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Trusted data products are essential to data-driven organizations because they provide reliable, high-quality data that employees and system can depend upon to make good decisions. However, building trusted data products is challenging.
Ensuring accuracy, completeness, and consistency across multiple data sources is a big issue. Another major hurdle is establishing governance practices to define ownership, data lineage, and accountability. Many organizations struggle with data silos across different departments and systems, so the ability to integrate data from various sources is another concern.
What's more, to be useful, the data must be timely. The ability to accommodate large datasets without sacrificing performance is essential, especially since many use cases involve real-time or near-real-time information. Finally, data products are only valuable if they are used, so enabling self-service access is important, but also tricky to balance with proper security and access control.
While this list of challenges is long, new technologies and practices are paving the way for organizations to succeed in transforming into data-driven enterprises. To dive into the best practices for building trusted data products, DBTA is hosting a special roundtable webinar on November 20th.
Reserve your seat today!
Register Now to attend the webinar, Best Practices for Building Trusted Data Products. Don't miss this live event on Wednesday, November 20th, 11 AM PT / 2 PM ET.
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