Stop the Madness!Never doubt the quality of BI again usingData GovernanceMary Levins, PMPApril 18, 2013
About 3sage ConsultingConsultant-owned firm of proven, tenured consultants specializing inInformation ManagementOur People...
Topics• BI Governance vs Governance of BI Data• Why is Data Governance Important for BI?• Data Governance Framework• Data ...
BI Governance vs Data Governance• BI Governance– governing activities in a BI environment– project oriented (defined begin...
• Data is the Foundation and must be managed to run, improve, and expandthe businessRaw Data To Meaningful Information- De...
• Data is the Foundation and must be managed to run, improve, andexpand the businessDiscrete factsDefinitionFormatRelevanc...
Breakout Discussion Points• What are your biggest data related challengesimpacting your BI initiatives?• What level of dat...
Common Business Concerns related toBad Data8I have to makeassumptionson the data touseThere aremultipleanswers to thesame ...
DATA GOVERNANCE FRAMEWORK
Data Governance MaturityWhere is your organization?• High level ofdependency on"Tribal Knowledge"across theorganization• D...
Benefits of Data Governance• Increase Revenue– Business Growth• Reduce Costs– Protect the investments in new initiatives (...
Data Governance is an Integrated discipline for assessing, managing, using,improving and protecting data for the strategic...
DATA GOVERNANCE IN ACTION
Siebel®Single IntegratedArchitectureWorldwideNew World: Integrated data Real-time Schedule - 24-hourclock Global One ...
ProcurementRequestor orEmployeeCentral VendorAdministratorSupplierEmployeeAccountsPayableOperationsBuyerTechnologyHigh-Lev...
ProcurementRequestor orEmployeeCentral VendorAdministratorSupplierEmployeeAccountsPayableOperationsBuyerTechnologyHigh-Lev...
Business Impactof Reducing Rejected Supplier Setup RequestsWhat is the impact of reducing rejected setup requests?• Decrea...
Lessons Learned• Data governance can influence common processes through DataStandards and rules• Established controls will...
Future Challenges• Technology Changes are driving a greater need forData Governance– How do we maintain trusted and secure...
Your Enterprise Knows More Than It’s Telling You….3sage can lend a hand.
Sponsors
Upcoming SlideShare
Loading in …5
×

Stop the madness - Never doubt the quality of BI again using Data Governance

563 views
455 views

Published on

Does this sound familiar? "Are you sure those numbers are right?" "Why are your numbers different than theirs?"
We've all heard it and had that gut wrenching feeling of doubt that comes with uncertainty around the quality of the numbers.
Stop the madness! Presented in Dunwoody on April 18 by industry leading expert Mary Levins who discusseses what it takes to successfully take control of your data using the Data Governance Framework. This framework is proven to improve the quality of your BI solutions.

Published in: Business
0 Comments
3 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
563
On SlideShare
0
From Embeds
0
Number of Embeds
17
Actions
Shares
0
Downloads
0
Comments
0
Likes
3
Embeds 0
No embeds

