Inside the Briefcase

The 5 Most Common Application Bottlenecks

The 5 Most Common Application Bottlenecks

Application bottlenecks can lead an otherwise functional computer or...

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...

Transformation on a Global Scale

Transformation on a Global Scale

Necessity may be the mother of invention, but it’s...

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

One of the main problems facing small businesses is...

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.

Download PDF

DATA and ANALYTICS , Featured White Papers

Leave a Reply

(required)

(required)


ADVERTISEMENT

UC Expo

SSOW

sptechcon

ITBriefcase Comparison Report