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BI & ECM

           A Shotgun Marriage?"

Independent. Detailed. Practical.
      Specific advice. Best-practice approaches. The Real Story.!


                                                          Alan Pelz-Sharpe!
                                                 Twitter: @realstorygroup !
                                                 aps@realstorygroup.com   !
Real Story Group: Introduction



Analyze strengths
and weaknesses
of the tools....and
vendors



Advise on successful
technology selection




                                    Buyer s Advocate, Independent
Copyright © 2011 Real Story Group                                   www.realstorygroup.com
Real Story Group: What We Do




Copyright © 2011 Real Story Group   4   www.realstorygroup.com
Copyright © 2011 Real Story Group   www.realstorygroup.com
Practicality




                                    Desire


Copyright © 2011 Real Story Group                           www.realstorygroup.com
Why Measure



        •  We need to control our business - otherwise our
           business will control us
        •  The only way we can control our business is to adjust
           our operations to meet pre-determined standards -
           the basis of the standards and means of control is
           business information
        •  Hence to be able to control an organisation one
           needs information regarding performance standards
           and actual performance
        •  Having the correct information (data) is essential to
           measure performance and expectations accurately



Copyright © 2011 Real Story Group                         www.realstorygroup.com
Why Measure? cont



    •  Managers within the business need to decide on:
            –    What information they will need
            –    How they will gather that information
            –    How they will use the information
            –    How they will respond to the information
    •  To repeat - having the right information is essential,
       therefore managers will have to decide on which (to use):
            –  Standards
            –  Measurements
            –  Metrics
    •  Measuring business performance is the key to controlling
       productivity, efficiency and profitability


Copyright © 2011 Real Story Group                           www.realstorygroup.com
Measure to….



    •     Find out how you are using your resources (effectively or not?)
    •     Monitor Trends
    •     Find out the causes of errors and ongoing problems
    •     Identify areas for improvement
    •     Monitor progress
    •     Provide information to set realistic goals




Copyright © 2011 Real Story Group                                    www.realstorygroup.com
Controls




          Feed-Forward              Concurrent     Feedback



             Anticipating           Solving       Solving
             Problems in            Problems as   Problems after
             Advance                They Occur    They Occur

Copyright © 2011 Real Story Group                         www.realstorygroup.com
Feed-Forward



    •  Controls that attempt to identify and prevent
       problems before they occur
            –  Sometimes known as Preventative Controls
    •  Focuses on the resources that come into the
       organization: Human, Data, Financial etc
    •  For example: Scanning documents correctly at
       source and extracting data from the scanned
       image - will likely prevent many more complex
       issues down the line



Copyright © 2011 Real Story Group                         www.realstorygroup.com
Concurrent



    •  Controls that monitor ongoing activities
    •  Relying heavily on performance standards, rules
       and regulations
    •  Monitoring where possible in real time
    •  For example: BPM dashboards that monitor
       ongoing business processes - down to task and
       instance level




Copyright © 2011 Real Story Group               www.realstorygroup.com
Feedback



    •  Controls that focus on the organizations output
            –  Sometimes called Output Control
    •  Feedback controls typically measure:
            –  Financials
            –  Output Quality
    •  Financial measurements to ensure profitability
       etc
    •  Quality inspections of produced goods - or
       alternatively customer satisfaction
    •  (Feedback controls are the most common of the three)


Copyright © 2011 Real Story Group                     www.realstorygroup.com
Feedback Control Model




                                                  Feedback

               Build                    Set        Measure       Compare        Take
             Strategic              Performance      Actual     Performance   Corrective
              Goals                  Standards    Performance   To Standard    Action




                                                  Feedback




Copyright © 2011 Real Story Group                                             www.realstorygroup.com
Establishing a Feedback Loop



    1.  Relate feedback to individuals
    2.  Make the feedback an obligation
    3.  Encourage positive and negative feedback
    4.  Use continuous feedback for continous
        improvement
    5.  Avoid the old proverb no news is good news
    6.  Encourage customer complaints
    7.  Give responsibility to take immediate action



                                     Source: H. James Harrington
Copyright © 2011 Real Story Group                    www.realstorygroup.com


Types of Measurement

         Data"
Measurement Data




                                    Attribute       Variable
                                      Data           Data
                                    Yes/No          How Many?
                                    Go/Stop         How Good?
                                    Accept/Reject




Copyright © 2011 Real Story Group                               www.realstorygroup.com
Attribute Versus Variable



    •  Attribute                        •  Variable
            –  Were there any errors?      –  How many errors per
                                              batch?
            –  Is the group over           –  What is the size of the
               budget?                        variance between budget
            –  Was the work                   and spend?
               completed on time?          –  What was the variance
                                              between the planned
                                              completion date and the
                                              actual completion date?




