Why it’s time for spring cleaning of your data preparation process

Datawatch clean your dataIBM estimates that 2.5 quintillion bytes of data are created each day. Of course, your organization produces just a small fraction of that total amount, but it’s the most important data for your business analysts.

Unfortunately, finding what’s important is a major time drain. Data analysts spend 80 percent of their time manually sorting through data to compile spreadsheets. They’re copying and pasting data from one document to another, and building micros and formulas to process complex numbers. Most of this brute force work is time-consuming, expensive, and inefficient; manually preparing, cleaning, and consolidating data from different sources is a near-impossible task, not to mention the potential for error or bias.

Clean, accessible data is no longer a “nice to have,” but a critical business asset that drives compliance in the health care field, for example. The more data an organization collects from disparate systems and applications, the more complicated it becomes to process into clean, easily digestible spreadsheets. All organizations face data challenges, but enterprise organizations in particular are dealing with terabytes of disparate data from a variety of sources, both internal and external. Continue Reading…

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