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Governance as a "painkiller": A Business First Approach to Data Governance

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Traditional data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves data management and governance leaders having to continually make the case for data governance to secure business adoption. In this presentation, we share a lean, business-first data governance approach that connects key initiatives to governance capabilities and quickly delivers business value for the long term.

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Governance as a
“painkiller”
A Business-First Approach to Data Governance
Sam Darmo – Senior Sales Engineer
The global leader in data in action
Trust your data. Build your possibilities.
Our data integrity software and data enrichment products
deliver accuracy and consistency to power confident
business decisions.
Brands you trust, trust us
Data leaders partner with us
of the Fortune 100
99
Customers in more than
100
2,500
employees
customers
12,000
countries
Data integrity is…
data with maximum
accuracy, consistency,
and context for confident
business decision-making
Data
Integrity
LOCATION
QUALITY
GOVERNANCE
ENRICHMENT INTEGRATION
Your unique data
integrity journey
will reflect your
business
needs
Data
Integrity
Data integrity
is a journey
• Every journey to data integrity is unique and driven
by business initiatives
• Market trends are accelerating the need for data
integrity
• Precisely addresses needs across the data integrity
journey
The Precisely Data Integrity Suite
unites the steps to data integrity
that unlock incremental value
Governance as a “painkiller”
How to Build “Business-First” Data
Governance?
What is the challenge?
• Business has a goal in mind
• IT who manage data have systems
• How do we bring them together?
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Governance as a "painkiller": A Business First Approach to Data Governance

