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Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. What is the point of those obvious statistical inferences? Let’s define what these are.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The vast scope of this digital transformation in dynamic business insights discovery from entities, events, and behaviors is on a scale that is almost incomprehensible. Traditional business analytics approaches (on laptops, in the cloud, or with static datasets) will not keep up with this growing tidal wave of dynamic data.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

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A Retrospective of 2018’s Articles

Peter James Thomas

These are as follows: General Data Articles. Data Visualisation. Statistics & Data Science. Analytics & Big Data. How to Spot a Flawed Data Strategy. Data Visualisation. Statistics & Data Science. Data Science Challenges – It’s Deja Vu all over again!

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More Definitions in the Data and Analytics Dictionary

Peter James Thomas

Data Controls. Data Curation (contributor: Tenny Thomas Soman ). Data Democratisation. Data Dictionary. Data Engineering. Data Ethics. Data Integrity. Data Lineage. Data Platform. Data Strategy. Data Wrangling (contributor: Tenny Thomas Soman ).

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A Picture Paints a Thousand Numbers

Peter James Thomas

See also: Data Visualisation according to a Four-year-old. Some authorities describe them as any diagram using a map to display statistical data; I cover this type of general chart in Map Charts below. Especially for all Business Analytics professionals out there. Business logic [My adaptation]. Cartograms.

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Data trust and the evolution of enterprise analytics in the age of AI

CIO Business Intelligence

For many, the level of sophistication can easily range from more sophisticated solutions like Power BI, Tableau, SAP Analytics or IBM Cognos to mid-tier solutions like Domo, Qlik or the tried and true elder statesman for all business analytics consumers, Excel.