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IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

IT Briefcase Exclusive Interview: Keeping Your (Manufacturing) Head in the Clouds

with Srivats Ramaswami, 42Q
In this interview, Srivats Ramaswami,...

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

IT Briefcase Exclusive Interview: New Solutions Keeping Enterprise Business Ahead of the Game

with Sander Barens, Expereo
In this interview, Sander Barens...

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
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Driving Better Outcomes through Workforce Analytics Webcast

Driving Better Outcomes through Workforce Analytics Webcast

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Legacy Modernization: Look to the Cloud and Open Systems

Legacy Modernization: Look to the Cloud and Open Systems

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Real-time Infrastructure for Decision Management

April 18, 2012 No Comments

It used to be that analytics were applied in batch, updating the database with a score or customer segment based on yesterday’s data.

It used to be that these models could take months to implement, so that the models themselves were based on data that might be months out of date.

It used to be that analytic teams could just produce scores or other predictive models and leave it to someone else to worry about how they might be used and integrated into operational systems.

But today’s world is real-time. Customers want answers in real-time. This means companies must decide in real-time using up to the minute data. And the world is changing fast so models need to be built with up to date data and rapidly deployed to keep them fresh and accurate.

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