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Using Data Governance to
Support Business Strategy
             Rob Lux
        CTO, GMAC ResCap

         August 19, 2008
Agenda

•   GMAC Background
•   Why Data Governance?
•   Strategic Data Initiative (SDI)
•   Data Governance at GMAC
•   Lessons Learned
•   Questions




                                      2
GMAC background
   In November 2006 a Cerberus led consortium acquired 51% of GMAC
   GMAC Financial Services began to integrate its business units




                                                                      3
GMAC background




                  4
GMAC background
• 2006 GMAC ResCap was formed
• GMAC’s Residential Mortgage business
• Merger of two like-sized companies:
   – GMAC Residential Funding Corporation (GMAC-RFC)
   – GMAC Residential Mortgage




                                                       5
GMAC background
• Merger necessitated the integration of two like-sized,
  independent entities
• Different people, processes, and technology
• Each company had its own separate and distinct systems:
   –   Lending
   –   Servicing
   –   Capital markets
   –   General Ledger
   –   HR
   –   Data Warehouses
   –   Etc.
• There was a need to integrate the data of the two organizations
   – Our Data Services organization was created to address this need




                                                                       6
Why Data Governance?

• Gartner estimates that organizations spend at least
  70% percent of their BI budgets to resolve issues
  related to people, process, and governance

• "Due to a lack of a cohesive strategy, many
  organizations have created multiple, uncoordinated
  and tactical BI implementations, which has resulted in
  silos of technology, skills, processes and people."
   – Betsy Burton, VP and distinguished analyst at Gartner




                                                             7
Importance of Data to Financial
Services
• Two sustaining elements for a Financial Services
  company:
  1. Information
  2. Access to Capital


• GMAC rated Data Integrity as Top Priority in an
  Executive Survey




                                                     8
Is this the “Axis of Evil”…




                              9
…or is this the “Access of Evil?”




                                    10
Dramatic consequences

June 03, 2003 TORONTO (Reuters) -                     Fannie Mae, which finances home mortgages,
TransAlta Corp. said on Tuesday it will take a        stated in a news release of third-quarter
$24 million charge to earnings after a bidding        financials that it had discovered a $1.136
snafu landed it more U.S. power transmission          billion error in total shareholder equity. Jayne
hedging contracts than it bargained for, at           Shontell, Fannie Mae senior vice president for
higher prices than it wanted to pay.                  investor relations, explained in a written
[...] the company's computer spreadsheet              statement, "There were honest mistakes made
contained mismatched bids for the contracts, it       in a spreadsheet used in the implementation of
said. "It was literally a cut-and-paste error in an   a new accounting standard."
Excel spreadsheet that we did not detect when         —From PC World
we did our final sorting and ranking bids prior
to submission," TransAlta chief executive Steve
Snyder said in a conference call. "I am clearly
disappointed over this event. The important
thing is to learn from it, which we've done."




                                                                                                         11
Data Issues get worse during an M&A

                                                                                                                                                                           #53


              Homecomings /                                                                                                                  #24 - IMS-R DW Data                                                         Finance
                                              #4 & 50 - 1st & HE                E-Commerce
                 Retail                         NC Loan Info                                                                             Master                                                              #25        Valuation
                                                                                        ADI                 #4 & 50 1st                 Servicing                                                         #33           RVA/RIF
               MortgageFlex                                                                                                                                       #34
                                                                                                                                                                                   Master
                                                                                                             & HE NC
                                                                                                             Loan Info                    Other                                   Servicing
              Correspondent                                            #1 - 1st & HE                                       #28            Apps
                                                                        Loan Info                                         IMS-R                                                      HIP
                                                                                          #20 - 1st & HE                   Data
                  Café 4.0
                                                                                          Servicing Data
                  Café 2.2                                                                                                                      #35 Café 2.2 Data
                   IMS-R
                                                                                                            Capital Markets                                                                                #27
                 AssetWise                                                      #2 & 16 - 1st & HE                                                            #26                             Servicing
                                                                                 Servicing Data                  RFC
                                                                                                                                                     #14 & 15 – IMS-R SBO                       SBO                      #30
  #42 - 1st Loan Info




                                              DRAFT
                                                                                                                Café 2.2                                     Data
  (specific products )            #3 & 49 - 1st & HE
 May go through ADI                                                                                              IMS-R                                                                                                          #31
                                    NC Loan Info
                                                                                                                Café 4.0
                                                                                                                                                     #44 - IMS-R Data
                                                                                                            Data Warehouse /
                                  Institutional                                                               ODS/Vision                                                                            #29
                                                                #1 - 1st & HE Loan Info                    Automated Pooling
                                   Café 4.0
                                                                                                                                                                                                          Finance
   #18                             Café 2.2                               st
                                                                                                                      #48
                                    IMS-R                      #2 & 16 - 1 & HE                                    Commitment                                                    #37 Manual
Conforming                                                                                                                                                                                                  Gate
 Loan Info                                                         Servicing                                          Info                                                        Interface
                                  AssetWise                          Data                                                                                                                     #32
 (Manual)                                                                                                                                                                                                              #22
                                                                                                                  Commitment
             Homecomings /                                                                                        Management
                Broker                                                                                                                                                                                                 Finance        #23
                                                                                                                   Asset Lock                                              #51
              MortgageFlex          #19 - 1st & HE Conforming Loan                                                                                                             #11
                                                                                                                   Bid Commit                                                                                         PeopleSoft
                                        1st & HE Servicing Data                                                                                                      #52     #43
                                                                       Middleware /Business App                              #36
                           #42 - 1st & HE Loan Info
                            st
                           1 & HE Servicing Data                        Common Loan Interface                                                             #6 - 1st & HE
                         #54                                                   (CLI)                                                                       Servicing
                                                                                                                                      General                 Data                   #13 - Summary
                                                                                                                                                                                     Ledger Entries
                                                                                                   #47                                Ledger
                                                                                                1st & HE     #9 - 1st & HE
                                Correspondent                                                     Loan        Loan Info                  GLS
      Direct/Ditech                                     #5 - 1st & HE Loan Info                    Info
                                                                                                                                                                                                            #21-          Finance
                                    WALT                1st & HE Servicing Data                                                    #8 - Loan Updates                                                       Detailed
        Eclipse                   Engenious                                                                                                                                                                Ledger      SmartStream
       Engenious                                                                              Middleware                                                                                                    Entry
                                                                                                                                   Capital Markets #46                                     Contract ID
                                                                                                                                                  Sales &                                                    File
                                                                                                                                        Resi                                                Lookup
                                                                                                Switch        #10 - 1st & HE                             Switch                             Service
          Retail                                                                                                Loan Info               CMS
                                                              #41 - HE Loan Info
         CoPilot                                                                                                                        #7 - Daily
                                                                                                                                          Back                                           #45- Contract
                                     Retail                                                                                             Interface                                         ID Lookup
                                                                     #40 - 1st & HE Loan Info                                                                                              Request
                                     Pilot
                                  Lendscape                                        st
                                                                          #39 - 1 & HE Servicing Data                                                    Servicing
                                                                                                                                                                                                                          #12
                                                      #38 - HE Servicing Data                                                                  MortgageServ (LOIS, NELI)




