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IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

IT Briefcase Exclusive Interview: The Tipping Point – When Things Changed for Cloud Computing

with Shawn Moore, Solodev
In this interview, Shawn Moore,...

Driving Better Outcomes through Workforce Analytics Webcast

Driving Better Outcomes through Workforce Analytics Webcast

Find out what’s really going on in your business...

Legacy Modernization: Look to the Cloud and Open Systems

Legacy Modernization: Look to the Cloud and Open Systems

On the surface, mainframe architecture seems relatively simple: A...

Still keeping your hybrid power systems indoors?  It’s time for change.

Still keeping your hybrid power systems indoors? It’s time for change.

Mobile telecommunications network equipment is expected to work without...

As the Network Changes, Engineers Are Embracing the DevOps Model

As the Network Changes, Engineers Are Embracing the DevOps Model

Businesses that have embraced digital transformation with a clear...

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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