No notes for slide

Stop the madness - Never doubt the quality of BI again using Data Governance

  1. 1. Stop the Madness!Never doubt the quality of BI again usingData GovernanceMary Levins, PMPApril 18, 2013
  2. 2. About 3sage ConsultingConsultant-owned firm of proven, tenured consultants specializing inInformation ManagementOur People• “Big Firm” Talent, each with 10-20 years experience in Information Management• Proven success to bring business value & context to every data initiative• Capability to execute all phases (strategy -> delivery) of large-scale data programs and projectsDeliver Results• Our consultants deep business acumen and technical expertise is crucial to design the rightsolution.• Our consultants have substantial breadth across multiple Information Management disciplines,but significant depth in at least one core competency.• 3sage is focused in Atlanta – each initiative is paramount as our business depends on it and ourconsultants live here with our clients.4
  3. 3. Topics• BI Governance vs Governance of BI Data• Why is Data Governance Important for BI?• Data Governance Framework• Data Governance in Action and LessonsLearned• Future Challenges
  4. 4. BI Governance vs Data Governance• BI Governance– governing activities in a BI environment– project oriented (defined beginning and end, and defined scope andresources)• Data Governance– applying data governance disciplines across the enterprise– Program oriented (group of related projects with strategic goals)Data Governance is an Integrated discipline forassessing, managing, using, improving and protectingdata for the strategic benefit of the organization
  5. 5. • Data is the Foundation and must be managed to run, improve, and expandthe businessRaw Data To Meaningful Information- Depends on Quality DataInsightKnowledgeInformationDataDiscrete factsDefinitionFormatGrowthStrategic DirectionBusiness ValueValueInferencePredictiveDecision-makingPatternsTrendsRelationshipsAssumptionsNecessary for theBusiness = DataAssetOperationalIntelligence to Runthe businessAnalytical Intelligenceto Improve theBusinessStrategic andPredictive Intelligenceto Expand theBusinessIsKnowledgeReallyPower?
  6. 6. • Data is the Foundation and must be managed to run, improve, andexpand the businessDiscrete factsDefinitionFormatRelevanceGrowthBusiness ValueValueInferencePatternsTrendsRelationshipsNecessary for theBusinessOperational to run thebusinessAnalytical to Improvethe BusinessStrategic and PredictiveInsight to Expand theBusinessIsKnowledgeReallyPower?Raw Data To Meaningful Information- Depends on Quality Data
  7. 7. Breakout Discussion Points• What are your biggest data related challengesimpacting your BI initiatives?• What level of data governance maturity doyou think your organization is?
  8. 8. Common Business Concerns related toBad Data8I have to makeassumptionson the data touseThere aremultipleanswers to thesame questionThere are noclearconsistentdefinitionsWe havemultipleversions of thetruthI have toreconcile andrestate metricsYou have tohave a lot offriends to getwhat you needData doesn’t killbusiness, it’sthe use of thedata that killsWe need acommon way tolook at criticalmetricsI have noconfidence in thedata or existingreports
  9. 9. DATA GOVERNANCE FRAMEWORK
  10. 10. Data Governance MaturityWhere is your organization?• High level ofdependency on"Tribal Knowledge"across theorganization• Data is created onan as needed basiswith no or fewrules/standards• Ownership and/orstewardship modelsare undefined• Data quality issuesare addressed afterthey occur(reactive)• Decision makingdependent onconsensus and/ormultiple systems• Heroic culture(performancemeasured by"fixing" problems)• No Active DataGovernanceStrategy• Data Projects onneed basis• Governance programhas been implementedat an enterprise level• Metadatamanagement and datastandards are in placeacross the enterprise• Data standardsprocesses are in place• Proactive monitoringfor data qualitycontrols feeds into thegovernance program• Governance policies areused to set, communicate,and enforce business andIT informationmanagement• Governance is secondnature throughout theenterprise• Agility and responsivenessis greatly increased due toa single unified view ofenterprise data• Enterprise data governanceenables high-qualityinformation sharing acrossall divisionsAware Reactive Proactive Managed Innovative• Leadership isaware of theimportance ofData Governanceand the impact onthe performanceof theorganization.• Enterprise DataGovernanceorganizationalstructure definedand sponsoredLevel 1 Level 2 Level 3 Level 4 Level 5
  11. 11. Benefits of Data Governance• Increase Revenue– Business Growth• Reduce Costs– Protect the investments in new initiatives (BI/ ERP)– Improve Efficiencies– Simplification• Minimize Risk (compliance, security, privacy)– Liability and Fraud– Compliance to internal standards, policies, guidelines
