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A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. b) If You’re Already In The Workforce.

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Data Engineer vs Data Scientist: What’s the Right Fit for Your Company?

Sisense

To extend our analogy, if the data scientist is the diamond cutter, then they pass the material on to the last expert in the chain – the jeweler (business analyst) – to create something valuable for a non-expert audience. They enable their business colleagues to visualize findings, trends and patterns based on their analysis.

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Building Bridges: Data and BI Teams Partnering on an Analytics Solution

Sisense

While the BI analysts have skills to ask questions of already modeled data, they often lack the coding acumen to query massive unstructured datasets in data lakes or cloud data warehouses. The current tool is hamstringing my abilities, and I’m not able to use my full skillset.

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Elevate Insights: How Embedded Analytics Boost Decision Intelligence

Insight Software

This intuitive approach cuts through technical barriers, transforming even non-technical users into data-savvy decision makers. Advanced Analytics Functionality to Unveil Hidden Insights Logi Symphony allows you to perform on-the-fly data modeling to swiftly adapt and integrate complex datasets directly within your existing applications.