Inside the Briefcase

IT Briefcase Exclusive Interview: Getting the Most Out of Open Source While Managing License Compliance, Risk, and Security

IT Briefcase Exclusive Interview: Getting the Most Out of Open Source While Managing License Compliance, Risk, and Security

with Kendra Morton, Flexera
In this interview, Kendra Morton,...

Why DEM Matters More Than Ever in Financial Services

Why DEM Matters More Than Ever in Financial Services

Remember waiting in line at the bank? Banking customers...

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How to Transform Your Website into a Lead Generating Machine

Responsive customer service has become of special importance, as...

Ironclad SaaS Security for Cloud-Forward Enterprises

Ironclad SaaS Security for Cloud-Forward Enterprises

The 2015 Anthem data breach was the result of...

The Key Benefits of Using Social Media for Business

The Key Benefits of Using Social Media for Business

Worldwide, there are more than 2.6 billion social media...

Predictive Analytics Project Design: A Nine-Step Guide to Realizing Business Value

July 16, 2012 No Comments

Predictive analytics continues to develop as a key decision technology across virtually every type of business because of its promise to enhance business performance and derive significant competitive advantage.

The business performance enhancements achieved are generally based on more effective allocation of the organization’s resources, especially in functional areas such as marketing, attrition/retention, fraud, risk management, and other areas where relatively low-incidence behaviors have a significant impact on business performance.

Technology is also critical. Yet a project’s success is primarily determined by strategic technology implementation—not by the technologies themselves. No piece of software, and no algorithm, understands the domain of the decision process or the project team’s unique performance metrics.

Ultimately, predictive analytics projects are evaluated based on their return on investment and by the contribution they make to the business objectives of the sponsoring organization. That contribution is always based on each organization’s unique project performance metrics. This TDWI Checklist Report examines the strategic steps that predictive analytics project teams must take in order to define, design, and implement successful projects.

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