Big Data Doesn’t Mean Excessive Data

The business intelligence world is wrapped up in an era of discovery. The basic concepts behind this technology are well-understood and cataloged, with many companies interested in unlocking them. They are therefore interested in picking out the best practices of BI and analytics and becoming the best in their respective fields. This involves several components, including the addition of new tech tools and the restructuring of processes within departments. Many experts have offered views on this evolving field, including hints on what companies should do to move ahead of the pack in a world where everyone is committed to data use.

Big data's not everything
One of the most prominent terms involved in the BI field is "big data." However, too much of a focus on the scale of data can take away from appreciation for other important components of its analysis. Enterprise Apps Today recently reported on a presentation at the ClickZ Live Chicago conference by TDBank Group's Greg Przyklenk. He stated that too much focus on adding a host of new data sources can cause trouble. This information may not be relevant to the issues at hand and may actually muddle the insights businesses take away from their analytics projects. Relevance is the data watchword, he suggested, not scale.

Przyklenk laid down some easy guidelines for selecting the right kind of information for a particular company to analyze. This means considering what the firm requires first. If there is a problem in need of solving, the impetus is now to collect content that could address that question. If data is simply being taken in and kept around, or integrated into irrelevant processes, the effects are likely to be negative as well as expensive. This is not to say that going for bigger data is always wrong, just that there is a case to be made for pushing relevance to the front of the priorities list.

The best of both worlds
When working with BI software, it's a good practice to ensure it can handle big data if called upon but isn't limited to that functionality. After all, there are many different ways to harness content, and these extra features may prove more important than the ability to take in large content. For instance, Necto 14 can comprehend huge amounts of raw information, but it also comes equipped with many other advanced features, such as mobile-friendly dashboards and customized views that bring the whole company into the fold with analytics results. It truly is the best of both worlds – scale of data when needed and advanced features at all times.

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