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SAP Insider webcast: Advanced Self-Service Master Data Impro

Learn how to improve master data quality without outside help. Companies with robust processes can manage this challenge themselves with the right combination of tools and embedded in-house knowledge. Also,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

Verdantis
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SAP Insider webcast: Advanced Self-Service Master Data Impro

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  1. Advanced Self-Service Master Data Improvement Learn how to improve master data quality without outside help

  2. 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 Arthur Raguette EVP, Verdantis, Inc. Copyright 2013 Verdantis Inc.

  3. 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.

  4. Advanced Self-Service Master Data Best Practices Learned from diverse companies • 100 Million + Master Data Records • Global 1000 • Multinational • Multiple Languages Copyright 2013 Verdantis Inc.

  5. 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 Inc.

  6. 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 Inc.

  7. Process Separation Preparation On-Going GET IT CLEAN KEEP IT CLEAN Governance and SME Team Review for data integrity Internal teams for master data harmonization

  8. 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 Governance and SME Team Review for data integrity Internal teams for master data harmonization

  9. 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 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 Preparation On-Going GET IT CLEAN KEEP IT CLEAN Governance and SME Team Review for data integrity Internal teams for master data harmonization

  10. 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 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 Preparation On-Going GET IT CLEAN KEEP IT CLEAN Governance and SME Team Review for data integrity Internal teams for master data harmonization Team Intensive Cross Functional Domain SMEs Process SMEs Leveraging Experience Internal and External Common Functionality

  11. 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 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 Preparation On-Going GET IT CLEAN KEEP IT CLEAN Governance and SME Team Review for data integrity Internal teams for master data harmonization Team Intensive Cross Functional Domain SMEs Process SMEs Leveraging Experience Internal and External Common Functionality Standardize Normalize Attribute Rationalize Enrich Identify or Block Duplication Categorization into pre-determined codes Attribute, value, and measures (Address, UoM, Part Number, etc.) Extract key data Structures from unstructured data for reporting Append additional data elements Its not just about data quality – it is business information quality

  12. 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 Inc.

  13. Data Quality Improvement Steps (1 of 3) • 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 Inc.

  14. Data Quality Improvement Steps (2 of 3) • Data Cleansing and Quality Improvement: • Attribute & Values extraction • Attribute & Value Normalization • De-duplication • Enrichment & Appending Data Copyright 2013 Verdantis Inc.

  15. 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 Inc.

  16. 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 Inc.

  17. Where we started... Copyright 2013 Verdantis Inc.

  18. Where we are today... Copyright 2013 Verdantis Inc.

  19. Project and Batch Management • Task and Batch Management Improvesworkflow and Increasesthroughput • 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 Inc.

  20. 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 Inc.

  21. Automation of Categorization • EmbedAdvancesin categorization, classification, and clustering • Next Generation of Artificial Intelligence based classification combined with post processing closed-loop feedback Copyright 2013 Verdantis Inc.

  22. Automated Attribute Extraction • Automatedcontext-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 Inc.

  23. 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 Inc.

  24. Verdantis Automated MDM GET IT CLEAN KEEP IT CLEAN Fully automated solution to cleanse and enrich historical master data Offered historically as A turn-key service Now also offered as Licensed SaaS Platform VERDANTIS INTEGRITY VERDANTIS HARMONIZE MDM/MDG application to prevent duplication, and ensure on-going data integrity Automated solution for real-time on-going data integrity Automated solution for historical master data harmonization AI Technology AI-based Software Tools AutoClassAutoSpec AutoNormAutoCrawl Verdantis Knowledgebase Dynamic content Repository VERDANTIS AUTOMATED MDM SOLUTION SUITE AutoClass AutoSpec AutoNorm AutoCrawl Intelligent web spideringtool for Data harmonization Classification into pre-determined codes Attribute extraction & de-duplication software for Material master Normalization & validation of MFG, MPN and UOM Artificial Intelligence forms the bedrock of Verdantis’ automated MDM solution suite

  25. Verdantis Automated MDM GET IT CLEAN VERDANTIS HARMONIZE Fully automated solution to cleanse and enrich historical master data Offered historically as A turn-key service Now also offered as Licensed SaaS Platform Automated solution for historical master data harmonization AI Technology AI-based Software Tools AutoClassAutoSpec AutoNormAutoCrawl Verdantis Knowledgebase Dynamic content Repository VERDANTIS AUTOMATED MDM SOLUTION SUITE AutoClass AutoSpec AutoNorm AutoCrawl Intelligent web spideringtool for Data harmonization Classification into pre-determined codes Attribute extraction & de-duplication software for Material master Normalization & validation of MFG, MPN and UOM Artificial Intelligence forms the bedrock of Verdantis’ automated MDM solution suite

  26. What is Harmonize? The encapsulation of 300 FTE years of data harmonization best practices and expertise accumulated across industries, systemsand languages Copyright 2013 Verdantis Inc.

  27. Demonstration Time • Harmonize Demo

  28. Verdantis Automated MDM KEEP IT CLEAN VERDANTIS INTEGRITY MDM/MDG application to prevent duplication, and ensure on-going data integrity Automated solution for real-time on-going data integrity AI Technology AI-based Software Tools AutoClassAutoSpec AutoNormAutoCrawl Verdantis Knowledgebase Dynamic content Repository VERDANTIS AUTOMATED MDM SOLUTION SUITE AutoClass AutoSpec AutoNorm AutoCrawl Intelligent web spideringtool for Data harmonization Classification into pre-determined codes Attribute extraction & de-duplication software for Material master Normalization & validation of MFG, MPN and UOM Artificial Intelligence forms the bedrock of Verdantis’ automated MDM solution suite

  29. 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 Inc.

  30. 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 Plants , Manufacturing facilities and Global Locations Track inventory levels Single material master repository SINGLE REPOSITORY FOR MANAGING MATERIAL DATA Create/Edit Enable collaboration and material data availability across locations and divisions Role Based Enrichment Normalized and de-duplicatedmaterial attributes Enable comprehensive workflow process for material data creation/ modification Store Material Information Search & retrieve By.. …..Plant …..Division …..Keyword …..etc. Part Des-cription Approve/ Reject Part number Verdantis Material Integrity Stocking code UNSPSC Code HTS/ECCN Classification

  31. Demonstration Time • Verdantis Integrity Demo

  32. 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 Inc.

  33. Force Multipliers • Increase productivity of Data Quality Professionals individually or in Teams • Manage Tasks and Projects to Improveworkflow and Increasethroughput • Fasterproject implementations with domain-specific data templates • EmbedAdvancesin categorization, classification, and clustering • Automated context-aware attribute, characteristic, and value identification and extraction • Delivers both greater VolumeandQuality than manual processes alone. Copyright 2013 Verdantis Inc.

  34. 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 Inc.

  35. Master Data Solutions www.verdantis.com info@Verdantis.com Toll Free +1 866 987 4463 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.

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

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