Analyzia: You Ask It, We Find It

IBS ANALYTICS CLUB

VOL 4 ISSUE 1 AUG 2021

ANALYZIA MAGAZINE

ANALYZIA: YOU ASK IT, WE FIND IT

IDEAS TECHNOLOGY ANALYSIS BUSINESS

SURVEY NO. 156/157, IFHE-IBS CAMPUS, DONTHANAPALLY SHANKARAPALLI ROAD, HYDERABAD, TELANGANA 501203

Send your feedback/articles to IBS-Hyderabad, The ICFAI Foundation for Higher Education (Declared as Deemed University U/s 3 of the UGC Act 1956) Dontanapally, Shankerpally, Road, Hyderabad501203.

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Disclaimer The views expressed by the contributors represent their personal views and not necessarily the views of their organization. All efforts are made to ensure that the published information is correct. The organization is not responsible for any errors caused due to oversight or otherwise.

Copyright © All rights reserved. No part of this publication may be reproduced or copied in any form by any means without prior written permission.

Publisher Student Club IBS Analytics, IBS Hyderabad, a Constituent of IFHE, Deemed University.

[i] issue 1 Analyzia Magazine

Acknowledgement

Club IBS Analytics is extremely grateful to ICFAI Business School, Hyderabad for providing us a platform to unveil our magazine. As a team, we extend our sincere regards to Prof. Madhavi Garikaparthi Ma’am (Coordinator – Student Activities and Associate Professor, Department of Marketing & Strategy) and Prof. KS Venugopal Rao sir (Area Coordinator, Department of Marketing and Strategy) for their constant support and encouragement. We are also grateful to Prof. Dr. Manish Gupta sir (Assistant Professor, Department of HR), Prof. Dr. Vaibhav Shekhar sir (Associate Professor, Department of Marketing and Strategy), and Prof. Saravanan sir (Assistant Professor, Department of IT and Operations) for their immense support and guidance towards the launch of this magazine.

Club IBS Analytics

IBS Hyderabad, a Constituent of IFHE, Deemed University

[ii] issue 1 Analyzia Magazine

Our Coordinator

Prof. Madhavi Garikaparthi Coordinator- Student Activities, Associate Professor Marketing & Strategy IBS Hyderabad

Our Guide

Prof. Dr. Venu Gopal Rao Accreditation Coordinator Head of Department - Marketing & Strategy IBS Hyderabad

[iii] issue 1 Analyzia Magazine

Our Mentors

Prof. Dr. Vaibhav Shekhar Associate Professor Marketing & Strategy IBS Hyderabad

Prof. Dr. Saravanan D Assistant Professor IT & Operations IBS Hyderabad

[iv] issue 1 Analyzia Magazine

EDITOR’S DESK

Dear Readers, Hope you and your family are safe and

structure, company culture, and other

are following the social distancing

topics. Current scenario we can also

norms.

and

see that organisations depend so

knowledgeable Analyzia Vol 3 series

much on Artificial Intelligence , BIG

we, IBS Analytics Club brings to you

Data, IoT and so on.

another various

After

the

analytics issues

and

insightful

edition

covering

presenting

our

opinions on the most important business issues. As Covid-19 situation is nowhere near to end, our team is giving their best to connect with the world and bring World opinion on analytics in this magazine.

digital transformation, enabling datadecision-making

companies avenues

magazine “SIP Experiences” & “Junior’s Byte”, both can help you to find out what

are

the

Summer

Internship

Program experience of students and how all new students handle their curricular

as

well

as

co-curricular

activities in the current time.

Today's analytics experts are driving driven

We also Introduce two new topics in this

and for

throughout

providing

new

commercial

value

creation. The journal discusses how analytics may help with industrial

We believe in building a nurturing network hence we welcome your feedback on the topics discussed in the magazine. Feel free to reach us at ibsanalytics.editorials@gmail.com ,we would love to hear it from you!

[v] issue 1 Analyzia Magazine

Content Table

1

Who led the digital transformation of your Company?

Covid 19

6

Data Create a Competitive Advantage for Marketer

10

Scope for Big-Data Analytics in Higher Education & Student-teacher Engagements

13

The impact of Demand Driven Material Requirements Planning

20

The Human Side of Artificial Intelligence and Analytics

24

Minimize the Impact of Recession data on Predictive Analytics

27

Big Data-Competitive Advantage for Organizations

30

SIP Experiences

35

Junior Bytes

[vi] issue 1 Analyzia Magazine

Who Led the Digital Transformation of Your Company? Covid-19

“You can’t delegate digital transformation for your company… You and your executives have to own it! Executives need to engage, embrace and adopt new ways of working with the latest and emerging technologies.” — BARRY ROSS, CEO AND CO-FOUNDER, ROSS & ROSS INTERNATIONAL

T

he COVID-19 outbreak is a sharp

implications since these elements have not

reminder that pandemics, like

been thoroughly investigated before.

other sporadic disasters, have

Many firms have been forced to shutter as

occurred in the past and will continue to do

a result of the COVID-19 epidemic, causing

so in the future. Even if we can't stop this

severe disruptions in various industry

deadly disease from spreading, we should

sectors. Short-term difficulties confront

be prepared to mitigate the societal

retailers and brands, including those

impacts. The present pandemic is wreaking

relating to health and safety, supply chain,

havoc on economies all around the world

workforce, cash flow, customer demand,

and it does not look like any country will be unaffected.

This

has

sales and marketing. Many industries,

far-reaching

particularly in the tourism and hospitality

implications for not only the economy, but

industries, have faced the maximum

for the entire society, resulting in drastic

challenges due to this pandemic. All

change in businesses acts and consumers

organizational functions are designed to

behaviors. As we are in the midst of a pandemic,

predicting

its

prioritize and optimize expenditures, as

long-term

well as postpone work that will not add

consequences is extremely challenging.

value in today's scenario. Companies,

Despite the fact that society has been

particularly start-ups, have imposed a

affected by multiple pandemics in the past,

hiring

it is impossible to predict the long-term economic, behavioral, or

moratorium

indefinitely.

sociological

that

Simultaneously,

will

last online

communication, online entertainment,

[1]

and

e-commerce

are

all

seeing

extraordinary development.

market. When companies are forced to shift due to a pandemic, they have the

As of today, nations all around the world are still struggling with the COVID-19 epidemic, which has a wide range of consequences that have yet to be completely understood. What we do know at this moment is that digital technologies have made our lives simpler while also

benefit of being able to ramp up advertising

web

apps.

As

a

consequence, they are able to resolve issues in the sales and logistical channels.

There are four things that can be implemented for digital transformation: •

allowing businesses to continue a certain amount of activity, particularly during

via

Ensuring that business processes are efficient & effective, and

•

lockdown.

Ensuring that business processes stay competitive.

The term "digital transformation" refers to a major shift in how companies employ technology in order to improve their business

performance.

