Data Analytics Company in Bangalore | Data Science | Data Engineering | Crossroad Elf

Data Analytics Company in Bangalore | Data Science | Data Engineering | Crossroad Elf

Who We Are

Crossroad Elf DSS Pvt Ltd (Crossroad Elf) is a leading IT Services Company headquartered in Bangalore, India. The company’s core competency includes Data Engineering, Digital Marketing, and Web-Based solutions. We provide turnkey solutions to customers who are keen on succeeding and achieving sustainable growth in the modern day business scenario. We bring together design, technology, and innovation, to provide solutions tailored to suit customer needs. In the process, we create unique experiences and key moments of interaction with a focus on the client’s end goals – profits and growth. Our services portfolio is wide-ranging, covering the entire gamut of specializations such as Data Engineering on cloud platforms AWS & Azure, Conventional Data Analytics & Business Intelligence, Digital Marketing,. With an agile and adaptive project management approach and efficient insightful business and marketing support, Crossroad Elf DSS Pvt Ltd creates cost-effective, go-to marketing strategies within the client’s budget and timelines. The result: revenue, profit, and growth!

Mission

Our Mission is to help our customers unleash their growth potential in the new age digital world by providing high-quality solutions and adding value in every solution that we provide to the customer.

Vision

The vision of Crossroad Elf is to be the best in the class customer focused IT Services Company in India.

Values

Crossroad Elf is an organization that is built on the foundations of business values and business ethics. We believe in creating value to our customers with strong adherence to integrity and business ethics.

Services :

 Data Science and Engineering

A Decision Support System is only as good as the data in hand. Most companies store data in different formats and sources. As a Data Engineering company we will mainstream our focus into transforming the data into formats that are useful to integrate, analyze and make better decisions.

With the intention of building better products and solutions, our Data Scientists believe in understanding the data, modeling the data for analysis, picking up trends and patterns.

 Information Management & Research

With the ambition of being the trusted advisors for our customers, we strive to provide the most precise at the same time comprehensive services for every need of our customers. We intend to assist the customers in all aspects of Information Management across our stakeholder’s organization.

Information management (IM) involves a cycle of organizational activity: the acquisition of information from one or more sources, the custodianship and the distribution of that information to those who need it, and its ultimate disposition through archiving or deletion. This cycle of organisational involvement with information involves a variety of stakeholders: for example those who are responsible for assuring the quality, accessibility, and utility of acquired information, those who are responsible for its safe storage and disposal, and those who need it for decision making. Stakeholders might have rights to originate, change, distribute or delete information according to organizational information management policies. Information management embraces all the generic concepts of management, including planning, organizing, structuring, processing, controlling, evaluation and reporting of information activities, all of which is needed in order to meet the needs of those with organizational roles or functions that depend on information. These generic concepts allow the information to be presented to the audience or the correct group of people. After individuals are able to put that information to use it then gains more value. Information management is closely related to and overlaps with, the management of data, systems, technology, processes and –where the availability of information is critical to organizational success – strategy. This broad view of the realm of information management contrasts with the earlier, more traditional view, that the life cycle of managing information is an operational matter that

requires specific procedures, organizational capabilities, and standards that deal with information as a product or a service(Source: Wikipedia)

Some of the important areas of Information management that we support are: 1. Data Cleansing

2. Data Migration

3. Data Mining

4. Dimensional Data Modelling

5. Tool/Platform Migration

 AWS Data Engineering

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 165 fully featured services from data centers globally. Millions of customers —including the fastest-growing startups, largest enterprises, and leading government agencies—trust AWS to power their infrastructure, become more agile, and lower costs.

Why Choose AWSfor Data Engineering? Leading the market for more than 10 years, Amazon Web Services offers a wide variety of services, including compute power, database engines, resources for authentication, and services for migration of data and storage solutions. With an added benefit of having a global infrastructure, you will be able to deploy your application and collaborate internationally. Pay as you go, pricing model will reduce the aftermath of investing in services you have no use of right now. Scalability at the tip of your fingers ensures growing and changing of products and services you provide on smoother run.

What Crossroad Elf Provides - Data and analytics have become a competitive differentiator and a primary source of value generation for organizations. But, transforming data into a valuable corporate asset is a complex topic that can easily entail the use of dozens of technologies, tools, and environments. AWS provides the broadest and deepest set of managed services for data lakes and analytics, along with the largest partner community to help you build virtually any big data application in the Cloud.Using AWS Data & Analytics, Crossroad Elf has demonstrated success helping customers evaluate and use the tools and best practices for collecting, storing, governing, and analyzing data, at any scale. AWS solution architects and partners, help you build, test, and deploy data & analytics solutions based on AWS best practices for security and high availability, in a few simple steps.

