WorkSys as a Digital Ecosystem

WorkSys digital ecosystem is a group of interconnected information and digital technology solutions that can function as a unit. WorkSys Digital ecosystem are made up of suppliers, trading partners, applications, third-party data service providers and all respective necessary technologies. Interoperability is only one and most important the key to the ecosystem’s success. WorkSys as one of market share leader create and control those Digital ecosystems. The model how we do it has its roots and rules and is quickly influencing change in various industries. The integration of business-to-business (B2B) practices, enterprise applications and data within our ecosystem allows an organization to control new and old technologies, build automated processes around them and consistently grow their business. Creating WorkSys digital ecosystem map is a key to establishing a strong ecosystem your factory. The digital ecosystem map is a visual diagram of all digital tools and platforms used within the organization.

The technical, legal and business-related difficulties found in digital ecosystems are significant. Service orchestration, delivery and monetization, as well as customer communication and data management across the entire ecosystem, are some of the biggest common challenges. WorkSys helps you solve all of them.

WorkSys platform ecosystems is the best suited to companies that possess advanced digital abilities and select WorkSys as an established platform from the start, as well as a willingness to work with external partners. As a result, this ecosystem is preferred by well-established smaller tech companies, digital technology startups, high advanced technology developers ….

WorkSys as a good example of a platform ecosystem with excellent GUI, that incorporates modelling, planning, analytics, digital intelligence, performance of enterprises as well as other important tools into one user-friendly option.

WorkSys – What makes us different ? We went about it differently.

Our approach at WorkSys has been different from the beginning, defying the trend and we believe that our solution is one of the few that opted for a unique approach. When solving bottom-up interconnection issues, our solution recognizes the power of the cloud and big data, but also recognizes that performance will be significantly reduced or even eliminated if the edge layer is not properly set up and managed. Our definition of interoperability and data orchestration is sometimes diluted by platform players who claim to provide the same. They do not provide.

The general discussion on platform interoperability speaks of cloud interoperability. This is an extremely complex game that causes huge headaches for some of the most influential players, when trying to understand how to seamlessly integrate multiple platforms. The API is the talk of the day, with the current solution to this dilemma, but it’s simply not sustainable or practical. On paper, this could look great if several platforms were integrated through the API and then connected to some ESBs through micro services, but I urge you to construct it all and take into account a small part that these people did not initially consider necessary – the edge layer.

This methodology is extremely dependent on smart sensor technology, which has the ability to print data to the cloud. There is a high dependence on networks and, as a result, “platforms” find it difficult to cope with marginal technologies. However, they still hope that a 5G, no, 20G network will solve this problem.

Still, the focus has been on the cloud, and that’s understandable, especially if they (AWS, Azure, Google Cloud, …)  invested millions in cloud-dependent technology.

We went about it differently.

We have been saying for some time that the EDGE layer strongly attacks and affects the CLOUD layer.

We do not indicate that the cloud will lose its relevance.

We say that the real IoT ecosystem will be less and less dependent on the cloud, and in fact the design of the ecosystem will rely heavily on the potential for effective synergies.

Natural supervision, but a crucial detail that should be an integral part of the industry’s ability to commercialize in the near future. The IoT industry is hampered by the inability to create interconnection and interoperability at the EDGE layer. Properly designed state-of-the-art technology enables interoperability at the EDGE layer and, more importantly, the ability to retrofit and support older systems. Existing systems and deployments have been largely ignored, with current players relying on the “tear and replace” mentality that prevailed, and to some extent bothered the IT industry from the beginning, so she began to worry about how to proceed.

This mentality of the winner is not in line with the idea of ​​an interconnected world and certainly does not include the concept of true scalability. The fact that you want to tear out and replace existing technology and infrastructure on the road to digitization brings with it a huge amount of additional complexity, disruption and cost, which all makes it difficult to deploy IIoT technology and contributes to the slow adoption of Industry 4.0 as a revolution.

So while “big dogs” are trying to figure out how they can evolve and secure technology connections to secure future returns, they are contributing to contradictory and unwanted news, they send to the market and reduce the value of IIoT technology as a tool to create real business value.


