Unlock the potential of Data Science

Organizations are amassing vast volumes of data from online transactions, connected devices and people. This data holds many insights about your operations, performance, customers and competitors, but few organizations have really unlocked this potential.

Data Science has the ability to find the patterns in the data. It tells you how your customers behave and what will interest them. It tells you where and when to supply the latest batch of this season’s product. It tells you which components in your network are liable to fail. It tells you who is likely to defraud you. Ultimately it unlocks the next level of performance for your organization.

Data science – development of data product

A “data product” is a technical asset that: (1) utilizes data as input, and (2) processes that data to return algorithmically-generated results. The classic example of a data product is a recommendation engine, which ingests user data, and makes personalized recommendations based on that data. Here are some examples of data products:

  • Amazon’s recommendation engines suggest items for you to buy, determined by their algorithms. Netflix recommends movies to you. Spotify recommends music to you.
  • Gmail’s spam filter is data product – an algorithm behind the scenes processes incoming mail and determines if a message is junk or not.
  • Computer vision used for self-driving cars is also data product – machine learning algorithms are able to recognize traffic lights, other cars on the road, pedestrians, etc.