When you run an intelligent operation and use data to make insights-centric decisions, you’re able to move with momentum. By taking out the guesswork of what consumers want, you’re able to iterate and innovate faster than before, while mitigating risk. Data as a Service providers help create systems to extract that data and use it to personalize experiences quickly, methodically, and strategically.

Take a look at Chicisimo’s machine learning approach as a good example. This app helps its users decide what everyday outfit is right for them based on personal preferences. As you can imagine the results are quite subjective, so in order to accomplish its goal, the founders knew that they needed to personalize the experience. They turned to consumer data to tailor how the person used the app.