Standard data mining
BNOSAC is specialised in predictive data mining on huge databases to aid in better decision making. We adopt the newest statistical and technological innovations and apply it for business purposes. Our methodology is proven to be excellent by obtaining the second place at the Florida data mining competition.
We focus on the following domains:
Marketing
- Optimizing mailings and promotional campaigns by using recommender systems or collaborative filtering systems similar to Amazon or Netflix
- Models to acquire new clients
- Models to predict bad dept or to predict churn
- Segmentation modelling to improve marketing response
Price settings
- Models to improve product price settings
- Measure the price elasticity of your clients
- Measure the impact of promotional campaigns of competitors
- Models to support setting up effective cross-selling actions
- Model cannibalisation - make sure you don't compete against yourself
Production
- Models to identify causes of system breakdown
- Predict productivity by using time series models
Quality control
- Improve by using fuzzy measurement technologies
- Link quality to customer satisfaction and develop risk frameworks
Risk analysis
- Identify most risky customers and calculate customer value
- Advise on product portfolio
Automate
We set up data marts for data mining purposes, automate the modelling and create easy to use interfaces.
BNOSAC consultants have previously set up data mining models for BASF, Thomas Cook, Nuon, Coca Cola
