Andrey Sereda – Modelling of customer churn in B2B on SAP HANA & R

Presented: 08.10.2016

Bio:

Andrey Sereda is a manager in the Data Analysis practice at Siemens CF A. He has 6 years experience in working as a data scientist and consultant on data-driven project solutions, ranging from customer and market segmentation based on market research and transactional data to data mining applications for financial and retail industries as well as automated platforms for Big Data analyses and visualization.

Andrey holds an MBA in International Management from the Leipzig Graduate School of Management – HHL, Germany, and a Ph.D. and a Diploma in mathematical economics from the Voronezh State University, Russia.

Abstract:

In today‘s dynamic world turnover of customers is high, and companies spend more and more money to win new clients. However, it is usually much more sustainable and rewarding to keep the hard-won customers, rather than chase the new ones. B2C industries, lead by telco and retail, are already implementing data-driven solutions for customer retention. However, in the B2B context, customer retention still remains out of the focus of data science. In this talk, we will present a newly developed and implemented data-driven solution to track customer churn and address potential threats within Siemens client base worldwide. We will go through the different aspects of a real world data initiative from the setup, data acquisition and management, to modeling and delivering the analytical results to the end user.

Schreibe einen Kommentar

Deine E-Mail-Adresse wird nicht veröffentlicht. Erforderliche Felder sind mit * markiert.