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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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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)! 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. Features: design and visualizations interactive dashboards real-time data analysis wide capabilities for data extraction and processing integration with a wide range of third-party services (Oracle, Teradata, Excel, Google Cloud). This shows why self-service BI is on the rise.

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Analytics Translator? Citizen Data Scientist? What is the Difference?

Smarten

Gartner defines a Citizen Data Scientist as ‘a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics.’ What is a Citizen Data Scientist (Citizen Analyst)?

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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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What Is Embedded Analytics?

Jet Global

As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. When visualizations alone aren’t enough to set an application apart, is there still a way for product teams to monetize embedded analytics? cost reduction).

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

The most important education/familiarity (as you ask it) in my view is to understand or be intrigued with how humans take decisions; a desire to learn how we think and behave; and a working knowledge for how a business outcome, process and data interact. Yes, prescriptive and predictive analytics remain very popular with clients.