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.
WITH KENSU (see how)Kensu monitors the analytical lines introduced in the new CRM to
BENEFITSWith Kensu embedded in the analytical chains too, the company can
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.
CHALLENGESDue 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:
WITH KENSU (see how)Kensu controls and monitors in real-time to generate alerts in cases where:
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.
CHALLENGESThe 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:
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.