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Cloud Solutions & Analytics

Data analytics in the operational life cycle: from planning right up to commissioning

Cloud solutions for companies: Analysis methods for well-founded decisions

Among the key skills for making well-founded planning decisions and general decisions in daily operations is to evaluate data and generate the relevant information. Analytics is only an aid to this process. The true value arises from the way it is used in and tailored to the respective industry domain. We apply state-of-the-art analysis methods to prepare, visualize and analyze data.

Example diagram of a load analysis in the historical overview

Example screen for load analysis: display of positions, quantities, containers, orders, etc. depending on the analysis question

Added value

Our unique, one-source combination of process, planning, software development and analytics expertise enables us to support you in making everyday, well-informed planning decisions.

We utilize the data provided to make tailored recommendations for action, implement the agreed actions and visualize the results. This forms the basis for further decisions throughout the project.

We give you the security and clarity of targeted information, thus revealing optimization possibilities for your company.

How we work

A consultant from io with a tablet talks to an employee in the factory

Establish the basis

As a first step, we work out client needs and goals to establish a basis for the further course of the project.

Hand with tablet, with animated diagrams and icons on Cloud Analytics

Develop and apply analytics

We use state-of-the-art analysis methods to extract information from data and visualize the resulting results as required.

Testing and trial operation

Analytics applications for continuous use are first tested in-house and then closely monitored and checked for correctness during trial operation. Users put the analytics results into practice and learn how to get the most out of them.

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Usage and implementation

The lasting benefits often only materialize when analytics are used in operations and fully assimilated into daily work practices and become an integral part of day-to-day business. As an experienced operational consulting company, we also provide effective and practical on-site support.

Employees point to a tablet in a factory

Fine-tuning

Analysis models often have to be calibrated and adjusted during operation to ensure consistently complete and correct results, as technical conditions may change:

Checking for and maintaining completeness
Checking and following up basic (data) changes
Fine-tuning

Core competencies in cloud services & analytics

Logistics and supply chain analytics ×

We extract the essential fundamentals for optimization, expansion, new planning or conversion projects from bulk data. This forms the basis for further decisions during the course of the project.

We use an interactive data space with a wide range of filtering and grouping options to provide the data and subsequently analyze the results with our clients.

AI-informed analytics, forecasting and pattern recognition ×

AI-based analytics reveal information in data that would not previously have been economical to extract – the cost of analysis would outweigh the potential benefits – or where the practical relevance was difficult to establish. Today’s tools are particularly effective, for example, to create forecast models or identify data patterns.

Common uses also include automated time series analyses with forecasting. This AI tool can be used to generate load forecasts quickly and automatically, making it easier to accurately plan personnel, productivity and downtimes.

Data analytics for load determination over the season with ABC analysis

Models and simulations ×

Our analytics tool enables us to understand real systems, explore cause-and-effect relationships, and quantify real effects. Models and simulations enable us to create new (model) situations to identify and anticipate system behavior under different conditions – for example, by studying scenarios.

Our digital twins also fall under the models category. Models, simulations and digital twins have a wide range of uses: from optimization models for CO2 reduction in packaging, to models for investigating business scenarios, to system behavior of plants in the creation process, or digital twins for ramp-up and testing during EWM implementation.

Analysis of article dimensions for the selection of the optimal container

Operational dashboards for production and logistics ×

A key driver for corporate digitalization projects is transparency gains and the associated courses for action in a dynamic environment. This is where we come in: our operational dashboards provide the necessary information to take direct action and, in the event of any problems, for proactive counteractions.

Combined with forecasting and variance detection, an operational dashboard can be a valuable tool to manage operations effectively and keep them on track.