Subscribe to DSC Newsletter

The Science of Segmentation: What Questions Should You Be Asking Your Data?

Enterprise companies starting the transformation into a data-driven organization ​often ​​wonder where to start. Companies have traditionally collected large amounts of data from sources such as operational systems. With the rise of big data, big data technologies and the ​I​nternet of ​T​hings​ (IoT)​, additional sources​ – such as sensor readings and social media posts​ – are rapidly becoming available. In order to effectively utilize both traditional sources ​and new ones, companies first need to join and view the data in a holistic context. After establishing a data lake to bring all data sources together in a single analytics environment, one of the first data science projects ​worth exploring is segmentation​, which automatically identif​ies​ patterns.

In this DSC webinar, two Pivotal data scientists will discuss:

· What segmentation is
· Traditional approaches to segmentation
· How big data technologies are enabling advances in this field

They will also share some stories from past ​d​ata ​s​cience ​engagements, ​outline ​best practices and discuss the kinds of insights ​that can be derived from a big data approach to segmentation using both internal and external data sources.

Panelist:
Grace Gee, Data Scientist​ -- Pivotal​
Jarrod Vawdrey, Data Scientist -- Pivotal​

Hosted by:
Tim Matteson, Co-Founder -- Data Science Central

Views: 891

Comment

You need to be a member of Data Science Central to add comments!

Join Data Science Central

Videos

  • Add Videos
  • View All

© 2019   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service