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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Another dimension to this story, of course, is the Future of Work discussion, including creation of new job titles and roles, and the demise of older job titles and roles. trillion by 2030.”.

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MRO spare parts optimization

IBM Big Data Hub

trillion, up from USD 864 billion in 2019 to 2020. 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Is it easier said than done?

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The Right Tool and Advantages of Analyzing Lifetime Value and Churn

BizAcuity

The years 2019 and 2020 have seen a spike in mobile gaming as a whole because people have been finding it extremely difficult to cope with social isolation and finally got some respite in such platforms. They also focus on revenue forecasting and campaign planning. iGaming as an industry is expanding like never before.

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7 Advantages of Using Encryption Technology for Data Protection

Smart Data Collective

Statistics show that poor data quality is a primary reason why 40% of all business initiatives fail to achieve their targeted benefits. A market forecast from Grand View Research assessed the encryption software market and gave a projection for the period from 2019-2025. This article has been updated on Sep 25th, 2019.

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9 Ways Location Data Can Help You Excel in Retail

Smart Data Collective

trillion in 2019? Enhance the client experience Better Understand Customer Demographics Forecast customer behavior Improve pricing decisions Highlights Expansion Potential Improve product display in-store Reduce customer acquisition expenses Improve the online customer experience Customer persona identification.

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Data Optimization Facilitates Pinterest And Instagram Marketing

Smart Data Collective

Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. In 2019, Pinterest has 250 million active users. The good news is that predictive analytics makes it much easier to forecast trends and prepare for them.