Factory Data Box

Are you looking to optimize the performance of your industrial company by implementing centralized data management? You’re in the right place.

Our two-day training will allow you to understand the challenges and benefits of centralizing data in the industrial sector, as well as best practices for implementing such an approach in your company.

You will discover how to centralize your data in a secure and accessible manner, how to analyze it to extract valuable insights, and how to use this data to optimize your activities and supply chain.

Our training is led by industry experts with many years of experience in data management. They will accompany you throughout these two days to help you implement an effective and profitable centralized data management system.

Don’t hesitate, sign up now for our training on centralized data management for industrial companies!

Strategy and Management Policy

Defining your supply chain strategy

Definition of rules on work in progress and inventories

Segmentation by programme and part families

A supply chain strategy is a plan for how a company will manage its supply chain in order to achieve its business goals. It includes decisions about sourcing, procurement, production, logistics, and distribution. In SCM (supply chain management) policy and operational standard work, the supply chain strategy is declined, or translated, into specific policies and procedures that guide the day-to-day operations of the supply chain. These policies and procedures help ensure that the supply chain is efficient and effective in meeting the needs of the business and its customers. They include guidelines for managing inventory, managing suppliers, managing logistics, and managing production, among others.

Data management by industrial site

Data collection
Data storage
Data analysis
Data visualisation
Data governance

Data management at an industrial site refers to the processes and systems that are put in place to collect, store, and analyze data generated by the site’s operations. This data can come from a variety of sources, including sensors, production equipment, and other systems. Effective data management is important because it allows an industrial site to make informed, data-driven decisions about its operations. It can help the site improve efficiency, reduce costs, and optimize production.

There are many different components to data management at an industrial site, including:

  1. Data collection: This involves gathering data from various sources and storing it in a central location.

  2. Data storage: This involves choosing a suitable system for storing the data, such as a database or data warehouse.

  3. Data analysis: This involves using tools and techniques to analyze the data and extract insights from it.

  4. Data visualization: This involves presenting the data in a clear and easy-to-understand format, such as a chart or graph.

  5. Data governance: This involves establishing policies and procedures for managing and using the data, including who has access to it and how it can be used.

Overall, data management is a critical aspect of running an industrial site, as it helps ensure that the site is making informed, data-driven decisions that drive business value.


Why should you centralize data?

There are several reasons why an industrial company might be interested in centralizing its data as part of its performance optimization efforts. First, centralizing data makes it more easily accessible and usable by different stakeholders within the company. When data is dispersed across different systems and databases, it can be difficult to find and use consistently. By centralizing the data, it is possible to create a single point of access and define rules for managing the information to ensure that the data is reliable and usable by all.

Furthermore, centralizing data facilitates data analysis and insight extraction. By bringing all of the company’s data together in one place, it becomes possible to analyze the data more broadly and discover trends and patterns that might be difficult to detect with dispersed data. This can help the company make better business decisions and optimize its activities.

Finally, centralizing data can also help the company improve its resilience and robustness in the face of crisis. By ensuring that all important data is stored and protected in a centralized manner, the company can be better prepared to deal with disruptions and continue to function effectively.