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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. How do predictive and prescriptive analytics fit into this statistical framework?

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MRO spare parts optimization

IBM Big Data Hub

Many managers in asset-intensive industries like energy, utilities or process manufacturing, perform a delicate high-wire act when managing inventory. 2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. What’s at stake? trillion, up from USD 864 billion in 2019 to 2020.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

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What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

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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. Forecasting models. Analytics, Data Science Clinical DSS. These systems help clinicians diagnose their patients.

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. AI comes handy for managing inventory, manufacturing, production and marketing. AI in Finance. AI Platforms.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics. “As That is the domain of AI and advanced analytics that serve a role beyond just insight and business optimization.