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Your organization has stated it is going to be data driven. Perhaps some mandate were handed down, or some data scientists are working in functional areas. But wait – why no formal data quality program? Or metadata? Or management of data movement and access ? Has anyone thought of data privacy? Too often there is a complete disconnect between lofty goals of leadership and practical solutions. The big issue is lack of awareness about what data driven really means, and the potential issues that can arise along the way. This presentation will cover:
- What essential elements are needed to present to management to demonstrate that “data driven” requires some sort of forma data program.
- How to craft a solution to the problem quickly when you are challenged.
- How to build a case to “step up,” and communicate risks to leadership
View the presentation, How to get data management to be part of your data driven organization
“Data debt” is a term based on the concept of “technology debt,” out of the Agile Development world. Data debt is a concept and metric that will reveal to leadership the huge costs in delaying doing the “right things” with data and information. This session will explain the concept, and offer suggestions as to how to apply this powerful metric to sustaining your EIM or DG program.
View the presentation, Data Debt – A significant and powerful new metric to prove the value of your data management and data governance programs
Thomas Redman coined the phrase “Top Data Job” a few years ago. But what does that mean? Is there any practical advice for managers and other leaders within Data Governance and Data Management? Absolutely! Chief Data Office, EVP of Information, Head of Informatics, Data Scientist are several of the many titles popping up as labels for the “top data job” within an organization. As varied as the individual companies and business challenges can be, they all have distinctly similar challenges and approaches. Everyone in the data world can benefit from learning the tactics, philosophies and success stories. This session will review the success factors and approaches of many data leaders.
- Selling and Sustaining Data Governance and Management
- Staffing and Organization Design
- Rules of being a business partner, not an order taker
- How the CDO interfaces with other functions
View the presentation, Fundamentals of the Top Data Job – Do’s and Don’ts for the CDO or other EIM leader
Many organizations have enterprise and information architects. But very few organizations have figured out how to integrate the two areas. A prime example is the explosion of SOA work with poor or nonexistent data consideration. In fact, they often clash. How do you reconcile enterprise architecture work, information management and data governance? John will present an assessment and measurement tool he has used to demonstrate to management that powerful promise in taking a holistic view. John will use the Zachman Framework but also show TOGAF.
View the presentation, Using Enterprise Architecture to Manage Data Governance and Information Management
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