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The 6 Things to Look for When Sourcing Quality Data

April 19 2017

oi sourcing quality data

Onboard Informatics has been aggregating data for 15 years. We strive to provide quality data for our clients that it easy to use and effective, but what does that really mean? If you want to make sure the data you use is quality data, there are six key things to look for. In this blog, I'll explore each element, why it's important, and the potential ramifications if it's off.

There are many ways to examine the quality of data, but these are the main components:

1. Is the Data Complete?

When we talk about completeness in the context of data, we are really talking about the final user experience. In other words, will the data meet or exceed user expectations?

If you are building a real estate tool that provides home sellers a recap of the last sales price of all the properties within a specific area, you want to make sure the dataset will account for all the home sales. If there are significant gaps, whether in time or area, the end user will notice and you will instantly lose credibility.

When you are looking for a data source, find out how often the data is updated, the source of the data and the overall coverage to make sure it is complete.

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