                                                                                                                                                                                                                                            12
GMAC ResCap Data Program – July 2006

                       Residential Finance Group: Importance versus Effectiveness Gap -
       5.0                                                                               Jul
                     Key Strengths                                                       y
                                                                                  High Priorities

                                                                                         20
                                                                                         06
                                                                                                                         Strategy and Planning
                                                                                                                                                                               Survey concluded
                                                                                                                                                                             that Data is of high
                                                                                                                                                         Enterprise Architecture
                                           Availability Management
                                                              Security Policies and Stds
                                                                                                                    Data and Knowledge Mgmt                                 importance and that
                                                                                                                                                                              it was ineffectively
Importance




                                                                                    Portfolio Management
       4.0                   Project Mgmt and Execution
                                                  IT Staff Development                                      Value Demonstration
                                                                                                                                                                                   managed.
                                                                                                          Application Design    Leadership Development
              Business Case Discipline
                                                                    Risk Management       Disaster Recovery and BCP
                                                                     Requirements Definition                                  Process Digitization
                             Performance Management             IT-Enabled Collaboration
                                                               Technology Innovation
                                  Performance Reporting                   Life-Cycle Cost Efficiency
                                                                                                           Maint. Cost Containment
                             Cost Transparency


                                                           Vendor Perf Oversight
                    Potentially Over                                                                                                                      Opportunistic
                       Allocated                                                                                                                          Improvement
                                              Vendor Segmentation
       3.0
         0.00                                                                                            1.00
                                                                               Effectiveness Gap = Importance - Effectiveness


             Governance                                                  Performance Measurement and Value Demonstration
             Security and Business Continuity Planning                   Infrastructure Delivery and Management                        -----     Importance Ave:          3.82
             Applications Delivery and Management                        Vendor Management                                             -----     Company Gap Ave:         0.67
             Talent Management                                           Business Enablement




                                                                                                                                                                                           13
GMAC ResCap Data Program – July 2007
             Residential Finance Group: Importance versus Effectiveness Gap - July 2007
              7.0

                          Key Strengths                                                                                                                       High Priorities




              6.5
                                                                                                                                    Availability Management




                                                                                                                                           Strategy and Planning
              6.0                                Business Continuity Planning

 Business                                                                                       Responsiveness                      Project Delivery
  Partner                                                             Requirements Definition
                                            End-User Support                                              Business Liaison
Importance                                                                                                                                       Financial Impact
                                                                       Security                              Technical Skills
                                     Technology Provisioning                                                                            Skills Adaptation
                                                                                                             Leadership Skills
              5.5                                                    Risk Management                                                   Business Case Achievement
                                                            Data and Knowledge Management                                System Adoption

                                                                                                            Value Demonstration
                                                              Business Skills
                                                    Prioritization Discipline                   Business Functionality

              5.0        Business Case Discipline                                               Communication
                                Project Skills           Cost Transparency
                                                                                  Technology Innovation
                            Vendor Alignment
                                                                                                                                                              Opportunistic
                                                                  User Training
                             Low ROI                                                                                                                          Improvement

              4.5
                 (0.8)                                             (0.3)                                          0.3                                         0.8
                                                                                                                                                                                ResCap-RFG Average
                                                             Effectiveness Gap = Business Partner Importance - Business Partner Effectiveness
                                                                                                                                                                                Benchmark Average




                                                                                                                                                                                                     14
GMAC ResCap - Strategic Data
Initiative




                               15
Strategic Data Initiative - Approach
Step #1 – Get sponsorship from the top

It’s easier to get everyone marching in the same direction when it
comes from the top

Try for the CEO – if that doesn’t work the CFO and COO are your best
bets




                                                                       16
Strategic Data Initiative - Approach
Step #2 – Focus on Culture during an M&A

Collaborated with a team of Business and IT stakeholders to build SDI




Performed a cultural assessment:
       - Human Synergistics OCI
       - Competing Value’s Framework


                                                                        17
Strategic Data Initiative - Approach

Step #3 – We took a “Best of Both Worlds” (or Reese’s) approach




- Assessed components of both the RFC and RESI data programs
- Used strengths from each one and sought to enhance them
- Where neither was strong brought in outside help

- Your situation may vary – it may make more sense to take an acquisition
approach




                                                                      18
Strategic Data Initiative - Mission



  “The people, process, standards, tools, and
  procedures that develop a long-term
  organizational framework and foundation
  enabling ResCap to manage data as a
  strategic asset, that will be used as a
  trusted source of information across
  the Enterprise.”



                                                19
Strategic Data Initiative -
Deliverables
  • SDI had three major deliverables:
   – Establish an Enterprise Data Governance organization
   – Establish an Enterprise Data Stewardship organization
   – Establish an IT Data Services organization
                                                       Data
                                           Steering    Governance
                                          Committee
                                          Working
                                          Group

                                                          Minimum
                                 Data
                                                             Data
                                Quality
                                                          Standards


                                           Meta-Data
                                          Management


                        Enterprise                        Enterprise
                       Stewardship                       Architecture
                       Business Unit                       SDI Data
                       Stewardship                         Services
                                             Data
                  Data                      Sharing                   Data
                  Stewardship                                         Architecture




                                                                                     20
SDI – IT Data Services Org
                                                              Data
•   Data Governance                               Steering    Governance
                                                 Committee
•   Data Stewardship                             Working
                                                 Group

•   Data Architecture                   Data
                                                                 Minimum
                                                                    Data
                                       Quality

•   Data Reporting                                Meta-Data
                                                                 Standards



                                                 Management
•   Data Integration             Enterprise                      Enterprise
                                Stewardship                     Architecture
•   Database Administration     Business Unit                     SDI Data
                                Stewardship                       Services
•   Project Management Data                         Data
                                                   Sharing                   Data
                         Stewardship                                         Architecture
•   Consulting
•   Training
•   Vendor Management


                                                                                       21
SDI – Data Architecture
• Data Architecture
   –   Consulting
   –   Data Modeling
   –   Data Analysis
   –   Data Quality processes &
       standards
   –   Data Security
   –   Data Standards
   –   Tool Standards
   –   External standards bodies
       (MISMO, XBRL, HL7, etc.)




