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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Foreword for the book. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics.

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Business Intelligence vs Data Science vs Data Analytics

FineReport

It can be defined as a combination of statistics, math, and computer science techniques employed to discover the patterns behind data and thus help the decision-making process. Data science generally refers to all the knowledge, techniques, and methods used for data analysis, while data analytics is the manner of analyzing massive data.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Prescriptive Analytics. In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts. This shows why self-service BI is on the rise. Using the information in making business predictions is not a new trend. SAP Lumira.

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Data Visualization and Visual Analytics: Seeing the World of Data

Sisense

The primary objective of data visualization is to clearly communicate what the data says, help explain trends and statistics, and show patterns that would otherwise be impossible to see. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. Try this: Tie Your Data and Analytics Initiatives to Stakeholders and Their Business Goals. We have published some case studies.

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What Is Embedded Analytics?

Jet Global

Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. These advanced analytics become easy for users to apply in their own analyses. Statistically speaking, you increase your likelihood of success simply by putting your goals on paper.