1) The path to digitalization of production requires building a functional ecosystem
If you do not want to make a mistake in the future, you want to go the right way of digitization and you want to  implement a modern digital system supporting IIoT, then you   need a system that is ready to help you build a functional ecosystem. It must be an   open, collaborative and sustainable digital ecosystem for industry based on ready-made   solutions and shared components.

2) Digitalization of production does not mean deploying a single digital solution
Your approach must be different from the beginning. Neither ERP, nor MRP, nor MES, nor SCADA or other partial digital solution, nor something that you have already implemented in the factory, or someone offered you “yesterday” does not mean digitalization of production. You need to resist the trend, look at completely new solutions and have a unique approach.

3) The basis of a functional ecosystem is a strong bottom layer of IoT components
A functional ecosystem must be built on an efficient bottom edge of digital IoT devices and standard-based components to get a real-time view of virtually everything that current technology allows and what your requirements are.

4) Focus on the real benefits
The future Industry 4.0 and a well-functional ecosystem must be economically viable, based on clearly defined key indicators and return on investment. Indicators such as increased labor productivity and production efficiency, reduced number of downtimes and reduced time of downtime, accelerated response times to eliminate faults and problems, reduced consumption of various types of energy, improved delivery deadlines, improved output control quality, monitoring, visualization and autonomous process control, connecting and communication between individual machines and other devices on a digital basis, supporting the right decisions and eliminating the risks of bad decisions is really the right tool for you to achieve your desired goals.

5) Compatibility and connectivity is the key to success
In terms of future competitiveness and digitization of production, only open standards can ensure successful implementation. The connectivity of machines, devices, various sensors, cameras and other IIoT components and their compatibility are inextricably linked, creating symbiosis and mutual harmony.

6) Interoperability as the highest principle of the digitization process
You do not solve only one specific problem, but create completely new values by interconnecting all IIoT solutions. Connect all your existing functional systems and beneficial deployments with new solutions and connect them to interoperability as the highest principle of the entire digitization process with the possibility of gradual modular expansion of solutions.

7) Digitization of production is a long-term process but you can start with a short sprints
Digital transformation of production is not a short run. Nor is it a task that management can easily delegate to its subordinates. The unique approach and new solutions take time, involving all departments and involving all employees in the digital journey through systematic change. It takes patience and new ideas at all levels of business management, but you can start with short sprints with a constant awareness of achieving a long-term goal.

8) Create an active digital twin of the factory from A to Z
Have an absolute overview of all your people, machines, equipment and overall events in the factory in real time. Stop talking only about planning and managing over it, as before. Start talking about REAL TIME, effective management and decision-making based on real- time, measured and collected data. Gradually leave process control more and more to the machines – using AI, ML and suppress the human factor as much as possible.

9) Demand and expect more from a modern IIoT system for Industry 4.0
A modern IIoT system and a platform for the correct digitization of production must offer you a number of intuitive and efficient tools where you can manage the system yourself. Must contain:

  • real-time information and monitoring without the need for local IT resources
  • early warning of crisis scenarios and the possibility to create user alerts
  • easy integration of third party systems, creation of own KPIs and graphical analysis
  • possibility of visualization of static or moving objects on the map base
  • display the shape and color of objects to understand their current state
  • analytical tools for data collection, machine learning and data anomaly detection
  • the ability to implement as many IoT devices and as many users as you need

In the case of advanced management, it must include external support tools that increase the performance of analysts over REAL TIME data.

10) When a company is not ready, it´s only a matter of time before will be able to produce
When a company does not prepare for the digital transformation of production, it is only a matter of time before one day it receives an order that it will not be able to produce. The reason can be any such as e.g. will not be able to read it because it will come in a form that it will not have implemented, will not be able to show the complete digital production process to its customer, and he will want to know it, or the last customer will want to see more and more through the digital window into the kitchen to the first supplier in the chain and he wants to be sure that everything works as required and the quality is maintained. Many companies do not realise that this is not something that will pass us by and it will not affect us. So if everyone around you prepares and you don’t, then you have a problem in the future.

Meet our Leaders

Radovan Slíž


Dr. Vladimir Levársky

Founder & Head of Strategy

Roman Krška

Head of Sales

Daniel Janiga



Ján Košturiak

IPA Slovakia

Rudolf Malý, ALog.

VP for Education Logistická akademie