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Trakstar unlocks new analytical opportunities for its HR customers with Amazon QuickSight

AWS Big Data

It’s powered by Amazon QuickSight , a cloud-native business intelligence (BI) tool that enables embedded customized, interactive visuals and dashboards within the product experience. The power of QuickSight lets our customers slice and dice the data in different ways. Our legacy solution was antiquated and expensive.

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Business Intelligence. Dashboards.

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Will AI Increase the Reach of BI and Analytics?

Birst BI

The business intelligence (BI) assembly line is broken, with adoption or utilization rates of only 30 percent in a typical organization, according to Gartner [1]. This will enable systems, which know what data to acquire, process and analyze, to deliver the best possible actionable insight to the business user directly.

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How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. This siloed approach often resulted in data redundancy and complexity, hampering integration with other business systems.

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13 power tips for Microsoft Power BI

CIO Business Intelligence

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). You can even use large language models (LLMs) to explain features in a Power BI dataset, including easy-to-understand descriptions of complex DAX queries so less experienced users can take advantage of them.

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Ten Hidden Gems In Google Analytics: Do Smarter Web Data Analysis!

Occam's Razor

But it is totally worth it for the higher quality insights, actions and business impact computations you'll be able to deliver. My recommendation #5 will become the gateway drug to attribution modeling, media-mix modeling, and multi-channel controlled experiments. But your journey starts above.

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What AI Means to a Retailer Dedicated to Customer Experience

Birst BI

For example, retailers rely on business intelligence (BI) tools to predict future demand for products around known factors such as special events or holidays. When the data sets are large, with numerous attributes, users spend a lot of time slicing and dicing for newer insights or apply their original hypotheses to a subset of data.