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Analytics: 
Governing the Data to Dollars Value Chain™
Jaime Fitzgerald
President, Fitzgerald Analytics

Sept 13, 2012 2:40PM
New York City


                                      Architects of Fact‐Based Decisions™
Introduction

                                                                         Jaime Fitzgerald,
                                                                         Founder @ Fitzgerald Analytics

                                        To help clients find and unlock opportunities
       Professional 
          Mission:                      via data, technology, and processes, while
                                        always addressing the crucial role of people.
        To Achieve 
        my Mission                            Easier Ways to                                       and               Better Ways to 
        I Focus On:                         Find Opportunities                                                    Unlock That Potential


                  Other                  Writing a book:  “The Data to Dollars Value Chain”
               Projects:                 Collaborating re: Analytics, Info Mgt, Data Mgt via groups like 
                                          TDWI, NYTC, DAMA, AIIM, and “Analytics in Fiserv NYC”


Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved              2
Things my team and I work on a lot

          1
                                                 Improving Analytic Processes

          2
                                                        Building Analytic Teams

          3
                                                    Measuring Things Clients 
                                                   Did Not Previously Measure
          4
                                                    Turning Data into Dollars™


Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   3
The “importance statement”…

            “Technology is to us…

                                 ….what manufacturing is to

                                                                                             General Motors." 

                                       ‐Jamie Dimon, Chairman/President/CEO 
                                                                                                                 JPMorgan Chase

         Source: The Economist, 2007, re: banking   http://econ.st/nrMSpa

Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved      4
…the problem statement




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   5
Table of Contents



                         1. Data to Dollars Value Chain™


                         2. Governance Recommendations


                         3. Case Studies




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   6
The Data to Dollars Value Chain™

                   1. Data                              2. Analysis                                3. Action                     4. Results


          New Data                                                                         Better Decisions  Revenue 
           Source                                Analysis               Insight                                 Growth
           Acquisition                                                                      Better
                                                                                             Processes         Margin 
          Data Discovery                                                                                       Expansion
                                                                                            More 
          Data                                                                              Customers         Cost Reduction
           Governance
                                                                                            Happier  &                         Risk 
          Data Quality                                                                      More Loyal                          Management
                                                                                             Customers

                                                                                            Opportunity 
                                                                                             Discovery


Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                  7
Analytics Value Chain as a Cycle

                                                                          1

                                                                                      Data



                                   5                                                                             2
                                          New Data 
                                          Learnings                                                                       Analysis




                                                  4                                                3

                                                            Results                                          Action




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved         8
Example: Customer Analytics Cycle
                                                                              1                                               Profitability
                                                                                                                              Behaviors
                                                                                      Customer                                Demographics
                                                                                        Data                                  Psychographics
                                                                                                                              Wants & Needs


       Response to actions             5                                                                             2
                                                                                                                                                    Descriptive
       Delta vs. Predictions                  New Data 
                                                                                                                                Analysis            Predictive
       New insights
       New hypotheses
                                               Learnings                                                                                            Test & Learn
                                                                                                                                                    Hypotheses
       New data sources




                                                       4                                                3
                    Customer Response                                                                                                    Messages
                    Financial Impact                                                                                                     Offers
                    Predictions vs.                             Results                                          Action                  Products
                     Actuals                                                                                                              Pricing & Policy
                    Surprises                                                                                                            Customer Service
                    Input



Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                                        9
So why DOES this happen?




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   10
“Uber Cause”: Complexity + Human Limitations



                                                                                                              2. Decisions 
                     1. Business Models
                                                                                                              + Processes
                                                                           Analytic 
                                                                           Projects
                                                                                                   4. Tech Tools, 
                     3. Analysis Options                                                        Platforms, Plug‐ins, 
                                                                                                Deployment Options


          Complexity = f (Bizmodels x Decisions x Processes x Analysis Options x……..)

Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   11
Other Root Causes of “Analytic Underperformance”

             1
                     Cross‐Functional Collaboration

             2
                                                                                                               The good news is…
                         Communication Challenges
                                                                                                               …managing complexity 
             3                                                                                                 makes all these other 
                              Technology and                                                                   problems easier to manage 
                         Data Management Barriers                                                              also…

             4
                     People: Talent, Skills, Learning, 
                          Team Effectiveness



Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                12
Table of Contents



                         1. Data to Dollars Value Chain™


                         2. Governance Recommendations


                         3. Case Studies




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   13
Recommendation #1: Process Standards
    Plan and execute with discipline ‐ “begin with the end in mind”

      Plan:                                                             Business Goal
                           Translates to


                                                                  Insights Required
                           Which drives

                                                    Analysis Methods Required
                           Allowing definition of 


                                                                       Data Required
                           And selection of the right

                                                 Platforms, Technology, People, and Processes                                  Act:

Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved          14
Rec #2: Core Governance Objectives

                             Objective                                                            Recommendations

                                                                        • Business‐driven w/ technical inputs (e.g. time est.)
                        1. Prioritization                               • Standard criteria (process not personality!)
                                                                        • Decision‐rights clear (governance team!)


                      2. Repeatability /                                • Essential for testing, QA, audit, often compliance
                         traceability                                   • Key concept:  lineage / process branching


                                                                        • Trust = f (trust‐worthiness + communication)
                          3. Trust & Use                                • Key concept: fit with purpose
                                                                        • Trust drives use…Use drives value.

                                                                        • Optimize globally (not locally)
               4. Enterprise Alignment                                  • Key Concept:  the “Enterprise Hat”
                                                                        • Impossible without governance

Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved     15
Rec #3: Speaking of Alignment




                         Analytics                                                                                             Data
                         Governance                                                                                      Governance




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved          16
Rec #4: The Power of “Causal Clarity”



                                                                                                                                 Example: Drivers 
                                                                                                                                   of Net Profit
                                                                    Revenue

                                                                       less
            Your                          Has                 Cost of Revenue                                   Gross Profit
          Business                                            Operating Costs
           Model                                                                                                   less        Net Profit
                                                                  Marketing                                     Other Costs
                                                                   Overhead

                                                                      Other




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                         17
Example: creating “Causal Clarity” 
            ROI on Sales & Marketing:
                                Opportunity:                                   “Efficiency of New Client Acquisition”
                        Key Driver / KPI:                                            Acquisition Cost per New Client
                                        Formula:  [spending on new client marketing]/[# New Clients)

                Transactions                            Price per 
                 per Client                            Transaction
                          X

                 # of Clients                              Volume




                    Sales and 
                    Marketing


Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   18
Rec #5:  Analytic Governance “Cheat Sheet”  


          For All: 1. Begin Your  2. Define +                                           3. Identify                  4. Define the  5. Keep 
                                Business                      Agree on                    Points of                    info needed  analysis as 
                                Model                         the Causal                  Opp.                         to unlock      simple as 
                                                              Model                                                    the opp.       possible…



        By Role:              Executive
                               Establish “causal clarity” visually so that everyone understands
                               Encourage teams to use this context to prioritize and target effort
                               Expect recommendations to be justified by their impact on key drivers

                              Business                                                                  Technology
                               Identify points of opportunity                                           Insist upon understanding the 
                                before investing time in analytic                                         business context and causal logic 
                                details                                                                   of requests for analytic systems 
                                                                                                          and effort 

Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                       19
Table of Contents



                         1. Data to Dollars Value Chain™


                         2. Governance Recommendations


                         3. Case Studies




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   20
Case Study: Missing the “Analytics Layer”
                                                                                                                               Case Study:
    The cost of “competing without analytics”?                                                                                 Private Label Credit

         Step 1: Performance Gap Analysis
                                                                                                       Performance 
                       Key Performance Metric
                                                                                                      vs. Peer Group
            % of Store Customers w/ Store Card

