Data Science
Data as binoculars into the future.
Improve your planning reliability with predictive models, unlock hidden potential and use data as a competitive advantage.
Challenge
Through every digital interaction, communication and transaction, your business generates data. In most cases, it is not possible for humans to analyze this data. The volume and velocity at which it is collected makes it impossible to understand the relationships between data points in a database or identify recurring patterns with the naked eye.
Unlock the full potential of your data.
Data Science is the machine processing of data to make predictions about the future based on past events, find hidden relationships in data, or process unstructured data streams
such as images, text, and sound.
Don't leave the future to chance and process large amounts of data automatically, so you can free up your employees to focus on what they do best.
We accompany you in the development of data-related use cases and develop a data science solution with business impact, tailored to your needs.
Our Data Science
Tools and Technologies.
MS Azure Machine Learning.
Quickly and reliably create, implement, and manage high-quality ML models.
MS Azure Applied AI Services.
Leverage task-specific AI and business logic to solve common business processes.
MS Azure Cognitive Services.
Implement high-quality artificial intelligence models as APIs.
Python.
Put your data in the right form and apply advanced analysis methods to find hidden patterns.
Data Science in
5 phases.
We love talking about data and potential use cases with Business Value. In an open, no-obligation conversation, we'd love to learn more about your current situation and needs. Together, we'll find out if data can add value to your business.
Together, we define a target image of your desired solution. Together we sharpen the requirements, identify the affected surrounding systems and determine the necessary prerequisites. Based on this, we put together the optimal package to achieve the goal.
We get a detailed picture of your data in the business context as a basis for the technical implementation of the solution. Through discussions with experts from your company, we deepen our understanding of your data and the connection to your everyday business.
On the basis of data understanding we realize data pipelines, reports or prediction models. In regularly held project meetings, we bring you up to date and iteratively sharpen the path to the goal.
With feedback from your business experts, we validate your solution in terms of functionality and defined requirements. The modelling and validation phases are repeated until the solution meets your needs.
We integrate the solution into your productive environment and show your employees how it can be used optimally. With the deployment we complete the solution, hand it over to you and ensure that all users have the necessary tools to use the solution in a valuable way.
FAQ – Frequently Asked Questions about Data Science.
Data is information in a form that is readable by computers. Every interaction with your business is a potential source of data: Website clicks, customer feedback, even NOT clicking on one of your ads. Many applications such as ERP or CRM systems store data in a structured way in databases, which can be used as a data source. But there are also many unstructured data sources like office documents, images or social media comments.
Data Science is the machine processing of data to make predictions about the future based on past events, find hidden relationships in data, or process unstructured data streams such as images, text, and sound.
Artificial intelligence (AI) is concerned with how computers can solve problems independently or at least imitate human intelligence within closed, delineated frameworks. With machine learning, computers can recognize patterns from data sets whose relationships are difficult for humans to understand. At the same time, AI can transform data streams that cannot be interpreted by computers, such as sound or images, into usable information.
You need a Data Scientist if your company already has a large amount of data and the necessary basic framework for working with your company data has been laid (Data Engineering).
Data Engineers deal with the collection and processing of data. Data scientists use this data to generate forecasts, find hidden relationships in data or process unstructured data streams such as images, text and sound.
Data Science is about creating models that can make predictions based on your data, uncover hidden patterns, and process unstructured data. In Business Intelligence, we prepare data sets in such a way that they are easy to understand for the decision-makers in your company, so that the right information is available for decisions.
Questions about
Data Science?
If you have any questions about Data Science, our Lead Data Science, Kail Kuhn, will be pleased to help you.
Kail Kuhn
LEAD DATA SCIENCE
BA Business Administration (FH Münster)
MSc Applied Information and Data
Science (HSLU)