Making data visible and usable

Process Data Analysis

Process data analysis involves systematically collecting, evaluating, and utilizing data generated during the production process. This data comes from machines, sensors, production facilities, and other systems that support the manufacturing process.

Why is Process Data Analysis Important?

The aim of process data analysis is to gain deeper insights into the production process in order to increase efficiency, reduce errors, and improve the quality of the end products. True added value is only created when this data is converted into actionable insights for process optimization.

The following methods are suitable for data analysis:

Data Analysis Methods

Data visualization

Presentation of performance, trends, and anomalies using graphics and dashboards.

Reports

Production quantities, for example, are recorded in reports and can be consolidated or converted into other units.

Online Monitoring

Identification and elimination of sources of interference.

Methods for Process Optimization

Data-driven approaches can be used to improve production processes in a targeted manner, increasing productivity and quality while minimizing resource consumption. This enables companies to not only secure their competitiveness, but also ensure their long-term success. Discover the key steps and methods for optimizing your production processes through intelligent data usage.

We offer complete solutions

Our Services in the Field of Process Data Analysis

Assessment

Joint on-site assessment of the plant landscape

Consultation & Planning

Development and implementation of overall technical concepts
Economic feasibility studies & budget planning

System Delivery

Planning, configuration, and commissioning of the necessary hardware and software in the existing infrastructure

System Support

Long-term maintenance and support of the systems through updates and customer contact
Training and support during and after implementation

Why KRIS

Benefits of Process Data Analysis

Improved decision-making: You can make informed decisions based on real-time data.

Process optimization: Bottlenecks or quality issues can be identified and resolved at an early stage.

Quality improvement: Reduction in scrap and errors through better control and traceability of process parameters.

Cost reduction: Lower production costs through more efficient use of resources and reduction of downtime.

Transparency and traceability: Monitoring and documentation of the entire production chain to ensure traceability and compliance.

Do you need support with your project? Contact us now! We look forward to hearing from you!

Or book a free initial consultation directly.

Your direct

Contact Persons

Daniel Siebrecht

+49 761 40078 13
daniel.siebrecht(at)kriko.com

Oliver Nann

+49 761 40078 48
oliver.nann(at)kriko.com