Digital transformation

The realization of digital transformation provides companies with immediate feedback of business condition and allows fast execution of required changes.

The business is mainly influenced by changes in the external environment to which it is necessary to react quickly. Customers change behavior and requirements, competition follows technological innovations. Keeping up with dynamically changing conditions requires the information to be evaluated as soon as possible and the necessary changes to be made. The basic prerequisite for successful implementation of changes is a proper evaluation of the current state of the business.

Digital transformation is a continuous process of improving the company's activities in order to process information in real time and respond immediately to customer-related events.

We provide services that accelerate the transformation of your business

Key performance indicators (KPI) and reporting (BI)

The company’s goals are easy to track based on defined key performance indicators. The main performance indicators are broken down in detail for each organizational unit into specific tasks and expected results. A large amount of production data is consolidated into individual monitoring panels – dashboards, which present the current status of tasks. Statistical reports provide a detailed view of specific activities, as needed in real time or at regular intervals.

Business process automation (BPM)

The main benefit of process automation is speed up the execution of activities and quality improvements by adhering to defined workflows. It brings immediate overview of the status of processing work tasks and possibility for optimization of problematic activities in the process. Processes usually contain a combination of technical tasks that are performed automatically without delaying the information system and tasks that are processed by employees based on consolidated information and their competencies. The advantage of process automation is the possibility of planning their implementation and the easy execution of changes.

Robotic process automation (RPA)

Companies often use information systems that are isolated what making impossible to integrate them into business processes. This may be due to their technological obsolescence or lack of authorization to integrate them. The lack of integration results in increased workload of employees at repetitive operations, as is the case when data is being rewritten into different applications only through the user interfaces. Robotic automation automates routine activities performed by employees, taking into account the different sources of information and applications used by them. Robots can perform these activities without the necessary supervision and learn new procedures through built-in artificial intelligence.

Digitization and categorization of information

The information that is produced in a business is of different character and availability. Security and legislative requirements affect the handling of information. Digitizing physical paper documents allows to convert documents into electronic form. Included is qualified electronic conversion that allows paper documents to be replaced with electronic documents in full compliance with legislative requirements. Information necessary for categorization can be extracted from electronic documents and use for automated processing and ensuring of selective access to them.

Integration of information systems (ESB)

The availability of data and internal functions of information systems is critical for automation of the company’s activities. The dependence between activities performed in different information systems can be critical in terms of their integrity – transactions. Therefore, integration tools need to be used to ensure that all activities within a single transaction are carried out while supporting data transformations between systems.

Artificial Intelligence (AI) and machine learning (ML)

Workflow activities can be optimized by long-term evaluation of processed information in relation to available external information that may affect it. Machine learning enables to identify the relationships affecting the resulting information and thereby define behavior patterns. Identified patterns are useful in performing workflow activities that can be optimized by suggestions of artificial intelligence.

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