Data has become readily available for business intelligence and other professions that deal with data, like never before; it’s the way we have come to understand the digital environment. Without data, we won’t know who are customers really are, which will in turn affect how we deliver services to them. If data were absent, your digital media ads won’t work. Oh, Google Analytics is great? Without data, it is as good as a failed science fair project. Data is what injects soul into the different efforts on digitalization such as machine learning and artificial intelligence.
However, with this influx of data comes a great need for data preparation tools like never before. You see, the data that we get from different places all over the internet are like wheat harvested from a farm. There are processes they need to undergo before they can become usable and beneficial.