Digital

transformation is a shift produced or

•

Improving customer satisfaction, and

•

Making

different

strategic

decisions

easier

business

for

people.

affected by the use of digital technology in

When organizations are compelled to

every element of human existence to

change, digital transformation may be

increase a company's overall performance

quite beneficial. For example, consider

or reach. Digital transformation helps to

how online apps may handle two problems

speed up the business of a company by

at once, namely sales and logistics. The

utilizing technological tools and examining

supply chain can begin to rely on online

chances

platforms that link buyers and sellers of

that

might

aid

company

operations in order to expand the target

materials.

There are three things to consider when it

effectively since it may lower costs in a

comes to digital adoption - First, the need

variety of ways. Second, developing

of digital transformation isn't just about

business-related digital knowledge and

technology;

how

abilities. The truth is that not every

more

company requires a website; others simply

organizations

it's can

also

about

compete

[2] issue 1 Analyzia Magazine

Fig: New Reliance on Digital Solutions during COVID-19 Source: bdo.com

want

promotion

through

right

manual procedures, resulting in

methods. Due to a lack of awareness,

increased speed, less waste, and

digital

more time spent on revenue-

transformation

the

decisions

are

frequently less relevant to the demands of the organization. The third option is to use

generating activities.

•

integrated e-wallet services.

work remotely, so their focus is on maximizing staff efficiency and

Organizations that adopt digital solutions

maintaining business culture by

have more resilience in the face of adversity—and

a

leg

up

on

using collaborative technologies

the

competition, allowing them to recover faster and transition from defense to

and tools.

•

They are more prepared for and more robust to the contemporary

growth.

•

Their staff were already set up to

environment's rise of cyber threats.

They use digital technology to simplify operations and automate

•

They mine client or customer data to keep an eye on demand

[3] issue 1 Analyzia Magazine

•

fluctuations and find new client

optimization, and inventory management

demands.

are the primary problems they face in

They use data-driven knowledge to

order to stay competitive. The COVID-19

make and act on choices more

epidemic has had an impact on companies

quickly.

cultural

both on the demand and supply sides,

flexibility built in, allowing them to

since the pandemic has intensified panic

adjust or shift direction at any time.

purchasing and unprecedented peaks in

They

have

To capture this phenomenon, the term "digital economy" was developed. In simple terms, the digital economy is the economy that is increasingly influenced by digital technologies such as the Internet, mobile connectivity, cloud computing, big data,

machine

learning,

demand for specific items, generating serious supply chain issues. In these conditions,

supply

transformation

and

chain

digital

innovation

have

proven critical in avoiding long-term out stock.

artificial

Indeed, by altering internal processes and

intelligence (AI), blockchain, Internet of

connecting with suppliers, customers, and

Things

business

(IoT),

manufacturing, analytics,

robotics, predictive

and

other

smart

and new

partners

for

real-time

data

information exchange and cooperation,

digital

digitalization provides businesses with a

technologies that continue to emerge.

wide range of opportunities for business value creation. For both back-end and

Although digital transformation affects all

front-end

industries, it has varying effects depending

digitalization

on the kind of firm, with substantial

opportunities

distinctions

across

Businesses

commercial,

and

manufacturing, service

company

operations,

provides for may

several

creating

value.

automate

order

firms.

processing by integrating B2C and B2B e-

Manufacturing companies are particularly

commerce sites with their enterprise

concerned with reducing cost per product,

resource planning (ERP) and warehouse

production time, and the split of total

management systems. Businesses may

expenses into manufacturing, logistics, and

also integrate their customer relationship

administration. Flexible manufacturing,

management (CRM) system with their ERP

quality production, procurement cost

system to make selling easier and more

[4] issue 1 Analyzia Magazine

productive. Most of these services are now

and machine learning (ML) are two

being offered as cloud-based software as a

promising technologies that are already

service, making them more accessible to

being widely used in engineering, health,

small and medium-sized organizations.

and finance.

Other possible value drivers include the Internet of Things, additive manufacturing, automation,

blockchain,

artificial

intelligence, and predictive analytics. Big data and predictive analytics enable data mining of the massive quantity of data being gathered, while blockchain and IoT provide enormous opportunity to provide transparency and real-time information to

To summarize, businesses are speeding their adoption of digital transformation as the most effective method to avert a shortterm economic collapse and confront the COVID-19 pandemic with resiliency. The way we as humans define the role of technology in our work and lives will determine whether this trend continues.

supply chains. Artificial intelligence (AI)

SUBHODIP PAL MBA 2019 - 2021

[5] issue 1 Analyzia Magazine

Data Create a Competitive Advantage for Marketer

R

ecently,

marketing

has

the existing customers. Marketers can

significant

then collect even more data and, in

Marketers

the same way that businesses with a

nowadays rely mostly on data driven

large network effect do, marginalise

approaches. Data-driven approaches

your competitors. That whole process is

in marketing are the core of today's

called as customer-data capabilities.

marketing tactics, and they're a must if

There is another form of Data Strategies

you want to provide the personalised

called data enabled learning. It is

experience that customers want. What

much similar to the previous one where

does this mean for your company and

in the data acquisition is more likely to

how can you use it to your advantage?

be on digitally as more people uses it

Examine how it can assist your business

and eventually, a critical mass of

and how you might use it in your own

consumers

marketing.

shutting out competitors. There is a

Unfortunately, many people are still

virtuous

having difficulty with the data-driven

customers data, A virtuous cycle is a

approach. Many people ask us where

series of events that reinforce each

they may get useful information. Others

other

bemoan the lack of resources. They

resulting in positive outcomes.

undergone

a

transformation.

emerges,

circle

through

of

a

effectively

learning

feedback

from

loop,

have no idea how to access, analyse, or compare the data they have.

Strategies of New Marketers: Many marketers now use data to gain an unbeatable competitive edge over competitors. The more data you have of the customers that will create an offer to make better products or services for them and that will help to

Both customer data capabilities and

acquire new customers as well as retain

data-enabled learning are required to

[6] issue 1 Analyzia Magazine

achieve

the

greatest

competitive

massive amounts of data. Customers'

position. And just a few businesses are

personal

information,

able to do both.

behaviour,

content

Data-driven

businesses

preferences,

been

conversations, social network posts,

around for a long time. Credit bureaus

GPS position, and usage patterns can

and

now be collected directly by Internet-

information

have

search

aggregators,

for

example, face some challenges as a

connected

result of the economies of scale

Following the analysis of this "digital

involved in acquiring and structuring

exhaust"

massive amounts of data, but their

algorithms, a company's offerings can

business

include

be automatically changed to reflect

gleaning data from customers and

the findings and even personalised to

mining it to understand how to improve

people.

offerings.

The advantages of using data in

Customer data collection and use to

marketing:

improve products and services is an

In

age-old technique, but it used to be

gathering,

slow, limited in scope, and difficult to

massive amounts of digital information

scale up. It involved calculating sales

to improve business operations and

data, conducting customer surveys,

helps marketers make better decisions.

and

Decisions that, in turn, deliver far

models

convening

automobiles,

do

not

focus

groups

consumer

for

packaged

products by

marketing,

greater

and

machine-learning

data

analysing,

results,

services.

comprises and

and

using

do

it

goods businesses, and many other

faster. Following are the few points that

traditional

marketers can benefit from the data in

manufacturers.

