Downloaded 12 times
Uploaded byPrecisely
Data Governance Strategies for Public Sector
The document outlines the importance of data governance for public sector organizations, emphasizing its role in improving data quality, facilitating better decision-making, and ensuring compliance with regulations. It discusses challenges faced in governance initiatives, highlighting that a significant percentage fail to deliver expected outcomes, while also presenting strategies to align data governance with organizational goals. Key takeaways include linking governance to business objectives, prioritizing critical data, and enhancing user engagement through effective change management.
More Related Content
Similar to Data Governance Strategies for Public Sector
![Coded Agents – with UiPath SDK + LangGraph [Virtual Hands-on Workshop]](https://cdn.slidesharecdn.com/ss_thumbnails/codedagentsdeck-251215155422-5497c599-thumbnail.jpg?width=640&height=640&fit=bounds)
Data Governance Strategies for Public Sector
- 1. Data Governance Strategies for PublicSector Joe Dantas Public Sector Director Esther Lim Sales Engineering Manager
- 2. Today’s Speakers Joe Dantas PublicSector Director Sydney Esther Lim Sales Engineering Manager Melbourne
- 3. Agenda • Introductions • PreciselyOverview • Why do we need Data Governance? • Business-First Data Governance • Quiz! • Q&A
- 4. Our software, dataenrichment products and strategic services deliver accuracy, consistency, and context in your data, powering confident decisions. of the Fortune 100 99 countries 100 2,500 employees customers 12,000 Brands you trust, trust us Data leaders partner with us
- 5. AGENTS DATA CATALOG INTELLIGENCE DATA FLOW DESIGNER • Enterpriseapps • Analytics tools • Precisely industry apps • BI dashboards • AI/ML • Business Intelligence • CRM • Workforce mgmt. • Data warehouse • ERP • Billing
- 6. 65% of data citizens don’tknow how data governance impacts their role Data Governance: Measuring Effectiveness 80% of governance initiatives fail to deliver expected outcomes 74% of data leaders struggle to calculate the ROI of data governance projects Gartner Forbes HBR
- 7. Exploding Need forTrusted Data 83% of CEOs want their organisation to be more data-driven Digital transformation investments to top $6.8 trillion globally by 2023 68% of Fortune 1000 businesses now have CDOs – up 6x in the last decade Global data infrastructure spending expected to reach $200 billion this year Data is the fuel for decision-making today IDC IDC Gartner Forbes
- 8. H 8 Data Scientists spend upto 80% of time on "data cleaning" in preparation for data analysis, statistical modeling, & machine learning Post Credit: Igor Korolev
- 9. Your Data Personas Citizendevelopers, data explorers, report builders, report consumers Self service reporting Marketing, HR, Sales, Management, Operational CEO, CFO, CIO, CMO Data Consumer Manages all data processes across business process Manages the critical data, both reference and transactional Understands the quality of the data and the problems Data Consumers and Analysts are encountering with it Data Steward BI Developer ML and AI initiatives Translates business requirements into data pipelines Requires clean trusted data Data Analyst/Modeller Specific Domain data owners Controls access to their data domain Makes decisions on maintaining and achieving good data quality Data Owner
- 10. 10 Where does this data comefrom? What does this data mean? What data is being used in this dashboard report? Who owns this data? How and who do I notify if there is an issue with this data? How does this data impact my business? Can I trust it? Where do I find this data? How do I request this data? Can I share this data? Is this data governed by any legislation or policies? Is this data certified? Is this PII data?
- 11. Leading Benefit ofData Governance is Data Quality KEY FINDING Improving data quality is the leading benefit organisations receive from their data governance programs, an added value that contributes to a range of critical business benefits. Improved data quality is the leading benefit derived from data governance programs. How has your data governance program added value to the organisation? (n=449) 56% Higher quality of data analytics and insights 52% Facilitated collaboration 50% Faster access to relevant data 49% Increased regulatory compliance
- 12. Legislative Drivers Comply withLegislation Data Legislation and Policies • Local Government Act 2009 • Privacy and Personal Information Protection Regulation 2019 • Data Sharing (Government Sector) Act 2015 • Government Information (Public Access) Act 2009 (GIPA ACT) • Health Records and Information Privacy Act 2002 (HRIP Act) • Privacy and Personal Information Protection Act 1998 (PPIP Act) • State records Act 1998 • CDR – Consumer Data Right PII – Personally identifiable information • Information that can be used on its own or with other information to identify, contact or locate a single person, or to identify an individual in context. • This might include a person’s name and address, medical records, bank account details, photos, videos and even information about what an individual likes, their opinions and where they work.
