Do you ever feel like you are drowning in a sea of data? You are not alone! Most companies have methods of collecting data, lots of data, and storing it for future analysis. The problem is that there is so much of it that it’s hard to know where to begin.

The first step is to organize the collected information in your data-rich company.  You need to assess the data to see what kind of shape it is in and if it is in a usable format.  More often than not, the data will require some “massaging” in order for it to be analyzed. There are methods for cleansing and consolidating data to improve its quality and build a solid base for predictive analytics. This can be a daunting task for anyone who is not well versed in data analysis. But take a breath - you’ve got this!


In this mini-series, we will discuss how to recognize “dirty data” and some basic options to help you scrub it clean and make it shine!