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EFFECTIVE DATA GOVERNANCE TO ENABLE
CUSTOMER INTELLIGENCE
Gary Allemann
Master Data Management
@mdm_za
A moving target
New sources of data are extremely important
to delivering customer intelligence.
• Transactional systems
• Omni-channel interactions for the customer journey
• Unstructured internal data from PDFs and documents
• External unstructured data
Where is the data?
80% of data is unstructured.
• Demographics
• Relationships
• Interactions
• Sentiment
• The customer journey….
Where is the data?
Or just missing….
• Is it in the CRM?
• Does it come from billing?
• What products do they use?
• What about all the channels
• It’s overwhelming….
Can I trust the insights?
Am I allowed to use the data?
The data subject has rights.
• Right to fair use
• Right to disclosure
• Right to be forgotten
How do we answer these questions?
1. Set up a governance plan
• Who?
• Why?
• Ethics?
• Policies
• “privacy by design”
2. Define data collection policies
• Which data?
• Who needs it?
• For what?
3. Vet and cleanse your data
4. Resolve to a single identity
5. Turn data into intelligence
6. Act against that intelligence
7. Stay up to date
8. Optimise and extend
Data Architecture
Metadata/Data Modelling
Data Security
Data
Integration
MDM/ReferenceData
DataQuality
DataGovernance
Analytics
DataWarehouse
BigData
Business
Intelligence
Business-driven
Our EIM Framework
Questions?
www.masterdata.co.za
+27114854856

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Effective data governance for customer intelligence

  • 1. EFFECTIVE DATA GOVERNANCE TO ENABLE CUSTOMER INTELLIGENCE Gary Allemann Master Data Management @mdm_za
  • 2. A moving target New sources of data are extremely important to delivering customer intelligence. • Transactional systems • Omni-channel interactions for the customer journey • Unstructured internal data from PDFs and documents • External unstructured data
  • 3. Where is the data? 80% of data is unstructured. • Demographics • Relationships • Interactions • Sentiment • The customer journey….
  • 4. Where is the data? Or just missing…. • Is it in the CRM? • Does it come from billing? • What products do they use? • What about all the channels • It’s overwhelming….
  • 5. Can I trust the insights?
  • 6. Am I allowed to use the data? The data subject has rights. • Right to fair use • Right to disclosure • Right to be forgotten
  • 7. How do we answer these questions?
  • 8. 1. Set up a governance plan • Who? • Why? • Ethics? • Policies • “privacy by design”
  • 9. 2. Define data collection policies • Which data? • Who needs it? • For what?
  • 10. 3. Vet and cleanse your data
  • 11. 4. Resolve to a single identity
  • 12. 5. Turn data into intelligence
  • 13. 6. Act against that intelligence
  • 14. 7. Stay up to date
  • 15. 8. Optimise and extend
  • 16. Data Architecture Metadata/Data Modelling Data Security Data Integration MDM/ReferenceData DataQuality DataGovernance Analytics DataWarehouse BigData Business Intelligence Business-driven Our EIM Framework

Editor's Notes

  • #9: Privacy by design IT. Legal, marketing, security