Mazhar LeGhariBuilding for Success: The Foundation forAchievable MDM
Impact of Business Models and Data Commercial                            Retail                   Wealth      Capital   Bu...
Information Architecture ChallengesCommercial                          Retail                    Wealth Capital    Busines...
Traditional Information Management Approach                                         Retail                                ...
Avoid Risks: Facilitate Business & IT Collaboration                                            Retail                     ...
Understand Who Needs What             DEPARTMENTS                                                          Sales          ...
Quantify Value: Leverage Use Cases                                 Industry Driver: Compliance                           S...
Quantify Value: Leverage Use Cases                              Business Function: Marketing                              ...
Quantify Value: Conduct Value Chain Analysis                    High                                                      ...
Establishing Data Governance Framework                           Corporate       P                                        ...
Positioning Value: Focus on Business Drivers                                                             Don’t Boil The Oc...
Avoid Risks: Define Scope                       Customer On-Boarding                                                      ...
Use Case: New Data Challenges in Financial Services     Operational Impact of Regulations                                 ...
Use Case: Consolidation of Customer Data in Telecoms               One of the biggest challenges facing today’s telecommun...
Information Management Landscape with MDM Commercial                            Retail                   Wealth      Capit...
Avoid Risks: Summary                                                                                                      ...
Mazhar LeGharimazhar.leghari@sas.com@LinkedInTwitter - @mleghari   Copyright © 2010, SAS Institute Inc. All rights reserved.
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SAS Forum India: Building for Success: The Foundation for Achievable Master Data Management (MDM)

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An exclusive presentation by Mr. Mazhar Leghari, Business Development Solution Manager, SAS Middle East FZ LLC; on ‘Building for Success: The Foundation for Achievable MDM’. The presentation was made at SAS Forum India 2013.

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SAS Forum India: Building for Success: The Foundation for Achievable Master Data Management (MDM)