However,

sales data was frequently unlinked from individual consumers, and because

other ways too. a. Target the right audience

surveys and focus groups were costly

Data

and

time-consuming,

number

of

only

customers'

assists

in

gaining

a

better

a

tiny

understanding of the target audience.

data

was

Marketers

can

obtain

a

better

obtained.

understanding of their target audience

With the introduction of the cloud and

by collecting any information about

new

changed

them. For instance, the term "know your

substantially, allowing businesses to

customer" (KYC) was coined many

swiftly analyse and make sense of

years ago to avoid bank fraud. KYC

technology,

this

[7] issue 1 Analyzia Magazine

gives

information

about

customer

desires of your target audience. You'll

behaviour that was previously only

have more product success if you

available to large financial firms. CRM

customise the value and features of

data, for example, can improve a

your

marketer's ability to predict customer

customers want.

behaviour even more.

products

to

match

what

d. Brand Awareness

As a result, marketing programmes are

Brand awareness is generally the first

developed that ensure clients receive

step

the right message at the right time.

marketing objectives such as leads and

b. Build connection with potential customers

in

achieving

performance

sales. Increase brand awareness by targeting

relevant,

high-quality

Data gives you the power to form

audiences, and you'll have a better

stronger

chance of converting customers and

bonds

with

potential

consumers. Marketers may use data to

dominating

create much stronger connections with

learn about website traffic, bounce

their target audiences. Furthermore,

rates, social media performance, and

they can do so on a large scale.

many other elements by using big data

c. Product Development

your market. You may

technologies.

Data helps in the process of product

You

development.

Connectivity

effectively in terms of awareness while

components are increasingly included

also identifying features that need to

in many products, in addition to

be improved significantly.

mechanical components.

and Connected

electrical

can

discover

what

works

e. Personalisation

products

Relevance and timeliness are essential

create a feedback loop by providing

components of successful marketing.

manufacturers with data on how to use

Customers today are sceptical of

their devices. Such information allows

generic marketing messages they get.

manufacturers

better

As a result, marketers must focus on

understanding of how items are used,

personalising customers' experiences in

which could lead to the development

order to engage them. Here's how

of products that are more suited to their

data can help you get there. For

intended use.

starters,

Before you launch, data may help you

overview of the target audience. It

understand the needs, pain areas, and

facilitates

to

have

a

[8] issue 1 Analyzia Magazine

it provides in

the

comprehensive identification

of

potential customers' pain areas and

Data can also be used by marketers

triggers.

to find new customers. For example,

Individual customer information, on the

if your customer watches video

other hand, can enhance a brand's

material more frequently than they

communication

read blog entries, you can pull that

with

an

individual. f.

information

Customer Acquisitions

from

the

data

management platform and use it to

Another significant benefit of big data

create a tool that recommends

in marketing is improved customer

more

acquisition. Using the cloud to collect

Alternatively,

and

consumer enjoys handbags, you

analyse

consistent

and

video

content

to

if

know

propose

you

personalised data from a variety of

might

sources, including the web, mobile

recommended

applications, email, live chat, and even

than something they don't want.

in-store interactions, is possible.

ABHIJEET DAS MBA 2020 - 2022

[9] issue 1 Analyzia Magazine

these

them.

purchase

as

a a

rather

Scope For Big Data Analytics In Higher Education & Student- Teacher Engagements

W

ith the advancement of

success

technology over the years,

conducive to their success.

a lot of industries have

been able to streamline or improve their process thus improving efficiency & productivity. But higher education is one of the few industries that hasn’t witnessed much innovation in terms of engagement and it could partly be because of the highly unstructured data pool or the lack of proper correlation-causality studies between various

factors

affecting

the

by

fostering

conditions

In order to rethink the fundamentals of student-teacher

engagement

we

have to approach it from both ends i.e. from the teacher’s perspective and the student’s. For any teacher or instructor, his/her effectiveness in engagement can be a result of their competencies in 3 segments. They are knowledge segment,

social

segment

and

technical segment.

performance.

The knowledge segment relates to the

However, with the emergence of big

domain knowledge of the instructor

data,

analyzing

and how well he/she can relay it to the

voluminous amounts of data and

students effectively. This aspect can be

finding

has

measured

become significantly simpler. Through

academic

this article, we look at the possibilities of

teachers

applying big data analytics in higher

citations, awards & laureates.

education to enhance its engagement

The social segment relates to the

efficiency and see if it’s possible to

interpersonal abilities of the instructor.

construct a theoretical framework to

The ability to communicate efficiently is

comprehensively evaluate a student’s

one of the most important qualities of a

performance as well as predict his/her

good teacher which in theory is the

success

only quality capable of inspiring critical

students’/institute's the

possibility

trends

indicators.

using This

&

of

relationships

key

performance

knowledge

through

the

individual

achievements such

as

of

the

publications,

could

thinking in students and this aspect of

potentially help institutions maximize

an instructor can be measured by

the students’ chances of academic

cumulatively tracking their emotional

[10] issue 1 Analyzia Magazine

intelligence, feedback from students

traits and abilities that are capable of

through surveys, professional interviews

predicting their future success. They are

& communication benchmarks etc.

cognitive & analytical abilities, self-

The technical segment relates to an instructor’s proficiency with respect to the latest technology that they could use to improve the quality of student engagement. Few examples under this segment could be the use of online classrooms,

message

boards,

innovative assignment modules using

awareness & response to leadership, concept

mapping

&

visualization

abilities and collaborative & social skills.

These are the logical and behavioral traits commonly found in all successful people and if scored and harnessed in students, it could lead to bolstering their chances of success post education.

technology etc. This aspect also plays

Cognitive & analytical abilities are the

an important role in improving student

logical and reasoning skills a student

engagement because as generations

has and they are incredibly important

progress, the technical abilities of the

in

student

on

problem-solving abilities that lays the

increasing. So, in order to be able to

foundation for success. These abilities

inspire them, the instructors have to

can be measured through periodic

equally competent in all fields and that

assessments and once computed, the

includes the technical segment as well.

scores could prove useful in identifying

community

keep

Collecting all the above-mentioned data and making a score module

forming

critical

thinking

and

areas of improvement and appropriate approaches.

would allow the institutions to score and

Self-awareness

rank their faculty into 2 or 3 distinct

leadership aspect of a student would

categories based on their strengths &

help instructors decide on appropriate

proficiency in all the 3 segments. Later

counseling approaches to take with

this distinction can be used as a

students. This aspect can also be

criterion for matching the teacher

measured with periodic personality

category to the appropriate student

assessments and the computed scores

category which increases the students’

would as mentioned above show us

chances of success.

the category of approach and areas

Similar to an instructor’s effectiveness

of improvements.

predictors, students also have a few [11] issue 1 Analyzia Magazine

&

response

to

Concept mapping & visualization is a

and every student has a wide array of

tricky

to

smart devices that keeps them online

measurement. It’s a trait or ability that

and that’s where most of the social

actually helps a student understand

interactions happen today. With the

and process abstract concepts like

institutional ID, if the institutes can

differentials,

and

obtain the number of collaborators in

people with high concept mapping

the student’s circle and how frequently

skills are usually better problem solvers

they work on a project and how

since

deeper

successful they are in completing the

understanding of the problem and the

project, the institute can arrive at an

causes leading to it. One way to

empirical score for that trait and use it

measure this in students is to have

as

personal interviews with professional

Indicators

and have them rated. This score would

success after graduation. If need be,

again help instituted design the best

the institution can also counsel him/her

possible

should they be found lacking in this

aspect

they

when

it

comes

philosophy

have

approach

etc.

a

around

the

one

of

the in

Key

Performance

determining

his/her

student’s abilities to ensure success.

trait.