            Line of Credit per Cardholder

            Utilization Rate (balance/credit limit)

            “Gross Profit Yield on Balances”

            Impact on Store Profits (extra boost)

            Total profit per card (annual, lifetime)


Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                          21
It is hard to compete without the analytics layer



      Plan:                                                                    Business Goal



                                                                           Insights Required



                                                               Missing Analytics Layer


                                                                                        Data



                                                      Tools, Technology, People, and Processes                                 Act:


Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved          22
Step 2: Groundwork for Analytics Capability

    Basic pre‐conditions to analytics excellence…

                         Data Quality

                         Data Integration

                         Customer Profitability



                         Analytics Data Mart



Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   23
Step 3: Proof of Concept (‘”It’s Valuable”)

    The first 3 analytic wins proved the value….

                                                                                Credit Line Decision Rules
                                                                                         (Profit Lift = 14 %)

                                                                                Credit Approval Models
                                                                                         (Profit Lift = 10%)

                                                                                Marketing ROI 
                                                                                         (Efficiency Gain = 30%)



Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   24
The “Long Pass” analogy


                                                                                          In Analytics, what is the

                                                                                            “cost of an interception?”




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   25
Step 4: Scale & Sustainability (1 FTE to 10 FTE)


                                      Analytics Governance Board                                                                Strategy



                                     Request Management System                                                                 Data Gov.



                                                                                                                                   IT 
                                    Project Portfolio Management
                                                                                                                               Governance



                   Project 1                 Project 2                 Project 3                 Project 4


                                 Profits quintupled, sustainable growth trajectory
Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                26
Case Study: “Lean Startup” Governance

                              Realities                                               Implications for Governance

                                                                            “Process overhead” considered 
          Budget Constraints
                                                                             untenable…
                                                                            Adds speed and agility…
          Rapid‐cycle work‐styles                                           …but increases risk of mistakes…
                                                                            …and lost knowledge…
                                                                            THIS is where the team realises how 
          “Rework” a big risk
                                                                             much they NEED documentation


          Key solution                                                                             2. Govern the                3. In‐Code 
                                                                     1. Causal 
          elements:                                                                                Info‐Product                “Knowledge 
                                                                      Clarity
                                                                                                      Portfolio                   Drops”

Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                  27
Context:  Local Search Business Models




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   28
Bundle’s Disruption – It is based on REAL SPEND DATA




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved   29
Key Data Source: Billions of Real Spending Records
         Unlike other merchant listing sites, our content is based on real credit card 
         spending by 20 million households
                                                                                                                Key Issues with this Data:
         Example: Credit Card Statement Data                                                                    1. Credit card data lacks 
                                                                                                                   merchant identifier
                                                                                                                2. Depend on text analytics to 
                                                                                                                   associate transactions with 
                                                                                                                   merchants




Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                      30
Key Steps in “Refinement” (Transformation)

                                                                             Transformed                                         To Create New 
                        Old Data                                             in New Ways                                       Features Such As…


                Card Transaction                                                Normalization                                  People Who Shop 
                      Data                                                                                                      Here Also Like…


                                                                                Clustering
               Merchant Listings                                                                                               The Bundle Loyalty 
               (e.g., Address, Phone                                                                                                 Score
              Number, Business Type)
                                                                                Linking
                                                                                                                                  Data‐Driven 
                     Other Data:                                                                                               Reviews From an 
              Census, Bureau of Labor 
                                                                                Aggregation                                    Array of Customer 
              Statistics, User Feedback                                                                                            Segments



Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved                         31

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Governing the Data to Dollars Value Chain™ - Sept 2012 NYC Data Governance Conference

