Data-driven control
Companies have increasingly large amounts of data at their disposal. However, many companies find it difficult to draw the right conclusions and use them efficiently. Transforming raw data into actionable knowledge is a complex process that involves a step-wise methodology. Moreover, it requires a cultural shift within the organization to ensure that employees are not only equipped with the information but also motivated to work it the data effectively.
If fundamental aspects such as data quality, contextualization, and employee experiences are not adequately addressed, this can lead to misinterpretations and resistance to change. Therefore, fostering a common understanding of data-driven objectives, integrating data analytics into shopfloor management, and actively engaging employees are crucial for harnessing the full potential of data-driven control.
TARGUS pursues a holistic approach that integrates technology and employees
In collaboration with the target group, a concept is developed that focuses on the subsequent work with the data. Operational areas, IT and solution providers work out the need for data and its current availability. In a second step, this data is put into context and KPIs are defined and (dynamic) threshold values are defined with the knowledge of the employees.
Employees are involved and trained to ensure sustainable success. Thanks to TARGUS’ experience in operations, we can share best practices with you on how working with data can be successively integrated into the business process to establish a culture of data use.
Project results
- Selection and coordination of decision-relevant data and KPIs
- Effective ways of presenting information on dashboards, adapted to the target group
- Avoiding information overload by defining (dynamic) threshold values
- Establishment of processes for data-driven control