Data Science with Consist - Develop sustainable data products with value
Every company has a large amount of data from a wide variety of sources.
Linking the right data with the right questions is the task of Data Science.
Using proven analysis methods from the academic environment, our experts succeed in harnessing the value of your data and moving your company forward.
Our services at a glance
Full support by our highly qualified team
Take advantage of our know-how from requirements gathering up to implementation.
How does Data Science help companies?
Data Science opens up and analyzes data in any form (structured and unstructured) with the help of scientific methodologies and analyses in order to gain new insights. This results in recommendations for action that open up concrete added value for companies.
Data science solutions from Consist are designed holistically by our experts. From data connection to processing and analysis up to visualization, our solutions are based on individual company needs and scenarios. We develop both cloud-native and on-premise solutions. Consist is the strong partner for the entire process, from requirements management to conception and planning of the solution to development and finally support.
> OnePager Data Science
Data Engineering & Data Analytics
Data Engineering lays the robust foundation for your data science solution by building an efficient, automated and scalable data infrastructure. Data from a wide variety of sources is brought together, checked for quality and cleaned, processed and transformed, and finally stored centrally and securely.
This creates a uniform database, which is essential for the benefit of your data science product, as (big) data analytics, artificial intelligence and business intelligence build directly on this basis.
(Big) Data Analytics allow you to perform targeted exploratory or statistical investigations using scientific methodologies directly on your database:
- Calculate KPIs
- Detect trends, patterns and anomalies
- Make predictions - delayed or in real time
The fully automated and scalable data analytics pipelines can be implemented for almost any data volume and are tailored by us exactly to your needs and requirements. As a result, you receive tailored insights and answers that generate real added value.
Based on pre-structured data, recurring questions can be answered quickly and easily with the appropriate analysis tool by:
- Analysis and interactive visualization of data and results
- Designing clear and interactive dashboards
- Bundling and connecting various data sources and results in one central location, accessible from anywhere and at any time
- Up-to-date insights with one click
- Adapt business processes and recommend actions based on results at lightning speed
- Central endpoint of your Big Data pipeline
Artificial intelligence in practical use
Artificial intelligence (AI) includes the ability of IT systems to perform tasks that could previously only be solved with the use of human intelligence. This includes, for example, the opportunity to learn from the past and draw conclusions about future developments.
One AI method is machine learning, which our specialists for data science routinely apply in practice in companies. Using machine learning, IT systems can use intelligent algorithms to recognize patterns and general rules on the basis of existing data, using them to develop solutions.
Deep learning, one form of machine learning, makes it possible to evaluate images, texts, and language better than ever before and to make forecasts and decisions based on the results of these evaluations.
Big Data and data science – all from a single source
In our interdisciplinary teams, experts from the fields of data science and Big Data work closely together. First, we lay the foundation by ensuring the reliability and performance of your data streams. We then analyze and visualize the findings obtained from the data and work with you to integrate them into your business processes.
"It is especially the insights gained by combining Big Data and data science that really drive companies forward – that's data science at scale."
Article in "LANline" magazine on the subject "Streaming Analytics for IIoT": > "Big Data trifft Fast Data" (available only in German)
Reference report: > Green light for data – creating a big data lake in just 90 days