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Bring Data To The Other 80% Of Business Intelligence Users

Forrester IT

Many of us remember the old days of enterprise business intelligence (BI) delivery where all requests for new or changed queries, reports, and dashboards had to go through a centralized IT team of BI and data professionals.

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Key finding from Forrester’s latest BI research including The Forrester Wave™: Augmented Business Intelligence Platforms, Q2 2023

Forrester IT

Enterprise business intelligence (BI) continues to be the last mile to insights-driven business (IDB) capabilities. No matter what technology foundation you’re using – a data lake, a data warehouse, data fabric, data mesh, etc.

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Leveraging Gen AI on Structured Enterprise Data

IT Toolbox

Discover the future of business intelligence and the transformative power of generative AI in data analysis. The post Leveraging Gen AI on Structured Enterprise Data appeared first on Spiceworks.

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Push-Down Query Capabilities: Five Questions To Ask Your Cloud BI Provider

Forrester IT

Clients of most leading enterprise business intelligence (BI) platforms enjoy this cloud elasticity benefit but at a cost. Ultimately, elasticity requires both application and data components (compute and store) to be elastic, […].

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources.

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BI Is Dead; Long Live BI

Forrester IT

The perception of legacy enterprise business intelligence (BI) platforms comes with some legitimate stigma and baggage.

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The Future Of BI — No, It’s Not As Simple As “The Dashboards Are Dead”

Forrester IT

Over the last couple of decades, we’ve been observing a seemingly impenetrable barrier: No more than 20% of enterprise decision-makers who could be using business intelligence (BI) applications hands on are doing so. The other 80% still rely on the data and analytics skills of those 20% who do use BI applications.