Customer Strategy & Analytics – An AI Driven Approach
The Centre for Training and Lifelong Learning (K.E.DI.VI.M) of the University of Crete organises course with title : Customer Strategy & Analytics – An AI Driven Approach.
The programme will be implemented in English.
The program is conducted with blended learning (10% face-to-face -hybrid, 20% asynchronous and 70% synchronous).
Applications are closed
Sustainable Development Goals
- 1 Description
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The program aims to develop participants’ skills in data-driven Customer Relationship Management (CRM), predictive analytics and AI-enhanced customer management. Participants will learn how to analyse complex customer datasets, discover behavioural patterns and build predictive models to support strategic decisions related to customer acquisition, retention and value maximisation.
The course combines the theoretical foundations of analytical CRM with practical applications using the KNIME platform on realistic business scenarios. Topics include CRM strategy, customer lifecycle, segmentation, customer lifetime value (CLV), churn prediction, recommendation systems and sentiment analysis.
By the end of the programme, participants will be able to design and implement end-to-end analytical workflows, evaluate model performance and translate model insights into concrete business actions. The programme is suitable for professionals in marketing, CRM, data analysis and related fields who wish to strengthen their competences in predictive analytics and AI-based decision making.
Who it is aimed at
- Business professionals in CRM, marketing and customer experience
- Data analysts, BI specialists and junior data scientists
- Professionals in tourism, hospitality, retail, banking and insurance
- Graduates in business, informatics, marketing, economics or related fields
Participation fee 500 Euros In 2 instalments.
First, 250 euros with the registration. (17-27/4/2026)
Second, 250 euros one month after the registration (17-27/06/2026)
- 2 Content
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Teaching Module Duration of teaching modules (hours) 1. CRM Foundations 9 2. Customer Data Strategy & Quality 4 3. Segmentation & Customer Profiling 10 4. Customer Lifetime Value (CLV) 5 5. Predictive Modelling (Churn, Response) 13 6. Recommendation Systems 14 7. Sentiment Analytics 9 8. KNIME Workshop I 9 9. KNIME Workshop II & Final Project 9 10. Final Presentations & Evaluation 8 TOTAL HOURS 90 - 3 Scientific Coordinator
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K.Magoutis
- 4 Trainers
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Dr. Evangelos Xevelonakis
Professor, HWZ University of Applied Sciences for Business Administration
Zurich – Center for Data Science
Profile
Dr. Evangelos Xevelonakis is an expert in Customer Relationship Management, Business Informatics, and Knowledge Extraction.
He is a Professor at the Zurich University of Applied Sciences in Business Administration (HWZ) and CEO of SWISS VALUENET.
He has extensive experience in organizations such as Swisscom, Credit Suisse, and various international institutions.
Participation fee
500 €
Workload
150
Teaching Hours
90
Start Date
04/05/2026
Duration
3 months
ECTS
6
Scientific Coordinator
Academic Coordinator
E. Xevelonakis
Applications until
16/04/2026
Applications are closed
Information & Registration
kedivim@uoc.gr