Ai in Customer Analytics BG
Ebook

AI in Customer Analytics: Tapping Your Data for Success

There’s no shortage of data on customers these days. Companies are collecting reams of it to get the best insights on their customers. But optimizing those insights to make the most effective business decisions is a hurdle that many companies have yet to overcome.

AI offers the bridge that companies are looking for to transform how they connect with their customers, target communications, and create the best customer experience possible.

Our ebook, AI in Customer Analytics: Tapping Your Data for Success, takes a deep dive into the many ways that companies can put their AI to work for better customer success.

Download this ebook to learn how AI can help you:

  • Get the attention of customers who are more connected than ever
  • Determine product assortment and supply
  • Target marketing promotions
  • Reduce customer churn
  • Determine the next best offer
  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant