Data Science, AI & Advanced Analytics

Gaining valuable information from data

Data Science & Advanced Analytics provides answers!

  • How can the quality of production processes be increased?
  • Which customers could the company lose and why?
  • When do machines need to be serviced?
  • How can time-consuming decision-making paths be shortened?
  • To what extent can the risk involved in making complex decisions be reduced?

Digital transformation changes the foundation of every company in the long term. Those who want to achieve the greatest possible benefit and best results in their business areas in the future are dependent on identifying risks at an early stage, optimizing business processes and deploying resources with maximum efficiency. Data Science & Advanced Analytics encompasses a wide range of tools that can examine business processes and help bring about changes and improvements.

We supported a customer from the automotive industry with both predictive methods and prescriptive analytics, enabling demand forecasting combined with optimized production planning. New orders are now scheduled quickly and reliably. Existing plans are simultaneously optimized to ensure that production runs as effectively as possible. This ensures that the customer receives his delivery on the desired date.

Find out how X-INTEGRATE can also use advanced analytics tools in your company and contact us!

Process optimization through decision support

Industrial Internet of Things

Advanced Analytics offers a powerful palette that helps you to get to know your own company better and to comprehensively understand processes. With its help, collected data is better understood and valuable information extracted which leads to better, well-founded decisions. Evaluation can take place using what-if scenarios which help to automate decisions. All this improves your processes to positively differentiate your business from the market and remain competitive.

(R)evolution through the use of Artificial Intelligence

The success factor for efficient optimization of processes is the collected data. Cognitive technologies are able to process a company's data in depth and develop an understanding from it. To do this, they analyze data - natural-language as well as structured - and organize it into a semantic system so that it can be understood within a frame of reference. Such analyses can help companies shorten or analyze planning processes. Cognitive computing can be AI methods as well as classic chains of data mining and neural networks or predictive analytics. They serve the goal of offering planners several alternatives from which they can choose the one that suits the company best.

Use cases

  • Site Optimization
  • Supply Chain Optimization
  • Churn Prediction
  • Production Optimization
  • Warehouse Optimization
  • Predictive maintenance
  • Route Optimization
  • Predictive Quality
  • Corporate planning
  • Purchasing planning

Data Science & Advanced Analytics
Kompetenz 2/27/25

Data Science, AI & Advanced Analytics

Data Science & Advanced Analytics includes a wide range of tools that can examine business processes, help drive change and improvement.

Schild als Symbol für innere und äußere Sicherheit
Branche

Internal and external security

Defense forces and police must protect citizens and the state from ever new threats. Modern IT & software solutions support them in this task.

Schild als Symbol für innere und äußere Sicherheit
Branche

Internal and external security

Defense forces and police must protect citizens and the state from ever new threats. Modern IT & software solutions support them in this task.

Schild als Symbol für innere und äußere Sicherheit
Branche

Internal and external security

Defense forces and police must protect citizens and the state from ever new threats. Modern IT & software solutions support them in this task.

Headerbild zu Operationalisierung von Data Science (MLOps)
Service

Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

Headerbild zu Operationalisierung von Data Science (MLOps)
Service

Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

Headerbild zu Operationalisierung von Data Science (MLOps)
Service

Operationalization of Data Science (MLOps)

Data and Artificial Intelligence (AI) can support almost any business process based on facts. Many companies are in the phase of professional assessment of the algorithms and technical testing of the respective technologies.

Navigationsbild zu Data Science
Service

AI & Data Science

We offer comprehensive solutions in the fields of data science, machine learning and AI that are tailored to your specific challenges and goals.

Navigationsbild zu Data Science
Service

AI & Data Science

The amount of data that companies produce and process every day is constantly growing. This data contains valuable information about customers, markets, business processes and much more. But how can companies use this data effectively to make better decisions, improve their products and services and tap into new business opportunities?

Referenz 10/29/21

Standardized data management creates basis for reporting

TIMETOACT implements a higher-level data model in a data warehouse for TRUMPF Photonic Components and provides the necessary data integration connection with Talend. With this standardized data management, TRUMPF will receive reports based on reliable data in the future and can also transfer the model to other departments.

Referenz 10/29/21

Standardized data management creates basis for reporting

TIMETOACT implements a higher-level data model in a data warehouse for TRUMPF Photonic Components and provides the necessary data integration connection with Talend. With this standardized data management, TRUMPF will receive reports based on reliable data in the future and can also transfer the model to other departments.

Referenz 10/29/21

Standardized data management creates basis for reporting

TIMETOACT implements a higher-level data model in a data warehouse for TRUMPF Photonic Components and provides the necessary data integration connection with Talend. With this standardized data management, TRUMPF will receive reports based on reliable data in the future and can also transfer the model to other departments.

Navigationsbild zu Data Science
Service

Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

Navigationsbild zu Data Science
Service

Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

Articifial Intelligence & Data Science
Service

Artificial Intelligence & Data Science

Data Science is all about extracting valuable information from structured and unstructured data.

Articifial Intelligence & Data Science
Service

Artificial Intelligence & Data Science

Data Science is all about extracting valuable information from structured and unstructured data.

Navigationsbild zu Data Science
Service

Data Science, Artificial Intelligence and Machine Learning

For some time, Data Science has been considered the supreme discipline in the recognition of valuable information in large amounts of data. It promises to extract hidden, valuable information from data of any structure.

Headerbild für Prozessmanagement
Kompetenz 2/26/25

Process Management

Process management causes additional work in the introduction phase, but this quickly turns into added value for your company as well as for employees, business partners and customers.

Headerbild für Prozessmanagement
Kompetenz 2/27/25

Process Management

Process management causes additional work in the introduction phase, but this quickly turns into added value for your company as well as for employees, business partners and customers.

Felss Logo
Referenz

Quality scoring with predictive analytics models

Felss Systems GmbH relies on a specially developed predictive analytics method from X-INTEGRATE. With predictive scoring and automation, the efficiency of industrial machinery is significantly increased.