March 28, 2019 BY WorkSocial Press and Editorial
Most companies have a lot of data—volumes of it, in fact.
It’s not stored neatly and it’s not all in the same place. If your company is like most, your data is housed on several servers, maybe thousands of miles apart, and comes in a number of different formats, i.e. Microsoft Excel, XML, SAS, .tab, .shp. Some of it may be unstructured data, such as your Twitter feeds, Facebook likes, Google Analytics, and online surveys.
If tasked with bringing all this data together for analytical purposes, you may be wondering exactly how to pull this off.
Here’s the thing: Excel and Access are in over their heads with the level of data. Your IT department can write code, but there is an easier solution that offers a fast and simple way to blend data: Alteryx.
Alteryx was built for data. It’s that simple. It allows the data analyst direct access to the data regardless of its type or source. Alteryx brings data of any type or any level together. This means that it can be joined at both the record and field level. It can even be expanded to include multiple key fields. Alteryx is flexible enough to join data on non-identical fields, as well as incorporate spatial characteristics such as customer points to be combined into your data. Other tools like Fuzzy Matching give users the ability to match two datasets based on non-matching data—typically names and addresses.
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