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Advanced Self-Service Master Data Improvement

Learn how to improve master data quality without outside help


Advanced Self-Service Master Data Improvement Advanced Self-Service Master Data Improvement Learn How to: • Improve master data quality without outside help. • Leverage your internal robust processes • Standardize, normalize, attribute, rationalize, and enrich your data using embedded knowledge • Improve material, product, customer, vendor, and services master data with a secure, Saas deployed solution • Leverage AI-Based and LBE-based technologies to optimize SAP NetWeaver® MDM, SAP® SRM, SCM, MM, and SAP PLM

Copyright 2013 Verdantis

Arthur Raguette EVP, Verdantis, Inc.


About our speaker Arthur Raguette, Executive Vice President, Verdantis, Inc. Mr. Raguette focuses on the application of innovative technologies to solve real-world business problems. Prior to Verdantis, Arthur championed hybridized middleware for OLTP, Geospatial interfaces of MOLAP engines for real-world information tracking, high compression interactive media for delivering online education to low bandwidth emerging markets, SaaS based Spend Management solutions, and some of the first cloud based applications that interacted with desktop applications to provide scalability and manageability while leveraging the ease-of-use familiarity with common applications.


Advanced Self-Service Master Data

Best Practices Learned from diverse companies • 100 Million + Master Data Records • Global 1000 • Multinational • Multiple Languages

Copyright 2013 Verdantis


Advanced Self-Service Master Data

Best Practices Learned from diverse companies • Heterogeneous, often Complex Systems • Multiple Industries • Multiple Domains • Different Motivations – SAP Upgrades – SAP Consolidations – M&A Consolidations – Shared Service Centers Copyright 2013 Verdantis


Agenda • Process Separation and Combination • Quality Improvement Steps • Embed and Automate Internal Processes and Expertise • Leverage Artificial Intelligence & Learn-by-Example approaches – Initial / Historical Master Data – Ongoing Data Governance

• Force Multiplier for Team and Platform ROI

Copyright 2013 Verdantis


Process Separation Preparation

GET IT CLEAN Internal teams for master data harmonization

On-Going

KEEP IT CLEAN Governance and SME Team Review for data integrity


Process Separation Cleanse (or Merge) and enrich historical master data SAP / ERP Upgrade, Consolidation, or Merger/Acquisition Historically externally provided as A turn-key service, mostly match and replace based

Preparation

GET IT CLEAN Internal teams for master data harmonization

On-Going

KEEP IT CLEAN Governance and SME Team Review for data integrity


Process Separation Cleanse (or Merge) and enrich historical master data SAP / ERP Upgrade, Consolidation, or Merger/Acquisition Historically externally provided as A turn-key service, mostly match and replace based

Preparation

GET IT CLEAN Internal teams for master data harmonization

On-Going

KEEP IT CLEAN Governance and SME Team Review for data integrity

Control processes to prevent duplication, and ensure on-going data integrity New Requests, Forms, doc routing and partial validation Historically SMEs and multifunctional team members collaborate through e-mail


Process Separation Cleanse (or Merge) and enrich historical master data SAP / ERP Upgrade, Consolidation, or Merger/Acquisition Historically externally provided as A turn-key service, mostly match and replace based

Preparation

On-Going

GET IT CLEAN

KEEP IT CLEAN

Internal teams for master data harmonization

Governance and SME Team Review for data integrity

Team Intensive Cross Functional Domain SMEs Process SMEs Leveraging Experience Internal and External

Common Functionality

Control processes to prevent duplication, and ensure on-going data integrity New Requests, Forms, doc routing and partial validation Historically SMEs and multifunctional team members collaborate through e-mail


Process Combination Cleanse (or Merge) and enrich historical master data SAP / ERP Upgrade, Consolidation, or Merger/Acquisition Historically externally provided as A turn-key service, mostly match and replace based

Preparation

On-Going

GET IT CLEAN

KEEP IT CLEAN

Internal teams for master data harmonization

Governance and SME Team Review for data integrity

Team Intensive Cross Functional Domain SMEs Process SMEs

Control processes to prevent duplication, and ensure on-going data integrity New Requests, Forms, doc routing and partial validation Historically SMEs and multifunctional team members collaborate through e-mail

Leveraging Experience Internal and External

Common Functionality Standardize

Normalize

Attribute

Rationalize

Enrich

Categorization into pre-determined codes

Attribute, value, and measures (Address, UoM, Part Number, etc.)

