Data Analysis

Vision & Objectives

Dr. Taha has a solid 7 years of experience in data science in the fields of machine learning and artificial intelligence. The long experience of Dr. Taha in both research and industrial sector made him aware of the rather wide gap between the two fields.

As a result of this wide gab and the large discrepancy between research and industrial sector, many of the solutions available in research are not used.

One of the objectives of TAHATEK is to enable small and medium companies to make use of the research results that are hidden due to this gab.

Information is the oil of the 21st century, and analytics is the combustion engine.
Peter Sondergaard

Services in the area Data Analysis

The modern methods of data knowledge are a prerequisite for competition nowadays, because the competititors are already using them.

TAHATEK would rather to play the role of the link between research and small and medium-sized industries. For this purpose, TAHATEK uses the most modern technologies of data science, such as machine learning (ML) and artificial intelligence (AI), to derive valuable knowledge for companies from their own data or from published:

Our services are tailored to the needs of our customers in relation to increasing profits and bettering quality. The following is an overview of our services in data science:

Data Analysis for decision making

Whether for problem solving or for optimizing your business, there is a treasure hidden in your data, but also in publicly available data. In modern business, data has the highest priority in decision-making because because data-driven business has proven to be the most successful.

Whether you want to analyze customers / customer behavior in relation to your business, e.g. because you want to identify the most profitable target group, tailor a new product, forecast the risk for your company or optimize the process of your business, but also many other use cases, is data analysis using artificial intelligence is the most effective tool for you.

Proof of concepts with Machine Learning

Machine Learning (ML) and Artificial Intelligence (AI) are useful modern technologies that are widely used in industry today. They are used, for example, as prediction models which can predict events or states. This makes it possible for example to act in good time on harmful events in order to prevent them or to multiply, intensify or stimulate good events.

All use cases must first be proven and validated in a proof of concept prior to implementation. TAHATEK helps small and medium-sized enterprises to develop and implement such conceptual models or proof of concepts.

Data Preprocessing and aggregation

Data exists in every business. It is mostly unstructured, such as free text, reports, scans, tables, images, etc. or distributed, such that the relationships between the data sets are not easy to recognize or determine. As long as data is not preprocessed and structured, it is not possible to make use of it or even to see its value.

TAHATEK helps companies to aggregate data and structure it in a suitable form that makes it optimal to use and analyse. The resulting structured data can then be used in analysis, e.g. for the purpose of optimization, automation, monitoring, quality control and product design, but it can also be sold as an economic asset.

Torture the data, and it will confess to anything.
Ronald Coase

Who are our customers

Our target group are mainly small and medium-sized companies that want to benefit from machine learning as a profit-increasing or quality bettering method. Examples are:

  • Service providers (insurance companies, banks, mobile providers, etc.)
  • Trading companies (wholesalers, supermarkets, etc.)
  • Data service provider (data processing companies, data storage, etc.)
  • Manufacturers (factories, etc.)


We are happy to take time for you.


+43 676 351-352-1


Postal Address

Schleiergasse 9/25
1100 Wien, Austria