 Data Migration

The biggest challenge for businesses these days is not just about running their operations, but also digitizing their data and storing it optimally. Investing smartly to handle the entire data process is crucial and directly links to thesuccess of the Business. Often, in the modern-day scenario, data is stored on Cloud platforms and more and more companies are leveraging the cloud storage capabilities and moving their data from on-premise servers to the cloud servers. .

The process of moving data from one environment/server to the other is called Data Migration and an essential business process. Of late, many companies are migrating data from their on-premise servers to the cloud platforms because of the advantage the Cloud platforms have over the on-premise data servers. Such projects are on high demand and crucial for the success on any organization considering the way the Data Engineering and Data Management landscape has changed over the years.

Crossroad Elf,a company that is highly accomplished in the field of Data Migration, offers tailor-made solutions to the data migration problems that may be unique to every customer.

Why do businesses need efficient and secure Data Migration services ?

Partial or incorrect data migration process execution can cost businesses a lot ofeffort and money,andalso affect the overall functioning of the business.Comparatively anefficient data migration process execution allows businesses to be worry-freeand focus on other important operational aspects. With the help of Crossroad Elf,businesses no longer need to worry about managing their own data.

Businesses and organizations might need to undertake data migration for a number of reasons:

1. To upgrade databases from old versions

2. To modify database according to new business requirements

3. To merge data due toacquisitions

4. Establish new data warehouses.

4. Refurbish data systems.

4. Revamp business applications

How can Crossroad Elf DSS Pvt.Ltd. help businesses? By designing and deploying tailor made solutions, Crossroad Elf DSS Pvt. Ltd. helps businesses turn their data into assets. Through a step-by-step and structured approach, Crossroad Elfbrings in the appropriate solutions through the usage of right tools aligned to specific projects. Our expert teams are highly capable of building scalable solutions and integrating data with cloud infrastructures. Before migrating the data,a complete audit of the data is undertaken. Following the audit, anyoutstanding issues that needs to be addressed to protect the data is resolved. The Data Integration process is kick started integrating the business rules and other aspects of the solution. The process will strictly follow the best practices and sophisticated project management guidelines. A detailed analysis report is provided post completion of the Data Integration process execution.

The 3 StepProcess ofData Migration to Cloud

1. Determine what elements of the business systems need migration.

2. Migrate data with privacy, security and compliance.

3. Plan, strategize and implement data migration efficiently.

 Google Data Engineering

The cloud is beckoning major businesses. Cloud services are useful to businesses of all sizes—small companies benefit from the low cost, as compared to buying servers. Larger companies gain reliability and productivity, with less cost, since the services run on optimum energy and maintenance..

Managing big data transformations including - extracting, loading, transforming, cleaning, and validating data; designing pipelines and architectures for data processing; maintaining machine learning and statistical models; querying datasets, visualizing query results and creating reports becomes a fun, intuitive and engaging with Google Cloud Platform.

Google has put a lot of work into optimizing its infrastructure and creating a suite of tools and services to manage it effectively. Google Cloud Platform puts this infrastructure and these management resources at your fingertips.

Pros of Google Cloud Platform for DataEngineering :

1. There is more flexibility for a promising startup or business to get free credits for 1–2 years, hence allowing you to leverage GCP.

2. VMs don't have a mess of instance types, just standard but customizable CPU/RAM combinations with any disks and local SSDs attached. Live-migrated, billed to the second, and automatically grouped per cpu/ram increments for billing discounts.

3. Storage is fast with uncapped bandwidth with strongly consistent listings. BigQuery, BigTable and lots of other services have "no-ops" so there's no overhead other than getting your work done.

4. It also offers considerable scale and load balancing – Google knows data centers and fast response time.

 Azure Data Engineering

The Microsoft Azure cloud platform can host virtually any sort of computing task, from simple web applications to full-scale enterprise systems. With many pre-built services for everything from data storage to advanced machine learning, Azure offers all the building blocks for scalable big data analysis systems including ingestion, processing, querying, and migration.

Azure consists of several components: the cloud operating system itself; SQL Azure, which provides database services in the cloud; and .NET services. Azure runs on computers that are physically located in Microsoft data centers.

Why Choose Azure for Data Engineering ? Azure Databricks is a fully managed cloud service that provides powerful ETL, analytics, and machine learning capabilities. A blaringly new feature, it provides first party service which integrates seamlessly with other Azure services such as event hubs and Cosmos DB.

