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Data quality + data governance: the formula for bigger, better decisions
The document discusses the significance of data quality and governance in making informed business decisions, highlighting how Precisely's solutions enhance data integrity. It emphasizes the interconnectedness of data governance and quality, showcasing industry recognition and the benefits of effective data management. Key takeaways include the collaborative efforts between business and IT and the importance of targeted solutions for unique data integrity challenges.
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Data quality + data governance: the formula for bigger, better decisions
- 1. Data Quality +Data Governance: the formula for bigger, better decisions
- 2. Today’s speakers Sue Pawlak SeniorProduct Marketing Manager Mike Sisolak Senior Sales Engineer
- 3. Our software, dataenrichment products and strategic services deliver accuracy, consistency, and context in your data, powering confident decisions. of the Fortune 100 97 countries 100 2,400 employees customers 12,000 Brands you trust, trust us Data leaders partner with us Precisely Confidential and Proprietary - Do Not Copy or Distribute
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- 5. The elements ofData Integrity Change Data Capture ETL Machine Data Integration Process Automation Integrate Data Governance Data Profiling Data Quality Master Data Management Self-Service Analytics Verify Spatial Analysis Geocoding Routing Visualization Locate Geographic Data Business Data Industry-Specific Data Enrich Integrated Comms Personalized Video Chatbots Responsive Messaging Digital Self-Services Engage
- 6. Data governance & catalog helpdata teams discover context, quality, and trustworthiness through metadata Operational data quality allows operations to reconcile data across sources to ensure high quality data flows through complex data environments Data preparation & analytics enables data analysts to acquire, prepare, and analyze quality data Strategic services help align data teams to strategic goals and objectives to ensure ROI Precisely extends its data integrity reach with the recent acquisition of Infogix
- 7. The point ofdata governance is not governance
- 8. The point is… Reporting& compliance • Internal reporting • Industry-specific regulations • HIPAA • SOX • Basel II • GDPR Analytics & insights • Big data • Machine learning • Internet of things • Global visibility • Real-time analytics • 360° view of the customer Operational excellence • Improve working capital • Strategic sourcing • System migration & consolidation • Enhanced customer satisfaction • Product traceability • New product intro Delivering business outcomes and connecting business goals, objectives & value with measured impacts & risks
- 9. Data leaders speak Trendsin Data Governance and Data Quality • New report with results from a survey of data and analytics professionals • Research conducted in partnership with Drexel University’s LeBow Center for Business Analytics Research profile • 800+ data professionals • Companies over $500M • Multi-industry/multi-regional focus • C-Suite, IT & business executives and managers 83% With mature data governance programs see value in improved data quality
- 10. LEADER Customer Comms Management 2020 LEADER LocationIntelligence Platforms Forrester Wave 2020 LEADER Data Quality Magic Quadrant 2021 The Forrester Wave™ 2021 Data Governance CHALLENGER Data Integration Magic Quadrant 2020 Precisely has earned industry recognition DATA INTEGRITY DATA INTEGRITY IN ACTION Integrate Verify Locate Enrich Engage “Precisely now provides well-integrated solutions for use cases needing a combination of data integration and data quality capabilities.” “Top choice for clients looking for a well-rounded governance solution with solid data quality capabilities and data strategy consulting services “Precisely is the only vendor to offer native real-time personalized and interactive video.”
- 11. Data governance + dataquality A symbiotic relationship that: • Builds trust in data enterprise-wide • Accurately measures business value • Fosters collaboration for more robust insights & outcomes • Creates auditable processes to document data changes
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- 13. Accurately measure business value Fostercollaboration for more robust outcomes & insights Build trust in data enterprise-wide Auditable processes to document data changes
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- 15. Data governance is notthe end goal. Delivering better business outcomes is. Data governance & data quality are intertwined on the journey to data integrity. Key takeaways
- 16. Data integrity is ajourney • Business & IT are collaborating more than ever – no more corporate IT-driven initiatives • Every organization is on their own unique journey to data integrity • Specific business use cases define the need for discrete steps along the journey • Strong preference to implement targeted solutions to today’s challenges rather than invest in a monolithic platform ENRICH VISUALIZE PREPARE UNIFY CONNECT DISCOVER CATALOG CLEAN LOCATE
- 17. ACCURACY CONSISTENCY CONTEXT On-premises,Hybrid Cloud & Cloud Insurance Cloud Data Warehousing Retail Banking & Financial IT Operations Solutions Customer 360 INTEROPERABLE | INTELLIGENT | DYNAMIC Telco Government Healthcare Compliance Precisely Data Integrity Suite
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Editor's Notes
- #17 But data integrity is a journey. That’s one thing we hear loud and clear when we talk to our customers. Everyone is on a journey to continuously improve the integrity of their data, better understand their business, and ultimately better serve their customers. There are many different steps along the path to data integrity…. like integrating siloed data, measuring its quality, adding location intelligence, and enriching it with 3rd party data to name just a few. But we have learned from our customers is that there isn’t a standard, linear journey to data integrity that works for everyone… and that the days of large corporate initiatives are dead. Customers told us that their business and IT teams are working more closely together than ever… jointly identifying the specific scope that delivers meaningful business impact. And as a result, they tackle data integrity through distinct projects that give them business value… no matter where those steps fit into this journey… and then plan their next move. And not surprisingly, that mean they want solutions that give them the freedom to make those choices. Data integrity is a journey. It’s continuous. And it requires best-in-class solutions working together to deliver value to the business.