Interesting claim, but it does assume we understand how business decision making is made in our enterprise. Something we attempted to understand over many years. It still makes sense to study the processes being used and how they are influenced today by analytical methods as a starting point.
How AI-powered BI tools will redefine enterprise decision-making
Steve Sloane, Menlo Ventures @bad2thesloane April 2, 2021 8:05 AM
Value-creation in business intelligence (BI) has followed a consistent pattern over the last few decades. The ability to democratize and expand the addressable user base of solutions has corresponded to large value increases. Enterprise BI arguably started with highly technical solutions like SAS in the mid-’70s, accessible only to a small fraction of highly specialized employees. The BI world began to open up in the ’90s with the advent of solutions like SAP Business Objects, which created an abstraction layer on top of query language to allow a broader swath of employees to run business intelligence. BI 3.0 came in the last decade, as solutions like Alteryx have provided WYSIWYG interfaces that further expanded both the sophistication and accessibility of BI.
But in many cases, BI still involves analysts writing SQL queries to analyze large data sets so that they can provide intelligence for non-technical executives. While this paradigm for analysis continues to increase, I believe that a new BI paradigm will emerge and grow in importance over the next few years — one in which AI surfaces relevant questions and insights, and even proposes solutions. ... '
No comments:
Post a Comment