Collaborative & social skills also play a

This

very important role in determining the

analytics in fundamentally rethinking

future success of a student and this can

an institution’s approach to higher

be measured with the number and the

education

quality

engagements

of

interactions

a

student

way,

leveraging big data

&

the could

&

student-teacher help

students

engages in with other students. There

achieve a higher rate of success after

was no ideal way to track and

college and act as an accurate

understand the collaboration factor of

success

a student 10 years ago. But now, each

universities as well.

prediction

Pratyush Kanda MBA 2020 - 2022

[12] issue 1 Analyzia Magazine

framework

for

The Impact Of Demand Driven Material Requirements Planning

T

oday

most

manufacturing

terribly wrong i.e. the people who use the

enterprises throughout the world use

MRP don’t trust them because the use the

a planning method and tool called

spreadsheets to work around the MRP

material requirements planning (MRP) is

calculations is rampant, several studies

the availability of the computer assured in

have shown that on an average 70% of

the era of MRP. Joe Orlicky brought MRP

companies

into the mainstream in his 1975 book

spreadsheets.to augment or supplant the

“Material Requirement Planning: The new

MRP planning equations despite them

way of life for production and inventory

having limited capability, scalability and

management”. MRP was a revolution for

transferability and addition to that they

the industry as it featured time phase

are also error-prone with nearly 90% of

planning, level by level BOP explosion

spreadsheets containing some form of

and dependent demand planning. It

error. This is not news to seasonal supply

promised to synchronize all components

chain personnel and demonstrates how

needs to end item demand, reduce

little faith they have in MRP. Therefore, the

inventory and improve the ability to

big question is what happened to the

prioritize. It changed the method of

promise of the tool and so to answer the

manufacturing in 1975 only 700 instances

question one basic thing we need to

of MRP existed in the world with the

realize is that today’s supply chain look

release of oral accused book and others

nothing like the supply chain of the 1950’s

like it, led to the proliferation of MRP

or 1970’s when the MRP rules were written

throughout the world. It became the life

but now complex and volatile is the new

for planning but we should not overlook

normal. If these rules have not changed

the fact that MRP was conceived in the

MRP still plans the way it did 50 years ago

1950’s, codified in the 1960’s and then

but now there is a huge gap between the

commercialized in the 1970’s and by 1990

circumstances the MRP was meant for

most manufacturers had it. Today almost

and the circumstances in which it is

every supply chain is dominated by MRP

currently being used. This change of

systems conveying signals up and down

circumstances has huge implications for

the chain to each other but something is

supply chain planning. Supply chains

[13] issue 1 Analyzia Magazine

have

meant

to

using

have elongated and fragmented from

So how a modern MRP system dealing with

global sourcing and distribution efforts

these changing circumstances, in order to

while customer tolerance times have

demonstrate how these systems are poorly

reduced dramatically. This widening gap

handling the new normal we will use a

in time is that stock at some point must be

simple graphic one that mostly anyone

kept in order to service the market.

familiar

It also means that the planning horizon is

comfortable with. There are two universal

farther from actual demand requiring us to

point of inventory point A is ‘Too little’ -

forecast farther out and additional stress is

component shortages and miss sales are

provided by the fact that we have more

experienced at this point and Point B is

products with shorter lifespans. All of this

‘Too

means that effectively managing key

capability materials and space committed

stock positions is a necessity for properly

at this point. At both of these points flow

servicing the market as well as effective

breaks down, if we know that these two

capital and resource management.

points exist then we should also have an

It

also

makes

detailed

item

level

forecasting much more difficult. There are three rules of forecasting i.e., the first is they start out wrong, secondly the longer the range the more wrong they are and lastly the more detailed the more wrong they are.

with

much’

supply

–

there

chain

is

will

excess

be

cash

idea that somewhere between the points there must be an optimal range, a level that is needed to protect flow without being excess. But still most companies exhibit

what

is

known

as

bimodal

distribution. Most of the inventory is either in the too low or too high range very little is within in the optimal range which is worse yet MRP run typically results in an oscillation which shifts from one extreme to the other this issue is reported by almost 90% of the companies while using MRP. Issue with the bimodal distribution is devastating to the bottom line, it means chronic and frequent shortages while also having excessive inventory and incurring high expenses due

Source:https://journals.pan.pl/Conte nt/113087/PDF/5-Pekarcikova.pdf

to expedite and waste still this is only at the single

[14] issue 1 Analyzia Magazine

company

level

and

a

single

company is only one component of the collective supply chain.

Source: https://blogs.sap.com/2019/02/ 17/s4hana-demand-driven-mrpddmrp-functionality/

Source: https://www.demanddriveninstitute .com/ddmrp

This brings us to the demand driven material requirements planning (DDMRP) is a method to model plan and manage supply chains to protect and promote the

The collective problem is the one that

flow of relevant information and materials.

wreaks havoc on modern supply chains; it

DDMRP uses strategic decoupling points to

is called the bullwhip effect. It is the

drive

transference

of

management throughout supply chain. It

variability up and down the chain, it is bi-

was first introduced to the world in the third

directional.

edition

and Issue

amplification with

the

bimodal

supply

of

order

the

generation

Orlicky’s

and

Material

distribution is devastating to the bottom

Requirement Planning. After 15 years of

line,

research

it means chronic and frequent

and

application

shortages while also having excessive

innovation

inventory and incurring high expenses due

requirements with today’s prominent flow-

to expedite and waste still this is only at the

based improvement methodologies.

single company level. The more parched

It can best be summarized as position

to the chain the worse the effect any

protect

lasting solution to the bullwhip must

sequential

address the bi-directional nature of the

decoupling, buffer profiles and levels,

problem.

dynamic adjustments, demand driven planning

it

and

pull.

and

key

DDMRP

components

collaborative [15] issue 1 Analyzia Magazine

fuses

through

lastly

i.e.,

planning

has

strategic

visible

execution.

five

and DDMRP

strategically places the coupling points of

In this figure we see the difference

inventory within the product structure and

between the MRP and DDMRP view

supply chain.

planning. MRP couples every activity together this produces a longer plan lead time which means that date and quantity changes and one thing affects everything on the right whereas DDMRP design decoupling points have been used to create

shorter

independent

planning

horizon that stop the cascading effect of changes at critical areas, in this the market lead time is compressed to one week. The critical difference is that MRP was never Source: https://www.scmo2.com/2019/ 07/01/the-what-and-why-ofddmrp/

designed to decouple, it makes everything dependent

forcing

longer

planning

horizons and introducing massive amounts of system nervousness.

