New cloud-based technologies can lead to great gains for organizations, but also confusion. For optimal results, deployment of a solution using "big data" requires knowledge as well as the right tools. Since inaccurate information and myths about cloud computing could easily proliferate online, it is especially imperative that businesses do what they can to learn more about the benefits of big data.
One of the first steps to efficient use of newer processes is learning how big data works. In an article for Live Science, Dan Hogan of the medical analytics program Medalogix dispels some of the still-lingering myths surrounding big data and its uses.
According to Hogan, misunderstandings surrounding big data can go to extremes, with the inexperienced overestimating what it is and can actually help users do. As he puts it, data on its own "has no value" on its own and doesn't necessarily lead to any revolutionary changes. It's the quality of the information itself, and the way it is used, that determines how beneficial it ultimately is.
"All big-data technologies need to create processes so that someone can take the information and implement it — otherwise, the outcome is just information," he writes. He goes on to add that the size of an organization doesn't dictate how useful big data is, either, saying that "there are big-data technologies geared toward almost every industry, because most organizations, including smaller ones, produce enormous amounts of data."
With more accurate information about the possible uses of data, organizations will have an easier time undertaking major IT projects. For example, a legacy system modernization process that brings older applications into a web-based space could go more smoothly if the service involved is efficient, adaptable and easy to implement.