I recently participated in a series of marketing-focused webinars hosted by industry-leading enterprise data cloud vendors. All of this is the unofficial death of the Business Intelligence (BI) dashboard, and it declares that the generative AI-based cloud data platform interface will provide a renaissance, if not a clear path to future reimbursement of business intelligence. Furthermore, recent architectural efforts that I have been involved suggest that many large corporations in multiple industries are fighting data manipulation and the need for dynamic outcome-driven interactions with data beyond investments in data lake homes, medallions or lambda architecture, and semantic models. All of these are the foundations for making BI useful.
After some thought, I was forced to consider the very realistic possibility that the BI landscape had not actually diversified in at least ten years. To be fair, according to Gartner, industry leaders like Microsoft and Salesforce (Power BI and Tableau) still provide sophisticated and evolved tools for business decision makers with critical installation bases in the arena of BI clients and with engaging data and data visualizations. And information.
Many of the issues are Data Trust, but mostly it is based on democratized research, interactions, discoveries, and, above all, the need to get time. Creating a chained semantic layer on a static dashboard does not offer any major advantages for those who need to operate at business speed. The new basis for competitive and market differentiators is not just time, but time is resolved. According to Besemer Venture Partners, unlocking data on the path to execution means “a transition from a system of recording to an action system.” So, what are the progress made to enable both insight and action?