These points are carefully selected through a variety of factors; the placement stops the transfer and amplification of variability in both directions of these strategic points as well as planning horizons shorten and leave time compress immediately.

Source: https://slideplayer.com/slide/1226 6426/ Source: https://www.demanddrivenin stitute.com/ddmrp

The second component of DDMRP are buffer profiles and levels, this is simply

[16] issue 1 Analyzia Magazine

building the level of shock absorption at

The next component of DDMRP is dynamic

the decoupling point so that it can

buffer adjustment, once the initial buffer

mitigate variability in both directions, part

sizes are set, we know that things will

demand information based on historical and/or

forecasted

usage

rates

is

combined with the DDMRP part settings to create a unique color coded three zone buffer in which each zone has a welldefined purpose and a particular method to calculate it. The critical difference is that the DDMRP was designed specifically for the management of key stock positions

Source: https://slideplayer.com/slide/122 66426/

whereas MRP was never intended to manage stock instead its intent was to be the perfect make to order calculator negating the need for stock that is the reason why MRP nets to zero and DDMRP never nets to zero.

change. DDMRP allows the buffers to flex up or down with either changes to actual usage or anticipation of events or seasons.

The critical difference is that most safety stock and order point systems are static

Don’t be fooled by the concept of safety stock it was forcibly grafted onto MRP due to increasing levels of variability the safety stock mechanism is an inelegant and ineffective stock management tool and, in many cases, exacerbates the bullwhip effect by introducing additional demand signal distortion that ultimately require high levels of overall supply chain inventory and expenses.

and not dynamic.

The

fourth

component

of DDMRP

is

Demand Driven Planning. In DDMRP, planning is the process of generating supply orders in order to do that DDMRP uses a unique equation. The demand element

of

forecasted

that orders.

equation

has

Conventional

no MRP

planning uses planned orders derive from forecast to generate orders in anticipation

Since safety stock doesn’t a couple at best

of need over a longer planning horizon.

that can be distinguished as a sequence

DDMRP uses only qualified sales orders

of fire extinguishers when firms and supply

within the immediate allocations. A critical

chain really require a series of strategically

difference in the quality of the demand

placed and managed firewalls.

signals. A sales order is highly accurate, is an explicit statement of what will be [17] issue 1 Analyzia Magazine

consumed while planned orders are highly

will produce different views of priority

inaccurate.

order

based on arbitrary and constantly shifting

generation equation is called the Net Flow

due dates while the others show relative

Equation. The quantity on hand is added

and real-time threats to flow that is both

to the quantity of open supply, then

highly visible.

This

unique

supply

quantity of quantity demand is subtracted this produce the day’s net flow position if

Conclusion

the day’s net flow position is below the top

Overall,

of the yellow zone an order is issues for the

companies plan execute in optimal ranges

amount to reach the top of the green

strategically chosen points that means

zone. Once again DDMRP is designed to

flow is protected and promoted. The

never net to zero.

typical benefits of DDMRP are compelling

The final component of DVMRP is visible and collaborative execution. In DDMRP,

DDMRP

is

proven

allow

such as:

•

The users consistently achieve 97 to

execution is about the management of

100%

open supply orders. DDMRP uses easy to

performance.

interpret signals on open supply priorities

to

•

against the on-hand buffer position, the

on

time

filler

rate

Lead time reduction in excess of 80% has been achieved in several

lower the on-hand level the higher the

industry segments.

threat to maintaining flow and the higher the execution priority that’s a critical

•

Typical inventory reductions of 30 to

40%

are

achieved

while

improving customer service.

•

Costs related to expedite activity and

false

signals

are

largely

eliminated

• Source: https://www.scmo2.com/2019/07/01/ the-what-and-why-of-ddmrp/ difference between MRP and DDMRP is that MRP assigns priority by due date while DDMRP assigns priority by buffer status. This

Planners

have

information;

they

relevant see

priorities

instead of constantly fighting the conflicting messages of MRP. In a long-term basis, DDMRP can be very vital in the growth of the different industries which are heavily dependent on the

[18] issue 1 Analyzia Magazine

supply chain. It can be the solution for the

of systems into their workplace is because

various loopholes they can find in the

it will help them in cost reduction which

material requirement on the basis of

can further help them in expansion and

demand. The very major factor why

growth.

companies need to implement these kinds

Ayush Bansal MBA 2020 - 2022

[19] issue 1 Analyzia Magazine

The Human Side of Artificial Intelligence and Analytics

“The development of full artificial intelligence could spell the end of the human race….It would take off on its own, and re-design itself at an ever-increasing rate.

Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded.”

— Stephen Hawking told the BBC

I

n the era of Artificial Intelligence

reasoning and learning, sophisticated

and Machine Learning, will people

analytic and pattern recognition, visual

be better off than they are today?

Yes, we do fast production, we save lots of time and energy with the help of AI robots but we lose lots of jobs and its continuously

increasing.

On

the

otherside due to increase in such demand, in R&D sector more creative and better paying jobs are opening

acuity, speech recognition , language translation and many more. Easier to use customized features will be offered to the communities whether it is in business processes or in vehicles or in agriculture or in securities or in health sectors.

which can be done only by human

For this all we need is Data, the fuel of

beings.

AI and ML and Analytics helps us to

According

to

many

experts

and

researchers’ neural technology will amplify human effectiveness but there is a question mark that will it reduce human capabilities, will it affect the human

autonomy?

The

growing

Artificial Neural Network Model will help computers

to

exceed

human

identify, interpret and communicate the meaningful patterns of the data.

The whole process can be parted into several stages according to Gartner Analytic Ascendancy Model. Gartner Analytic Ascendancy Model is divided into four stages of increasing difficulty and value. These are

intelligence and capabilities on tasks

•

Descriptive analytics

such

•

Diagnostic analytics

•

Predictive analytics

as

complex decision-making,

[20] issue 1 Analyzia Magazine

•

Prescriptive analytics

Prescriptive Analytics

Predictive Analytics

Value

Descriptive Analytics

Diagnostic Analytics

Difficulty

Fig: Gartner Analytic Ascendancy Model

The amalgamation of analytics and AI is termed as AI analytics. This is subset of business intelligence that helps the data analyst’s capabilities in terms of speed,

scale

of

data

that

can

analyzed and the granularity of the

AI Analytics in Banking Sector Objective: To detect fraud checks in real

time

during

deposit

and

to

minimize manual review of deposited checks.

Aim: To find a solution which will reduce

data that can be monitored.

Traditional analytics often involves a high degree of manual labor for data like data pre-processing, visualization,

the workload of the employees, fraud risk and also help the organization in lowering processing cost.

coming up with different hypotheses

Approach: Collecting all the historical

and

statistical

data of past transactions and using AI

techniques. But AI analytics will solve

analytics, a model is prepared to solve

this with no time. It can help in

the issue.

forecasting demand, fraud detection

Solution: An artificial intelligence driven

and even business monitoring.

