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Technology is rapidly advancing, allowing companies to store an increasing amount of client and business data and information. However, taking big data and organizing it into a logical and efficient system can seem a daunting task for even the most able IT support. Rather than focusing on the system that will eventually be ordered and created, IT departments are advised to approach big data in a slow, step-by-step fashion.
Sometimes a piecemeal approach works
When IT staff are staring down millions of data points and trying to figure out how to get from point A to point Z, the best thing to do may be to create a timeline that breaks down the project into components, or distinct stages, Forbes explained.
The news source termed this "reductionism," and stated that it aids firms in reaching the next step: figuring out what they need and what goals and targets will help them get there. But, Forbes warned, companies should make sure to avoid common corporate mistakes such as allowing for "rolling targets" and "moving goals." If businesses want to achieve a comprehensive and streamlined data system, they will need to stick to firm deadlines.
Testing the structure
The first model of data organization is rarely perfect, or the best fit for that matter. As a result, IT application services departments will want to trial the system to ward off an influx of complaints and problems.
"In checkbox marketing, the moment initiatives are put in place, everyone assumes the job is done," the news source explained. "A key component of success is to carefully keep an eye on what's been implemented, then test, adjust and optimize the focus."
During this process, inefficiencies may reveal themselves to IT departments and CIOs. One of the most common issues that occurs is duplicate or simply unnecessary information. Forbes suggested that to deal with this problem, companies will want to consider filtering, which simplifies larger, more complicated jobs to present the actionable pieces of information.
The development of these systems will continue to fall on the shoulders of IT professionals. A recent article in TechRepublic called IT the "new stewards" of big data, explaining that due to concerns about security and its tech dependency companies will rely on their IT talent even more.