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Information Governance: Reducing Costs and Increasing Customer Satisfaction


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  • Traditionally companies have looked at their business model in terms of people, processes and technology and have implemented technology systems that are application-centric and/or process-centric. In this traditional approach, information is often thought of as an afterthought and is “bolted on” to the ERP application. This traditional approach has resulted in the information assets of the company being in a state of being disjointed and fragmented, hindering the company’s ability to take advantage of its information assets. As companies are started to take advantage of their information assets for the purposes of competitive advantage, increasingly there is a need to have an information-centric approach. In the information-centric approach, information is at the core of people, processes and technology.
  • Transcript

    • 1. Information Governance: Reducing Costs and Increasing Customer Satisfaction
      Chris Cingrani
      SAP EIM Practice LeadCapgemini
    • 2.
      • Why Does Information Governance Matter?
      • 3. How can an organization reduce costs through ongoing Information Governance?
      • 4. How can an organization increase customer satisfaction through ongoing Information Governance?
      Learning Points
    • 5. Best Practices
      Overview of the SAP Best Practices for Information Governance v1.0
      Overview of the Capgemini Best Practices for Information Governance
    • 6. Agenda
    • 7. What We Hear From Our Clients Regarding Data Issues
      “I have a single instance of SAP, do I need MDM?”
      “I don’t have a single view of key things like customer, vendor, product, stock.”
      “I am convinced that I need an MDM solution - should I ‘build’ or ‘buy’ it.”
      “Who really owns the data? Is it IT or the Business? My Business counterparts want me (IT) to clean up their data!”
      What we hear in the market
      “How do I get my business counterparts to take ownership of their data?”
      “I now have more and more data about consumers, citizens, complaints, sales transactions, web/social activities – if we can harness this we would really be really good.”
    • 8. Why Does Data Governance Matter?
      Joining of Wholes
      • Organizations increasingly relyon their data for reporting and decision making
      • 9. Data is an Organizational Asset, which is increasingly becoming a Business Enabler rather than merely being stored for administrative purposes
      • 10. Information is a Product built up of pieces of data that are collected from within as well as outside organizational boundaries
      • 11. Organizations need to develop a Vision on Data Governance in order to have good control of their organizational information
      • 12. A Governance Strategy is needed to create awareness, get management support and provide tools to execute
      Formation of a whole
      Connection of Parts
      Gathering of Parts
    • 13. The Impact of Information Initiatives without Data Governance
      MDM without Data Governance
      Leads to un-clear / un-unified / un-approved corporate definitions
      Leads to unbalanced data quality requirements
      Leads to lot of ‘transformations’ between environments due to a missing single definitions
      BI without Data Governance
      Leads to extra effort in alignment of data structures
      Leads to publications to unauthorized people
      Leads to publications of wrong information
      Data Distribution and Sharing (cloud) without Data Governance
      Leads to unauthorized distribution of data
      Leads to ‘spreading’ of incorrect data throughout the organization or beyond the organizational limits
      Data Governance is about setting principles on how data shouldbe used and how it is used to support operational growth andhow to maintain that in the future
    • 14. What Is Information Governance?
      Information GovernanceA discipline that includes people, processes, policies, and metrics for the oversight of enterprise information to improve the business value
      High Value Information:
      Optimized Business Processes
      Smarter Business Analytics
      Timely Mergers and Acquisitions
      Compliance with Laws and Regulations
      Policies & Standards
    • 15. What Aspects of Information Can Be Governed?
      Begin with the business goal that is enabled most by quality information.
      Information ownership and accountability
      Information access (who, when, where, what)
      Data handling (creation, updating, deleting)
      Information storing (archiving, security)
      Data quality levels
      Reporting (who, when, what)
      Policies and Standards
      Data definitions
      Allowable values
      Information architecture
    • 16. Data Governance Overview – 3 Simple Constructs
      Roles: What roles and responsibilities are needed for, or impacted by data governance?
      • List legislation processes (example: Define Scope, Create Common Definition, Define Meta-data)
      • 17. For each process, create process flows, list activities and participating roles.
      • List legislation processes (example: Review Deviation Request, Review Issues, Publish Compliance Reports, etc.)
