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Self-Service Analytics Is Top Goal But Rare in Practice: GoodData Study

GoodData has chimed news that self-service insights are the top priority for 2022, cited by 45% of companies.  No surprise there, but you may not realize how far that goal is from reality: business users manage their own data and analytics at just 25% of companies.  It’s managed by IT at 38% and a separate data or business intelligence department at 37%.

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CDP Use Lags Master Data, CRM, and Spreadsheets: D&B Report

December 23, 2021

We have a few holiday surprises for you today, Dear Reader. This Dun & Bradstreet report finds that just 12% of companies have built their consolidated customer view in a CDP, compared with master data management and CRM, both at 22%; data warehouse for 15%; and data lakes for 11%. Even the lowly spreadsheet clocked in at 15%. More than half (59%) have a multi-vendor sales and marketing tech stack, while 41% base it on a single vendor. Lots more here.

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Big Data Adoption Is Down: Dataversity Survey

December 23, 2021

Looking even deeper into the minds of IT leaders, Dataversity finds that the number of data silos is their biggest data management challenge, cited by 66%.  For all the fussing about privacy, it was tenth on the list, cited by just 26%.  Here’s the real surprise: plans to use “big data” are falling, as companies adopt cloud relational databases instead.  More here on data modeling, architectures, governance, metadata, and other geeky delights.

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Three-Quarters of Companies See AI/ML As Important Revenue Drivers: SambaNova Report

January 24, 2022

Do you miss those innocent days when every product announcement breathlessly reported the new system or feature was “AI-based”? If so, here’s a whiff of remembrance from AI infrastructure provider SambaNova Systems, who found that 78% of large companies rate AI and Machine Learning as important revenue drivers. Yet even they have a curiously mixed attitude, citing (in their press release) a NewVantage Partners study that found only a quarter of top companies have scaled AI/ML across their organization.

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