  • 2. Introduction Jaime Fitzgerald, Founder @ Fitzgerald Analytics To help clients find and unlock opportunities Professional  Mission: via data, technology, and processes, while always addressing the crucial role of people. To Achieve  my Mission Easier Ways to  and Better Ways to  I Focus On: Find Opportunities Unlock That Potential Other   Writing a book:  “The Data to Dollars Value Chain” Projects:  Collaborating re: Analytics, Info Mgt, Data Mgt via groups like  TDWI, NYTC, DAMA, AIIM, and “Analytics in Fiserv NYC” Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 2
  • 3. Things my team and I work on a lot 1 Improving Analytic Processes 2 Building Analytic Teams 3 Measuring Things Clients  Did Not Previously Measure 4 Turning Data into Dollars™ Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 3
  • 4. The “importance statement”… “Technology is to us… ….what manufacturing is to General Motors."  ‐Jamie Dimon, Chairman/President/CEO  JPMorgan Chase Source: The Economist, 2007, re: banking   http://econ.st/nrMSpa Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 4
  • 6. Table of Contents 1. Data to Dollars Value Chain™ 2. Governance Recommendations 3. Case Studies Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 6
  • 7. The Data to Dollars Value Chain™ 1. Data 2. Analysis 3. Action 4. Results  New Data   Better Decisions  Revenue  Source  Analysis Insight Growth Acquisition  Better Processes  Margin   Data Discovery  Expansion  More   Data  Customers  Cost Reduction Governance  Happier  &   Risk   Data Quality More Loyal  Management Customers  Opportunity  Discovery Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 7
  • 8. Analytics Value Chain as a Cycle 1 Data 5 2 New Data  Learnings Analysis 4 3 Results Action Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 8
  • 9. Example: Customer Analytics Cycle 1  Profitability  Behaviors Customer   Demographics Data  Psychographics  Wants & Needs  Response to actions 5 2  Descriptive  Delta vs. Predictions New Data  Analysis  Predictive  New insights  New hypotheses Learnings  Test & Learn  Hypotheses  New data sources 4 3  Customer Response  Messages  Financial Impact  Offers  Predictions vs.  Results Action  Products Actuals  Pricing & Policy  Surprises  Customer Service  Input Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 9
  • 11. “Uber Cause”: Complexity + Human Limitations 2. Decisions  1. Business Models + Processes Analytic  Projects 4. Tech Tools,  3. Analysis Options Platforms, Plug‐ins,  Deployment Options Complexity = f (Bizmodels x Decisions x Processes x Analysis Options x……..) Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 11
  • 12. Other Root Causes of “Analytic Underperformance” 1 Cross‐Functional Collaboration 2 The good news is… Communication Challenges …managing complexity  3 makes all these other  Technology and  problems easier to manage  Data Management Barriers also… 4 People: Talent, Skills, Learning,  Team Effectiveness Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 12
  • 13. Table of Contents 1. Data to Dollars Value Chain™ 2. Governance Recommendations 3. Case Studies Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 13
  • 14. Recommendation #1: Process Standards Plan and execute with discipline ‐ “begin with the end in mind” Plan: Business Goal Translates to Insights Required Which drives Analysis Methods Required Allowing definition of  Data Required And selection of the right Platforms, Technology, People, and Processes Act: Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 14
  • 15. Rec #2: Core Governance Objectives Objective Recommendations • Business‐driven w/ technical inputs (e.g. time est.) 1. Prioritization • Standard criteria (process not personality!) • Decision‐rights clear (governance team!) 2. Repeatability /  • Essential for testing, QA, audit, often compliance traceability • Key concept:  lineage / process branching • Trust = f (trust‐worthiness + communication) 3. Trust & Use • Key concept: fit with purpose • Trust drives use…Use drives value. • Optimize globally (not locally) 4. Enterprise Alignment • Key Concept:  the “Enterprise Hat” • Impossible without governance Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 15
  • 16. Rec #3: Speaking of Alignment Analytics  Data Governance Governance Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 16
  • 17. Rec #4: The Power of “Causal Clarity” Example: Drivers  of Net Profit Revenue less Your  Has Cost of Revenue Gross Profit Business  Operating Costs Model less Net Profit Marketing Other Costs Overhead Other Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 17