                                   22
SDI – Data Stewardship Model
                                                                                                                                                              Data
                                                                                                                                                  Steering    Governance
                                                                                                                                                 Committee
                                                               DATA GOVERNANCE
                                                                                                                                                 Working
                                           Data Governance Steering Committee (DGSC)                                                             Group
     Data
  Governance                                                                                                                                                     Minimum
                                                                                                                                        Data
     Roles                                                                                                                                                          Data
                                             Data Governance Working Group (DGWG)                                                      Quality
                                                                                                                                                                 Standards


                                                                                                                                                 Meta-Data
                                                                                                                                                 Management


                                                                                                                               Enterprise                        Enterprise
                                            Enterprise Data Stewardship Office (EDSO)                                         Stewardship                       Architecture
   Enterprise
Data Stewardship                                                                                                              Business Unit                       SDI Data
      Roles                                 Program Manager                   Program Staff
                                                                                                                              Stewardship                         Services
                                                                                                                                                    Data
                                                                                                                         Data                      Sharing                   Data
                                                                                                                         Stewardship                                         Architecture
                   Business Units Data Stewards
                   (BUDS)
                                                                                               Business Unit
                                                               Business Unit               Data Steward Manager
                              Business Unit                Data Steward Manager
 Business Unit
Data Stewardship          Data Steward Manager
      Roles
                                                                                     Definer     Producer         User
                                                     Definer       Producer       User

                    Definer     Producer          User



                       Note: Business Units may choose to assign one or more associates to fulfill the different data
                                              stewardship roles within the business unit
                                                                                      .




                                                                                                                                                                                23
Data Governance
Data Governance at GMAC ResCap
    – Executes and enforces authority over the management of data assets through
      Data Quality, Stewardship, and Standards initiatives
    – Empowers an organization to define guiding principles, policies, processes,
      standards and technologies
    – Ensures the quality, consistency, accuracy, availability, accessibility, and audit-
      ability of GMAC’ s data
In order to:
    –   Support sustainable growth                                                         Data
    –   Improve investor and client satisfaction                               Steering    Governance
                                                                              Committee
    –   Provide disciplined leadership                                        Working
                                                                              Group
    –   Manage and reduce risk
                                                                                              Minimum
    –   Streamline operations and improve time to market             Data
                                                                    Quality
                                                                                                 Data
                                                                                              Standards


                                                                              Meta-Data
                                                                              Management


                                                            Enterprise                        Enterprise
                                                           Stewardship                       Architecture
                                                           Business Unit                       SDI Data
                                                           Stewardship                         Services
                                                                                 Data
                                                      Data                      Sharing                   Data
                                                      Stewardship                                         Architecture


                                                                                                             24
Data Governance Defined




                          25
Data Governance Purpose
Improve productivity and lower cost of operations by:
     –   Approves, sponsors, and prioritizes all Enterprise Data projects
     –   Managing data so that it is available, complete, timely, and accurate
     –   Defining and enforcing data quality and data integrity standards
     –   Identifying and promoting standard tools and data quality standards


Improve risk posture by:
     –   Establishing data stewardship throughout the organization
     –   Implementing an effective process for escalating, prioritizing, tracking, solving and reporting on
         enterprise data risk issues
     –   Establishing rules governing the lifecycle of data
     –   Identifying and utilizing standard tools and access policies to allow for authorized and verified
         access to data


Improve organizational effectiveness through
     –   Measuring the effectiveness of Data Governance and its alignment to corporate goals
     –   Assumes ownership of all Enterprise Data
     –   Owns the Enterprise Data Warehouse and Enterprise Data Repository
     –   Resolves disputes regarding data issues
     –   Manages data quality



                                                                                                              26
Data Governance Organization
Steering Committee
   – Made up of Senior Business leaders
   – Maintains ultimate accountability for all facets of Data Governance
   – Establishes the Working Group to achieve the Data Governance goals and
     objectives
   – Reviews results of the Working Group on a regular basis
   – Meets monthly


Working Group
   – Two or more business data SME’ s from each business area
   – Appointed by the Steering Committee member to achieve the Data
     Governance goals and objectives
   – Strives to build consensus across organizational boundaries
   – Escalates issues to Steering Committee when appropriate
   – Meets weekly or more frequently if necessary




                                                                              27
Data Governance Representation

•   Asset Management      • GMAC Corporate
•   Banking / Ancillary   • Human Resources
•   Broker                • Information
•   Capital Markets         Technology
•   Consumer Lending      • Institutional
•   Correspondent         • Legal
•   Credit Risk           • Operations Risk
•   Finance               • Servicing
                          • Warehouse Lending


                                                28
Organization Membership
Steering Committee
   – One Chairperson
   – One senior manager from each business group in ResCap
   – Chairperson for the committee is appointed by the Executive Committee and
     position is reviewed annually
   – IT only has one seat – the CIO; all others are business people

Working Group
   – Facilitator plus one or more representatives for each Steering Committee
     member
   – Facilitator for the Working Group is appointed by the Steering Committee
   – Representatives appointed by Steering Committee Member for their business
     group
   – Recognized as experts or SMEs in their line of business
   – Many are also Data Stewards for their business area




                                                                                 29
Roles and Responsibilities
Steering Committee Chair
   – Establishes agendas, leads meetings and records results
   – Facilitates votes on business before the Committee


Steering Committee Member
   –   Ensures effective utilization of the program throughout ResCap
   –   Votes on business before the Committee, either in person or via proxy
   –   Appoints Working Group representative(s)
   –   Works with Working Group representatives and other Steering Committee
       Members to gauge progress and resolve issues related to Data Governance
       goals and objectives




                                                                                 30
Roles and Responsibilities
Working Group Facilitator
   –   Establishes agendas, leads meetings and records results
   –   Works to build consensus and arbitrate disputes
   –   Manages voting process
   –   Escalates issues to the Steering Committee when appropriate

Working Group Member
   – Effectively represents views of their business or support unit as well as
     understands the views and needs of the enterprise
   – Implements programs and participates in projects to achieve the Data
     Governance goals and objectives
   – Directs metadata requirements




                                                                                 31
Working Group Member Profile

•   Effectively represent the views of their business or support unit
•   Communicate the policies, standards and decisions of the Data Governance
    Organization to their organization
•   Implement programs and participate in projects to achieve the Data
    Governance goals and objectives
•   Work to define data in the best interest of the organization,
•   Act as an advocate for Data Governance and effective corporate-wide data
    management
•   Exercise authority for making decisions regarding data and related policies.




