SAP Insider webcast: Advanced Self-Service Master Data Improvement

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Advanced Self-Service Master Data Improvement

• Learn how to improve master data quality without
  outside help

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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.
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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.

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Advanced Self-Service Master Data

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

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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
• MA Consolidations
• Shared Service Centers

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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

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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
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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
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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
Common Functionality
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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
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
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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

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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

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Data Quality Improvement Steps (2 of 3)

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

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Data Quality Improvement Steps (3of 3)

• Staging and Loading (Build - gt Run)
• Output Re-Generation
• Loading data to source system
• Reporting and Metrics
• Baseline for
• Ongoing Maintenance
• Data Governance

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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 \

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Where we started...
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Where we are today...
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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

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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.

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Automation of Categorization

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

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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

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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

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Verdantis Automated MDM
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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
VERDANTIS AUTOMATED MDM SOLUTION SUITE
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What is Harmonize?

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

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Demonstration Time

• Harmonize Demo

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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
VERDANTIS AUTOMATED MDM SOLUTION SUITE
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What is Integrity?

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

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Verdantis Integrity Framework
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Demonstration Time

• Verdantis Integrity Demo

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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

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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.

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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 MA 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.

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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_at_Verdantis.com
• Toll Free 1 866 987 4463

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Master Data Solutions
Watch this entire webinar as hosted by SAP
Insider. Click here

• www.verdantis.com
• info_at_Verdantis.com
• Toll Free 1 866 987 4463