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How Machine Learning Helps Improve the Security Industry

How Machine Learning Helps Improve the Security Industry

We’ve been moving more and more towards computerized processes...

IT Briefcase Exclusive Interview: As Container Adoption Swells, So Do Security Concerns

IT Briefcase Exclusive Interview: As Container Adoption Swells, So Do Security Concerns

Fei Huang, NeuVector
In this Fresh Ink interview segment,...

6 Marketing Strategies for Your Small Business

6 Marketing Strategies for Your Small Business

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Inside the Play Business: The Influence of JavaScript in Android Applications

Inside the Play Business: The Influence of JavaScript in Android Applications

The mobile gaming industry is one of the most...

How Technology Continues to Change the Health Sector

How Technology Continues to Change the Health Sector

Thanks to the latest health care technologies, more people...

What is Operationalizing Analytics?

October 29, 2012 No Comments

SOURCE:  SaS

Many organizations are beginning to understand the potential of analytics to combat fraud, improve customer relationships and drive more profitable decisions. However, they’re often applying it as a standalone activity isolated from everyday business operations and decisions, limiting its true value.

Written by James Taylor, CEO of Decision Management Solutions, this paper describes how to create immediate and significant value by embedding predictive analytics into daily decision operations and processes. The paper’s content is straightforward and non-technical, approachable by anyone interested in operationalizing analytics.

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