                                                                              32
Working Group Member Attributes

•   Understanding of the Mortgage Business in general and a strong
    understanding of their Business/Support unit
•   Understanding of the scope and location of the data within their business
    area, and relationships to other business areas
•   Strong knowledge of data attributes, their source, usage, and definition
•   Knowledgeable of the strengths and weaknesses of data as it exists within
    the business unit
•   Demonstrated ability to work on a team




                                                                                33
Working Group Member Workload
•   Workload – 2 to 3 hours per week
•   Communications and Execution – WG representatives are the Steering
    Committee member’s link to the Working Group
•   Coverage – Provide adequate representation for your organization
    (more than one representative allowed)
•   Teamwork – A business area must work as a unit
•   Attendance – Primaries and backups should be assigned. Attendance
    is tracked and published.
•   Performance – Individuals are responsible for active participation in the
    Working Group, and must have performance goals for Data
    Governance activities.




                                                                                34
Decision-making
 The Steering Committee operates by simple majority vote of full
 membership
  – At least 75% representation (through attendance or proxy) is required for
    quorum
  – Voting can only take place if quorum is achieved
  – Chairperson has voting and veto privileges
  – Decisions can result in approval, conditional approval, rejection, rejection
    with request for follow-up, or refer to Executive Committee
  – Decisions can be appealed by the Steering Committee Member to their
    Executive Committee representative, who can choose to bring the matter to
    the Executive Committee for consideration




                                                                                   35
Decision-making
 The Working Group operates by consensus – 100% concurrence
 is required for approval
  – Each organization has one vote, regardless of the number of representatives
  – Facilitator has no voting privileges
  – The group works to define the problem so the decision can result in
    approved by consensus, rejected with a request to return with additional
    information, rejected as presented, or escalated to the Steering Committee




                                                                                  36
Data Governance
                         Accomplishments
• Enterprise Data Model
    – Modified a generic Industry data model to accurately represent our business
• Data Quality
    – Identified issues with certain calculations in a source system; reviewed with Credit
      Policy & Capital Markets; clarified business rules for calcs; source system modified
      to conform to business rules.
    – Initiated a pilot of the Larry English TIQM data quality methodology.
• Data Survivorship
    – Determined the correct System of Record for 572 data elements in the EDR that
      could be sourced from either the Origination or Servicing system. In some
      instances both records were stored for historical purposes.
• Data Security
    – Classified the GMAC Proprietary data elements in the EDR. These are stored in
      the Metadata tool and reports which contain these data elements contain a “GMAC
      Proprietary” footer.
• Data Mart project reviews
    – Reviewed designs of multiple data mart projects




                                                                                         37
Data Governance
                      Accomplishments
• MISMO support
   – Ensure that Enterprise data conforms to MISMO XML standards
   – Actively participate in MISMO Governance
• GMAC ResCap Integration Project
   – Documented the current state data stores and data flows for the Enterprise
   – Identified the data requirements for all the Data Consumers – ~7,000 data
     elements
   – Consolidated these data requirements – eliminating dupes and conforming names
     - ~3,500 data elements
   – Reviewed the data needs among the Data Producers to optimize builds of
     interfaces
   – Developed a scorecard (13 questions) to determine what data is strategic
   – Strategic data to be hosted in Enterprise Data Repository
• Enterprise Data Repository (EDR)
   – Single Source of Truth for our Enterprise Data
   – Used to build functional data marts
   – Owned and maintained by Data Governance group




                                                                                     38
Developed Data Architecture
     Rules
 • Enterprise      Data Architecture Rules
     Data is owned by the    Data is adjudicated by
     corporation             Data Governance


     Data is managed by      Data is structured and
     data stewardship        stored based on its
                             behavior and usage

     Data is shared and      Data is not duplicated
     accessed using          unless duplication is
     common methods          necessary
     Data is secured         Meta data is maintained
     Data is modeled using   Data is managed using
     naming conventions      approved standards and
     and standards           tools



39                                                     39
Consolidated Business Data
Requirements
 • Output
     – Normalized business data requirements from
       ~7000 elements to ~3500 elements


 • Benefits
     – Provided data producers a de-duped listing from
       which to work
     – Provided data producers a single list of consumer
       data needs so they can determine how to expand
       their platforms




40                                                         40
Scored Enterprise Strategic Data
     • What
     – Score the consolidated list using criteria
       developed by the Data Governance Working
       Group


     • Why
      – Define candidate list of data elements for EDR
      – Develop one drop-off point for sharing data with other business units rather
        than developing many point-to-point ones between them
      – Eliminate any subsequent work for producers to address needs for new
        consumers
      – Sharing data in this way follows many of the enterprise data architecture
        rules defined by the Data Governance Working Group



41                                                                                     41
Enterprise Data Repository (EDR)
                                        Lending Data (current data)

                                              LendScape CFP
• Ten data sources                             (NetOxygen)

                                                   Retail

• Target is Enterprise Data                        (Pilot)


Repository (EDR) – all data elements            Retail HEQ
                                                (Co-Pilot)

will be conformed & cleansed.                  Ditech / Direct           ETL Processing
                                               (Eclipse/LPM)


• Single version of the truth for our            Wholesale                                           EDAP
                                                  (WALT)                                   Enterprise Data Repository
Enterprise data                                                                                                                              Business Specific
                                                                                                                                                Data Marts


• Data marts will be built from EDR
                                              Lending Data                                           EDR
                                             (historical loads)       - Extraction
                                                                      - Transformation
                                                   Retail             - Loading into ODS
• Enterprise Data Model used to                                                              Customer / Borrower                      Business Lending     LendScape
                                              (Pilot Archive)         - Data cleansing
                                                                      - Meta data              Product / Loan

design EDR
                                                                                                  Property
                                                  Retail
                                                                                                  Servicing
                                                (Co-Pilot)
                                                                                                                                      Risk Management            ECR

• 3NF                                            Ditech
                                                (Eclipse)


• Data Governance “owns” EDR                   Wholesale
                                             (WALT / EDAP)


• 808 data elements to start
                                              Servicing Data

• ~800 more being added for NC                MortgageServ
                                                                           Other Data


                                                                             Credit
                                                  Excelis
                                                (historical)


                                                   Shaw
                                                (historical)                                                            Business Objects
                                                                                                                                                           SAS Reports
                                                                                                                            Reports




