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.
As the big data marketplace moves closer to a point of mass-maturity, business leaders have begun to take new approaches to implementation and utilization.
With more companies leveraging big data solutions and storing massive quantities of information, experts, analysts, advocacy groups and government officials alike have been increasingly concerned about security and privacy.
In 2009, the Health Information Technology for Economic and Clinical Health Act went into effect in the United States, completely transforming the ways in which medical firms are required to handle their information.
Organizations in virtually every industry are beginning to invest more in advanced analytics technology, driven by the desire to leverage the massive volumes of information they currently generate, store and collect in more progressive strategies.
Big data has spread rapidly in the past few years, with more companies beginning to allocate resources and budget to advanced analytics endeavors in virtually every industry and region of the United States.
As big data becomes a bit more popular across industries, it has become clear that businesses are struggling to monetize their efforts in the analytics arena despite the progressive advances taking place among the technology's developers.
As more companies complete their mass-digitization of files and records - which has been a long and sometimes painful process - they are beginning to find value in the use of analytics and intelligence solutions.