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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Decision support systems vs. business intelligence DSS and business intelligence (BI) are often conflated.

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What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Predict the impact of new policies, laws, and regulations on businesses and markets.

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Top 8 predictive analytics tools compared

CIO Business Intelligence

Predictive analytics tools blend artificial intelligence and business reporting. The quality of predictions depends primarily on the data that goes into the system — the old slogan from the mainframe years, “garbage in, garbage out”, still holds today. Supports larger data management architecture; modular options available.

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). Examples: (1) Automated manufacturing assembly line. (2) See [link]. Industry 4.0

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Take Your SQL Skills To The Next Level With These Popular SQL Books

datapine

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

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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.