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The Role of Predictive Analytics in Forecasting using Business Intelligence

Smart Data Collective

Predictive analytics is having a huge impact on the world of business. Forecasting is an essential part of any business’ growth. Thanks to advancements in predictive analytics, companies are being […] As a result, global companies are projected to spend over $28.1 billion on it in 2026.

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Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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Huge Benefits of Business Intelligence for Your Company

Smart Data Collective

Introduction: What is Business Intelligence? Business Intelligence is the collection, storage, analysis, and reporting of data to make better business decisions. It can refer to predictive analytics or even “big data.” What are the Best Features in a Business Intelligence Program?

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

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

CIO

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Clinical DSS. Forecasting models.

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What is data analytics? Analyzing and managing data for decisions

CIO

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

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Sport analytics leverage AI and ML to improve the game

CIO

Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety. Bruno says it required a multidisciplinary team of football analysts, business intelligence analysts, and the LaLiga analytics team to find success. Bruno’s advice: Create a multidisciplinary team.

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