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

Datapine Blog

This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. Data Analysis : Most BI skills and intelligence analyst-related skills are about using data to make better decisions.

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Your Modern Business Guide To Data Analysis Methods And Techniques

Datapine Blog

With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. Exclusive Bonus Content: Why Is Analysis Important? What Is A Data Analysis Method?

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The Role Of Data Warehousing In Your Business Intelligence Architecture

Datapine Blog

That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights. A solid BI architecture framework consists of: Collection of data. Data integration.

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What Is The Difference Between Business Intelligence And Analytics?

Datapine Blog

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. This is a competitive advantage that you cannot afford to ignore. BI and BA Use-Case Scenarios?

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Top 10 Analytics And Business Intelligence Trends For 2020

Datapine Blog

Today, most companies understand the impact of data quality on analysis and further decision-making processes and hence choose to implement a data quality management (DQM) policy, department, or techniques. According to Gartner, poor data quality is estimated to cost organizations an average of $15 million per year in losses.