Practical example
Data Analytics in Multi-Project Management
Data analytics involves the analysis and evaluation of internal and external data. This enables companies to identify and capitalize on opportunities.
Data, data, data—especially with the ongoing digital transformation, data collection and analysis have become indispensable for many companies. Whether it’s process improvements, digital business models, or product optimization, analyzing and evaluating internal and external data using data analytics allows companies to identify and realize their potential. Data analytics is also indispensable in project management: particularly for large-scale projects, long-term success can only be guaranteed if there is full transparency regarding all activities and processes.
Background
In order to use data collection and analysis effectively, the following basic requirements must be met:
- User-centered systems and approaches designed to reduce the effort required for data collection and maintenance.
- A uniform definition of data types and formats to standardize data across departments and processes.
- Centralized and cross-functional systems with clearly defined roles and responsibilities to ensure data availability.
Specific task
Design and implementation of a data analytics tool, and support for multi-project management during the rollout and further development of a large number of software applications for our client in the automotive sector.
KBC's Approach
We always take a holistic approach to consulting—from strategy through to implementation:
- Analysis and evaluation of the information, preparation of content, and identification of areas requiring action.
- Preparation of content and drafting of board materials and management reports.
