Data Science

Data are only summaries of thousands of stories

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Data Science with KNIME

Official KNIME Partner

The goal of Data Science is to gain knowledge from existing data. To achieve this, companies often use a variety of solutions for the integration of different data sources. Additionally this means time spent on preparation and the visual analysis of the data. How convenient would it be if you could cover all these sub-areas with one compact solution?

Together with our partner KNIME we help them to open the door to their entry into the field of data science with only one software.

Automation & technology

As KNIME Partner
we support your company
when entering Data Science..

With KNIME they cover the complete Data Science Lifecycle without writing a single line of code.

Our KNIME Data Science Solutions

KNIME Analytics Platform

The KNIME Analytics Platform gives them access to the world of data science regardless of their operating system (Windows, Mac or Linux). With over 2500 nodes they build workflows in the area of ETL for data and tool blending. Create meaningful reports in various formats and make them available via mail, dashboard or website - without programming knowledge.

KNIME Server

Enable your developers, data engineers and data scientists to work collaboratively and execute workflows on a scheduled or event-driven basis. Security on node, file and application level as well as workflow management are integrated. Should the server ever reach its limits, it can be scaled quickly and with little effort.

Reasons for entering data science with KNIME

New insights, processes and solutions

New objectives

Minimum effort, maximum Efficiency

Data Analytics with KNIME

KNIME Data Science Training & Workshops

Take part in our KNIME Data Science Trainings. These workshops provide you with a playful introduction to Data Science with KNIME Analytics Platform.

Frequently asked questions about Data Analytics

KNIME®with headquarters in Zurich and offices in Constance, Berlin and Austin, offers a fast, simple and intuitive entry into the field of data science with its data analysis, reporting and integration platform. The KNIME Platform integrates a wide range of data types, statistical functions and advanced prediction and machine learning algorithms. For more than a decade, a thriving community of data scientists in over 60 countries has been working with the KNIME Platform on all kinds of data: from numbers, images, and molecules to complex networks and statistics and big-data analysis.

The KNIME Analytics Platform is the leading open solution for data-driven innovation, enabling you to discover the potential hidden in data, gain new insights or predict new futures. Companies can take collaboration, productivity and performance to the next level with a number of commercial enhancements to the open source platform.

KNIME is a bundle of Eclipse software licensed under the Eclipse Public License (EPL) and separate KNIME plug-ins licensed under the General Public License (GPL), version 3 (including certain additional permissions under section 7 of the GPL).
KNIME believes in open source and the power of the community. Our open source platform contains all the features every user needs, plus advanced features. KNIME Analytics Platform does not have a slimmed down version and there are no artificial limitations, such as the size of machine processing or the number of data rows: If you have enough disk space and memory, you can run projects with hundreds of millions of rows, as many KNIME users currently do.

Data Science helps companies to gain insights, patterns and recommendations for decisions from structured and unstructured data. As a result, companies that actively use the potential of their existing and yet to be integrated data have a clear advantage over their competitors when it comes to better understanding customer concerns, reacting to new market opportunities and improving services. Investments in this area generally lead very quickly to a positive return on investment (ROI) by increasing productivity and reducing costs.

Digitization remains one of the defining trends for companies. In addition, data volumes continue to grow unabated, and this trend will continue in the near future due to the integration of more and more systems and end devices. As a result, classic methods of data analysis are reaching their limits. With the use of data science, processes can be automated, better planned and more meaningful in combination with the use of artificial intelligence. The resulting findings can be used to make decisions in real time. Data Science is a cornerstone of modern IT systems and will remain so in the future.

IoT - Frequently asked questions

Abax your partner for Data Science in Austria

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For more than 25 years ABAX Informationstechnik uses its experience in innovative IT services for the benefit of its customers. the advantage of our customers. one. Our portfolio around Business Intelligence, Data Analytics and Data Science solutions is supported by our dedicated BIS Team ...to be taken care of. By the Acquisition of Lerox data processing GmbH in spring 2019, ABAX has expanded its range of services to include this important aspect.

The term structured cabling refers to the cabling within and between buildings. It is thus the basis of modern IT infrastructure and for systems that are intended for the transmission of data. It is usually divided into primary, secondary and tertiary cabling. first partner of KNIME in Austria ABAX offers a comprehensive solution for the integration of current technologies such as machine learning, the integration of artificial intelligence and the automation of workflows for the development of innovative solutions in IoT projects. This includes the integration of all relevant data sources, the parameterization of events, improvement of models, visualization of results as well as predictive modeling for planning and implementation of results.