  • 1. Governance as a “painkiller” A Business-First Approach to Data Governance Sam Darmo – Senior Sales Engineer
  • 2. The global leader in data in action Trust your data. Build your possibilities. Our data integrity software and data enrichment products deliver accuracy and consistency to power confident business decisions. Brands you trust, trust us Data leaders partner with us of the Fortune 100 99 Customers in more than 100 2,500 employees customers 12,000 countries
  • 3. Data integrity is… data with maximum accuracy, consistency, and context for confident business decision-making Data Integrity
  • 4. LOCATION QUALITY GOVERNANCE ENRICHMENT INTEGRATION Your unique data integrity journey will reflect your business needs Data Integrity Data integrity is a journey • Every journey to data integrity is unique and driven by business initiatives • Market trends are accelerating the need for data integrity • Precisely addresses needs across the data integrity journey The Precisely Data Integrity Suite unites the steps to data integrity that unlock incremental value
  • 5. Governance as a “painkiller” How to Build “Business-First” Data Governance?
  • 6. What is the challenge? • Business has a goal in mind • IT who manage data have systems • How do we bring them together?
  • 7. “We need to govern our data!” A Typical Governance Story LEADERSHIP DATA GOVERNANCE TEAM BUSINESS USERS DATA GOVERNANCE TEAM BUSINESS USERS LEADERSHIP INCITING EVENT Governance spends more time fighting data fires Business quickly loses interest; stops attending meetings Program investment is deprioritized Asked to help with definitions, approvals, and ownership Team is tasked with putting program in place Exec calls for a data governance program “We need to get the business involved!” “How does this help me do my job?” “We’re spending a lot more time fighting data fires. We need more meetings…” “These meetings are a waste of time!” “I’m not seeing the ROI”
  • 8. Successful programs link Data Governance to business goals
  • 9. Business goals inform your steps Data to minimize risk Data to deliver insights Data to run the business REPORTING & COMPLIANCE ANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE Data protection Risk and fraud Privacy Safety Regulatory compliance Internal reporting Net Promoter Score Website traffic Targeted marketing Customer retention Buying patterns Customer 360° view Optimize working capital Enhance customer care Facilitate M&A Lower operating expenses Increase service levels Reduce attrition
  • 10. How data drives Financial Services Data to minimize risk Data to deliver insights Data to run the business REPORTING & COMPLIANCE ANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE Data protection Risk and fraud Privacy Safety Regulatory compliance Internal reporting Net Promoter Score Website traffic Targeted marketing Customer retention Buying patterns Customer 360° view Optimize working capital Enhance customer care Facilitate M&A Lower operating expenses Increase service levels Reduce attrition
  • 11. Mapping data governance to business value Goal Org Stakeholders Expected Outcomes DG Objective DG Capabilities Improve personalization of customer products and services • Marketing • Sales • Finance • Increase NPS by 5% • 17%+ repeat customer purchases • 11% reduced churn • Establish a common view of trusted customer data assets • Data Catalog • Data Lineage • Approval Workflow • Data Integrity rules Accurate and timely credit-risk analysis • Underwriting • Loan office • Finance • 10% reduction in expected loss • 20% lower Probability of Default • Establish stage gates, rules, policies, and quality measures across credit risk analysis process • Analytics governance • Model analysis • Data quality metrics Increase user productivity by improving time-to- insights • Business Analytics • IT • Data Office • Improve decision- accuracy by 22% • Reduce time-to-insight by 45% • Launch data literacy campaign across business data SMEs • Data lineage • Data Catalog • Automated workflow Mitigate risk and facilitate regulatory compliance and reporting • Compliance Office • Finance • IT • 10% improvement to Reputation Index • 15% reduction in regulatory fines and settlements • Establish risk and control framework for regulatory drivers • PII detection • Data monitoring • Access control
  • 12. Governance as a “painkiller” and “vitamin” Goal DG Objective DG Capabilities Improve personalization of customer products and services • Establish trusted view of customer data assets • Data Catalog • Data Lineage • Approval Workflow • Data Integrity rules Accurate and timely credit-risk analysis • Underwriting • Loan office • Finance • •10% reduction in expected loss • •20% lower Probability of Default Increase user productivity by improving time-to- insights • Launch data literacy campaign across business data SMEs • Data lineage • Data Catalog • Automated workflow Mitigate risk and facilitate regulatory compliance and reporting • Establish risk and control framework for regulatory drivers • PII detection • Data monitoring • Access control Centralized collection of customer data elements used for marketing and promotion Data profile providing additional context on volume, counts, location, and contents Data lineage flow of upstream/downstream relationships Impact analysis to business processes, metrics, and analytics Approved governance ownership indicating data is certified for access and use Automated approval workflow to grant access to data at source Data integrity metrics to indicate data that is accurate, consistent, and trusted Quality monitoring to trigger notifications below acceptable values P A I N K I L L E R “ M u s t H a v e s ” V I T A M I N “ B o n u s ”
  • 13. Takeaways • Link data governance program initiatives to higher-level business goals, stakeholders, and business outcomes • Identify data governance capabilities that directly serve as both painkillers and vitamins to protect and grow the business
  • 15. Not all data is created equal 95% of business results 5% results Data Governance programs that prioritise critical data have 5x faster time-to-value ~5% critical data 95% all other data
  • 16. Focusing on what matters (critical data adding value) Data Selection of data maintained at the system level (tables and fields) Information Information required to run the business and conduct daily operations KPIs / Performance Measures / Analytics Measuring process effectiveness & enabling sound business decisions Actionable Insights & Business Value Strategic enterprise and organizational business value drivers CRITICAL DATA
  • 17. Prioritising what matters Goal Org Stakeholders Expected Results DG Objective DG Capabilities Improve personalisation of customer goods and services Marketing Sales Finance • Increase referrals by 5% • 17%+ repeat customer purchases • 11% reduced churn • Establish a common view of trusted customer data • Data Catalog • Data Lineage • Approval Workflow • Data Integrity rules “We need to personalise our outreach to reduce churn.”
  • 18. Takeaways • Save time and effort by prioritizing critical data • Establish ownership and visibility to critical data that impacts decision-making and compliance/risk
  • 20. Operational Bridging the gap between business & IT Strategic Tactical e.g., KPIs / metrics, strategic programs, data privacy & protection e.g., product development, planning, sourcing, manufacturing e.g., data migrations, system implementations, data science & engineering Critical data that drives business processes and operations Grow the Business Critical data assets that have operational, compliance and analytical business impacts Run the Business Critical information driving business goals, objectives, KPIs, and metrics Transform the Business
  • 21. Value metrics across three levels Strategic • Business Transformation Lead • CDO / Data & Analytics Lead • CIO Value Metrics: Business Impact / ROI • Process enablement • KPI’s / PPI’s Value Metrics: Performance Improvement • Data Quality (e.g. Accuracy) • # of touches Value Metrics: Efficiency & Effectiveness • Volume / counts • Completeness • Accessibility • Curation times • Scale (# Systems managed) • Data Error % (Rework %) • Cycle time vs SLA’s • Timeliness / availability • Customer sentiment • Project acceleration Operational • Business Process Lead • Data Governance Lead • Data Management Lead • Information Architect Tactical • Business Data SME • Data Analyst / Scientist • Data Steward • Data Maintenance & Quality • Data Engineer
  • 22. The Value Story • Catalog assets • Terms defined • Quality rules developed • Data owners identified • Issue requests Tactical Value Metrics (Inputs) • FTE Productivity • Data Literacy index • Adoption / NPS • Cycle time • Data sharing Strategic Value Metrics (Outcomes) • Our supplier data setup process has decreased by 25%... • We’re able to identify top 20 vendors 33% faster for contract renegotiations… • And we’ve increased FTE productivity by 20% due to data self-service … • We’ve catalogued 10,000 supplier data assets… • Defined the top 50 critical supplier terms … • Aligned on key rules and policies for each… • And our data quality is showing 90+% accuracy and consistency for supplier spend data… Value metrics come together at each level to tell a complete story that resonates. As a result… Lead to
  • 23. Takeaways • Communicate governance value across three levels – Strategic, Operational, and Tactical • Quantify business impact with value metrics that resonate across each level
  • 25. Proper data governance removes friction • Meetings • Surveys • Approvals • Procedures Why aren’t people coming to my monthly governance meetings?
  • 26. Bowling alley framework • Make it easy for business teams to contribute and get engaged • Embed governance in their everyday activities and tasks • Invest in tools that promote collaboration for all users
  • 27. Bowling alley framework Shared Goals Launch Engagement bumpers Solution bumpers • Personalized onboarding • Governance bootcamps • Recurring newsletters • Leadership endorsements • Governance ambassadors • Platform training videos • Business-friendly UX • Targeted Recommendations • Progress scorecards • Data Integrity dashboards
  • 28. Data Catalog Scavenger Hunt Increased platform adoption by 36% Explainer Videos Improved DG Council attendance by 52% Steward Gamification Increased workflow speed by 18% Craig
  • 29. Takeaways • Clear a path to your stakeholder’s desired outcomes • Make it easy for stakeholders to contribute to a strong data culture
  • 30. Business-first approach • Link Data Governance to business goals • Prioritise the data that matters • Build stakeholder engagement across three levels • Embed governance in everyday business tasks
  • 31. Benefits of a business-first approach Accelerate program roll-out by 18-40% Increase likelihood of reinvestment by over 75% Generate 2-7x greater ROI