Most companies consider data as a strategic asset, but they hardly manage it as such. This short program introduces principles and methods of data management covering data assets, data quality, data governance and data life cycle. This will empower organizations to create the data culture strategically needed nowadays.

• Identify the data assets of a company and critically assess methodologies to measure its quality and value.
• Define the roles and responsabilities, interconnections and processes for data in the organization.
• Discuss and reflect on approaches for achieving the mindset shift around data in Data-Driven Enterprises.

Based on the Data Excellence Model developed by the Competence Center Corporate Data Quality (CC CDQ) headed by Prof. Christine Legner (HEC Lausanne – UNIL), we will discuss the concept of data assets as well as approaches to measure data quality and value. Data assets will range from traditional enterprise data to new data sources (IoT, social media, …). We will analyze data governance models and how they can be adapted to different organizational settings. The roles of Data scientists, data engineers, data managers and data citizens will be defined as well as their interconnection.

Standards, methods and processes for managing data life-cycle and data value chains will be at the heart of the discussions.
Finally, the required mindset-shift in data-driven enterprises towards a data sharing culture will be presented.

• (Future) Chief Data Officers (CDOs), senior managers and executives who are launching data initiatives.
• Business intelligence (BI) and data managers, data engineers and data architects who want to manage successful data-driven transformation.
• Data champions and executives in business lines (HR, Marketing, Operations, …) who want to become more data and analytics-savvy.

4 days short program. 

Language: english

This short program is a module of our Certificate in Data science & Management (CAS).

programme de cours