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Data Governance It’s a cultural shift 1 Nancy Northrup PMP, SSLBB, CIPP September 2011
Overview CIT Group Building the data culture What is it? What are the maturity components Change Management and the WIIFM  Communication Maturity model Getting the word out Communicating change Change Management check list Easy to recommend, hard to resolve Data laws 2
CIT Group Overview Founded in 1908, CIT founder Henry Ittelson set up shop in St. Louis, Missouri to fulfill a vision – to provide comprehensive financing solutions and services to individuals and businesses. Today CIT Group continues its mission as a bank holding company. Greater than $35 billion in finance and leasing assets Supporting financing and leasing capital to over 1 million small businesses and middle market clients and their customers in over 30 industries CIT retains leadership positions in small business, middle market lending, factoring, retail finance, aerospace, equipment, and rail leasing, and global vendor  finance Global Headquarters are in NYC and Corporate Headquarters are in Livingston NJ There are approximately 3,800 employees 3
What CIT Does Products Services Asset based loans Secured lines of credit Enterprise value and cash flow loans Leases:  operating, finance and leveraged Factoring services Vendor finance Import and export financing Small business loans Acquisition and expansion financing Letters of Credit / trade acceptances Debtor-in-possession / turnaround financing Financial risk management Asset management and servicing Debt restructuring Credit protection Account receivables collection Debt underwriting and syndication Capital markets Insurance services 4
What is Data Culture? 5
Data Culture The degree to which the financial entity understands and accepts data management as a critical and stand-alone component of operations EDM Council    http://www.edmcouncil.org/default.aspx How do I know if  I have a Data Culture? 6
Components of a Data Culture Alignment There is a mechanism to ensure that all relevant stakeholders are in agreement with the principles and objectives of the data management program 7 ,[object Object]
Defines the executive sponsor of the data management program and determines where the program resides in the corporate hierarchy
Organizational Model
Determines the component ownership and stewardship structure as well as the reporting relationships associated with the data management program,[object Object]
Data practices exist but are local
Quality
Practices
Storage
No senior management buy-in
Quality is based on short term objectives emphasizing error repair (manual reconciliation)
Data failures occur on a cross-functional basis.
Oversight
Requirements
Naming conventions and definitionsNo senior management buy-in
Maturity Model Level 3 - Defined IT supports the business analysts who control the data process  Data is recognized as an enterprise asset Controls are limited  Data Governance emerges as an organization Data is part of the business / IT conversation 9 ,[object Object]
Data repair shifts to error prevention
Data definitions and business rules are immature
A centralized platform for managing data is available at the group level and feeds analytical data martsThe IT goal is to automate business processes
Maturity Model Level 4 – Managed according to agreed upon metrics Data is accepted as a critical enterprise assets CEO and executive level strategy includes enterprise data management  Statistical process control is intertwined throughout data collection and analysis Data Stewardship is a core competency 10 Data quality and integration tools are standardized A centralized metadata repository exists and all changes are synchronized.  ,[object Object]
Identify deviations from standards
Support a Business Glossary or Data Dictionary and usage
Enterprise-wide data platform feeds all reference data repositories
Enterprise-wide data quality and integration tools are standardized,[object Object]
Maturity Model Level 5 – Optimized – Continuous Improvement Managed process enhancements utilize feedback and quantitative understanding of the causes of data inconsistencies Innovation is high Enterprise wide business intelligence Core values are aligned and process improvement is everyone’s goal Flexible processes responds to evolving business objectives.  Data is a key resource for process improvement 12 ,[object Object]
Data quality monitoring and correction is fully automated and adaptive
 Improvements are implemented based on their expected contribution
Duplication is controlled and justified
The dynamic platform feeds all master data storesData driven governance
Data Centric Culture through Shared Data Goals 13 Shared goals drive data culture and alignment
Ensure Data Centric Culture…                                   through Shared Goals Create  strategic data management goals for senior management Continuous focus on data and information management Data is incorporated into the way we conduct business A focus on data becomes part of the daily work Goals are tickle down Management levels create tactical goals aligned to the common good Staff level create specific goals aligned to the tactics  Transformational thinking required to drive the culture Improving the quality and management of data is everyone’s responsibility. Shared goals drive the data culture Goals drive our behavior What is measured and tracked is achieved 14
Change Management  15
Key Components ,[object Object]
How are you going to communicate the expectations?
How much can this organization absorb now?
People / Process  / Technology need to be balanced.

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Data Governance And Culture

  • 1. Data Governance It’s a cultural shift 1 Nancy Northrup PMP, SSLBB, CIPP September 2011
  • 2. Overview CIT Group Building the data culture What is it? What are the maturity components Change Management and the WIIFM Communication Maturity model Getting the word out Communicating change Change Management check list Easy to recommend, hard to resolve Data laws 2
  • 3. CIT Group Overview Founded in 1908, CIT founder Henry Ittelson set up shop in St. Louis, Missouri to fulfill a vision – to provide comprehensive financing solutions and services to individuals and businesses. Today CIT Group continues its mission as a bank holding company. Greater than $35 billion in finance and leasing assets Supporting financing and leasing capital to over 1 million small businesses and middle market clients and their customers in over 30 industries CIT retains leadership positions in small business, middle market lending, factoring, retail finance, aerospace, equipment, and rail leasing, and global vendor finance Global Headquarters are in NYC and Corporate Headquarters are in Livingston NJ There are approximately 3,800 employees 3
  • 4. What CIT Does Products Services Asset based loans Secured lines of credit Enterprise value and cash flow loans Leases: operating, finance and leveraged Factoring services Vendor finance Import and export financing Small business loans Acquisition and expansion financing Letters of Credit / trade acceptances Debtor-in-possession / turnaround financing Financial risk management Asset management and servicing Debt restructuring Credit protection Account receivables collection Debt underwriting and syndication Capital markets Insurance services 4
  • 5. What is Data Culture? 5
  • 6. Data Culture The degree to which the financial entity understands and accepts data management as a critical and stand-alone component of operations EDM Council http://www.edmcouncil.org/default.aspx How do I know if I have a Data Culture? 6
  • 7.
