Data Mining

Finding hidden correlations in your data

What is Data Mining?

Data Mining refers to the discovery of previously unknown patterns, structures and correlations in large sets of data. Because the data quantities (big data) are constantly growing, these methods for processing and modeling are particularly valuable because they can identify previously unknown correlations in large data sets.

Data Mining at a glance

Identify patterns
and correlations

Broad spectrum
of methods

Analyze
industry data

Detect errors
and anomalies

Data mining methods

Possible concepts for identifying patterns range from interactive visualization to classic statistics through to machine learning processes. Methods that are frequently used include classification and regression trees (CART), cluster analyses, regression processes, neuronal networks and forecasting methods with time series data.


Solutions in the industrial segment

Due to the wide range of application scenarios, the following is only an excerpt: One classic problem is the identification of outliers in sensor data or anomaly detection in protocol data. In cluster analysis, groups of similar objects are identified that can be used for error and status typing.


Neuronal networks

Neuronal networks can learn and predict complex machine and system statuses and are therefore highly relevant in sophisticated matters of condition marketing and predictive maintenance.


Validation and quality assurance of results

Because data mining has no or very few requirements for carrying out the procedure, validation and critical evaluation of the results are absolutely necessary. Plausibility checks should therefore always be carried out together with machine and domain experts.

How do we support you in the industrial sector?

We use the entire spectrum of available methods and algorithms for data mining. Our data scientists hold considerable expertise and will help you discover unidentified structures, patterns and relationships in your machine and system data.

Um herauszufinden welche Trends, Muster und Zusammenhänge in Ihren Daten zu finden sind und wie Sie diese sinnvoll zur Umsetzung Ihres Use Cases verwenden können, bieten wir Ihnen als ersten Schritt einen kostenlosen und unverbindlichen Workshop, den sogenannten „Innovation Day“ an. Dazu analysieren wir Data Scientisten im Voraus des Workshops einen Auszug Ihrer Daten mit festem Blick auf Ihren Use Case. Ziel ist es, Ihnen und Ihrem Team fundierte Analyse-Ergebnisse während des Workshops vorzustellen und die Frage zu beantworten, ob und inwieweit der Informationsgehalt Ihrer Daten zur Umsetzung des Use Cases ausreicht. Sie haben dabei die Möglichkeit unser Vorgehen zu hinterfragen und die in Form von Visualisierungen vorgestellten Ergebnisse im Team zu diskutieren. Damit Ihr „Innovation Day“ ein Erfolg wird, benötigen wir neben einem repräsentativen Ausschnitt Ihrer Daten und der Beschreibung Ihres Use Cases, die Möglichkeit bei aufkommenden Fragen einen Daten- und Prozessexperten Ihres Unternehmens zu kontaktieren.

Mike Bonny, Data Scientist für Katana

Any questions? We are happy to help.

Katana, the data analytics segment of the USU Group, has extensive experience in the application of machine learning methods in the industrial sector. Take advantage of our knowledge and our solutions for building your data-driven business models to reduce your costs and improve your quality and value added.