Copyright © 2011 Real Story Group                             www.realstorygroup.com
Attribute Versus Variable

        •  Example: 10,000 Credit Card Applications are expected to be
           processed per week:



                                                    3500


                                                    3000


                    10%                             2500


                                                    2000
                                    Processed                                                     Processed
                                    Not Processed                                                 Approved
                                                    1500                                          Rejected
                              90%
                                                                                                  Not Processed
                                                    1000


                                                     500


                                                       0
                                                           1   2   3   4   5   6          7




Analysis using attribute data                       Analysis using variable data

Copyright © 2011 Real Story Group                                                  www.realstorygroup.com
Effective Measurements



    •  Timeliness
            –  Time taken to find information
            –  Time taken to respond to query
            –  Time taken to complete a task or process
    •  Accuracy
            –  Correct version of document
            –  Number of errors
            –  Number of changes to document
            –  Number of customer complaints


Copyright © 2011 Real Story Group                         www.realstorygroup.com
Efficiency Measurements



    •  Throughput
            –  How many cases processed
            –  How many documents scanned
    •  Utilization
            –  How many manhours per transaction
            –  Server utilization %
    •  Cost reduction
            –  Cost per completed transaction
            –  Time to complete a form
            –  How much time on non-value added steps


Copyright © 2011 Real Story Group                       www.realstorygroup.com
Using Data to Increase Efficiency - Reporting



    •  Summarizing measurement output (statistics) is a powerful way to
       quickly focus on problem areas - making a mass of data intelligible
    •  By summarizing and pulling information together in a digestible
       format we can enhance decision making, provide insight into
       complexity and reduce risk




Copyright © 2011 Real Story Group                                  www.realstorygroup.com
Search Landscape




                                      Oracle SES

                                    Endeca
                                                                   Vivisimo
                                                                 Exalead
               Autonomy              IBM - OmniFind
                                                        Lucene   DTSearch

                                     Microsoft - FAST
                                                                  Recommind



                           SAP




Copyright © 2011 Real Story Group                                    www.realstorygroup.com
BI Landscape




Copyright © 2011 Real Story Group   www.realstorygroup.com
Copyright © 2011 Real Story Group   www.realstorygroup.com
Database
                                      Data

                                                Text Files
                                        XML
                                                      Structured
                                                      Documents
                                               CAD
                                                             Audio



                                                         Video



Copyright © 2011 Real Story Group                                    www.realstorygroup.com
Data in
                       Intelligence
                                      Isolation   Analytics

                         Querying
                                              Predictions
                          OLAP
                                               Statistics
                          Alerts
                                              Optimization

                                        Context
                         Reporting




Copyright © 2011 Real Story Group                             www.realstorygroup.com
ECM & BI


                                    •  BPM
                                    •  Rules
                                    •  Analytics




Copyright © 2011 Real Story Group       www.realstorygroup.com
Storage volumes by data type




Copyright © 2011 Real Story Group   www.realstorygroup.com
Estimated Documents in eMail Systems




            1.6E+09

            1.4E+09

            1.2E+09

              1E+09

         800000000

         600000000

         400000000

         200000000

                   0
                                    Documents in Exchange   Documents in PST Files




         Total number of documents in eMail: 1,464,193,395

Copyright © 2011 Real Story Group                             30                     www.realstorygroup.com
Estimated Documents in Shared Folders



        1.4E+11


        1.2E+11


          1E+11


          8E+10


          6E+10


          4E+10


          2E+10


               0
                        Documents in Shared Files   Documents in Exchange        Documents in PST Files



            Total number of documents: 33,318,534,175

Copyright © 2011 Real Story Group                                           31                            www.realstorygroup.com
Copyright © 2011 Real Story Group   www.realstorygroup.com
•  Search is still not Business Intelligence. As much as search
       vendors have been claiming that they're moving into BI, and as much
       as new search vendors are starting to claim their software actually
       does BI, integrates with BI, or provides BI, search software still is not
       BI software. A keyword search, a faceted search, or even an
       executive dashboard may indicate performance, but that's not the
       same as actually measuring your key performance indicators.