  • 8. Defines the executive sponsor of the data management program and determines where the program resides in the corporate hierarchy
  • 10.
  • 11. Data practices exist but are local
  • 16. Quality is based on short term objectives emphasizing error repair (manual reconciliation)
  • 17. Data failures occur on a cross-functional basis.
  • 20. Naming conventions and definitionsNo senior management buy-in
  • 21.
  • 22. Data repair shifts to error prevention
  • 23. Data definitions and business rules are immature
  • 24. A centralized platform for managing data is available at the group level and feeds analytical data martsThe IT goal is to automate business processes
  • 25.
  • 27. Support a Business Glossary or Data Dictionary and usage
  • 28. Enterprise-wide data platform feeds all reference data repositories
  • 29.
  • 30.
  • 31. Data quality monitoring and correction is fully automated and adaptive
  • 32. Improvements are implemented based on their expected contribution
  • 34. The dynamic platform feeds all master data storesData driven governance
  • 35. Data Centric Culture through Shared Data Goals 13 Shared goals drive data culture and alignment
  • 36. Ensure Data Centric Culture… through Shared Goals Create strategic data management goals for senior management Continuous focus on data and information management Data is incorporated into the way we conduct business A focus on data becomes part of the daily work Goals are tickle down Management levels create tactical goals aligned to the common good Staff level create specific goals aligned to the tactics Transformational thinking required to drive the culture Improving the quality and management of data is everyone’s responsibility. Shared goals drive the data culture Goals drive our behavior What is measured and tracked is achieved 14
  • 38.
  • 39. How are you going to communicate the expectations?
  • 40. How much can this organization absorb now?
  • 41. People / Process / Technology need to be balanced.
  • 42. Focus on a comprehensive effort, not one-offs.
  • 43. Build commitment and trust through good planning and quick hits.
  • 44. Ensure a balanced solution (50% tools/50% consequences).
  • 45. Obtain adequate sponsorship for resources and barrier management.
  • 46. Use of a structured change model such to frame the change effort and guide. actions.16
  • 47. What are the Roles? Champion Executive leader with cross organizational influence Able to obtain funding Able to apply positive and negative consequences Customer Individual or group who will use the final product/service Defines the maximum scope of work Advocate High level executive Communicates with the sponsor regularly and informally Target Those who must change for the change to be successful Change Agent The program / project leader who helps make the change happen Influencer Individuals with informal power and influence 17
  • 48.
  • 49.
  • 50. Rigorous Project Management Effective change management requires effective project management. Rigorous scope analysis Resources analysis Be realistic about your timetable Triple constraint – each effects the other You cannot always just add resources Continually reassess your options Be forthright above all 20
  • 51.
  • 52. Quick hits for Commitment
  • 53. Process Control Metrics
  • 54. Functional Metrics
  • 55. Predictive ability SPC (Statistical Process Control)
  • 56.
  • 60.
  • 65.
  • 66. What Customer Data can Do for You! Multiple uses for cross-corporate view
  • 67.
  • 71. Communication There is never enough
  • 72. What is communication? Customer understanding Supplier understanding Organizational learning Knowledge sharing Liaison 25 Respect
  • 73. Communication Maturity Managed State Prevent Abnormalities (Error-Proof) Informal Pervasive IT / Business adaptive Level 5 Stop Abnormalities Level 4 Business and IT are unified IT is an integral part of business strategy Warn About Abnormalities (Build in alarms) Metrics Management Level 3 Good understanding, natural IT is an asset and process driver Conflict is seen as creative Build Standards into the Workplace Level 2 Limited business IT understanding IT becomes a process enabler Share Information Business and IT lack understanding IT is a cost of doing business Level 1 Communication Begins with Information Sharing
  • 74. Assessing Maturity Strengths and weaknesses SWOT analysis Identify areas of disagreement Map the implications Define a plan to improve the maturity level Focus on alignment 27
  • 75. Vehicles of Communication Data Awareness Training What is data? Why do I care about it? How much of it is there? How does data hurt? What tools are we going to use? What is going to happen to MY job? Article on the company intranet Town Halls Shared goals 28
  • 76. Explain why data matters 29
  • 78. Data is massive Information consists of many pieces of data. Customer name Product Contract Address Probability of default 31 Data multiplies every data and decrements every day. Data is massive and growing exponentially.
  • 79. How do I communicate the change? What is the problem I am trying to solve? What is the benefit if the change is made? What is the cost of doing nothing? Who is the customer of the change? From the customer’s point of view, what does success look like? How will we prove success? 32
  • 80. How do I communicate the change? What is the one sentence Vision? What is in and what is out of scope? What needs to change? What are the critical gaps to be closed? What are the assumptions? What is the exit criteria? 33
  • 81. Final Analysis Does the organization have capacity for this change? Is the customer in agreement with our vision of the change? Do we have the sponsorship required to be successful? A willingness to provide resources & manage consequences to ensure organizational alignment. 34 Yes,then GO NO, then exit
  • 82.
  • 83.
  • 84.
  • 85. There is actually always another company
  • 86. Learn everything you can, you’ll be glad
  • 87.
  • 88. Laws Pertaining to Data Management 39
  • 89. 40 Laws Pertaining to Data Management
  • 90. Laws Pertaining to Data Management 41