      • 18. For each process, create process flows, list activities and participating roles.
      • List legislation processes (example: Assess Compliance, Initiate Remediation Projects, Review Projects, etc.)
      • 19. For each process, create process flows, list activities and participating roles.
      Tools: What tools are needed to support processes, store documents, etc.
      Data Area
      • Which data is in scope (Part, Customer, etc.) and at what level (entity, attribute, etc.)?
      Architecture Area
      • Which aspect of architecture (data-model, integration, data-warehouse, etc.)?
      Focus Area
      • What is aim (data quality, common definition, redundancy, consolidation, etc.)?
      • Which region or process area?
    • Agenda
    • 20. Traditional Approach
      Information Centric Approach
      Application & Process centric – information is often an after-thought
      Information-centric – information across people, process & technology
      Information is at the Core of Capgemini’s SAP ERP Approach
    • 21. Reducing Costs: Improved Data Management
      Rising costs associated with managing data
      Lack of policies and processes in place to manage the data.
      Clients often discuss issues around multiple versions of the truth.
      Multiple versions of the truth exist may exist from a duplicate data standpoint, as well as in inconsistent business rules.
      Lack of basic Information Governance
      Lack of a centralized business glossary (or data dictionary) that is readily available to document the single version of the truth within a given data domain.
      Lack of an approval process.
      How to handle changes to the data definition or business rules?
      Inability to understand the impact of a change.
      What other implications the change will have (to data, systems, processes, etc.)
    • 22. Better Decisions: Leveraging Your Data
      Multiple Versions of the Truth Exist
      Need a process to address the issues associated with multiple versions of the truth (both with data itself and the definitions of data.
      Traceability - process and tools to trace back to our business glossary how data is defined and ultimately who is responsible for the data (both from a business and IT perspective).
      Customer Satisfaction – Internal and External Customers
      Internal Customer
      Increase satisfaction due to having clear visibility into the data and data definitions
      External Customer
      Increased satisfaction may be as basic as not having multiple versions of my account when I call in to place an order
    • 23. Reducing Costs: Benefits of Information Governance
      Redundant databases
      Redundant data tools and BI reporting systems
      Manual, duplicate data quality checking
      Duplicate external data vendors providers
      Business process inefficiencies
      © MCV LLC
    • 24. The Business Case for Data Governance
      The main benefits of being in control of your data:
      Increased Revenue
      • Revenue growth increasingly depends on the creation of innovative products that are constructed wholly from information. Effective data management integrates data from multiple sources, multiple markets and multiple asset classes. With accurate, timely data, professionals can craft products that respond to urgent market demands - and anticipate emerging opportunities.
      Reduce Time to Market
      • One of the biggest barriers to new product development is inadequate access to actual data. By integrating multiple data streams into a single view that can be monitored and managed, high quality data management facilitates effective financial modeling and efficient decision making.
      Increase Productivity
      • Business professionals must be at liberty to focus on what they do best – manage assets, products and portfolios. The right data management tools deliver the information your professionals want when they want it – and allow them to make changes in sources, field assignments and reports without the time-consuming intervention of developers or IT technicians.
    • Business Process Benefits to Information
      Demand Identification
      Demand Generation
      Lead Management
      Cross-/Up-sell Service
      Lead Management
      Opportunity Creation
      Data Business processes
      Yearly Billing – DSO
      360-Degree View of the Customer
      Core Data Processes – CREATE, UPDATE, DELETE
      Enterprise Information Management – CRM Technology Improvements, Data Archiving
      Core Data Processes
    • 25. Capgemini’s Data Centric Framework:Data Governance and Stewardship
      Business value and value longevity are driven from business decisions that are traceable back to reliable facts generated from repeatable processes. The dimensions of Data are:
      Data Governance Activities
      Metrics – meaningful for improvements to the processes, define objectives for the technology and reward the organization for adherence.
      Processes – to provide consistency, understanding, transparency and accountability.
      Technology – to help enforce standards, policies and delivery of information at the time and place of need
      Operations – that are predictable with controls for quality and drivers for operational decisions
      Organization – to execute the processes with the technology for business value realization and operational improvements.
      Governance coupled with tools are the key to creating and delivering a healthy data lifecycle.