ML solution is developed to cut out

applying

several

potential fraud by analyzing scanned images of handwritten checks. This

[21] issue 1 Analyzia Magazine

technology already has a pre-defined

(47%),

data base which will match the

helpful(36%)

scanned images and detect if any fraud is there in no time.

According to Mordor Intelligence, the global AI fintech market is predicted to reach $22.6B in 2025, achieving a CAGR of 23.37% between 2020 and

and

AI and ML automate Point of sale data: Understanding

sales

trends

and

customer preferences is very important for any retail outlet or e-commerce organization to maximize the profit.

By

2025.

innovative(40%)

collecting

data

of

different

transactions, sales of different products,

AI driven Chat Bot:

customers preferences a AI driven

This is a very new trend in our daily life.

model is made. It uses text analytics

We often do calls to customer care for

and natural language processing to

any silly requirement. But to respond

categorize data. Th cognitive engine

that an organization has to drain

on Microsoft Azure scans and identifies

employee productivity, morale and

merchant and transaction information-

operating cost.

including products, retailers, vendors,

To reduce this, AI driven chat box is introduced.

It

reduces

workload,

promotional offers from retail receipts using natural language processing.

operation costs and helps to responses

By this technique future sales pattern

common questions where possible.

and customers preferences can be

The model is made by collecting

predicted.

several data regarding the customers’

The AI in retail Market was valued at

demands,

and

$1.80 billion in 2020 and is expected to

uses

reach $10.90billion by 2026, at a CAGR

several natural languages to meet all

of 35% over the forecast period 2021-

client’s requirements. By identifying

2026. AI will

similar keywords and finding pattern in

decisions in marketing, e-commerce,

the chat it responses accordingly.

product management and other areas

organizations’

feedbacks motto.

It

also

PSFK says that 74% of customers prefer chatbots when they are looking for

drive

faster

business

of the business by decreasing the gap from insights to action.

instant answers. With companies that use chatots in retail seen as efficient [22] issue 1 Analyzia Magazine

AI driven power system maintenance,

Improving

cuts costs for electric utility:

through AI Data analytics:

It is time consuming to locate such a

Economic

huge

healthcare

distribution

network

if

any

Patient

Insights,

stability, system

Care

education, and

physical

electrical or mechanical fault occurs.

environment are considered to be

But with the help of technology, it

important

becomes more feasible to locate the

patients’ holistic healthcare needs and

faults. Now a days drones are used to

outcomes.

collect the images. AI driven image analytics

application

that

assesses

drone captured photos in real time to identify problems.

factors

in

addressing

By mining the unstructured data found in doctors notes book or from medical reports an AI-ML solution is made which will identify and analyses which social

An optimal cognitive computer vision

determinants

model has been employed to provide

significant

the highest accuracy and ease of

health. This will help any patients to

implementation to seamlessly scale

take proper care at proper time. By this

and

almost 11% of the total population is

accommodate

pipeline.

the

alerting

of

impact

health on

a

have

a

patient’s

identified with homelessness and food insecurity related social determinants.

SUKRITI ROY MBA 2020 - 2022

[23] issue 1 Analyzia Magazine

Minimize the Impact of Recession Data on Predictive Analytics

I

f a company can predict its future

together based on comparable

on the basis of past & current data

traits and purchase habits.

then maybe no one can stop the

Predictive Maintenance Model:

•

company from blooming, but suddenly

Estimate the likelihood of critical

that data got disturb then what the

equipment failing.

company will do? When big data

Quality Assurance Model: When

•

came into the market business strategy

supplying items or services to

totally changed even medical, sports,

consumers, look for and prevent

education everywhere data played a

faults to minimise dissatisfaction

big role. Business takes it another step.

and additional expenses.

They try to analyze the past and current data and try to establish some kind of connection and make predictions for the future, here comes Predictive analytics.

Then Covid-19 hit and it was the first recession which disrupted the Big Data of

the

country.

consumer

Everything

behaviour

to

from supply

networks has been affected by the

Models that are blocked from further

Covid-19 epidemic, and the economic

analysis; all of them are templates that

consequence is creating even more

allow users to turn the historical and

changes.

current data into actionable insights

analytics is grappling with a difficult

that result in great results for a long-

problem like: how to utilise historical

term basis. Predictive models that

data to forecast future behaviour in the

come in a variety of shapes and sizes:

face

•

Customer Lifetime Value Model: Determine which consumers are most likely to spend more money

•

of

Lendingkart

The

discipline

of

ambiguity. and

many

data

Deloitte, more

organisations give their concern on this topic.

on products and services.

As per Deloitte India “From customized

Customer Segmentation Model:

marketing to supply and demand

Customers

patterns, finance to customer service,

are

grouped

[24] issue 1 Analyzia Magazine

speculation

algorithms

built

on

behavioural patterns and foresight.

Historical data has always played a role in early drivers, and these models provide valuable value and robust decision-making

tools.

However,

Covid-19 has affected us in all aspects of life, from how we live, how we work, how we use, how we move, and thus

capabilities and create stronger early warning systems during those tests.”

So, minimise that gap need some serious work, from deloitte India to many data science expert gives their various opinions in this matter, they are as follow: o

everything, as COVID-19 may

disrupt data patterns significantly.”

have far more impact than

The pandemic unpredictability nature

anyone can imagine and can

poses a big threat in predicting the

change demographic business.

future and hence the anxiety on the

Identify

reliable past data in decision making

education system faces a huge

chain, even customer service just one

challenge in offline class they

step behind and that is how to read

shift to online and google take

that disrupted data. Data models vastly

this

rely on past data for prediction and

Though many come up with various strategies but is this going to be a game

this

challenge

as

an

opportunity to imitate these many aspects

and

underwriting

conditions

model

that

in

its

will

be

updated in line with growth and changes in the ecosystem. This will also strengthen

their

risk

assessment

an

opportunity

and

These abilities for rapid data

main challenge for any organisation.

take

as

launch Gmeet for their business.

modifying that model now poses a

same. In an article Ledingkart said

emerging

by case. For example, when the

From personalized marketing, supply

changer the question remains the

those

challenges and prioritize cases

process for present as well as future.

“They

Plan ahead on data: Planning is

proliferation

and

data

synchronization

give

business

power critical decision making. o

Re-prioritize

data

initiatives:

Cutting cost is always the main aim for many organizations, now changing data models puts extra

burden

organization.

for

the

Better

re-

prioritization of initiative can help. For example, Kantar IMRB adopted a call-based research policy in the current scenario

[25] issue 1 Analyzia Magazine

which is more kind of optimize data

o

structure

and

cost

Business

Translators:

Organizations need not only

effective.

information

Increase adoption: The process

information engineers, but also

of understanding the data in

“business translators” who can

action should be faster and

bridge

faster. Immediate adoption will

business and business statistics,

be facilitated by investing in

which

agile and construction data

focused thinking. This will help to

solutions.

align

Additionally,

agile

can the

reduce

scientists focus on faster data

resilience.

develop understanding.

