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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The demand for real-time online data analysis tools is increasing and the arrival of the IoT (Internet of Things) is also bringing an uncountable amount of data, which will promote the statistical analysis and management at the top of the priorities list. 4) Predictive And Prescriptive Analytics Tools. How can we make it happen?

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2

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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? How does that work in practice?

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Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? The commercial use of predictive analytics is a relatively new thing. Prescriptive Analytics: What should we do?

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What is the difference between business analytics and business intelligence? Prescriptive analytics: What do we need to do?

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

Rocket-Powered Data Science

Consider this marketing attribution use case: person A sees the marketing campaign, person A talks about it on their social media account, person B is connected to person A and sees the comment, and subsequently person B buys the product. How does one express “context” in a data model? The campaign looks like a failure.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

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.