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One of the biggest challenges in scaling data-driven use cases (e.g., traceability) in factories is poor data quality. In fact, most of today’s factory data is buried in data silos due to extreme asset diversity. Today, the integration and preparation of this data wastes up to 80% of the project resources. Additional symptoms of poor-quality data might include:

1. slow progress in your digitalization projects
2. time consuming maintenance of custom scripts to integrate your factory data
3. high adaptation effort for changing requirements
4. high costs due to processing of large amounts of data in the cloud

With i-flow you reduce required resources to integrate and prepare factory data to a minimum. Stop wasting time and money on basic tasks. This allows your team to focus on the implementation and rollout of data-driven use cases. And you achieve up to 10x faster time-to-value for your digitization projects. Be 10 steps ahead of your competitors…

i-flow edge software maximizes the discoverability, interoperability and flexibility of factory data, enabling faster and more cost-effective piloting of data-driven use cases and accelerating their rollout. No programming or interface knowledge is required for this – so use internal resources to network your factory. With i-flow you create clean data from your factory operations by default – across all your factories independent from the heterogeneity of your shopfloors.

The do-it-yourself (DIY) approach is always a valid consideration. There are at least two aspects to consider: costs & scaling.

Costs: If you compare the annual salaries of software experts with the annual i-flow license costs, i-flow becomes beneficial quickly. In addition to the development costs, the costs for maintaining custom scripts must be taken into account (e.g. for necessary updates in case of changes in the use case requirements or system interfaces).

Scaling: Using in-house developers usually works in business environments where scaling is not required, use case requirements are rather static and developer fluctuation is very low. In addition, the more factory systems are integrated, the more difficult it becomes to keep track of individual implementations. i-flow, on the other hand, enables scaling in dynamic factory environments.

We have developed and optimized i-flow for manufacturing companies. Within the manufacturing domain, the technology is sector-agnostic. Thus, the software does not require customizing to create value in different sectors (e.g. automotive, machinery).

You just started? Perfect timing! Connect your first factory systems (e.g., machine) to your IT using i-flow. This saves you valuable resources for basic tasks for data wrangling such as integrating, understanding and preparing data. Create clean data right from the beginning and use the integrated data for your upcoming projects.

Yes. Most advanced customers struggle to fully leverage data from already connected systems due to the increased system complexity. Use i-flow to make this complexity manageable by harmonizing factory data. Contextualize large amounts of data so that they can be directly interpreted by your use-case experts. Combine data from different systems (e.g. machines, ERP, MES) for your analytics projects. Get started today with i-flow to make full use of your data at scale!

Absolutely. We offer different service levels. Please contact us for more information.

i-flow is available as annual subscription in different package sizes. Please contact us and together we will find the right package for you!