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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...

The 5 Most Common Application Bottlenecks

The 5 Most Common Application Bottlenecks

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

The Secret to Big Data Project Success Through Analytics

April 20, 2017 No Comments

SEVEN SECRETS TO BIG DATA PROJECT SUCCESS 

Here are the factors they see as contributing to big data success — and the ones that can spell big data failure.
Big data can mean bad analytics, says Harvard professor.

Just ask Doug Laney, an analyst with Gartner Inc.; Mike Gualtieri, an analyst with Forrester Research Inc.; and Robert Morison, lead faculty member at the International Institute for Analytics — three big data experts whose work gives them a view into how companies are using big data. Here are the factors they see as contributing to big data success — and the ones that can spell big data failure.

Download now The Secret to Big Data Project Success Through Analytics

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