Copyright © 2011 Real Story Group                                    www.realstorygroup.com
Copyright © 2011 Real Story Group   www.realstorygroup.com
Thank you!


         •  Please visit our web site: realstorygroup.com
                  –    One-on-one analyst advice
                  –    Vendor/product evaluations
                  –    Analyst advisory papers
                  –    Webinars
                  –    Education courses

         Download a free research sample:
         www.realstorygroup.com/Sample


         Follow us on Twitter: @realstorygroup
         Contact me at aps@realstorygroup.com

Copyright © 2011 Real Story Group                   www.realstorygroup.com

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Bi ecm a_shotgun_wedding

  • 1. BI & ECM
 A Shotgun Marriage?" Independent. Detailed. Practical. Specific advice. Best-practice approaches. The Real Story.! Alan Pelz-Sharpe! Twitter: @realstorygroup ! aps@realstorygroup.com !
  • 2. Real Story Group: Introduction Analyze strengths and weaknesses of the tools....and vendors Advise on successful technology selection Buyer s Advocate, Independent Copyright © 2011 Real Story Group www.realstorygroup.com
  • 3. Real Story Group: What We Do Copyright © 2011 Real Story Group 4 www.realstorygroup.com
  • 4. Copyright © 2011 Real Story Group www.realstorygroup.com
  • 5. Practicality Desire Copyright © 2011 Real Story Group www.realstorygroup.com
  • 6. Why Measure •  We need to control our business - otherwise our business will control us •  The only way we can control our business is to adjust our operations to meet pre-determined standards - the basis of the standards and means of control is business information •  Hence to be able to control an organisation one needs information regarding performance standards and actual performance •  Having the correct information (data) is essential to measure performance and expectations accurately Copyright © 2011 Real Story Group www.realstorygroup.com
  • 7. Why Measure? cont •  Managers within the business need to decide on: –  What information they will need –  How they will gather that information –  How they will use the information –  How they will respond to the information •  To repeat - having the right information is essential, therefore managers will have to decide on which (to use): –  Standards –  Measurements –  Metrics •  Measuring business performance is the key to controlling productivity, efficiency and profitability Copyright © 2011 Real Story Group www.realstorygroup.com
  • 8. Measure to…. •  Find out how you are using your resources (effectively or not?) •  Monitor Trends •  Find out the causes of errors and ongoing problems •  Identify areas for improvement •  Monitor progress •  Provide information to set realistic goals Copyright © 2011 Real Story Group www.realstorygroup.com
  • 9. Controls Feed-Forward Concurrent Feedback Anticipating Solving Solving Problems in Problems as Problems after Advance They Occur They Occur Copyright © 2011 Real Story Group www.realstorygroup.com
  • 10. Feed-Forward •  Controls that attempt to identify and prevent problems before they occur –  Sometimes known as Preventative Controls •  Focuses on the resources that come into the organization: Human, Data, Financial etc •  For example: Scanning documents correctly at source and extracting data from the scanned image - will likely prevent many more complex issues down the line Copyright © 2011 Real Story Group www.realstorygroup.com
  • 11. Concurrent •  Controls that monitor ongoing activities •  Relying heavily on performance standards, rules and regulations •  Monitoring where possible in real time •  For example: BPM dashboards that monitor ongoing business processes - down to task and instance level Copyright © 2011 Real Story Group www.realstorygroup.com
  • 12. Feedback •  Controls that focus on the organizations output –  Sometimes called Output Control •  Feedback controls typically measure: –  Financials –  Output Quality •  Financial measurements to ensure profitability etc •  Quality inspections of produced goods - or alternatively customer satisfaction •  (Feedback controls are the most common of the three) Copyright © 2011 Real Story Group www.realstorygroup.com
  • 13. Feedback Control Model Feedback Build Set Measure Compare Take Strategic Performance Actual Performance Corrective Goals Standards Performance To Standard Action Feedback Copyright © 2011 Real Story Group www.realstorygroup.com
