Data Visualization Blog

The preparation side of data visualization

Posted by Dan Potter

The preparation side of data visualization As big data analytics continues to become more commonly used among businesses of all sizes and in virtually all industries, some of the more challenging aspects of deployment, management and optimization have started to come to light.

Two visualizations that do a great job delivering information

Posted by Jon Pilkington

An algorithm can translate the data, but a visualization can bring it to life. You could have the most sophisticated data analytics engine at your disposal, but it means next to nothing if you can't make sense of the finished intelligence.

Health care’s big plans for data analytics

Posted by Michael Morrison

Health care's big plans for data analytics The health care sector has been among the most aggressive in its pursuit and adoption of modern technologies throughout the past several years, while many progressions have been entirely data-centric.

Data analytics making waves in medical sectors

Posted by Michael Morrison

Data analytics making waves in medical sectors Perhaps the most exciting industry to watch in the data analytics revolution is health care, where companies are at once working to achieve internal optimization and maintain compliance with external regulations through the use of intelligence solutions.

How can data analytics spread across the business?

Posted by Michael Morrison

How can data analytics spread across the business? In the past several years, one of the main themes in corporate computing has been the consumerization of IT, characterized by increasingly complex demands of employees for access to the most advanced technology out there.

How organizations are using analytics to prevent fraud

Posted by Michael Morrison

Merely identifying someone suspected of committing fraud isn't enough. How are enterprises identifying fraud when it's committed? Better yet, how are they using technology to help them prevent it from happening in the first place?

How is data visualization getting put to work?

Posted by Jon Pilkington

How is data visualization getting put to work? Big data has represented a major turning point for businesses, public sector agencies and researchers from around the globe, and the best appears to just be getting better in these intelligence strategies.

The backend demands of data analytics

Posted by Jon Pilkington

The backend demands of data analytics Big data has become a household name in the past few years, and more industries are beginning to embrace the technology with the passing of each day.

Data preparation: A necessary step, an annoying hurdle?

Posted by Dan Potter

The data preparation process isn't as easy as some make it out to be. When discussing data analytics, professionals working with the technology often refer to the process of collecting raw information and turning it into "actionable intelligence" - a phrase my colleagues and I find to be overused.

Why prescriptive analytics is the new standard

Posted by Michael Morrison

Learning what you're doing right now is one thing, but determining the best course of action for the future is another. Predictive analytics are capable of recommending calculated decisions to users and change advice based on a feedback system.

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