Extract key data Structures from unstructured data for reporting

Identify or Block Duplication

Append additional data elements

Its not just about data quality – it is business information quality


Agenda • Process Separation and Combination • Quality Improvement Steps • Embed and Automate Internal Processes and Expertise • Leverage Artificial Intelligence & Learn-by-Example and LBE approaches – Initial / Historical Master Data – Ongoing Data Governance

• Force Multiplier for Team and Platform ROI

Copyright 2013 Verdantis


Data Quality Improvement Steps  Data Analysis, and Preparation:  Data Scoping  Data Source / Raw data upload

 Organization  Categorization / Classification to a given taxonomy

 Granularity  Class & Characteristics  Definition / Template Generation and modification Copyright 2013 Verdantis

(1 of 3)


Data Quality Improvement Steps • Data Cleansing and Quality Improvement: • Attribute & Values extraction • Attribute & Value Normalization • De-duplication • Enrichment & Appending Data

Copyright 2013 Verdantis

(2 of 3)


Data Quality Improvement Steps

(3of 3)

• Staging and Loading (Build - > Run) • Output Re-Generation • Loading data to source system • Reporting and Metrics

• Baseline for : • Ongoing Maintenance • Data Governance Copyright 2013 Verdantis


Agenda • Process Separation and Combination • Quality Improvement Steps • Embed and Automate Internal Processes and Expertise • Leverage Artificial Intelligence & Learn-by-Example and LBE approaches – Initial / Historical Master Data – Ongoing Data Governance

• Force Multiplier for Team and Platform ROI \

Copyright 2013 Verdantis


Where we started...

Copyright 2013 Verdantis


Where we are today...

Copyright 2013 Verdantis


Project and Batch Management • Task and Batch Management Improves workflow and Increases throughput – A graphical process builder is used to create a project or batch process/data flow – Individual Processes can be ordered per project or per batch to set the automation linkages and tie in the human team members

Having multiple batches per project allows optimization of team members while managing interim deliverables across a global team

Copyright 2013 Verdantis


User and Workflow Management • User Management to optimize your extended virtual team – Internal and External – User and Subject Matter Experts – Identified by their value-add contribution to the Data Quality Improvement Process – Added to the resource pool and – Configured for access

– A graphical workflow builder is used to create a project or batch workflow – Resources are added to each stage with appropriate roles and responsibilities – Project Management Team can easily track progress and gates/stages throughout the process.

Copyright 2013 Verdantis


Automation of Categorization • Embed Advances in categorization, classification, and clustering – Next Generation of Artificial Intelligence based classification combined with post processing closed-loop feedback

Copyright 2013 Verdantis


Automated Attribute Extraction • Automated context-aware attribute, characteristic, and value identification and extraction – Domain and Taxonomy specific modules for materials and industrial products • Extendable intelligence for Industry and Geography coverage • Extensible modules configurable by customers or by Verdantis

Copyright 2013 Verdantis


Agenda • Process Separation and Combination • Quality Improvement Steps • Embed and Automate Internal Processes and Expertise • Leverage Artificial Intelligence & Learn-by-Example and LBE approaches – Initial / Historical Master Data – Ongoing Data Governance

• Force Multiplier for Team and Platform ROI

Copyright 2013 Verdantis


Verdantis Automated MDM Fully automated solution to cleanse and enrich historical master data Offered historically as A turn-key service Now also offered as Licensed SaaS Platform

GET IT CLEAN

KEEP IT CLEAN

VERDANTI S Automated solution HARMONI for historical master data harmonization ZE

VERDANT IS Automated solution INTEGRIT for real-time on-going data integrity Y

MDM/MDG application to prevent duplication, and ensure on-going data integrity

AI Technology AI-based Software Tools AutoClass AutoSpec AutoNorm AutoCrawl Verdantis Knowledgebase Dynamic content Repository

VERDANTIS AUTOMATED MDM SOLUTION SUITE AutoClass

AutoSpec

AutoNorm

AutoCrawl

Classification into pre-determined codes

Attribute extraction & de-duplication software for Material master

Normalization & validation of MFG, MPN and UOM

Intelligent web spidering tool for Data harmonization

Artificial Intelligence forms the bedrock of Verdantis’ automated MDM solution suite