                                                                                                                                                                         42
Developed charge-back model
                                                                                2007 ISCO BU Name                Total Allocation Total Percent
                                                                                Admin Overhead and Other Ops      $       772.50             0.70%
                                                                                Automated Decisioning             $        25.43             0.02%
                                                                                CFO Office                        $    8,100.41              7.33%
                                                                                Construction Lending              $        84.75             0.08%
                                                                                Consumer Lending Admin            $ 11,975.62               10.84%
                                                                                Corporate Real Estate             $       101.70             0.09%
                                                                                Correspondent Funding             $ 18,002.86               16.30%
                                                                                Ditech                            $ 14,656.39               13.27%
EDAP Services                                                                   ESDO
                                                                              ISCO                                $    1,249.78              1.13%
                                                                                ESG Fee Based Servicing           $    2,203.61              1.99%
Strategic Business Unit              Consumer Lending Admin                     ESG Owned Servicing               $ 30,696.58               27.79%
Reporting Period                     April, 2007                                Financial Services                $    3,992.11              3.61%
                                                                                GHS Mortgage                      $       118.66             0.11%
                                                                                GHS Other - Admin                 $       101.70             0.09%
                                             Metric             % of Total          $ Allocation
                                                                                GHS RE Co-Owned                   $    2,911.31              2.64%
Data Mart Hosting          (MB)             127,146,944               12.25% $             708.63
                                                                                GHS RE Franchise                  $        16.95             0.02%
Business Objects Usage     (# Users)                  23               0.60% $  GHS Relocation
                                                                                             69.27                $    3,043.21              2.75%
                                                                                Home Connects                     $       853.78             0.77%
Business Objects Hosting   (MB)                       78               0.61% $               73.55
                                                                                Home Solutions Svg Cross Sell     $        42.38             0.04%
DataStage Usage            (Seconds)           2,115,824              17.63% $           2,284.21
                                                                                Human Resources                   $        16.95             0.02%
DataStage Hosting          (MB)                  324,604              10.19% $  Investment Banking - Cap Markets $
                                                                                         1,119.85                      1,792.14              1.62%
                                                                                IT Lendscape                      $    1,658.23              1.50%
Enterprise Allocation                                                          $         1,530.63
                                                                                Operational Risk Management       $       668.90             0.61%
Base Support               (Hours)                    79              10.84% $           6,189.48
                                                                                Retail Network Summary            $    6,941.79              6.28%
Total                                                                 10.84% $  Retention
                                                                                       11,975.62                  $       305.11             0.28%
                                                                                Strategic Sourcing                $       127.13             0.12%
                                                                                Voice of the Customer             $         8.48             0.01%
                                                                                Warehouse and Finance Solutions $            -               0.00%
Services:                  ECR Data Mart, Business Objects Universe, Business Objects Accounts                    $ 110,468.46            100.00%




                                                                                                                                              43
Invoice for Data Management
services




                              44
Lessons Learned

1. Obtain Senior Executive (CEO if possible)
   sponsorship for Data Governance
2. Can not underestimate the importance of Culture
3. Choose an approach to merging your Data
   programs
4. Need a clearly defined strategic mission and
   program to transform the way you manage data
5. Consolidate Data Architecture & Delivery services
   – create a single point of accountability for IT Data
   Delivery in your organization




                                                           45
Potential pit-falls

 1. Changes to Executive staff during M&A can derail
    Data Governance continuity
 2. Management Consulting companies don’t know
    your company as well as you do
 3. Data Governance can be perceived as
    bureaucratic




                                                       46
Where to go for more information

 • The Data Warehousing Institute (TDWI)
   – http://www.tdwi.org/index.aspx
 • Data Management Association (DAMA)
   – http://dama.org/
 • DM Review magazine
   – http://www.dmreview.com/
 • MDM Institute
   – http://www.tcdii.com/index.html
 • The Data Administration Newsletter (TDAN)
   –   http://www.tdan.com/




                                               47
Questions




            48
Contact Information

• If you have further questions or comments:


                     Rob Lux
               CTO, GMAC ResCap
             rob.lux@gmacrescap.com
                   215-734-4205
               www.mortgagecto.org




