Data is a crucial driver for process efficiency and decision making. The breadth of data applications in traditional companies is much broader than one might think. You might have heard about exciting pilot projects in big data and artificial intelligence.
Our Value Proposition
Data Projects & Solutions
Replicable Data Solutions from Project Blueprints
For example, Continental’s benchmark value of 26 days inventory outstanding (DIO) in the fiscal year 2018 was also supported by data analytics projects targeting stock reduction. One of these project blueprints simulates an ideal stock level on material number level. The resulting KPIs can be used as an internal benchmark enriched with an actionable list of materials of the highest reduction potential.
A second example is the financial forecasting and budgeting process of a plant. The integration of standard reports from customer demand over bill of materials to vendor data and stock significantly increases this process's efficiency. Taking days of manual effort previously, it calculates in minutes at the higher quality & precision level. Given the similarity of controlling logic across manufacturing plants, this project blueprint as well has proven to be transferable at reasonable efforts.
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Why Data Services from CES?
- Case Study – Data Driven Product Quality Improvement
Product quality has always been at the heart of automotive manufacturing. With the rising importance of Noise Vibration Harshness (NVH), typical engineering skills need to be enriched with novel methods for finding problems’ root causes. A close collaboration between our data scientists and the product engineers helped leverage data to enhance their quality and to guide engineers in the problem resolution work.
- Case Study – Supply chain planning consistency
Producing goods efficiently requires having the exact right amount of raw materials needed. However due to complex business setup, it is difficult to guarantee ideal and consistent planning with standard ERP solutions. Our new data analytics solution improves planning accuracy in 18 participating plants and greatly reduces firefighting to prevent allocation risks.
- Case Study – Automation of Core Controlling Process
Agile planning is a key component in an unpredictable market, therefore, the Controlling department at Continental, Frankfurt sought to improve its core planning process. Challenged by time-intensive, manual forecasting and budgeting processes, the department now has an automated solution for a data-driven planning.