Verdantis Automated MDM GET IT CLEAN

VERDANTIS HARMONIZE Automated solution

Fully automated solution to cleanse and enrich historical master data

for historical master data harmonization AI Technology AI-based Software Tools AutoClass AutoSpec AutoNorm AutoCrawl

Offered historically as A turn-key service Now also offered as Licensed SaaS Platform

Verdantis Knowledgebase Dynamic content Repository

VERDANTIS AUTOMATED MDM SOLUTION SUITE AutoClass

AutoSpec

AutoNorm

AutoCrawl

Classification into pre-determined codes

Attribute extraction & de-duplication software for Material master

Normalization & validation of MFG, MPN and UOM

Intelligent web spidering tool for Data harmonization

Artificial Intelligence forms the bedrock of Verdantis’ automated MDM solution suite


What is Harmonize?

The encapsulation of 300 FTE years of data harmonization best practices and expertise accumulated across industries, systems and languages

Copyright 2013 Verdantis


Demonstration Time • Harmonize Demo


Verdantis Automated MDM KEEP IT CLEAN

VERDANTIS INTEGRITY Automated solution for real-time on-going data integrity

MDM/MDG application to prevent duplication, and ensure on-going data integrity

AI Technology AI-based Software Tools AutoClass AutoSpec AutoNorm AutoCrawl Verdantis Knowledgebase Dynamic content Repository

VERDANTIS AUTOMATED MDM SOLUTION SUITE AutoClass

AutoSpec

AutoNorm

AutoCrawl

Classification into pre-determined codes

Attribute extraction & de-duplication software for Material master

Normalization & validation of MFG, MPN and UOM

Intelligent web spidering tool for Data harmonization

Artificial Intelligence forms the bedrock of Verdantis’ automated MDM solution suite


What is Integrity?

Integrity is a data governance solution that supports cross functional collaboration, approval routing, and real-time master data governance and stewardship. Copyright 2013 Verdantis


Verdantis Integrity Framework EASY/ADVANCED SEARCH for Existing materials in the inventory Material information such as part name, part description, stocking code, etc.

ENSURE COMPLIANCE Track inventory levels Single material master repository

SINGLE REPOSITORY FOR MANAGING MATERIAL DATA

Plants , Manufacturing facilities and Global Locations

Role Based Enrichment Normalized and de-duplicated material attributes Store Material Information

Part number

Part Description

Stocking code

UNSPSC Code

Create/Edit

Search & retrieve By.. …..Plant …..Division …..Keyword …..etc. HTS/ECCN Classification

Enable comprehensive workflow process for material data creation/ modification

Enable collaboration and material data availability across locations and divisions

Approve/ Reject

Verdantis Material Integrity


Demonstration Time • Verdantis Integrity Demo


Agenda • Process Separation and Combination • Quality Improvement Steps • Embed and Automate Internal Processes and Expertise • Leverage Artificial Intelligence & Learn-by-Example and LBE approaches – Initial / Historical Master Data – Ongoing Data Governance

• Force Multiplier for Team and Platform ROI

Copyright 2013 Verdantis


Force Multipliers • Increase productivity of Data Quality Professionals individually or in Teams • Manage Tasks and Projects to Improve workflow and Increase throughput • Faster project implementations with domain-specific data templates • Embed Advances in categorization, classification, and clustering • Automated context-aware attribute, characteristic, and value identification and extraction • Delivers both greater Volume and Quality than manual processes alone.

Copyright 2013 Verdantis


Internal Team x 10 Organizations who – Similar to our customers today (ERP/MRP/EAM and Transformation Projects) – Have the internal resources to do the work – Also those – with Non-Standard Domains with specific domain requirements, or – Target continuous M&A or Joint Ventures

– Force Multiplier of x 10 through clustering, fuzzy logic matching, and LBE – Automated Standardization, Normalization and Element Extraction lets one person run Thousands of records per day. Copyright 2013 Verdantis


Master Data Solutions

The name Verdantis, comes from the Latin word for truth – veritas, as well as the word verdant – meaning abundant and sustainable. Verdantis, Inc. has been delivering Automated Master Data Quality Improvement and Governance Solutions or more than a decade to Global 1000 Customers across industries, domains and the globe. www.verdantis.com info@Verdantis.com Toll Free +1 866 987 4463


Master Data Solutions

Watch this entire webinar as hosted by SAP Insider. Click here www.verdantis.com info@Verdantis.com Toll Free +1 866 987 4463

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