November 09, 2023 | 02:00 PM EST
Data Quality is an elusive subject that can defy measurement and yet be critical enough to derail any project, strategic initiative, or even company. The data layer of an organization is a critical component because it is so easy to initially ignore the quality of data or make overly optimistic assumptions about its efficacy.
Having Data Quality as a focus is a business philosophy that aligns strategy, business culture, company information, and technology in order to manage data to the benefit of the enterprise. It is a competitive strategy.
March 23, 2023 | 2:00 PM ET
Right now, nearly half of all DBTA subscribers are focused on streaming data, followed closely by IoT, which is no surprise given the value that enterprises can gain from enabling real-time operational intelligence. At the same time, existing infrastructures at many enterprises are not capable of handling these trends. The technical challenges require new approaches to data management. As a result, more and more enterprises are moving their data and processes closer to the edge to increase their agility, flexibility, and scalability.
February 17, 2023 | 11:00 AM PST
The Data Analytics Roundtable provides credit union leaders a forum to discuss the methodologies, frameworks, tools, and applications of big data and analytics across various business functions within the organization.
Data analytics is getting complex with so much first-party and third-party data available, the desire from the stakeholders to get the actionable insights in real-time, the expectations from members to have personalized, contextual engagement, technology advancements, and so much more.
March 08, 2023 | 9:00 AM PT
Today’s organizations are collecting more data than ever. TDWI research indicates that organizations are collecting 100s of terabytes and even petabytes of data. Much of this is moving to cloud platforms. The increasing volume, diversity, and complexity of data is putting pressure on organizations to rethink traditional methods of preparing data for reporting, analysis, sharing, and use.