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.
Big data is among the more powerful but misunderstood technologies out there today, as so many organizations have deployed the solutions but very few have actually enjoyed optimal results and performance shortly after implementation.
Business leaders, government officials, health care providers and others have largely viewed big data with excitement and hope given the immense opportunities the technology grants to improve operational processes, quality control and more.
Communication has been a persistent issue within the big data movement, holding companies back from enjoying optimal returns on investment and progressive functionality.
The systems and techniques used to manage data have evolved quickly in the past few years, presenting businesses with a double-edged sword of sorts that involves a combination of risks and opportunities.
As big data continues to spread across industries and regions more quickly than ever before, one of the prevailing themes has been the misuse or lack of understanding among companies that holds them back from achieving optimal returns on investment.
The big data revolution has started to shift into higher gears of late, with a much larger volume and greater diversity of organizations deploying the solutions and aligning them with a wider range of objectives and requirements throughout operations.
Market research, product management, client relationships and waste reduction have appeared to be the primary objectives of big data users in the past few years, but the applications of the technology are expanding quickly.