@forrester just published a dozen 2026 budget planning guides for technology, #data, #analytics, #AI, security, #marketing leaders including https://t.co/0ubMhl6YVj by yours truly. Each guide has detailed "invest", "divest/reduce/pause", and "experiment" recommendations.
Interviewing users of leading #businessintelligence vendors/platforms about their use of conversational UI - natural language to query #NLQ . So far very few positive results. Some of the reasons https://t.co/Me4xGb0g2M @forrester
In the age of #generativeAI#genAI#NLQ is no longer just Natural Language to Query (eg, it could be natural language to #Python). Is NLQ now Natural Language data Questions? https://t.co/tJvmc69Erj #businessintelligence
50% of organizations deploy 4 or more #businessintelligence platforms (that % has been gyrating between 50% and 60% over the last few years). How many does your organization deploy? https://t.co/H1R5kyINzq @forrester
“To flagrantly bastardize a popular Zen koan: If a data point sits in a data center and never impacts a decision, does it have value? The answer is unambiguously “no.”” By @bcpurcell from @forrester https://t.co/Wg2qkLVFP2 #businessintelligence#AI#analytics
In '24 companies at the advanced #data#analytics#businessintelligence maturity levels are nearly 8 times as likely to report being ahead of the industry average instead of below while companies at the beginner level are only about 4 times as likely. @forrester
The explosion of #generativeAI#LLMs activity has brought w it a new vocabulary that's foreign to many tech & data leaders and their teams. To avoid talking past one another, teams must have a shared understanding of the new #genAI vocabulary. @forrester https://t.co/XUiak5bLBw
Obviously the only correct answer to my question is "it depends". Still, how does the following sound: u need 1 data/analytics pro to support ~10 "power" business users, then in turn each one of these is needed to support ~10 (+/- 20%) casual business users. Reactions? #analytics