                                               49

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Data Governance

  • 1. Using Data Governance to Support Business Strategy Rob Lux CTO, GMAC ResCap August 19, 2008
  • 2. Agenda • GMAC Background • Why Data Governance? • Strategic Data Initiative (SDI) • Data Governance at GMAC • Lessons Learned • Questions 2
  • 3. GMAC background  In November 2006 a Cerberus led consortium acquired 51% of GMAC  GMAC Financial Services began to integrate its business units 3
  • 5. GMAC background • 2006 GMAC ResCap was formed • GMAC’s Residential Mortgage business • Merger of two like-sized companies: – GMAC Residential Funding Corporation (GMAC-RFC) – GMAC Residential Mortgage 5
  • 6. GMAC background • Merger necessitated the integration of two like-sized, independent entities • Different people, processes, and technology • Each company had its own separate and distinct systems: – Lending – Servicing – Capital markets – General Ledger – HR – Data Warehouses – Etc. • There was a need to integrate the data of the two organizations – Our Data Services organization was created to address this need 6
  • 7. Why Data Governance? • Gartner estimates that organizations spend at least 70% percent of their BI budgets to resolve issues related to people, process, and governance • "Due to a lack of a cohesive strategy, many organizations have created multiple, uncoordinated and tactical BI implementations, which has resulted in silos of technology, skills, processes and people." – Betsy Burton, VP and distinguished analyst at Gartner 7
  • 8. Importance of Data to Financial Services • Two sustaining elements for a Financial Services company: 1. Information 2. Access to Capital • GMAC rated Data Integrity as Top Priority in an Executive Survey 8
  • 9. Is this the “Axis of Evil”… 9
  • 10. …or is this the “Access of Evil?” 10
  • 11. Dramatic consequences June 03, 2003 TORONTO (Reuters) - Fannie Mae, which finances home mortgages, TransAlta Corp. said on Tuesday it will take a stated in a news release of third-quarter $24 million charge to earnings after a bidding financials that it had discovered a $1.136 snafu landed it more U.S. power transmission billion error in total shareholder equity. Jayne hedging contracts than it bargained for, at Shontell, Fannie Mae senior vice president for higher prices than it wanted to pay. investor relations, explained in a written [...] the company's computer spreadsheet statement, "There were honest mistakes made contained mismatched bids for the contracts, it in a spreadsheet used in the implementation of said. "It was literally a cut-and-paste error in an a new accounting standard." Excel spreadsheet that we did not detect when —From PC World we did our final sorting and ranking bids prior to submission," TransAlta chief executive Steve Snyder said in a conference call. "I am clearly disappointed over this event. The important thing is to learn from it, which we've done." 11
  • 12. Data Issues get worse during an M&A #53 Homecomings / #24 - IMS-R DW Data Finance #4 & 50 - 1st & HE E-Commerce Retail NC Loan Info Master #25 Valuation ADI #4 & 50 1st Servicing #33 RVA/RIF MortgageFlex #34 Master & HE NC Loan Info Other Servicing Correspondent #1 - 1st & HE #28 Apps Loan Info IMS-R HIP #20 - 1st & HE Data Café 4.0 Servicing Data Café 2.2 #35 Café 2.2 Data IMS-R Capital Markets #27 AssetWise #2 & 16 - 1st & HE #26 Servicing Servicing Data RFC #14 & 15 – IMS-R SBO SBO #30 #42 - 1st Loan Info DRAFT Café 2.2 Data (specific products ) #3 & 49 - 1st & HE May go through ADI IMS-R #31 NC Loan Info Café 4.0 #44 - IMS-R Data Data Warehouse / Institutional ODS/Vision #29 #1 - 1st & HE Loan Info Automated Pooling Café 4.0 Finance #18 Café 2.2 st #48 IMS-R #2 & 16 - 1 & HE Commitment #37 Manual Conforming Gate Loan Info Servicing Info Interface AssetWise Data #32 (Manual) #22 Commitment Homecomings / Management Broker Finance #23 Asset Lock #51 MortgageFlex #19 - 1st & HE Conforming Loan #11 Bid Commit PeopleSoft 1st & HE Servicing Data #52 #43 Middleware /Business App #36 #42 - 1st & HE Loan Info st 1 & HE Servicing Data Common Loan Interface #6 - 1st & HE #54 (CLI) Servicing General Data #13 - Summary Ledger Entries #47 Ledger 1st & HE #9 - 1st & HE Correspondent Loan Loan Info GLS Direct/Ditech #5 - 1st & HE Loan Info Info #21- Finance WALT 1st & HE Servicing Data #8 - Loan Updates Detailed Eclipse Engenious Ledger SmartStream Engenious Middleware Entry Capital Markets #46 Contract ID Sales & File Resi Lookup Switch #10 - 1st & HE Switch Service Retail Loan Info CMS #41 - HE Loan Info CoPilot #7 - Daily Back #45- Contract Retail Interface ID Lookup #40 - 1st & HE Loan Info Request Pilot Lendscape st #39 - 1 & HE Servicing Data Servicing #12 #38 - HE Servicing Data MortgageServ (LOIS, NELI) 12
  • 13. GMAC ResCap Data Program – July 2006 Residential Finance Group: Importance versus Effectiveness Gap - 5.0 Jul Key Strengths y High Priorities 20 06 Strategy and Planning Survey concluded that Data is of high Enterprise Architecture Availability Management Security Policies and Stds Data and Knowledge Mgmt importance and that it was ineffectively Importance Portfolio Management 4.0 Project Mgmt and Execution IT Staff Development Value Demonstration managed. Application Design Leadership Development Business Case Discipline Risk Management Disaster Recovery and BCP Requirements Definition Process Digitization Performance Management IT-Enabled Collaboration Technology Innovation Performance Reporting Life-Cycle Cost Efficiency Maint. Cost Containment Cost Transparency Vendor Perf Oversight Potentially Over Opportunistic Allocated Improvement Vendor Segmentation 3.0 0.00 1.00 Effectiveness Gap = Importance - Effectiveness Governance Performance Measurement and Value Demonstration Security and Business Continuity Planning Infrastructure Delivery and Management ----- Importance Ave: 3.82 Applications Delivery and Management Vendor Management ----- Company Gap Ave: 0.67 Talent Management Business Enablement 13
  • 14. GMAC ResCap Data Program – July 2007 Residential Finance Group: Importance versus Effectiveness Gap - July 2007 7.0 Key Strengths High Priorities 6.5 Availability Management Strategy and Planning 6.0 Business Continuity Planning Business Responsiveness Project Delivery Partner Requirements Definition End-User Support Business Liaison Importance Financial Impact Security Technical Skills Technology Provisioning Skills Adaptation Leadership Skills 5.5 Risk Management Business Case Achievement Data and Knowledge Management System Adoption Value Demonstration Business Skills Prioritization Discipline Business Functionality 5.0 Business Case Discipline Communication Project Skills Cost Transparency Technology Innovation Vendor Alignment Opportunistic User Training Low ROI Improvement 4.5 (0.8) (0.3) 0.3 0.8 ResCap-RFG Average Effectiveness Gap = Business Partner Importance - Business Partner Effectiveness Benchmark Average 14
  • 15. GMAC ResCap - Strategic Data Initiative 15
  • 16. Strategic Data Initiative - Approach Step #1 – Get sponsorship from the top It’s easier to get everyone marching in the same direction when it comes from the top Try for the CEO – if that doesn’t work the CFO and COO are your best bets 16
  • 17. Strategic Data Initiative - Approach Step #2 – Focus on Culture during an M&A Collaborated with a team of Business and IT stakeholders to build SDI Performed a cultural assessment: - Human Synergistics OCI - Competing Value’s Framework 17
  • 18. Strategic Data Initiative - Approach Step #3 – We took a “Best of Both Worlds” (or Reese’s) approach - Assessed components of both the RFC and RESI data programs - Used strengths from each one and sought to enhance them - Where neither was strong brought in outside help - Your situation may vary – it may make more sense to take an acquisition approach 18
  • 19. Strategic Data Initiative - Mission “The people, process, standards, tools, and procedures that develop a long-term organizational framework and foundation enabling ResCap to manage data as a strategic asset, that will be used as a trusted source of information across the Enterprise.” 19