    • 26. If Collaboration is Key – What Should My Organization Be Doing?
      Traditional Approach
      Information is shared via email or spreadsheets
      Lack of an audit and decision trail
      No change management
      Unable to track progress of the data conversion/definitions
      Processes are available, but unable to manage this process
      A New Approach – Best Practices for Information Governance
    • 27. Agenda
    • 28. Best Practices for Information Governance
      Key Requirements for an Information Governance Solution
      Collaborative Environment
      Ability to provide role and project based security
      Project Management capabilities
      Approval process for data objects and data definitions
    • 29. SAP Best Practices for Data Migration Architecture
      Target Environment
      Data Staging and Test Environment
      Legacy Data Environment
      Performance Analysis
      Dashboards and Business Reporting
      Flat Files/
      Staging Area
      Pre-Built load routines for SAP Objects
      Data Services Platform
      Name Parsing
      Business Validation Rules
      Extract & Profile
      Address Parsing & Correction
      Automatic SAP Config Validation
      Validate & Load
      Material/Product Parsing
      Data into SAP structure
      Transparency, Communication and Governance
      SAP Business One
    • 30. SAP Best Practices for Information Governance in Data Migration v1.0 (PILOT)
      Key Features:
      Information Governance
      Data Dictionary provide a collaborative environment through which project teams and business users can document and govern key metadata associated with their business data.
      Data Conversion Inventory for Data Migration allows for the cataloguing of data objects that will be converted into your SAP environment.
      Best Practices Repository for Data Migration, Data Quality and MDM provides a variety of best practices documents, links, that are aligned with SAP’s ASAP Methodology.
      Extend the Best Practices for your Organization provides the ability to add additional business areas, source and target system information, and other key data metrics that will allow you to monitor and measure Information Governance in your SAP and non-SAP systems.
    • 31. SAP Best Practices for Information Governance in Data Migration v1.0 (PILOT)
      Key Features:
      Project Management
      All information management initiatives require a good project management framework in order to ensure successful delivery. In order to support projects, the following core capabilities are included:
      CRM, ERP, HCM, Information Governance and Data Quality Project Plans
      Assign Planned & Non-Planned Tasks to Users
      Support the Register of Issues & Risks
      Defect Tracking
      Status Reporting
    • 32. Agenda
    • 33. SAP On-Demand Java-Based Application Development PlatformRapidly Develop Applications in the Cloud
      • Intuitive browser-based form builder accelerates time-to-market while providing broad extensibility
      • 34. Configurable access controls and authentication schemes guarantee the security of customer data
      • 35. Powerful SLE management tools enable remote administration of accounts, apps and members
      • 36. Standards-based APIs facilitate rapid integration with SAP OnPremise and 3rd party systems
      • 37. Deployment on Amazon’s EC2 infrastructure ensures high availability and fault-tolerance
    • SAP On-Demand Java-Based Application Development Platform Easily Deploy Applications on Amazon’s Highly-Available, Fault-Tolerant EC2 Service
      • Designed to provide 99.999999999% durability and 99.99% availability of objects over a given year*
      • 38. Auto scaling and elastic load balancing to ensure high system availability
      • 39. Multiple “Availability Zones” within each region provide fault tolerance
      • 40. Regional operating centers in US, EU and AP comply with data privacy laws
      • 41. Daily, weekly and monthly archiving for rapid disaster recovery
      • 42. Real-time monitoring and automated alerting by SAP Operations Team on a 24 x 7 basis
      SAP On-Premise
      SAP On-Device
      3rd PartySystems
      S3 Bucket
      SSL TerminationLoad Balancer
      S3 Bucket
      Amazon EBS
      S3 Bucket
      AppServer Cluster
      * Service Level Agreement stipulates 99.95% availability in each EC2 region.
    • 43. Agenda
    • 44. Client Case Study
    • 45. Client Case Study
    • 46. Agenda
    • 47. Information Governance is an ongoing process that involves both business and IT parts of the organization
      Benefits of Information Governance often realized are reduced costs and increased customer satisfaction
      The SAP Best Practices for Information Governance v1.0 provides a collaborative environment and project management capabilities that are often lacking for Information Governance
      Key Learnings
    • 48. Questions?
    • 49. Thank you!