Scenario Planning: Instead of focusing on a single forecast or a basic outcome, businesses should

plan

opportunities.

multiple Advanced

analytics can help businesses make better decisions faster, but they have to throw in models, face skewed data, transform

scientists

the

solutions that will help data usage, processed data, and

o

o

gap bring

between business-

company’s

risk,

and

and

goals,

increase

In conclusion, with data, a culture of collaboration

across

Technology,

People, Processes, and Equipment can reduce the impact of COVID-19 on a company.

Organizations

should

increase their ability to quickly use and analyze data. To reduce the impact of COVID-19 today, one must predict what will happen as a result of COVID19.

and stay rational.

AKSHAY GHOSH MBA 2020 - 2022

[26] issue 1 Analyzia Magazine

Big Data-Competitive Advantage for Organizations

B

ig Data is defined as “largescale data from many sources and structures that cannot be

analysed using traditional methods and is used to solve organizational or societal problems.”

Multi-sourced

ICT and competitive advantage The

role

of

ICT

organizational

in

value

enhancing has

been

investigated. For example, it has been discovered that investing in ICT can bring value to an organization on

unstructured

text

average, but that the generation of this

combined with location- and sensor-

value is often dependent on various

based real-time data in time series, for

factors such as establishing a sufficient

example, could be utilized to better

user

understand customer

organization to capture the potential

behaviour

in

marketing.

of Information and Communications Technology (ICT) and the upper hand of associations, it isn't sufficient to consider how data frameworks are built created,

incorporated

restructuring

the

of new ICT, or developing new skills,

When contemplating the relationship

and

base,

or and

how

they

around

technology.

the

capabilities This

advantage does not have to be monetary; for example, it could arise from enhanced customer pleasure.

Given

the

ever-changing

market

environment, it has been suggested

important to focus on how the clients

that achieving long-term competitive

are using the ICT in their exercises.

advantage through ICT necessitates

Surely, client situated innovations are as

overcoming

of late in the spotlight, like Big Data,

Scholars underline the fact that ICT is a

Cloud

Mobile

technology that is intricately linked to

examination

the organizational fabric. Bharadwaj

addresses the connection between Big

(2000) and Piccoli & Ives (2005), for

Data use and authoritative upper

example, highlight how ICT may be

hand.

used

Computing.

This

and

It

and

is

Computing,

overseen.

are

competencies,

to

organizational

create

organizational [27] issue 1 Analyzia Magazine

barriers competitors

rigidity.

against by

combining

it

with

other

complementary resources. Using ICT as a competitive weapon appears to necessitate extensive preparation and investment

in

order

to

build

an

organization-wide ICT capacity based on lower-level competencies.

Big Data empowering the ICT user to create competitive advantage As previously stated, business division users have long been regarded as critical

in

achieving

organizational

ICT-based competitive

advantage. The role of users has been

ICT has recently become pervasive

seen from a variety of perspectives,

and

including their importance in system

present

in

practically

every

organizational activity, with ICT services

acceptance

acquired and sourced from outside the

participation in system development,

business. This commoditization of ICT

and acting as developers themselves.

may lead to a situation where ICT

The literature has also identified post-

differentiation in a competitive market

adoption of systems, or their continuous

becomes

use after the first stages of adoption.

more

challenging.

ICT

capability did not add to company performance, which could serve as a warning of such a scenario. As a result, it's unclear to what extent new ICT, such as those connected to Cloud Computing and Big Data, contribute to organizational advantage.

competitive If

a

contribution

is

apparent, as described above, it is more likely to be based on the valuable use of data created by the ICT than on the presence of the ICT itself. Big Data derived from ICT has the potential to

The

traditional

and

definition

diffusion,

of

"user"

highlighted that the system being used, not the person utilizing it, was the main source of potential for the company.

Today's users, on the other hand, are frequently knowledge workers, experts, and managers whose jobs centre on information and whose work outputs are

the result

of processing and

analysing data in groups rather than as isolated parts of the organizational machine.

aid learning in the business (user)

These users benefit from a richness of

divisions. As a result, Big Data refocuses

communication that enables them to

attention on an organization's human

translate their everyday practices and

resources

action-based

and

their

capacity

to

knowledge

into

transform data into knowledge, and

organizational competence and they

eventually, competitive advantage.

should be supported by, for example,

[28] issue 1 Analyzia Magazine

developing culture,

a

knowledge-sharing

establishing

knowledge-

sharing processes and structures, and rewarding knowledge use. While it is

divisions, which are well-positioned in terms of customer data access.

Conclusion

critical to evaluate the progressive

The fast evolution of technologies that

dissemination and adoption of Big

can generate and analyse enormous

Data technologies in businesses, the

amounts of data is having a significant

true value of Big Data is most likely to

impact on society and businesses. As

emerge in this type of knowledge-

the lucrative use of data is increasingly

based work, where data is processed

expected in value creation, ICT users

into forms that can be used to make

have

decisions.

competitive force for enterprises. Data

Big Data has huge potential for usergenerated knowledge production. Big Data

can

significantly

boost

the

quantity and quality of this data, and this link will likely become increasingly essential in the future. The marketing division of the business has long been interested in the use of information systems, and in recent years, the relevance of ICT skills for marketing professionals has been highlighted. The influence of Big Data on organizational sustainable competitive advantage is likely to be realized through knowledge generation

activities

in

marketing

and

become

a

information

increasingly

significant

have

important,

grown

emphasizing

the importance of Big Data users in generating

new

knowledge

and

opportunities for businesses. ICT and competitive

advantage

organizations

are

in

intricately

intertwined. As a result, using Big Data for competitive advantage will rely on a number of antecedents, some of which are similar to those discovered for

the

link

between

ICT

and

competitiveness, while others may be novel. We investigate the relationship between

Big

Data

usage

and

competitive advantage in this study.

Vishakha Kaushik MBA 2020 - 2022 [29] issue 1 Analyzia Magazine

SIP EXPRIENCES

T

he main objective of project i.e., Research Analysis and building working models based upon Financial Modelling, Capital Budgeting and Decision Criteria for spaces to be provided. I have gained knowledge and understand the work

culture of the organization under the coworking space sector and even learned the various aspects and prepared financial models based upon analysed factors such as area pricing maintenance cost, labour cost, market acceptable price etc. Taking regular feedback from the clients to give them the best service possible and resolve any query if there is, is of utmost importance. I have also even studied guidelines for Disbursement of Seed Fund to Start-ups by Incubators, government policies and perks for incubation centers for detailed knowledge. Looking at the current market trend coworking sector is booming and the people are looking for a more feasible workplace and especially when talking about Hyderabad the demand is continuously increasing in which the Make In India campaigns, Start-up India campaigns plays a big role. To fulfil this demand and bridge the gap between demands and supply our company is looking to set up a place in Hyderabad and Pune. I have done the analysis with the help of telephonic conversation and virtual meetings with Pune Experts, Property Dealers, Architects and Builders, collecting the data from the internet, inputs from operations team and studied the existing coworking spaces, prices, services they provide and what is the clients demand. Then the Financial Models were prepared accordingly. I have also learned how to file tax invoices, GST and TDS returns and analyse financial statements and handled all the aspects practically as well. I have even organized and managed events happening in Octo Spaces. Additionally, exploring my creative side prepared various promotional posters, videos and handled social media handles related to the organization to increase the reach and gain more and more client.

