DBTA E-EDITION
September 2026
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Trends and Applications
From AI assistants and customer-facing analytics to operational intelligence platforms and real-time decisioning systems, modern data applications are creating new opportunities to drive innovation, efficiency, and competitive advantage.
Most companies have dashboards: bar charts, pie charts, and heatmaps arranged across a screen like a flight cockpit. Yet no one knows what to do when they land. Dashboards are passive. They tell you what's happening, but they don't guide you on what to do next. That gap between observation and action is where millions of dollars in revenue quietly disappears.
Enterprise companies persist in making significant investments in data warehouses, cloud solutions, and business intelligence tools, but numerous executives still doubt the figures generated by those systems. A well-structured Data Trust Framework fills a void that conventional data validation approaches miss: It makes the distinction between a pipeline that operates effectively and a report that executives genuinely trust.
Columns - DBA Corner
Over the years, I've had hundreds of conversations that started something like this: "Our data is pretty good." Sometimes the statement is made with confidence. Sometimes it's accompanied by a shrug. Occasionally it's followed by, "Sure, we have a few duplicate records, some missing values, and a little inconsistency here and there, but nothing serious."