  1. 1. Mazhar LeGhariBuilding for Success: The Foundation forAchievable MDM
  2. 2. Impact of Business Models and Data Commercial Retail Wealth Capital Business Residential Data Individual Group Investments Understand Impact of Business Models on Data Loans Mortgages Investments LL Mobile Data Life Medical Pensions On-Boarding, KYC, Risk, Privacy, AML Orders, Billing, Retention, Service Illustration Mgmt, Cases, Underwriting Policy Integration Bus/SOA Integration Bus/SOA Integration Bus/SOA Customer Illustrations Billing Profile Customer contacts Cases Credit Profile Meta Corporate contacts Loyalty Profile Underwriting Portfolio Risk Profiles Reference Loans Survey responses Payment data Policies Financial Terms Claims Transactional Analytical ABC Inc John Smith ABC Inc John Smith ABC Inc John Smith XYZ Inc Jane Smith XYZ Inc Jane Smith XYZ Inc Jane Smith Loans Savings Services Cases Policy Accounts Terms Credit Card Agreements Claims Premium Services Core Credit Call Loans Policy Claims Billing Orders Commissions Products Funds Agency Mktg ODSBanking Card Centre Copyright © 2013 , SAS Institute Inc. All rights reserved.
  3. 3. Information Architecture ChallengesCommercial Retail Wealth Capital Business Residential Data Business Business Silos Lack of Business Involvement Loans Mortgages Investments LL Mobile Data Lack of Data Value Positioning On-Boarding, KYC, Risk, Privacy, AML Orders, Billing, Retention, Service Customer Billing Profile Business/IT Portfolio Credit Profile Process Driven Data Focus Loans Loyalty Profile Financial Terms Survey responses Policies and Procedures Various Data Terms & Meanings ABC Inc John Smith ABC Inc John Smith XYZ Inc Jane Smith XYZ Inc Jane Smith Loans IT Savings Services Accounts Terms Credit Card Agreements Data Fragmentation & Silos Services Poor Data Quality Core Credit Loans Policy Claims Billing OrdersBanking Card Mktg ODS Project Delays Data Integration Challenges ODS DWH Copyright © 2013 , SAS Institute Inc. All rights reserved.
  4. 4. Traditional Information Management Approach Retail Corporate Call Center Integration Bus/SOA Just In Time during Data MigrationApplication Driven Approach Profile Cleanse De-Duplicate CRM CRM Billing Calls Mktg. Profile Cleanse De-Duplicate Loyalty Loans ERP Profile Cleanse Profile Cleanse De-Duplicate EDW De-Duplicate Copyright © 2013 , SAS Institute Inc. All rights reserved.
  5. 5. Avoid Risks: Facilitate Business & IT Collaboration Retail Corporate Call Center Data Value Chain Data Governance Sales Marketing Service Terms Rules Data Semantics Integration Bus/SOA Analyze Evaluate Monitor Data Stewardship Profile Cleanse De-Duplicate CRM CRM Billing Calls Mktg. Profile Cleanse De-Duplicate Loyalty Loans ERP Profile Cleanse Profile Cleanse De-Duplicate EDW De-DuplicateCopyright © 2013 , SAS Institute Inc. All rights reserved.
  6. 6. Understand Who Needs What DEPARTMENTS Sales Marketing Finance Risk and Compliance Strategy Office Field Operations6 Copyright © 2013 , SAS Institute Inc. All rights reserved.
  7. 7. Quantify Value: Leverage Use Cases Industry Driver: Compliance Source: TowerGroup, From High Street to Main Street…Finding business value in compliance spending,11-2010Copyright © 2013 , SAS Institute Inc. All rights reserved.
  8. 8. Quantify Value: Leverage Use Cases Business Function: Marketing Source: TowerGroup, 11-2010Copyright © 2013 , SAS Institute Inc. All rights reserved.
  9. 9. Quantify Value: Conduct Value Chain Analysis High Prepare Web & Deploy Service High business Customer Online Data Customer Recovery value but Profitability Contacts modest data availability or High value quality. Products & to multiple Fraud Data Campaigns Categories business Make the initiatives/ Business Value investment available data Service KPIs Demographics Social Media High ability Transactions Product to deliver, Profitability but modest Churn business Low business value. “Bolt benefits, data Branch G/L Data on” to other unavailable or Profiles Product business too dirty Utilization initiatives Defer Consider Low 1 5 Low Data Availability HighCopyright © 2013 , SAS Institute Inc. All rights reserved.
  10. 10. Establishing Data Governance Framework Corporate P Strategic Priorities: Voice of the Business Drivers: At-Risk Projects: Data Drivers Customer; Compliance Mandates, Quality Improvement; Operational R Mergers & Acquisitions Efficiencies O Business G Data Decision- Framework Guiding Decision R Governance making A Principles Rights Process Charter Bodies M & Policy Data Stewardship Roles & Tasks O V Data E Data Data Metadata Data Data Security & R Management Requirement Architecture Management Quality Administration Access Rights V S Data People: Council, Stakeholders, Meeting Agendas I Governance G Process: Metrics Definition, Workflow, Council By-Laws H Execution Mechanisms: Stewardship Dashboards, T Process Workflow Automation, Data Profiling ToolsCopyright © 2013 , SAS Institute Inc. All rights reserved.
  11. 11. Positioning Value: Focus on Business Drivers Don’t Boil The OceanCopyright © 2013 , SAS Institute Inc. All rights reserved.
  12. 12. Avoid Risks: Define Scope Customer On-Boarding Customer Centricity Corporate Customers Segmentation Core Retail Customers MarketingBanking Counterparties Customer contactsLoans Corporate contacts Customer 360 Portfolio Credit Loans Card Financial Terms Hub Suppliers Policy Insured Exposure Compliance Reports Brokers Compliance Solvency II Applications Claims Citizen Records Broker Book of Business Life Time Value As Is Data Management Approach To Be Data Management Approach Supply Chain, Procurement, Asset Maintenance Location/Site Products Assets Supplier Product Catalogs ERP Asset Data Mastering Supplier On-Boarding/Rating Hub ERP Location/Site Hub Inventory Copyright © 2013 , SAS Institute Inc. All rights reserved.
  13. 13. Use Case: New Data Challenges in Financial Services Operational Impact of Regulations VS. Data Driven Approach Application Driven ApproachSource:2013 , SAS Institute Inc. All rights reserved. Copyright © TowerGroup, From High Street to Main Street…Finding business value in compliance spending,11-2010
  14. 14. Use Case: Consolidation of Customer Data in Telecoms One of the biggest challenges facing today’s telecommunications providers is the ability to sift through the massive volumes of detailed customer and network usage data in order to provide an end-to-end picture of their network, financial and customer behavior. In today’s hyper-competitive marketplace, those with the best data will win. TM Forum: Power of Questioning Everything About Your Business VS. Data Driven Approach Application Driven ApproachCopyright © 2013 , SAS Institute Inc. All rights reserved.
  15. 15. Information Management Landscape with MDM Commercial Retail Wealth Capital Business Residential Data Sales Marketing Service Data Management Landscape with MDM Loans Mortgages Investments LL Mobile Data Customer Care Web Call Centre On-Boarding, KYC, Risk, Privacy, AML Orders, Billing, Retention, Service Loyalty, Profitability, Campaigns Integration Bus/SOA Integration Bus/SOA Integration Bus/SOA Customer Sales revenues Billing Profile Customer contacts Customer segments Credit Profile Meta Corporate contacts Loyalty Profile Promotion history Portfolio Campaign responses Reference Loans Survey responses Payment data Customer value scores Financial Terms Transactional Analytical ABC Inc John Smith ABC Inc John Smith ABC Inc John Smith Hub Hub Hub XYZ Inc Jane Smith XYZ Inc Jane Smith XYZ Inc Jane Smith Loans Savings Services Offers Demographics Accounts Terms Credit Card Agreements Segment Campaigns Services Core Credit Call Loans Policy Claims Billing Orders CRM Products ERP DWH Mktg ODSBanking Card Centre Copyright © 2013 , SAS Institute Inc. All rights reserved.
  16. 16. Avoid Risks: Summary Don’t Boil The Ocean Commercial Retail Wealth Insurance Sales Distribution Service Executive Sponsorship Business Focused Loans Mortgages Policy Orders Suppliers Procurement Data Governance Framework Build Foundation for Data Governance Framework & Master Data Data Stewardship • Define • Design • Evaluate • Discover • Control Scope for Success • Execute Understand Complexity Build Roadmap ABC Inc John Smith ABC Inc John Smith XYZ Inc Jane Smith XYZ Inc Jane Smith Address Data Silos Loans Savings Services Accounts Terms Hub Hub Improve Data Quality Credit Card Agreements Services MDM for Trusted Data Core Credit Loans Loans Claims Policy Policy Banking Card Agency Cases Take the Phased ApproachCopyright © 2013 , SAS Institute Inc. All rights reserved.
  17. 17. Mazhar LeGharimazhar.leghari@sas.com@LinkedInTwitter - @mleghari Copyright © 2010, SAS Institute Inc. All rights reserved.

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