Data Governance: The Key to Successful Digital Transformation
TDWI Speaker: David Loshin, President of Knowledge Integrity
Date: Wednesday, January 30, 2019
Time: 9:00 a.m. PT, 12:00 p.m. ET
Modern digital transformation goes beyond the narrow scope of “going paperless”—it involves a more sophisticated perspective on the increasing use of digital technology and data artifacts, management, and processing to positively impact ongoing business activities. Yet the desire for effective digital transformation has to be tempered with the appropriate oversight of the use of information. If increased data utility is the motivation, there will be a corresponding increased need for data governance, especially as new and varied sources of data (such as social network data streams or the Internet of Things) become mainstream.
Although the concept of data governance often conjures ideas of constraining data accessibility and use, the contrary is true. More data consumers need information about available data resources—what data objects exist and how they can be used—as well as trust in the quality of the data, transparency about its provenance, and improved methods of accessibility. If data governance is done right, it is not about locking down data, but rather it is about improving data quality and usability to uncover new revenue opportunities and improving customer engagement while reducing frustration in enabling data use. In essence, it is about expanding data utility without increasing data futility.
In this webinar we discuss the balance between offense and defense around data governance, data consumer enablement, and how data governance is the cornerstone of digital transformation.
Attendees will learn about:
- Methods of engagement for enterprise data governance
- How data governance encompasses both core data and its derivatives (e.g., reports, analyses, AI, dashboards, etc.)
- New roles like the chief data officer
- Enabling access to the right people while restricting inadvertent exposure
- Managing data accessibility within the guidelines of appropriate use
- Opportunities for leveraging automation for data policy management