SIMRAN KAPOOR 2020-2022 Octopus groups

[30] issue 1 Analyzia Magazine

F

yndhere Services is a very young company in the industry of consumer services platforms with an aim of revolutionizing buyer/seller interaction through their Fyndhere mobile application. As a product & strategy intern with the company,

my role revolved around ideating new features for the app, prototyping them, testing them and pushing them to development once approved. The company being very young in age & experience had no standard operating processes, teams, hierarchies defined; navigating through the chaos was very challenging in the beginning. But as the internship progressed, all of the interns were able to collectively agree upon & setup various guidelines for collaboration, escalation matrices etc. which gave the workplace a lot of structure and stability. With respect to my role & responsibilities, having no experienced product manager in our team to guide me on the day-to-day activities certainly caused some confusion in the beginning. But it also allowed me enough freedom to plan my own work and how I approach my deliverables making me a better performer.

I

Pratyush Kandala 2020-2022 Product & Strategy Intern, Fyndhere Services Pvt Ltd

did my three months summer internship program from LCAS which is a risk advisory

firm. It also deals in insurance as well as has a dedicated team of Certified Financial Professional. As my field of specialization is finance, my job role was to

understand the risk appetite of various potential customers in terms of their responses to certain questions which will help us to understand their mindset and the other task was to fully understand the role of a Certified Financial Professional. My company mentor was Mohan Reddy, under whom I have learned various things in the field of finance. He was really helpful whenever we were facing issues in the learning stage.

Overall, doing this internship was a wonderful experience and it gave me a lot of exposure in terms of professional jobs in the financial sector.

Ayush Bansal 2020-2022 Leonine Corporate Advisory

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M

y SIP with one of the leading IT firms was on a roller coaster ride. I had a chance to work with the IT support team of Marketing and Sales. Explored the cutting-edge technology involved in the automation of marketing

and sales activity, lead generation techniques. I was given an opportunity to research the marketing digital transformation and build the foundation for agile content management along with the client engagements which involved requirement gathering, data mapping, and data migration. Overall it was a spiffing experience and learning opportunity with the most disciplined professionals.

Shashank Bennur 2020-2022 IT FIRM

I

have done my SIP from a start-up company named ACASIA GLOBAL CONSULTING

LLP. This is a reputed name in imparting corporate training and providing strategic and management consulting. Acasia knowledge management initiative is a wing

of Acasia global consulting. Acasia knowledge management initiative is a wing of Acasia global consulting. It conducts executive education programs in India for the top and middle management executives. It organises programs frequently in nations like Bangladesh, the UAE, Singapore, Sri Lanka, Nepal, Malaysia and Thailand. So, my Sip responsibilities were divided into 2 sections. Firstly, I have prepared a course module on the topic ‘Financial Statement Analysis’ which was for the consultation purpose of the company and also to increase its knowledge bank. Secondly, I researched thoroughly by going through a lot of papers, articles, news, journals to understand the research gap of my project titled An analysis of Effectiveness of working capital management of Major Indian companies. In this report detailed analysis [holistic approach] of the efficiency, components, and challenges of Working capital management of BSE 30 companies have been provided by analysing the annual reports of these companies. The reason for selecting these companies is that the clientele of our company is majorly from the banking sector, finance sector and IT consulting services.

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A sample of BSE 30 companies has been chosen and the companies that are leading in the industry are considered according to the IBEF report 2021. Microsoft Excel has been used for ratio analysis purposes. This project also shows the holistic overview of WCM of 3 major industries and the impact of COVID19 on those. Also, this project tried to find the future scope of applying the problems which may help the Indian MSMEs to implement these efficiency parameters in managing their working capital.

Diptakshi Mondal 2020-2022 ACASIA GLOBAL CONSULTING LLP

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JUNIOR’S BYTES

Life at IBS During this online environment, we all were skeptical at first whether the college will be able to keep up with the learning and challenging life that MBA offers. And after 2 months, we can say without a doubt IBS Hyderabad has exceeded all our expectations, be it the studies or the Co-curricular activities they have kept us on our toes from the beginning of the session.

Club activities are an integral part of IBS Hyderabad and in spite of a hectic academic schedule they have been very engaging with all kind of events and competitions taking place. And the most interesting part is that all these clubs are run by several student bodies who manage all the activities. All the faculty members are highly qualified, knowledgeable and helpful. The course curriculum is very much aligned with the needs and demands of the industry.

About IBS Analytics Club Coming from the diverse background, those who were interested in data research and analysis, applied for the IBS Analytics Club. The club has different verticals like marketing, operations, digital, events, matrix, editorial, networking and PR. The club interviews here are very unique testing our all-round abilities to check whether we will be a good fit in the club or not. Same happened here, the Interview process was well managed and time schedule was strictly followed. First round was a Q&A session with the seniors and along with it a task was given to us based on the vertical we were interested in, Matrix (Research Vertical) were given a task of writing an article to showcase that whether they have the qualities to be a researcher, similarly Marketing Vertical were given a task of making a unique poster and so on.

After getting selected for the second round, we were one step closer to being a part of Analytics family, the second round was the most unique round of all, where we were given a situation and from which we were supposed to make a storyline. It was an activity being shared between five people and we all were supposed to make our own story impromptu

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and whenever asked were supposed to continue someone else’s story as well. After this a group discussion round was conducted in which each group was given a topic which was completely uncommon. These rounds tested our creativity, communication skills and group co-ordination.

The third round was a technical cum HR based interview about the field we were interested in, and were asked questions related to Business Analytics and our first-round task. The complete scenario of the interview was just like a real-life interview where our communication skills, confidence and knowledge were tested.

After being selected we were given a welcome induction by our seniors and club mentor Prof. Vaibhav Sekhar. After this ceremony we were assigned into our desired verticals. We all were assigned different tasks to be completed in a given deadline and were assigned mentors to help us complete the task with full adherence to the rules and regulations. These tasks help us to learn how to work on different tools which contributes to our overall learning process. The seniors are very helpful and are always ready to help us in any ways possible, be it in our academics or our doubts related to skills which needed to be developed along with our academics.

Kanishq Dubey 2021-2023

Nivedita Paul 2021-2023

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Meet the Team

EDITED BY

Vishakha Kaushik Diptakshi Monda Gomathinayagam P

COMPILED BY Akshay Ghosh

DESIGNED BY Akshay Ghosh Sukriti Roy

ADVISORY TEAM Vishakha Kaushik Sukriti Roy Akshay Ghosh

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IBS ANALYTICS CLUB

VOL 4 ISSUE 1 AUG 2021

ANALYZIA MAGAZINE

ANALYZIA: YOU ASK IT, WE FIND IT

IDEAS TECHNOLOGY ANALYSIS BUSINESS

SURVEY NO. 156/157, IFHE-IBS CAMPUS, DONTHANAPALLY SHANKARAPALLI ROAD, HYDERABAD, TELANGANA 501203