Big data has had a profound and relatively immediate impact on the public and private sectors, as more companies begin to leverage the tools for a wide range of purposes and objectives.
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.
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.
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 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?
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.
Predictive analytics are capable of recommending calculated decisions to users and change advice based on a feedback system.
Public and private sector organizations have embraced big data in a much bigger way throughout the past several years, adopting the technology to ensure that decision making and market intelligence are on point.
Businesses have started to embrace big data in greater numbers and intensities throughout the past few years, directly leading to a high rate of firms working to move their information around and re-position the content to be useful in an analytics strategy.
The dramatic increase in information volumes around the globe has ushered in a new era of analytics capabilities, but has also placed a bit of strain on the average business infrastructure.