OUR USE CASES

Discover the impact of Kensu in the real world.

Control your churns

Increase your confidence in your churn predictions and become pro-active

Minimize Data Protection Risks

In the banking sector, new competitors move incredibly fast. Due to new products being introduced in the market some segments are at risk. 

Therefore, a bank company is changing its legacy CRM system to increase the accuracy of their understanding of their customers and their products.

CHALLENGES

  • The introduction of the new CRM is in trouble due to a lack of visibility on the migration
  • The new CRM aggregates more data and created new churning segments without providing a possible reason and solution

WITH KENSU (see how)

Kensu monitors the analytical lines introduced in the new CRM to

  • Trace and validate specific business KPIs of each segment
  • Drive the discovery of the reasons for churns - allowing the company to react quickly
  • Continually validate KPIs to give the company a proactive advantage if issues raise again

BENEFITS

With Kensu embedded in the analytical chains too, the company can
  • Ensure the success of the decommissioning of the old CRM.
  • Manage and follow the process of reducing the churn rate.
  • Accurately track KPIs on how new customers from competitors are converted.

Minimize Data Protection Risks

Minimization of risk by not breaking data protection laws or losing brand image

Accelerate Time to Market

In the retail market, it is crucial to know the customers better and conduct efficient marketing campaigns.
For this, new sources of data are now used: social network, external newsletters, etc.

CHALLENGES

Due to a lack of control and visibility on the data transformations and learnings (ML/AI), the company has been exposed to a variety of misusages:
  • Use new external/third-parties data in branded marketing materials (e.g. others emails)
  • Use personal information coming from external data and create a too precise targeting (e.g. using marital status)
  • Use anonymized data in branded mass communication (e.g. « Hello Mr. John Doe »)

WITH KENSU (see how)

Kensu controls and monitors in real-time to generate alerts in cases where:
  • Wrong categories of data are used (e.g. Marital status)
  • Forbidden sources of data are included (e.g. Social network)
  • Data coming from different environments are used together (e.g. Lab, Production, etc.)
  • There is an unexplainable fluctuation of the accuracy/precision of algorithms (e.g. deep learning algorithms targeting minorities)

BENEFITS

  • Being proactive and avoid non-viable decisions to be taken (proposing the wrong product)
  • Increase of the confidence in final results (launch mass marketing campaigns)

Accelerate time to market

Killing costs and accelerating time to market for an Insurer with Kensu.

Control your churns

Based on 360° information of their customer base, the insurance company discovered a new segment (younger car drivers) they can address with a new car policy.
This segment is also exposed to other insurance companies, therefore, the new product needs to be launched and advertised before competitors.

CHALLENGES

The insurance company was on the verge of losing market shares due to a lack of responsiveness with a constantly postponed launch date of the new product. 

However, little visibility was available to understand why the product couldn’t be launched on time

WITH KENSU (see how)

Kensu monitors along the data tools chain to discover the root cause:
  • a data was taking too long to be computed (late arrival) and
  • delaying the final results (send the advertisement to the young).

The owner of that data proposed to not use as it is based on old product information (parents‘ past policies) which won’t change any more.

BENEFITS

  • An acceleration of time-to-market for new insurance policies benefiting from the suppression of a processing bottleneck and the rationalization of the systems
  • A reduction of the operation cost of the database and files in the data warehouse
  • A reduction in the cost of maintenance of the processing system