Clusters can be created in a blink of the eye, with capabilities of auto-scale and autoterminate, pay only for run-time based on the number and size of the VM nodes. Unlock a true ETL and Data Warehousing feature with Spark Structured Streaming. This feature creates opportunities for (batch and streaming) ETL and analytics pipelines.

Integrate Data Factory, create and automate ELT pipelines. Provisioned for choosing from a wide range of sources, to name a few SQL Server, AWS S3, Oracle DB and 63 others, you can lift and shift your entire process and use Azure services for a complete and dynamic experience. Query and analyze data with U-SQL and Azure Data Lake services.

Our professionals, with expert knowledge and experience in Azure tools and technologies will provide custom made business solutions to fit perfectly with the customer’s business needs. To know more about the services listed below, Contact Crossroad Elf.

1. Azure cloud services architecture

2. Building a data warehouse in Azure

3. How to choose the right Azure technology for your task

4. Calculating fixed and variable costs

5. Hot and cold path analytics

6. Stream processing with Azure Stream Analytics and Event Hub integration

7. Giving structure to distributed storage

 Data WarehouseDevelopment

As companies consider their ability to manage the asset that is information, the data warehouse platform (and its database management system, or DBMS) is the most important decision point. The platform is the foundational component of the tool selections, the consultancy hires, the architecture, etc. In short, it defines your information culture.

However, in selecting the platform to support the data warehouse, organizations are faced with an exponentially higher number of variations and distinct departures from the traditional online transactional processing (OLTP) database management systems than ever before.

Over time, data warehouse data volumes will continue to soar as organizational history accumulates, syndicated data is collected and new sources with more detailed data are added. Furthermore, the community consuming the data continues to grow, expanding well beyond company boundaries to customers, supply chain partners and even users on the Internet. Companies need to make sure they choose a proven platform not just for the initial known requirements but also one with the ability to scale to future, to-bedetermined requirements.

The strategy for developinga data warehouse canbe brokendown into three steps. 1. Determine business requirements. Not all data warehouses are the same. You need to understand why the requestor needs a data warehouse. You'll need to tie those objectives to what data sources you'll be pulling data from, what subject areas, what business rules you'll follow and what users and/or applications you'll support.

2. Make a timeline. Break up those business objectives mentioned above into 3-month incremental deliverables.

3. Choose architecture, methodology, and technology and compile a staff. You'll need to meet the business objectives as well as build your structures scalable so that you can add-on easily to meet future requirements. This includes securing business involvement with governance and stewardship programs.

 IT Project Management and Services

Every IT project should begin with the end goal in mind — and getting there on time, on budget and on strategy, which requires skillful management. Throughout the entire process, Crossroad Elf project managers are here to help.

Crossroad Elf understands that quality work is expected. Managing time, resources, money, and project scope are the basic elements to every project. Project managers do not simply provide a point of contact for our clients; they are the key to a successful project. Our project management consultants utilize process, discipline, and leadership to break down functional silos, engage stakeholders, and ensure your initiatives are completed within budget, scope, and schedule.

Our goal as projectmanagers is to provide customers with value and knowledge in the following areas.

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Accurately outline the details of Crossroad Elf’s contractual and funding processes. Accurately analyze vendor proposals for proper scope and budgetary items to ensure customers are getting best value. Build accurate cost estimates based on customer requirements. Coordinate between contractors and clients to ensure client satisfaction and comfort. This includes weekly or biweekly meeting coordination, reporting outages of building systems, progress updates, submittals, and change request management. Develop an accurate scope of work outlining agency requirements and needs while ensuring strict adherence to code compliance. Develop projected schedules that accurately reflect the required time for each milestone in the overall requirement. Ensure projects stay on-time and on-budget through oversight and quality control methods. Navigate customers through complex technical, contractual, or regulatory issues.

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Provide creative solutions to help lower costs or meet project objectives. Provide documented inspections on all work being performed. We can manage your project from initiation to completion. Or if you’re active project is missing milestones or is lacking momentum, contact us and we will deploy project management consultants to get your project back on track.

Crossroad Elf is based in HSR Layout, Bangalore and is one among the top data engineering companies in India. We pioneer in providing high quality Information Management and Research Our Engineers are highly qualified and experienced in Informtica, Power BI reporting, Tableau, ETL, OLAP, Cloud data engineering, Data Modelling, Data Migration, Data Modeling, OBIA Consulting, OBIEE Consulting and so on.

For more visit our Website : http://www.crossroadelf.com/