Many companies gather data from customers or processes for different reasons. Few companies take full advantage of the data they store.
Taking advantage of data requires not just a knowledge of mathematics, it also requires experience and understanding of some of the novel ways in which data is being used.
We have seen analytics applications based on highschool-level algorithms generate passable results. These types of algorithms are sometimes even used by larger organisations. While passable results can be achieved, much better results can be achieved using emerging state-of-the art algorithms that are now available and often overlooked as they sometimes seem too complex or difficult to use.
Other ways of getting value from data including simple/custom visualisations. The NIAS image shown here (created by us) was created by extracting hundreds of thousands of calls from a database and generating an image of callouts that can be viewed in daily, weekly, monthly and yearly format simultaneously.
This makes it very easy to see how and when calls increase at a glance. The data can be filtered by certain types of calls to highlight which times of years certain types of callouts increase. From the image, the effects of alcohol consumption can be seen to increase callouts on Friday and Saturday nights.