- 13. Source: Notifiable databreaches report July to December 2022
- 14. Pager messages include patients'personal details and condition as well as the address of the incident ‘Bordering on negligent’: NT Health releases personal data in COVID app breach
- 15. Database of International Committee ofthe Red Cross breached ACT government publishes sensitive health data from nearly 30,000 workers' compensation claims
- 16. Passports, home addresses atrisk as hackers attack Optus Medibank takes systems offline after 'cyber incident'
- 17. Regulations and Data Amazonhit with $886m fine for alleged data law breach WhatsApp issued second -largest GDPR fine of €225m Meta fined $18.6 million over 12 GDPR-related data breaches Google was hit with a $57 million fine over alleged General Data Protection Regulation Instagram Fined $AU595 Million in EU Over Teenager’s Data £18.4 million Marriott International GDPR fine
- 18. Why do weneed Data Governance Better decision making Democratisation of Data Improve Efficiencies Improve Data Quality – Trust in Data Ensure compliance Secure your data
- 19. How to Builda Data Governance Program That Lasts
- 20. “We need to governour 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”
- 21. Successful programs link DataGovernance to organisational goals
- 22. Organisational Goals InformYour Steps REPORTING & COMPLIANCE ANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE Data protection Risk and fraud Privacy Safety Regulatory compliance Internal reporting Serviceability Personalised Communication Forecasting Customer 360° view Optimize working capital Enhance customer care Lower operating expenses Improve citizen engagement
- 23. REPORTING & COMPLIANCEANALYTICS & INSIGHTS OPERATIONAL EXCELLENCE Data protection Risk and fraud Privacy Safety Regulatory compliance Internal reporting Serviceability Personalised Communication Forecasting Customer 360° view Optimize working capital Enhance customer care Lower operating expenses Improve citizen engagement Organisational Goals Inform Your Steps
- 24. Mapping Data GovernanceBusiness Value Goal Org Stakeholders Expected Outcomes DG Objective DG Capabilities Improve personalization of services Marketing Finance Service • Increase NPS by 5% • 10% increase in service uptake • Establish a common view of trusted customer data assets • Data Catalog • Data Lineage • Approval Workflow • Data Integrity rules Increase user productivity by improving time- to-insights Business Analytics Data Office Service • Reduce time-to- insight by 45% • Establish stage gates, rules, policies, and quality measures for end-to-end processes • DQ rules • Business process monitoring • Data quality metrics Reduce costs associated with errors in reporting Business Analytics IT Data Office • Reduce manual reporting costs by 15% • Improve decision- accuracy by 22% • Launch data literacy campaign across business data SMEs • Data lineage • Data Catalog • Automated workflow
- 25. Governance as a“Painkiller” and “Vitamin” Goal DG Objective DG Capabilities Improve personalization of services • Establish trusted view of customer data assets • Data Catalog • Data Lineage • Approval Workflow • Data Integrity rules Increase user productivity by improving time-to- insights • Establish stage gates, rules, policies, and quality measures for end-to-end processes • DQ rules • Business process monitoring • Data quality metrics Reduce costs associated with errors in reporting • Launch data literacy campaign across business data SMEs • Data lineage • Data Catalog • Automated workflow 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 ”
- 26. Successful programs prioritise thedata that matters
- 27. Focusing on WhatMatters (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 organisational business value drivers CRITICAL DATA
- 28. Prioritising What Matters GoalOrg Stakeholders Expected Results DG Objective DG Capabilities Improve personalization of services Marketing Finance Service • Increase NPS by 5% • 10% increase in service uptake • Establish a common view of trusted customer data • Data Catalog • Data Lineage • Approval Workflow • Data Integrity rules “We need to personalize our outreach to improve services.”
- 29.
- 30. Successful programs build valueacross three levels
- 31. Value Metrics AcrossThree 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
- 32. 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) • We identified 35% more underserved citizens out of our total population… • We increased program participation by 25%… • And we’ve increased funding by 25% to match participation levels… • We’ve catalogued 10,000 data assets… • Defined the top 50 critical business terms … • Aligned on key rules and policies… • And our data quality is showing 90+% accuracy and consistency for reporting data… Lead to
- 33. Successful programs embed governancein daily operations
- 34. Proper Data GovernanceRemoves Friction • Meetings • Surveys • Approvals • Procedures Why aren’t people coming to my monthly governance meetings?
- 35. Proper Data GovernanceRemoves Friction • Meetings • Surveys • Approvals • Procedures • Targeted Recommendations • Personalised Onboarding • Governance Ambassadors • Leadership Endorsements • Scoreboards Why aren’t people coming to my monthly governance meetings?
- 36. Increased platform adoption by36% Improved DG Council attendance by 52% Increased workflow speed by 18% Craig
- 37. Takeaways • Link datagovernance to business goals and outcomes • Quantify business impact with the value metrics that resonate across each stakeholder level • Prioritise the data and capabilities that matter the most. Focus on “painkillers”. • Change management!
- 38.
Editor's Notes
- #5 (Joe)
- #8 (Joe)
- #9 (Joe) Quick Show Of Hands?
- #10 (Joe)
- #11 (Joe)
- #12 (Joe)
- #15 When we get it wrong, we are reminded and it ends up in the media Tasmania Ambulance - pager information made public also included a patient's HIV status, gender and age, raising concerns it could lead to discrimination or stigmatisation. NT residents have had their personal and business emails released in a data-breaching mass email sent by the Health Department in relation to the government’s COVID-19 Territory Check In app. This exposed 4400 private businesses and government contacts, with all personal and business addresses open for everyone to see and use. 'Bordering on negligent': NT Health releases personal data in COVID app breach | NT Independent Tasmania Police called in after ambulance patient details published online - ABC News
- #16 (Joe)
- #18 Amazon hit with $886m fine for alleged data law breach - BBC News WhatsApp issued second-largest GDPR fine of €225m - BBC News Instagram fined €405M in EU over children’s privacy | TechCrunch
- #20 (Esther from here)