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How to improve manufacturing ROI with prescriptive analytics

IBM Big Data Hub

Prescriptive analytics helps companies see where process improvements could have the biggest, most immediate impact on their bottom line.

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

Rocket-Powered Data Science

But it is not a failure — its actual success (and positive ROI) is discovered by the graph analytics algorithm through the transitive relationship between the marketing campaign and the final customer purchase, through an intermediary (entity-in-the-middle)! The campaign looks like a failure. community detection ).

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Prescriptive Analytics. Increase in ROI. The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. This shows why self-service BI is on the rise. With BI solutions identifying areas for cost savings is easier.

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Understanding BI Tools in Today’s Market

Smarten

It includes predictive and prescriptive analytics and is used to gain insight into data and plan for the future using sophisticated features like key influencer analytics, sentiment analysis, embedded business intelligence, assisted predictive modeling, anomaly alerts, natural language processing (NLP) for simple search analytics and other features.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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A Guide to Data Analytics in the Travel Industry

Alation

How is data analytics used in the travel industry? The travel and tourism industry can use predictive, descriptive, and prescriptive analytics to make data-driven decisions that ultimately enhance revenue, mitigate risk, and increase efficiencies.

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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?