The Persona-Based Value of Modern Data Governance

Yes, data governance solutions are now a business imperative. But modern demands are requiring integrated capabilities to discover, understand, profile, and measure data integrity across many different functions across your organization.


This presentation shares four persona-based use cases & demos to illustrate how a single modular, and interoperable solution can optimize collaboration and empower your data teams to deliver data-driven decisions faster and more confidently.


Are you ready for the future of data governance? Check out what will be required:
• Understand data relationships to business objectives, metrics, and request new actions
• Discover new data element alerts to profile and add contextual details to your analysis
• Review needed data quality rules, lineage, and impact and proactively
monitor data changes over time.
• Access & respond to data replication request for more timely results
• Create data quality pipelines and enrich data for more insightful analytics

1. Susan Pawlak, Product Marketing Persona-Based Value in Modern Data Governance Why It Matters to You

2. Housekeeping Webinar Audio Today’s webcast audio is streamed through your computer speakers If you need technical assistance with the web interface or audio, please reach out to us using the Q&A box Questions Welcome Submit your questions at any time during the presentation using the Q&A box. If we don't get to your question, we will follow-up via email Recording and slides This webinar is being recorded. You will receive an email following the webinar with a link to the recording and slides 2

3. Introductions Susan Pawlak Senior Manager, Product Marketing Mike Ortmann Senior Solution Engineer

4. Introductions: Our Personas Julie Data Engineer Sue Business User Vedav Data Steward Aleksandra Data Analyst

5. 2023 Data Integrity Trends & Insights 77% report data-driven decision-making as the top priority for data programs

6. Despite all of the talk about data … … governance for most is still a “have to,” not a “want to.” 6 Time they will spend Number of things they pay attention to What someone will do because they have to What someone will do because they want to Likeability gap* *Rohit Barghava , Likenomics (Wiley, 2012)

7. “We need to govern our data!” 7 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. Presentation name What went wrong? 8 Poor visibility around the value data governance delivers for all teams/team members Manual/additional proc esses that created extra work outside of normal responsibilities Unclear alignment across business, IT and strategic high priority goals Lack of clarity around what data is truly critical to high priority goals

9. Cloud / VPC / On-Premises Data Integration Data Observability Dat a Q u alit y Geo Addressing Spatial Analytics Dat a Governance Dat a Enrichment APIs and SDKs Enterprise Business Systems Enterprise apps Analytics tools Precisely industry apps BI dashboards AI/ML Enterprise Data Sources Business Intelligence CRM Workforce mgmt. Data warehouse ERP Billing Data Integrity Services Data Integrity Foundation Data catalog Intelligence Agents

10. Modern Data Governance Approach + + Data Observability Data Governance Data Quality Delivers business context, ownership, data quality, and data observability for high-value data assets Creates an integrated experience in governing and monitoring the   quality of data across business & IT users

11. Business User Sue Business user How can I discover and understand critical data and its meaning, associated policies, and quality metrics? How can I collaborate with other data users and the data team to begin a new workstream , gather new feedback, or get clarification on critical data?

12. Data Engineer Julie Data Engineer What tasks have I been assigned? What are the technical data attributes of the data I need? How can I get access to the data ? What manual processes can be automated that impact my role?

13. Data Analyst Aleksandra Data Analyst What tasks have I been assigned? What data assets impact my key KPI’s? What capabilities can I leverage to expedite & optimize data pipelines?

14. Data Steward Vedav Data Steward How easy is it for me to build, maintain, and monitor critical data assets? How can I measure the effectiveness of data governance? How will I know if data has been updated or has changed outside of prescribed parameters?

15. Dataversity DG Demo Min 8:00 – 31:00

16. Persona-based Value

17. Business User Sue Business user Easy searchability to discover and understand critical data and its meaning, associated policies, and quality metrics Visualizations to understand data usage & impact across processes Auditable workflow to collaborate, survey, and monitor requests to data teams from a single interface

18. Data Engineer Julie Data Engineer, Notifications from data users to deliver more timely data pipelines T echnical data attributes of the data available to quickly respond to tasks Auditable access request to authorized data owner to ensure compliance Automatic cataloging of metadata to reduce additional steps

19. Data Analyst Aleksandra Data Analyst Notifications from data teams to deliver more timely data analysis D ata assets linked to KPI’s to bring greate r visibility to high priority projects Data standardization, geo addressing, and data enrichment capabilities reduce manual work, and improve analytical outcomes

20. Data Steward Vedav Data Steward Flexible business-friendly interface and visualizations to facilitate business and IT data management & communication Configurable data governance scores enable data governance metrics Implementing data observers reduces manual efforts and risk around data drift, shift, and anomalies over time

21. Presentation name Modern Data Governance: Realizing value to YOU 21 Embed data governance into routine business processes to enable users to work smarter and realize personal value Optimize processes like automated data cataloging and geo addressing, and leverage machine learning to improve outcomes while reducing workload of users Unite business and IT teams with s eamless collaboration for better alignment and outcomes around shared deliverables Link goals and objectives to data assets to have clarity into what impacts your KPI’s and metrics

22. LOCATION MDM/PIM DATA GOVERNANCE & QUALITY 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 can help you at every step of your data integrity journey Strategic Services can help jump-start your initiative or ensure an existing one accomplishes the desired outcomes!

23. Questions?

24. Next steps! Schedule a conversation with Precisely experts Request a demo Learn more at precisely.com Dive into more content on today’s topics

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