20th April 2020
In the last 10 years behavioral data, including data from web, mobile, connected devices and wearables has been leveraged in more and more use cases. Different teams across the business need this data to understand and tailor experiences to smaller segments of users and individuals, and using new techniques like AI.
This growth in usage and importance of behavioral data means that companies have stricter requirements on the quality - the accuracy and completeness of that data, than ever before. Delivering on that quality is hard, because it requires a concerted effort from everyone involved in the data production pipeline.