Data & analytics in the process industry

In our data management consulting, we help you to identify the value of data for your company. Use our expertise in data analytics to realize your visions and optimization potential. During the one-day workshop, you will receive an introduction to statistics, Machine learning (ML) and artificial intelligence (AI) in modern industry. Afterwards, your visions and challenges will be worked to determine the possibilities but also limits of feasibility in the field of data management. In addition to the one-day workshop, we take the time to discuss technical aspects with your process specialists on site or remotely. As a final product, you will receive a feasibility study that includes different technical approaches, a needs analysis and clear recommendations for action.

Aim of the consultation:
• A common understanding of data management within the company
• Identification of potential data management projects in your
   company
• Understanding the existing data structure and determining the
   necessary qualities
• Localize suitable data streams for a specific process
• Overview in written form as a basis for a possible project
   implementation

Read our flyer

90 minutes of non-binding brainstorming

You also have the opportunity to gain an insight into the world of data management in advance. We will be happy to take 90 minutes of your time to have a brief discussion about your current situation, either on the phone or on site. The aim of this brainstorming session is to explain the benefits and objectives of our offering and to gain an insight into your views.

You already have a clear idea of what you want to gain from your data, or you would like to implement a feasibility study from JAG's consultancy or a third-party provider on a new or existing system. JAG supports you in all project phases and can make any necessary software adaptations through its internal automation department in order to provide the data correctly in the desired form and quantity. It is also possible, if necessary, to install additional sensors or extend components in your system in order to achieve optimum results. Optimization proposals from the theoretical analysis can be implemented directly via JAG's plant engineering department, which minimizes the risk of sluggish project implementation by additional parties. The development of the data pipeline carried out by JAG and the creation of the necessary data-based algorithms are transparent and comprehensible, so that you retain a full understanding of your plant at all times, despite the use of possible ML or AI. Contact us and we will be happy to provide you with a quote based on the feasibility study or on existing requirements and their specifications from you or third parties.

You can expect the following procedure during implementation:
• Detailed problem analysis and precise target definition
• Validation of the defined use cases by your process specialists.
• Proof of concept for the validated use cases with
   different approaches
• Implementation and realization on the existing or new systems
   with the necessary specifications
• Monitoring in the first weeks of production with a necessary
   adjustment after a defined number of production hours

Secure your position at the forefront of technological development! Our maintenance service ensures that your existing data analytics projects, whether implemented by us or already in place, are always up to date. We regularly review and optimize system performance to maximize the efficiency and effectiveness of your projects. Our focus is to continuously promote innovation and ensure that your analytics solutions keep pace with the latest technologies and best practices. This guarantees that your systems support your success not only today, but also in the future.

The following cyclical services can be included in a maintenance contract:
• Checking the algorithms and their performance
• Fine adjustment of fixed parameters if necessary
• The right to an overview with the latest state of the art algorithms
   in the industrial sector

The following individual adjustments are also covered:
• Adapt the models to new product components or slightly adapted
   production steps
• Proof of concept for replacing an existing model with a more
   up-to-date one.