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Creating an EDGE - Enterprise Data Governance Experience

Industry is challenged to ride the Big Data tidal wave. The average organization doesn’t use half of its structured data in decision-making, and less than one percent of unstructured data is analyzed or used at all, according to Harvard Business Review.

That’s a lot of untapped, ungoverned data assets and therefore unmitigated risks and missed opportunities. However, if data is accessible, reliable and actionable, it can drive serious results – from regulatory compliance (think GDPR) to topline revenue.

So, forget everything you know about data governance as it’s been practiced until now. It’s time to adopt a persona-based approach that joins IT and business functions to ensure organizational objectives are met with everyone – from executives on down – invested in and accountable for data use.

Creating such an end-to-end enterprise data governance experience makes data governance everyone’s business. Then they can manage data’s downsides while maximizing its upsides for optimal organizational performance.

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Creating an EDGE - Enterprise Data Governance Experience

  1. 1. Creating an EDGE: An Enterprise Data Governance Experience
  2. 2. Today’s Speakers © 2017 erwin. All rights reserved. 2 Mariann McDonagh CMO, erwin Inc. Jamie Knowles Product Director, erwin Inc. https://www.linkedin.com/in/mariannmcdonagh/ https://www.linkedin.com/in/jamieknowlesltd/@mcdonaghmariann
  3. 3. The Data Wave Is HERE In 2015 and 2016, more data was created than the previous 5,000 years of humanity. In 2017, we will create even more data in one year alone. BY 2020 37 billion new things will be connected 1.5 GB of traffic per day per internet user 4 TB of data per day for autonomous vehicles 1 PB of data per day to run a smart factory 5 TB of data per flight for airplanes © 2017 erwin. All rights reserved. 3
  4. 4. The Value Of Data Is Proliferating Exponentially © 2017 erwin. All rights reserved. 4 Retailers that leverage the full power of big data could increase their operating margins by as much as 60%. Estimates suggest that by better integrating big data, healthcare could save as much as $300 billion a year. For a typical Fortune 1000 company, a 10% increase in data accessibility will result in more than $65 million in additional net income. But less than 0.5% of all data is ever analyzed and used.
  5. 5. FOR COMPANIES THAT HOLD PERSONAL DATA AND DO NOT HAVE A GRASP ON INFORMATION PRIVACY & SECURITY SO IS THE POTENTIAL RISK GDPR is here with Potential Penalties of up to 4% of ANNUAL TURNOVER © 2017 erwin. All rights reserved. 5
  6. 6. Companies Must Manage Data In The Context Of Their Strategic Goals © 2017 erwin. All rights reserved. 6 Improved Decision Making Increased Customer satisfaction Compliance, Privacy & security Operational Efficiency Revenue growth DATA GOVERNANCE IS THE KEY VISIBIL ITY AN D C O N TR O L U N L O C KS BU SIN ESS VAL U E O F D ATA
  7. 7. What Is Data Governance? © 2017 erwin. All rights reserved. 7 Data in Context What do we have? What does it mean? Where did it come from? Is it secure? What rules or restrictions apply? How accurate is it? Where is it? Who is accountable? Who is using it? How is it used? How can I access it? HOW CAN ORGANIZATIONS BENEFIT? Reduce Data-Related Risks Optimize Business Operations Increase Use of Trusted Data
  8. 8. What Are Some Of The Challenges To Holistic Data Governance © 2017 erwin. All rights reserved. 8 Assessing the current state Planning the way forward Balancing control & agility Enabling accountability Overcoming silos Proving value Iterating success
  9. 9. What Are The Critical Facets Of An Enterprise DG Experience? © 2017 erwin. All rights reserved. 9 REGULATORY PEACE OF MIND VISIBILITY ACROSS DOMAINS AN INTEGRATED ECOSYSTEM ANY DATA ANYWHERE STAKEHOLDER EMPOWERMENT
  10. 10. What Are The Key Bodies Of Knowledge Required For Successful DG? © 2017 erwin. All rights reserved. 10 DG Hub Business Glossary Data Dictionary Data Usage Meaning of data Business Term Code Set Business Use Measures and Mechanisms Workflow Issue Audit KPI Detailed descriptions of data assetsFile Database Document BI Report Atomic dataData Element Rules and policies that govern data Policy Rule Ownership High level designs Data Flow Lineage Impact Catalogs of data driven assets Role System Location Data Store Process Business IT
  11. 11. Who Are The Key Stakeholders And How Can DG Help Them? © 2017 erwin. All rights reserved. 11 DATA OWNERS STEWARDS CUSTODIANS (IT) CONSUMERS
  12. 12. How Does Data Governance Relate To Other Disciplines? © 2017 erwin. All rights reserved. 12 Enterprise architecture Business process modeling Data modeling Enterprise security …
  13. 13. What Should Organizations Look For In DG Technology? © 2017 erwin. All rights reserved. 13 Understand Data Dictionary Data Quality Data Usage Discover Reference Data Business Glossary Socialize Data Sets Data Issues Impact & Lineage Govern Policies and Rules DGOM Collaboration Workflow Collaboration Shared Services Integration
  14. 14. In Closing … DG 1.0 has left the market wanting more Successful DG requires a different approach that empowers the enterprise Readiness is key to success DG should be measured and measurable in the context of the business © 2017 erwin. All rights reserved. 14
  15. 15. Questions?
  16. 16. Take the Next Step: Visit erwin.com © 2017 erwin. All rights reserved. 16 Download our ebook

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  • ArifRachmanPMP

    May. 7, 2018
  • LisLeckeySwanson

    Jul. 15, 2020

Industry is challenged to ride the Big Data tidal wave. The average organization doesn’t use half of its structured data in decision-making, and less than one percent of unstructured data is analyzed or used at all, according to Harvard Business Review. That’s a lot of untapped, ungoverned data assets and therefore unmitigated risks and missed opportunities. However, if data is accessible, reliable and actionable, it can drive serious results – from regulatory compliance (think GDPR) to topline revenue. So, forget everything you know about data governance as it’s been practiced until now. It’s time to adopt a persona-based approach that joins IT and business functions to ensure organizational objectives are met with everyone – from executives on down – invested in and accountable for data use. Creating such an end-to-end enterprise data governance experience makes data governance everyone’s business. Then they can manage data’s downsides while maximizing its upsides for optimal organizational performance.

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