  • 20. Strategic Data Initiative - Deliverables • SDI had three major deliverables: – Establish an Enterprise Data Governance organization – Establish an Enterprise Data Stewardship organization – Establish an IT Data Services organization Data Steering Governance Committee Working Group Minimum Data Data Quality Standards Meta-Data Management Enterprise Enterprise Stewardship Architecture Business Unit SDI Data Stewardship Services Data Data Sharing Data Stewardship Architecture 20
  • 21. SDI – IT Data Services Org Data • Data Governance Steering Governance Committee • Data Stewardship Working Group • Data Architecture Data Minimum Data Quality • Data Reporting Meta-Data Standards Management • Data Integration Enterprise Enterprise Stewardship Architecture • Database Administration Business Unit SDI Data Stewardship Services • Project Management Data Data Sharing Data Stewardship Architecture • Consulting • Training • Vendor Management 21
  • 22. SDI – Data Architecture • Data Architecture – Consulting – Data Modeling – Data Analysis – Data Quality processes & standards – Data Security – Data Standards – Tool Standards – External standards bodies (MISMO, XBRL, HL7, etc.) 22
  • 23. SDI – Data Stewardship Model Data Steering Governance Committee DATA GOVERNANCE Working Data Governance Steering Committee (DGSC) Group Data Governance Minimum Data Roles Data Data Governance Working Group (DGWG) Quality Standards Meta-Data Management Enterprise Enterprise Enterprise Data Stewardship Office (EDSO) Stewardship Architecture Enterprise Data Stewardship Business Unit SDI Data Roles Program Manager Program Staff Stewardship Services Data Data Sharing Data Stewardship Architecture Business Units Data Stewards (BUDS) Business Unit Business Unit Data Steward Manager Business Unit Data Steward Manager Business Unit Data Stewardship Data Steward Manager Roles Definer Producer User Definer Producer User Definer Producer User Note: Business Units may choose to assign one or more associates to fulfill the different data stewardship roles within the business unit . 23
  • 24. Data Governance Data Governance at GMAC ResCap – Executes and enforces authority over the management of data assets through Data Quality, Stewardship, and Standards initiatives – Empowers an organization to define guiding principles, policies, processes, standards and technologies – Ensures the quality, consistency, accuracy, availability, accessibility, and audit- ability of GMAC’ s data In order to: – Support sustainable growth Data – Improve investor and client satisfaction Steering Governance Committee – Provide disciplined leadership Working Group – Manage and reduce risk Minimum – Streamline operations and improve time to market Data Quality Data Standards Meta-Data Management Enterprise Enterprise Stewardship Architecture Business Unit SDI Data Stewardship Services Data Data Sharing Data Stewardship Architecture 24
  • 26. Data Governance Purpose Improve productivity and lower cost of operations by: – Approves, sponsors, and prioritizes all Enterprise Data projects – Managing data so that it is available, complete, timely, and accurate – Defining and enforcing data quality and data integrity standards – Identifying and promoting standard tools and data quality standards Improve risk posture by: – Establishing data stewardship throughout the organization – Implementing an effective process for escalating, prioritizing, tracking, solving and reporting on enterprise data risk issues – Establishing rules governing the lifecycle of data – Identifying and utilizing standard tools and access policies to allow for authorized and verified access to data Improve organizational effectiveness through – Measuring the effectiveness of Data Governance and its alignment to corporate goals – Assumes ownership of all Enterprise Data – Owns the Enterprise Data Warehouse and Enterprise Data Repository – Resolves disputes regarding data issues – Manages data quality 26
  • 27. Data Governance Organization Steering Committee – Made up of Senior Business leaders – Maintains ultimate accountability for all facets of Data Governance – Establishes the Working Group to achieve the Data Governance goals and objectives – Reviews results of the Working Group on a regular basis – Meets monthly Working Group – Two or more business data SME’ s from each business area – Appointed by the Steering Committee member to achieve the Data Governance goals and objectives – Strives to build consensus across organizational boundaries – Escalates issues to Steering Committee when appropriate – Meets weekly or more frequently if necessary 27
  • 28. Data Governance Representation • Asset Management • GMAC Corporate • Banking / Ancillary • Human Resources • Broker • Information • Capital Markets Technology • Consumer Lending • Institutional • Correspondent • Legal • Credit Risk • Operations Risk • Finance • Servicing • Warehouse Lending 28
  • 29. Organization Membership Steering Committee – One Chairperson – One senior manager from each business group in ResCap – Chairperson for the committee is appointed by the Executive Committee and position is reviewed annually – IT only has one seat – the CIO; all others are business people Working Group – Facilitator plus one or more representatives for each Steering Committee member – Facilitator for the Working Group is appointed by the Steering Committee – Representatives appointed by Steering Committee Member for their business group – Recognized as experts or SMEs in their line of business – Many are also Data Stewards for their business area 29
  • 30. Roles and Responsibilities Steering Committee Chair – Establishes agendas, leads meetings and records results – Facilitates votes on business before the Committee Steering Committee Member – Ensures effective utilization of the program throughout ResCap – Votes on business before the Committee, either in person or via proxy – Appoints Working Group representative(s) – Works with Working Group representatives and other Steering Committee Members to gauge progress and resolve issues related to Data Governance goals and objectives 30
  • 31. Roles and Responsibilities Working Group Facilitator – Establishes agendas, leads meetings and records results – Works to build consensus and arbitrate disputes – Manages voting process – Escalates issues to the Steering Committee when appropriate Working Group Member – Effectively represents views of their business or support unit as well as understands the views and needs of the enterprise – Implements programs and participates in projects to achieve the Data Governance goals and objectives – Directs metadata requirements 31
  • 32. Working Group Member Profile • Effectively represent the views of their business or support unit • Communicate the policies, standards and decisions of the Data Governance Organization to their organization • Implement programs and participate in projects to achieve the Data Governance goals and objectives • Work to define data in the best interest of the organization, • Act as an advocate for Data Governance and effective corporate-wide data management • Exercise authority for making decisions regarding data and related policies. 32
  • 33. Working Group Member Attributes • Understanding of the Mortgage Business in general and a strong understanding of their Business/Support unit • Understanding of the scope and location of the data within their business area, and relationships to other business areas • Strong knowledge of data attributes, their source, usage, and definition • Knowledgeable of the strengths and weaknesses of data as it exists within the business unit • Demonstrated ability to work on a team 33
  • 34. Working Group Member Workload • Workload – 2 to 3 hours per week • Communications and Execution – WG representatives are the Steering Committee member’s link to the Working Group • Coverage – Provide adequate representation for your organization (more than one representative allowed) • Teamwork – A business area must work as a unit • Attendance – Primaries and backups should be assigned. Attendance is tracked and published. • Performance – Individuals are responsible for active participation in the Working Group, and must have performance goals for Data Governance activities. 34
