Remove Business Intelligence Remove Data Governance Remove Descriptive Analytics
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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

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. Every business needs a business intelligence strategy to take it forward. . 2 Plan your objectives (and map the supporting data). And it can do the same for you.

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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

For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel.

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Your data’s wasted without predictive AI. Here’s how to fix that

CIO Business Intelligence

Descriptive analytics: Where most organizations begin and linger Descriptive analytics answers the question: What happened? These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance.