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How IBM Planning Analytics can help fix your supply chain

IBM Big Data Hub

With the right technology-foundation in place, it becomes easier to tackle the business alignment questions, starting with designing an end-to-end integrated business planning process that will lead efficiently to a consensus forecast (or plan). In a manufacturing, distribution or retail context, this is the supply plan.

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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. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components. Diagnostic analytics: Diagnostic analytics helps pinpoint the reason an event occurred.

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Consider the Benefits of Augmented Analytics

Smarten

Users can replace guesswork and opinion with fact-based presentations and recommendations for more measurable analysis of trends, product pricing, financial investment, manufacturing and production and all other business factors. Every business needs to understand how these solutions can and will affect users, processes and workflow.

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Announcing the 2021 Data Impact Awards

Cloudera

With use cases across Manufacturing, Financial Services, Healthcare, and beyond, our customers showcased immense innovations in tackling some big challenges. Industry Transformation: Telkomsel — Ingesting 25TB of data daily to provide advanced customer analytics in real-time .

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What is the Paired Sample T Test and How is it Beneficial to Business Analysis?

Smarten

Manufacturing – Has the cycle time or defect instance been reduced following a particular process change. Let’s look at two use cases to better understand the benefit of this technique in business analysis. This type of analysis can be useful in numerous situations. Use Case – 1.

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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. Which pricing strategies lead to the best business revenue?