Delivering high-value data catalog use cases for your organization should be iterative, impactful and easy to achieve. Consider the delivery of data as a product. Anyone within your business should be able to request a new data product including data as well as reports, associated AI models, data lineage and other related insights without requiring the journey through a laborious software development lifecycle. Even more so as the pace of business and the need for data insights continue to speed up despite the resource constraints you may be juggling.
Moderator Stephen Faig, the research director at Unisphere Research and DBTA, joined Susan Laine, data intelligence thought leader and director of solution strategy at Quest Software, to delve into how data as a product delivery demands new approaches to take advantage of automation and work potentially already occurring within your organization.
Watch this on-demand webcast and learn the three keys to delivering data as a product:
- How and why data modeling can and should be leveraged as a foundation for your data products
- How data catalog automation can shorten the time to data product delivery
- The role self-service data marketplaces can play in expanding visibility of high-value, trusted data and getting new governed data products into the hands of data consumers faster