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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

While its operation could throw many challenges your way, it presents even more and bigger opportunities. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

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Disrupt and Innovate in a Data-Driven World

Cloudera

Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques. However, it presents obvious drawbacks: given the expense and time required to conduct surveys we frequently operate based on information that is years old. In many settings this is the best information available.

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Prescriptive Analytics – a Winning Bet for Casinos

BizAcuity

While its operation could throw many challenges your way, it presents even more and bigger opportunities. The need for prescriptive analytics. Prescriptive analytics is the area of business analytics (BA) dedicated to finding the best course of action for a given situation.

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What Is The Difference Between Business Intelligence And Analytics?

datapine

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is Business Intelligence And Analytics? Usage in a business context.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Note that there’s not enough room in an article to cover these presentations adequately so I’ll highlight the keynotes plus a few of my favorites. One of my favorite presentations—and the one I kept hearing quoted by attendees —was the day 1 keynote “ Data Science at Netflix: Principles for Speed & Scale” by Michelle Ufford.