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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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Role of Workforce Analytics in Event Industry

BizAcuity

Human resource leaders are using workforce analytics under various forms such as predictive and prescriptive analytics. Workforce analytics is helping Human Resource leaders in determining the capabilities of the people or employees such as which tasks best suits them, how to ensure they remain satisfied with or in their roles.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

When data science was in its “early days” within businesses, the data scientists mostly worked offline with static sources (like databases or web-based reports) to build and test analytics models for potential deployment in the enterprise.

Analytics 166
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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Prescriptive analytics: What do we need to do? Simplilearn adds a fourth technique : Diagnostic analytics: Why is it happening? Kaiser Permanente streamlines operations.

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Pay for in-demand IT skills rises fastest in 14 years

CIO Business Intelligence

Foote does not report on any SAP certifications, but among the 579 certifications it does report on, architecture, project management, process and information security certifications remain the most valuable, commanding a pay premium of just over 8%.

IT 113