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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

Its about investing in skilled analysts and robust data governance. This means fostering a culture of data literacy and empowering analysts to critically evaluate the tools and techniques at their disposal. It also means establishing clear data governance frameworks to ensure data quality, security and ethical use.

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Five Steps for Building a Successful BI Strategy

Sisense

Originating with Gartner, this chart includes the analytic features needed for a full analytics strategy, and what our AI team believe to be the absolute future of analytics – Cognitive Analytics. . Do you need to work on creating more data governance or put more effort on training and documentation? #5

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ChatGPT: le nuove sfide della strategia sui dati nell’era dell’IA generativa

CIO Business Intelligence

“Le azioni successive per il miglioramento della data quality possono essere sia di processo che applicative e includono la definizione di un modello organizzativo intorno alla data governance , assegnando ruoli e compiti chiari alle varie figure coinvolte (data scientist, data engineering, data owner, data steward, eccetera)”.

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Data trust and the evolution of enterprise analytics in the age of AI

CIO Business Intelligence

Absent governance and trust, the risks are higher as organizations adopt increasingly sophisticated analytics. Without rock-solid data foundations, even the most advanced ML models merely provide artful analysis. Getting the right data governance significantly affects operational efficiency and risk as well.