What is Data Science Consulting?

The main goal of Data Science Consulting is to help organizations make the best use of their data. This enables them to make informed decisions, increase efficiency, develop innovative solutions and gain a competitive advantage. Data science refers to the interdisciplinary approach of combining mathematical and statistical methods, programming, machine learning and expertise to gain insights from data and enable data-based decisions.

Where is data science consulting used in the company?

There are many different ways in which data science consultants can support organizations in using their data correctly. For example, by analyzing existing data and identifying patterns, trends or relevant information. But also by developing models for machine learning and statistical analyses to automate forecasts, classifications or other relevant tasks

Why should companies invest in their own data strategy?

A data strategy is necessary to make informed decisions, increase efficiency and promote innovation. A clear data strategy helps companies to better understand customer needs. It plays a key role in risk management and helps to comply with data protection regulations. A comprehensive data strategy also takes into account data security, scalability and flexibility in order to meet the constantly growing demands of the digital business environment.

How can a data strategy be successfully established in a company?

In order to establish a successful data strategy in a company, it is crucial to involve the management level. Also, define business objectives that are linked to the data strategy. In addition to creating a data inventory to understand the value of existing data sources, measures must be implemented to ensure data quality. Careful attention should also be paid to data protection and compliance.

Data Science Consulting

Get the most out of your data and reduce your costs at the same time

Make predictions

We help you to understand impact chains, recognize patterns and make predictions.

Strategic IT

Ready for the future: We build your company's IT in such a way that it is fit for the future.

Agile data management

Would you like to anchor your data mesh concept in your company? We are here for you.

Using AI solutions

Would you like to integrate GPT into your company and use AI solutions for yourself? Our experts will show you how.

Roadmap to your individual data solution

Our data science consultants determine early on what you can expect from the project and what makes sense for you. This allows us to quickly find out whether your desired data product is feasible and provide you with a basis for deciding whether it is a go or no-go.

Data Thinking Workshop

We offer various data thinking workshop formats. In a joint customer meeting, we can identify possible data products from the areas of data visualization or business intelligence and compile cloud architecture requirements.

Data Maturity Assessments

Do you lack an overview? As part of a data maturity assessment, we help you to categorize your IT infrastructure. In this way, we can identify the maturity levels of individual components and analyze which steps need to be taken in order to make further progress.

Data governance & AI integration

We provide support in setting up a data mesh and help to drive organizational change from a big data solution to the company-wide topic of "data governance". We categorize the data & AI possibilities based on an AI assessment and help with the integration of AI-supported processes such as machine learning or MLOps.

FAQs - Data Science Consulting

What is Data Science Consulting?

The main goal of Data Science Consulting is to help organizations make the best use of their data. This enables them to make informed decisions, increase efficiency, develop innovative solutions and gain a competitive advantage. Data science refers to the interdisciplinary approach of combining mathematical and statistical methods, programming, machine learning and expertise to gain insights from data and enable data-based decisions.
Where is data science consulting used in the company?

There are many different ways in which data science consultants can support organizations in using their data correctly. For example, by analyzing existing data and identifying patterns, trends or relevant information. But also by developing models for machine learning and statistical analyses to automate forecasts, classifications or other relevant tasks
Why should companies invest in their own data strategy?

A data strategy is necessary to make informed decisions, increase efficiency and promote innovation. A clear data strategy helps companies to better understand customer needs. It plays a key role in risk management and helps to comply with data protection regulations. A comprehensive data strategy also takes into account data security, scalability and flexibility in order to meet the constantly growing demands of the digital business environment.
How can a data strategy be successfully established in a company?

In order to establish a successful data strategy in a company, it is crucial to involve the management level. Also, define business objectives that are linked to the data strategy. In addition to creating a data inventory to understand the value of existing data sources, measures must be implemented to ensure data quality. Careful attention should also be paid to data protection and compliance.

Data Science Consulting