Dr. Sönke Iwersen

Mobility

1) Delivering business value & business growth in development and implementation of HRS data strategy 2) Create innovative analytical environments (Data Lake/ Data Hub) to enable Machine learning / AI-based business solutions 3) Enable data-driven business products in building cloud-based data products 4) Evolution of data functions (data, reporting, analytics, big data) to standardized data governance processes

1) Development & implementation of Digital Strategy of Fitness First 2) Business unit leadership of Analytics team: Leverage monetization with the creation of full customer lifecycle knowledge (data, processes, teams, knowledge) 3) Leading business development areas for key units (Digital & Strategy & Sales & Marketing) 4) Drive business growth of the company with the implementation of global projects: 5yr budget plan, sales & lead strategy, Micro gym concepts

1) Drive monetization and business growth in leading and scaling of the BI unit (Business Analytics, Web Analytics, Reporting, Databases) 2) Focus on generating business insights and value for Product development teams & Board 3) Drive data-driven business thinking with new Data & Analytics vision 4) Focus on decision-relevant transparency for the company (e.g. A/B-testing processes, new analytical & tech tools, enterprise reporting-platform)

1) Leadership of enterprise reporting team (25+ FTE) 2) Responsibility for complete Telefonica Germany reporting landscape (Development & Operations) 3) Nearshoring development of reporting landscape 4) Project leadership (Building a BI service center, Cognos migration projects, development of architecture guidelines, optimization of data usage processes, professional operating service concept) 5) Successful completion of the professional leadership program (15 months)

1) Driving business growth with analytical solutions for CRM processes (conversion optimization, targeting, lead generation) 2) Implementation of reporting and analytics landscape for the complete group 3) Generating business insights to enable business management of sales & marketing area

Analyses of purchasing patterns with multinomial discrete-choice-models