  12. 12. Data Governance is an Integrated discipline for assessing, managing, using,improving and protecting data for the strategic benefit of the organizationData Governance FrameworkKey Disciplines and Sub-disciplines11. Technologies• Workflow Routing Tools• Collaboration Tools• DQ Tools12. Infrastructure1. Data Governance Organization2. Data Stewards3. Policies and Procedures4. Data Quality and Compliance5. Data Quality Assurance6. Information Lifecycle Management7. Data Privacy and Risk Management8. Meta-data Management9. Data ModelProcessDataTechnologyPeopleThe Data Governance process covers the people, process, technology, and data disciplines to ensurea holistic solution is designedChangeManagement
  13. 13. DATA GOVERNANCE IN ACTION
  14. 14. Siebel®Single IntegratedArchitectureWorldwideNew World: Integrated data Real-time Schedule - 24-hourclock Global One instance2128 instances of 887 applicationsOld World: Data and processes customized to fit business,geography or application Interfaces helped customize data for downstreamapplications Separate silos maintaining data Each instance controlled their own scheduleA Global Integrated Solution requires an IntegratedApproach for Managing Data & ProcessesSAPDATA GOVERNANCE DRIVER
  15. 15. ProcurementRequestor orEmployeeCentral VendorAdministratorSupplierEmployeeAccountsPayableOperationsBuyerTechnologyHigh-Level Information Life Cycle – With Non-Quality DataSubmit requestfor suppliermaster recordto be set up.RequestOK?Request tool OracleReviewrequestCreate suppliermaster record inOracle.ReceivepaymentReceivereimbursementProcessInvoicePaymentProcessEmployeereimbursementsPlace orderwith supplierReceiveorderSend requestto authorizingagent.Review andapproverequest.Manager orAuthorizingAgentReceive notificationthat supplier setup iscomplete.Typecompletion infointo SARS.SARSNoFrompreviouspageCVA rejectsrequest inSARSReceivereject noticeReceivereject noticeSupportContactReceive request toinvestigate rejectionissue (email, phone,BLT, etc)InvestigaterejectionissueInvestigaterejectionissueInvestigaterejectionissueInvestigaterejectionissueResolverejectionissueResolverejectionissueResolverejection issueor notificationof resolutionResolverejectionissueImpact to request process:• Additional rework• Time delay in completing business txn• Extra resources• Duplication of effort
  16. 16. ProcurementRequestor orEmployeeCentral VendorAdministratorSupplierEmployeeAccountsPayableOperationsBuyerTechnologyHigh-Level Information Life Cycle – With Good DataSubmit requestfor suppliermaster recordto be set up.RequestOK?Request tool OracleReviewrequestCreate suppliermaster record inOracle.ReceivepaymentReceivereimbursementYesProcessInvoicePaymentProcessEmployeereimbursementsPlace orderwith supplierReceiveorderSend requestto authorizingagent.Review andapproverequest.Manager orAuthorizingAgentReceive notificationthat supplier setup iscomplete.Typecompletion infointo SARS.SARSNoSeenextpage
  17. 17. Business Impactof Reducing Rejected Supplier Setup RequestsWhat is the impact of reducing rejected setup requests?• Decreased or no time delay in placing orders to suppliers, paying supplier invoices, andreimbursing employees for expenses. How did this slow down a product introduction?Shipments? Contracts? Take to another level of detail.• Reduced rework by employee (reject the request, ensure investigation and resolution, re-review updated request).• Reduced rework by requestor who submitted the original request (to investigate andresubmit).• Reduced rework by support employee (to investigate and resolve).• No frustrated employees• No frustrated suppliers, many of whom are also Agilent customers.• No loss of service to the company because payment has not been made.Thanks for thetimely payment!Thanks for thetimelyreimbursement!
  18. 18. Lessons Learned• Data governance can influence common processes through DataStandards and rules• Established controls will minimize exceptions and rework resulting ingreater efficiencies• A defined organization structure will help business owners/ partners todefine and maintain business requirements• Data governance can leverage & tighten linkage between Business, IT, andother Enterprise teams• Consolidation and communication of data and business rules into anenterprise location helps to drive quality across the enterprise– Change Management Process– Collaboration
  19. 19. Future Challenges• Technology Changes are driving a greater need forData Governance– How do we maintain trusted and secure informationin these new environments• Listen to Books and Read our Cell Phones• Play music on our TV’s and watch movies on Computers• Data Explosion – data growth is predicted to be 44times by 2020– How do we share and synchronize so much datainternally and externally?• Culture and Communication Changes– Innovation can only occur in an Inclusive Culture– New language of texting acronyms (OMG!)
  20. 20. Your Enterprise Knows More Than It’s Telling You….3sage can lend a hand.
  21. 21. Sponsors

×