![Churn Prediction](https://www.biclast.com/wp-content/uploads/2016/03/churn-e1499621047439.jpg)
Identify churners and define ways to retain them
![Scoring](https://www.biclast.com/wp-content/uploads/2017/07/scoring-e1499620819669.jpg)
identify reliable clients and probability of client’s default
![Data Visualization For Call Center](https://www.biclast.com/wp-content/uploads/2016/03/DESCRIPTIVE_ANALYSIS-e1499621818771.jpg)
Estimate the call center performance and establish a set of KPI
![Financial Assets Forecasting](https://www.biclast.com/wp-content/uploads/2016/03/financial-e1499621968663.jpg)
Predict the value of financial assets to manage them effectively
![Queueing System Implementation](https://www.biclast.com/wp-content/uploads/2016/03/line-e1499622241995.jpg)
Identify optimal size of a queue in the supermarket and quantity of employees to serve the clients
![Descriptive Analysis](https://www.biclast.com/wp-content/uploads/2016/03/Depositphotos_60060013_l-2015-e1499622532948.jpg)
Identify patterns and trends of clients’ behavior
![Data Mining and Telecommunication](https://www.biclast.com/wp-content/uploads/2017/07/Depositphotos_139507458_original-e1499620490359.jpg)
How much can companies in the telecommunications industry benefit from big data and advanced analytics? It’s a strategic question. Every operator is looking for new ways to increase profits during a time of stagnant growth in the industry. This paper shows our approach to data mining process, how data mining can be applied in telecom
![Big Data Change The Game In Retail](https://www.biclast.com/wp-content/uploads/2017/07/Retail-Industry_sq.jpg)
Nowadays retailers are facing digital and competitive environment and with increase of globalization and competitiveness, they are seeking better market campaign. Retailers are collecting large amount of details regarding customer daily transactions. This paper shows how data mining can be applied in retail industry