  • 35. Decision-making The Steering Committee operates by simple majority vote of full membership – At least 75% representation (through attendance or proxy) is required for quorum – Voting can only take place if quorum is achieved – Chairperson has voting and veto privileges – Decisions can result in approval, conditional approval, rejection, rejection with request for follow-up, or refer to Executive Committee – Decisions can be appealed by the Steering Committee Member to their Executive Committee representative, who can choose to bring the matter to the Executive Committee for consideration 35
  • 36. Decision-making The Working Group operates by consensus – 100% concurrence is required for approval – Each organization has one vote, regardless of the number of representatives – Facilitator has no voting privileges – The group works to define the problem so the decision can result in approved by consensus, rejected with a request to return with additional information, rejected as presented, or escalated to the Steering Committee 36
  • 37. Data Governance Accomplishments • Enterprise Data Model – Modified a generic Industry data model to accurately represent our business • Data Quality – Identified issues with certain calculations in a source system; reviewed with Credit Policy & Capital Markets; clarified business rules for calcs; source system modified to conform to business rules. – Initiated a pilot of the Larry English TIQM data quality methodology. • Data Survivorship – Determined the correct System of Record for 572 data elements in the EDR that could be sourced from either the Origination or Servicing system. In some instances both records were stored for historical purposes. • Data Security – Classified the GMAC Proprietary data elements in the EDR. These are stored in the Metadata tool and reports which contain these data elements contain a “GMAC Proprietary” footer. • Data Mart project reviews – Reviewed designs of multiple data mart projects 37
  • 38. Data Governance Accomplishments • MISMO support – Ensure that Enterprise data conforms to MISMO XML standards – Actively participate in MISMO Governance • GMAC ResCap Integration Project – Documented the current state data stores and data flows for the Enterprise – Identified the data requirements for all the Data Consumers – ~7,000 data elements – Consolidated these data requirements – eliminating dupes and conforming names - ~3,500 data elements – Reviewed the data needs among the Data Producers to optimize builds of interfaces – Developed a scorecard (13 questions) to determine what data is strategic – Strategic data to be hosted in Enterprise Data Repository • Enterprise Data Repository (EDR) – Single Source of Truth for our Enterprise Data – Used to build functional data marts – Owned and maintained by Data Governance group 38
  • 39. Developed Data Architecture Rules • Enterprise Data Architecture Rules Data is owned by the Data is adjudicated by corporation Data Governance Data is managed by Data is structured and data stewardship stored based on its behavior and usage Data is shared and Data is not duplicated accessed using unless duplication is common methods necessary Data is secured Meta data is maintained Data is modeled using Data is managed using naming conventions approved standards and and standards tools 39 39
  • 40. Consolidated Business Data Requirements • Output – Normalized business data requirements from ~7000 elements to ~3500 elements • Benefits – Provided data producers a de-duped listing from which to work – Provided data producers a single list of consumer data needs so they can determine how to expand their platforms 40 40
  • 41. Scored Enterprise Strategic Data • What – Score the consolidated list using criteria developed by the Data Governance Working Group • Why – Define candidate list of data elements for EDR – Develop one drop-off point for sharing data with other business units rather than developing many point-to-point ones between them – Eliminate any subsequent work for producers to address needs for new consumers – Sharing data in this way follows many of the enterprise data architecture rules defined by the Data Governance Working Group 41 41
  • 42. Enterprise Data Repository (EDR) Lending Data (current data) LendScape CFP • Ten data sources (NetOxygen) Retail • Target is Enterprise Data (Pilot) Repository (EDR) – all data elements Retail HEQ (Co-Pilot) will be conformed & cleansed. Ditech / Direct ETL Processing (Eclipse/LPM) • Single version of the truth for our Wholesale EDAP (WALT) Enterprise Data Repository Enterprise data Business Specific Data Marts • Data marts will be built from EDR Lending Data EDR (historical loads) - Extraction - Transformation Retail - Loading into ODS • Enterprise Data Model used to Customer / Borrower Business Lending LendScape (Pilot Archive) - Data cleansing - Meta data Product / Loan design EDR Property Retail Servicing (Co-Pilot) Risk Management ECR • 3NF Ditech (Eclipse) • Data Governance “owns” EDR Wholesale (WALT / EDAP) • 808 data elements to start Servicing Data • ~800 more being added for NC MortgageServ Other Data Credit Excelis (historical) Shaw (historical) Business Objects SAS Reports Reports 42
  • 43. Developed charge-back model 2007 ISCO BU Name Total Allocation Total Percent Admin Overhead and Other Ops $ 772.50 0.70% Automated Decisioning $ 25.43 0.02% CFO Office $ 8,100.41 7.33% Construction Lending $ 84.75 0.08% Consumer Lending Admin $ 11,975.62 10.84% Corporate Real Estate $ 101.70 0.09% Correspondent Funding $ 18,002.86 16.30% Ditech $ 14,656.39 13.27% EDAP Services ESDO ISCO $ 1,249.78 1.13% ESG Fee Based Servicing $ 2,203.61 1.99% Strategic Business Unit Consumer Lending Admin ESG Owned Servicing $ 30,696.58 27.79% Reporting Period April, 2007 Financial Services $ 3,992.11 3.61% GHS Mortgage $ 118.66 0.11% GHS Other - Admin $ 101.70 0.09% Metric % of Total $ Allocation GHS RE Co-Owned $ 2,911.31 2.64% Data Mart Hosting (MB) 127,146,944 12.25% $ 708.63 GHS RE Franchise $ 16.95 0.02% Business Objects Usage (# Users) 23 0.60% $ GHS Relocation 69.27 $ 3,043.21 2.75% Home Connects $ 853.78 0.77% Business Objects Hosting (MB) 78 0.61% $ 73.55 Home Solutions Svg Cross Sell $ 42.38 0.04% DataStage Usage (Seconds) 2,115,824 17.63% $ 2,284.21 Human Resources $ 16.95 0.02% DataStage Hosting (MB) 324,604 10.19% $ Investment Banking - Cap Markets $ 1,119.85 1,792.14 1.62% IT Lendscape $ 1,658.23 1.50% Enterprise Allocation $ 1,530.63 Operational Risk Management $ 668.90 0.61% Base Support (Hours) 79 10.84% $ 6,189.48 Retail Network Summary $ 6,941.79 6.28% Total 10.84% $ Retention 11,975.62 $ 305.11 0.28% Strategic Sourcing $ 127.13 0.12% Voice of the Customer $ 8.48 0.01% Warehouse and Finance Solutions $ - 0.00% Services: ECR Data Mart, Business Objects Universe, Business Objects Accounts $ 110,468.46 100.00% 43
  • 44. Invoice for Data Management services 44
  • 45. Lessons Learned 1. Obtain Senior Executive (CEO if possible) sponsorship for Data Governance 2. Can not underestimate the importance of Culture 3. Choose an approach to merging your Data programs 4. Need a clearly defined strategic mission and program to transform the way you manage data 5. Consolidate Data Architecture & Delivery services – create a single point of accountability for IT Data Delivery in your organization 45
  • 46. Potential pit-falls 1. Changes to Executive staff during M&A can derail Data Governance continuity 2. Management Consulting companies don’t know your company as well as you do 3. Data Governance can be perceived as bureaucratic 46
  • 47. Where to go for more information • The Data Warehousing Institute (TDWI) – http://www.tdwi.org/index.aspx • Data Management Association (DAMA) – http://dama.org/ • DM Review magazine – http://www.dmreview.com/ • MDM Institute – http://www.tcdii.com/index.html • The Data Administration Newsletter (TDAN) – http://www.tdan.com/ 47
  • 48. Questions 48
  • 49. Contact Information • If you have further questions or comments: Rob Lux CTO, GMAC ResCap rob.lux@gmacrescap.com 215-734-4205 www.mortgagecto.org 49