  • 14. Establishing a Feedback Loop 1.  Relate feedback to individuals 2.  Make the feedback an obligation 3.  Encourage positive and negative feedback 4.  Use continuous feedback for continous improvement 5.  Avoid the old proverb no news is good news 6.  Encourage customer complaints 7.  Give responsibility to take immediate action Source: H. James Harrington Copyright © 2011 Real Story Group www.realstorygroup.com
  • 16. Measurement Data Attribute Variable Data Data Yes/No How Many? Go/Stop How Good? Accept/Reject Copyright © 2011 Real Story Group www.realstorygroup.com
  • 17. Attribute Versus Variable •  Attribute •  Variable –  Were there any errors? –  How many errors per batch? –  Is the group over –  What is the size of the budget? variance between budget –  Was the work and spend? completed on time? –  What was the variance between the planned completion date and the actual completion date? Copyright © 2011 Real Story Group www.realstorygroup.com
  • 18. Attribute Versus Variable •  Example: 10,000 Credit Card Applications are expected to be processed per week: 3500 3000 10% 2500 2000 Processed Processed Not Processed Approved 1500 Rejected 90% Not Processed 1000 500 0 1 2 3 4 5 6 7 Analysis using attribute data Analysis using variable data Copyright © 2011 Real Story Group www.realstorygroup.com
  • 19. Effective Measurements •  Timeliness –  Time taken to find information –  Time taken to respond to query –  Time taken to complete a task or process •  Accuracy –  Correct version of document –  Number of errors –  Number of changes to document –  Number of customer complaints Copyright © 2011 Real Story Group www.realstorygroup.com
  • 20. Efficiency Measurements •  Throughput –  How many cases processed –  How many documents scanned •  Utilization –  How many manhours per transaction –  Server utilization % •  Cost reduction –  Cost per completed transaction –  Time to complete a form –  How much time on non-value added steps Copyright © 2011 Real Story Group www.realstorygroup.com
  • 21. Using Data to Increase Efficiency - Reporting •  Summarizing measurement output (statistics) is a powerful way to quickly focus on problem areas - making a mass of data intelligible •  By summarizing and pulling information together in a digestible format we can enhance decision making, provide insight into complexity and reduce risk Copyright © 2011 Real Story Group www.realstorygroup.com
  • 22. Search Landscape Oracle SES Endeca Vivisimo Exalead Autonomy IBM - OmniFind Lucene DTSearch Microsoft - FAST Recommind SAP Copyright © 2011 Real Story Group www.realstorygroup.com
  • 23. BI Landscape Copyright © 2011 Real Story Group www.realstorygroup.com
  • 24. Copyright © 2011 Real Story Group www.realstorygroup.com
  • 25. Database Data Text Files XML Structured Documents CAD Audio Video Copyright © 2011 Real Story Group www.realstorygroup.com
  • 26. Data in Intelligence Isolation Analytics Querying Predictions OLAP Statistics Alerts Optimization Context Reporting Copyright © 2011 Real Story Group www.realstorygroup.com
  • 27. ECM & BI •  BPM •  Rules •  Analytics Copyright © 2011 Real Story Group www.realstorygroup.com
  • 28. Storage volumes by data type Copyright © 2011 Real Story Group www.realstorygroup.com
  • 29. Estimated Documents in eMail Systems 1.6E+09 1.4E+09 1.2E+09 1E+09 800000000 600000000 400000000 200000000 0 Documents in Exchange Documents in PST Files Total number of documents in eMail: 1,464,193,395 Copyright © 2011 Real Story Group 30 www.realstorygroup.com
  • 30. Estimated Documents in Shared Folders 1.4E+11 1.2E+11 1E+11 8E+10 6E+10 4E+10 2E+10 0 Documents in Shared Files Documents in Exchange Documents in PST Files Total number of documents: 33,318,534,175 Copyright © 2011 Real Story Group 31 www.realstorygroup.com
  • 31. Copyright © 2011 Real Story Group www.realstorygroup.com
  • 32. •  Search is still not Business Intelligence. As much as search vendors have been claiming that they're moving into BI, and as much as new search vendors are starting to claim their software actually does BI, integrates with BI, or provides BI, search software still is not BI software. A keyword search, a faceted search, or even an executive dashboard may indicate performance, but that's not the same as actually measuring your key performance indicators. Copyright © 2011 Real Story Group www.realstorygroup.com
  • 33. Copyright © 2011 Real Story Group www.realstorygroup.com
  • 34. Thank you! •  Please visit our web site: realstorygroup.com –  One-on-one analyst advice –  Vendor/product evaluations –  Analyst advisory papers –  Webinars –  Education courses Download a free research sample: www.realstorygroup.com/Sample Follow us on Twitter: @realstorygroup Contact me at aps@realstorygroup.com Copyright © 2011 Real Story Group www.realstorygroup.com