  • 18. Example: creating “Causal Clarity”  ROI on Sales & Marketing: Opportunity: “Efficiency of New Client Acquisition” Key Driver / KPI:  Acquisition Cost per New Client Formula:  [spending on new client marketing]/[# New Clients) Transactions  Price per  per Client Transaction X # of Clients Volume Sales and  Marketing Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 18
  • 19. Rec #5:  Analytic Governance “Cheat Sheet”   For All: 1. Begin Your  2. Define +  3. Identify  4. Define the  5. Keep  Business  Agree on  Points of  info needed  analysis as  Model the Causal  Opp. to unlock  simple as  Model the opp. possible… By Role: Executive  Establish “causal clarity” visually so that everyone understands  Encourage teams to use this context to prioritize and target effort  Expect recommendations to be justified by their impact on key drivers Business Technology  Identify points of opportunity   Insist upon understanding the  before investing time in analytic  business context and causal logic  details of requests for analytic systems  and effort  Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 19
  • 20. Table of Contents 1. Data to Dollars Value Chain™ 2. Governance Recommendations 3. Case Studies Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 20
  • 21. Case Study: Missing the “Analytics Layer” Case Study: The cost of “competing without analytics”? Private Label Credit Step 1: Performance Gap Analysis Performance  Key Performance Metric vs. Peer Group % of Store Customers w/ Store Card Line of Credit per Cardholder Utilization Rate (balance/credit limit) “Gross Profit Yield on Balances” Impact on Store Profits (extra boost) Total profit per card (annual, lifetime) Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 21
  • 22. It is hard to compete without the analytics layer Plan: Business Goal Insights Required Missing Analytics Layer Data Tools, Technology, People, and Processes Act: Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 22
  • 23. Step 2: Groundwork for Analytics Capability Basic pre‐conditions to analytics excellence…  Data Quality  Data Integration  Customer Profitability  Analytics Data Mart Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 23
  • 24. Step 3: Proof of Concept (‘”It’s Valuable”) The first 3 analytic wins proved the value….  Credit Line Decision Rules (Profit Lift = 14 %)  Credit Approval Models (Profit Lift = 10%)  Marketing ROI  (Efficiency Gain = 30%) Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 24
  • 25. The “Long Pass” analogy In Analytics, what is the “cost of an interception?” Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 25
  • 26. Step 4: Scale & Sustainability (1 FTE to 10 FTE) Analytics Governance Board Strategy Request Management System Data Gov. IT  Project Portfolio Management Governance Project 1 Project 2 Project 3 Project 4 Profits quintupled, sustainable growth trajectory Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 26
  • 27. Case Study: “Lean Startup” Governance Realities Implications for Governance  “Process overhead” considered  Budget Constraints untenable…  Adds speed and agility… Rapid‐cycle work‐styles  …but increases risk of mistakes…  …and lost knowledge…  THIS is where the team realises how  “Rework” a big risk much they NEED documentation Key solution 2. Govern the  3. In‐Code  1. Causal  elements: Info‐Product  “Knowledge  Clarity Portfolio Drops” Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 27
  • 30. Key Data Source: Billions of Real Spending Records Unlike other merchant listing sites, our content is based on real credit card  spending by 20 million households Key Issues with this Data: Example: Credit Card Statement Data 1. Credit card data lacks  merchant identifier 2. Depend on text analytics to  associate transactions with  merchants Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 30
  • 31. Key Steps in “Refinement” (Transformation) Transformed  To Create New  Old Data in New Ways Features Such As… Card Transaction  Normalization People Who Shop  Data Here Also Like… Clustering Merchant Listings The Bundle Loyalty  (e.g., Address, Phone  Score Number, Business Type) Linking Data‐Driven  Other Data:  Reviews From an  Census, Bureau of Labor  Aggregation Array of Customer  Statistics, User Feedback Segments Analytics: Governance of the Transformation of Data to Dollars         © 2012 Fitzgerald Analytics, Inc. All Rights Reserved 31