en

Improve Customer Targeting With
Business Knowledge

The Dataiku Solution for Customer Segmentation for Banking uses customer product and demographic data with machine learning (ML) clustering models to compute new, data-enriched segments.

 

Understand
Revenue Share,
Product Mix, and More

Develop comprehensive insight into your customer base by aligning your existing tiering and cross-sell analysis with data-driven clusters derived through ML. Explore and better understand not only your current customer portfolio, but also historical trends, allowing for more effective planning and marketing strategies.

CHECK OUT THE DATAIKU FLOW
 

Optimize Your Past, Current, and Future Customer Mix

Easily load your existing customer data, then label the newly-generated clusters through a simple interface. Quickly integrate data and business rules across many different legacy, current, and next-gen product and marketing systems. Get immediate and actionable results to present directly to business users and management.

EXPLORE YOUR SEGMENT EVOLUTION
 

Deepen Product Expertise With
Enriched Segmentation

View cross-sell, average revenues, product mix, and segment shifts now and historically. Develop comprehensive insight into your customer base by aligning your existing tiering and cross-sell analysis with data-driven clusters derived through ML.

CHECK OUT THE SEGMENT ANALYSIS DASHBOARD
 

Quickly Create and Understand
ML-Based Segmentation

Understand key drivers and differentiators for each segment created by the ML approach, without the need for a dedicated data science team. Ensure effective interpretation of the model’s findings through quick and insightful analyses of key drivers.

SEE THE SOLUTION IN ACTION
 

Build a Powerful Customer Experience Engine

Connect directly to the Dataiku Solution for Customer Segmentation for Banking with a single click. Perform as much of your existing and future customer analytics within Dataiku using our pre-built dashboards or ones you create to view ML insights integrated alongside existing analytics, including cross-sell and product mix.

PERFORM TIER ANALYSIS IN DATAIKU
 

Answer Key Customer Segmentation Questions

The Dataiku Solution for Customer Segmentation for Banking helps answer a broad range of questions like:

  • How can I bring all of my customer analytic insights into one place?
  • How can I integrate new segmentation technology as a complement to my existing approaches?
  • How can I explore possible ML approaches without relying heavily on teams of dedicated data scientists?
READ THE DOCUMENTATION ON CUSTOMER SEGMENTATION FOR BANKING
 

Do More Than Customer Segmentation With ML

Leveraging data-driven segmentation introduces new perspectives to complement existing expertise. Enrich customer insight and discover more effective sales strategies by unifying business knowledge and ML.

DISCOVER THE FULL CAPABILITIES OF DATAIKU

The Total Economic Impact™️
Of Dataiku

A composite organization in the commissioned study conducted by Forrester Consulting on behalf of Dataiku saw the following benefits:

70 %+

reduction in time spent on data analysis, extraction, and preparation.

42 %

reduction in time spent on model lifecycle activities (training, deployment, and monitoring).

413 %

return on investment

$ 23 .5M

net present value over three years.

See Dataiku in Action

Watch the end-to-end Dataiku demo to understand how the Universal AI Platform can fit your needs for one use case … and beyond.