Due to our strong scientific background and our broad scope, our problem solving competence as your partner often goes beyond the actual core question. Generic solution concepts lead to equally flexible and future-proof solutions and systems.
Data Science / Data Analytics in its multifaceted facets is one of our main areas of activity, because — Data is our Passion.
Based on collected data from the past, relevant general indicators as well as methods of text mining (Natural Language Processing - NLP), predictive models are created that can identify trends at an early stage and make specific statements about future developments possible.
Often referred to as Knowledge Discovery in Databases, it uses statistical, system-theoretical and visualization-based methods and methods to recognize associations, classes or patterns.
It is based on the Cross-Industry Standard Process for Data Mining (CRISP-DM) with its six phases - Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation and Deployment.
In this way, the system will also be able to assess, classify and assign probabilities to unknown data in the future.
The most important sub-areas that can be covered by us are::
For a company that supports decision-making, this data can only be used when individual data is brought into meaningful relation to one another — only then does information emerge from it.
Uniting such large amounts of data in one system and allowing fast, complex and detailed analysis is the task of a Data Warehouse — another focus of our expertise in harmony with our data science focus.
Datamarts in turn, consist of different content segments that are refreshed at different frequencies with new data and contain data about business-relevant objects in a simplified form compared to the operative system.
As a whole, the task is not only to derive information from data, but to further develop that information into knowledge and then translate it into business-relevant considerations.
Object-oriented design concepts coupled with a high degree of parameterization, embedded in enterprise IT environments with appropriate scalability and reliability, result in maximum adaptability and thus provides a corresponding investment protection.
In the area of machine learning these are TensorFlow, theano, Sci-Kit Learn, H20, Torch and Spark ML Lib.
When developing such analytical system solutions, we integrate components from different software solutions into a customized solution tool.
We apply this wealth of experience equally in complex eCommerce systems, as well as in networked Dashboard and Portal Systems, as well as the various logistics systems.
Intelligent logistics systems are in today's rapidly advancing digitization of this area particularly challenged to respond quickly and efficiently to the new possibilities and to integrate into the system considerations.
A rapidly developing area is sensor technology and in particular the new possibilities of radio transmissions. Together with our subsidiary Avalaris, we have built up expertise in the LoRaWAN protocol, which we consider to be one of the most important future game changers in this area.
In a company, a dashboard is integrated into the process flow in an adaptive manner, can visualize various procedures in everyday working life and provide key figures in order to optimally coordinate processes.
Portal systems are characterized by the integration of applications, processes and services. They ensure the linkage and defined data exchange between heterogeneous applications via a portal platform, thus enabling a homogeneous user interface.
Our broad scope across the different IT disciplines enables us to provide you with the best possible support in this area and make the effectiveness of such systems usable for your company.
Open Source Software has already established itself very well in the areas of server systems, web & mail servers, databases and middleware and has now conquered the areas of embedded systems, router systems and mobile phones.
Meanwhile, key products such as Git, MySQL / MariaDB, Node.js, Docker / Kubernetes, Elasticsearch, just to name a few, have been accepted and widely used Open Source Software.
According to a Swiss study from 2015 (Open Source Study Switzerland 2015 published: More Independence and Security Thanks to Open Source, pages 36-37), 86% of respondents see compliance with open standards, 82% share knowledge with the community, 77% cut costs, ud 76% reduction of supplier dependencies as main motive for using Open Source.
In addition, we are heavily involved in the areas of Enterprise IT security & safety, analyze appropriate threat scenarios, develop policies together with companies and organizations, coordinate the deployment of the same, monitor the effectiveness of the measures and ultimately accompany acutely necessary measures after a Breach has occured.
System engineers coordinate a variety of disciplines to optimize the overall system, relying on modeling and simulation of the system using SysML (based on UML), which is now common in all industries and sciences to detect defects and risks even before production
As a member of the Society for Systems Engineering e.V. (GfSE) and thus of the INCOSE, there is a lively technical exchange with mainly the European colleagues in order to integrate the latest developments in this field into our expertise.
We specialize in passing on the wealth of knowledge acquired over the decades as part of Know-how transfer - especially in times of massive digitization pressure, this enables a comprehensive presentation of the problems and joint development of solution strategies.
n this sense, we organize workshops for executives, team leaders and project leaders in which we pass on our knowledge in the area of data science / data analytics, databases, enterprise IT, just to name a few from our portfolio, adapted to the level of knowledge of the participants.