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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics and data science are closely related.

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AI+BI: Augmented analytics will soon bring data-driven insight to the masses

Birst BI

For the vast majority of information workers, this is the definition of self-service analytics. But to build that dashboard, someone has to assemble all the components, the key performance indicators (KPIs), the data visualizations, and all of the dashboard’s data feeds. The barrier of entry to BI remains high.

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What is the Chi Square Test of Association and How Can it be Used for Analysis?

Smarten

Finance – An organization might use this technique to Identify if demographic factors influence banking channel/product/service preference or selection of a type of term plan of an insurance etc. How Can the Chi Square Test of Association Be Used for Business Analysis?

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Data Science, Past & Future

Domino Data Lab

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. You know, companies like telecom and insurance, they don’t really need machine learning.”

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Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

Smarten

SVM Classification Analysis: What is SVM Classification Analysis and How Can It Benefit Business Analytics? FP Growth Analysis: What is FP Growth Analysis and How Can a Business Use Frequent Pattern Mining to Analyze Data? Trends and Patterns: What Are Data Trends and Patterns, and How Do They Impact Business Decisions?

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What is the Holt-Winters Forecasting Algorithm and How Can it be Used for Enterprise Analysis?

Smarten

Business Benefit : Helps in planning for repeat telecast and for more advertisement (fund raising) if the projected count of viewers is high. Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. 2) Double Exponential Smoothing Use Case.