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

Sisense

Today, established companies — Fortune 500 ones — have seen press around big data analytics and how the massive amount of information in their data warehouse can drive insights. They understand that there is power in data but realize that a different kind of skillset than their BI team has is needed to extract the value.

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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.

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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

At the core of data scientists’ work is BI, analytics, and data visualization. Good data science candidates should be conversant with a range of these tools such as D3 with JavaScript, among others. A Winning Combination.