Self-service data preparation tools are rapidly being recognized as a necessary component of any data discovery or advanced analytics implementation. But at the enterprise level it’s critical for your solution to be able to bridge the gap between the ease-of-use and agility that business users demand and the scalability, automation and governance required by IT.
By resolving to harness the power of the data they already have, healthcare organizations will be able to identify patterns more quickly and accurately, and pinpoint opportunities to reduce waste and costs. And, more importantly, they’ll be able to better allocate resources to enhance patient outcomes and improve the quality of care.
The regulatory concepts involved with big data are still extremely new, as the technology has not been in the mainstream for more than a couple of years and laws take a while to formulate and pass in any nation.
Advanced analytics technology remains one of the hottest segments of the IT sector today, and this is expected to be the case for years to come thanks to several trends that make these solutions more desirable among the world's private and public industries.
As big data becomes a more central aspect of corporate strategy, many firms might be missing some of the more important steps toward optimal information governance in their backend systems and everyday operations.
Business intelligence solutions have been helping leaders identify opportunities for process and operational improvements for decades, but today's advanced analytics are far beyond those of the past in terms of effectiveness, efficiency and power.
The holiday shopping season has set in, and retailers will have a range of opportunities to collect valuable data related to customer behaviors, analyze it with advanced intelligence solutions and apply the insights to future strategies.