What does decentralized data discovery mean for the future?

April 08, 2015 by Alex Collins, IT Services Consultant

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Data discovery is shifting to a more decentralized model, which means that more businesses and individuals are using platforms to find insights faster than ever before. That is going to change the game in the future, according to technology research firm Gartner, which predicts that most business users and analysts in organizations will have access to self-service tools to prepare data for analysis by 2017. With this shift already upon us, it's important for both businesses and individuals to start considering it seriously. Business intelligence platforms have seen rapid, recent growth, and they are becoming a lot more user-friendly in that they are providing self-serve tools that individuals and businesses can use with relative ease.

Self-Serve is the Future

Having self-serve options for BI in the cloud and for data analysis and preparation is the key to the value of decentralized data discovery. People who are looking to analyze and compile data for their businesses are able to get it in a number of places through a variety of means. They aren't required to use one centralized location for collection, one particular program for analysis, or one certain company for storage. They also don't need to have another, outside company analyze their data, because they can do it themselves.

In the past, most businesses didn't do their own data analysis. Doing so wasn't realistic for them, because they didn't have the programs or the skills. Now, the programs are readily available - and the skills needed are far fewer than they were in the past. The programs do most everything for the user, and most of them are very intuitive in a way that past programs were not. Because of the intuitive value of these programs, it is not difficult to learn to use them properly. Individualized, decentralized data discovery is truly the future.

Discovering (and Using) Data is Getting Smarter

It's not just the people who use the data who are getting smarter about how they are using it. The programs they use are also getting smarter and being created to be more intuitive over time. The way BI is shifting is making data more ripe for analysis and less likely to be used only to report. It's fine to talk about what the data is, but that doesn't provide insight into what the data means. Shifting ideas provide new ways to look at that issue.

The more data can be analyzed easily and quickly, the more likely it is that the data will be addressed properly, and that it will be used to provide BI to the company that is analyzing it. Then, that analysis can be used to provide more value for customers, thus increasing the company's bottom line.