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

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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.
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Artificial Intelligence & Data Science

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

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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.

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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.

Analytics und Business Intelligence
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Analytics & Business Intelligence

Analytics & Business Intelligence has become increasingly important in recent years.

Blog 12/7/22

State of Fast Feedback in Data Science Projects

DSML projects can be quite different from the software projects: a lot of R&D in a rapidly evolving landscape, working with data, distributions and probabilities instead of code. However, there is one thing in common: iterative development process matters a lot.
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Conception of individual Analytics and Big Data solutions

We determine the best approach to develop an individual solution from the professional, role-specific requirements – suitable for the respective situation!
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Big Data

Extract valuable information from data - Take advantage of serverless, integrated end-to-end data analytics services to leave traditional limitations behind.

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Data Insights

With Data Insights, we help you step by step with the appropriate architecture to use new technologies and develop a data-driven corporate culture
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Google Analytics

Google Analytics comprehensively analyzes website data with free tools in one place. Understand your customers better with three simple steps.

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IBM Planning Analytics mit Watson

IBM Planning Analytics with Watsons enables the automation of planning, budgeting, forecasting and analysis processes using IBM TM1.

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Talend Real-Time Big Data Platform

Talend Big Data Platform simplifies complex integrations so you can successfully use Big Data with Apache Spark, Databricks, AWS, IBM Watson, Microsoft Azure, Snowflake, Google Cloud Platform and NoSQL.
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Data Governance

Data Governance describes all processes that aim to ensure the traceability, quality and protection of data. The need for documentation and traceability increases exponentially as more and more data from different sources is used for decision-making and as a result of the technical possibilities of integration in Data Warehouses or Data Lakes.

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Advanced Admin

The adminstration tool for Google Workspace Admins.
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Artificial Intelligence & Data Strategy

Every company collects and manages vast amounts of data, e.g. from production processes or business transactions.
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Analytics, BI & Planning

Powerful and flexible solutions to help you make better decisions, meet customer needs & identify opportunities with Analytics, BI & Planning
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AI Factory for Insurance

The AI Factory for Insurance is an innovative organisational model combined with a flexible, modular IT architecture. It is an innovation and implementation factory to systematically develop, train and deploy AI models in digital business processes.
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Advanced Roadmaps

Roadmap that keeps teams, deadlines and goals clearly in view

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Demand Planning, Forecasting and Optimization

After the data has been prepared and visualized via dashboards and reports, the task is now to use the data obtained accordingly. Digital planning, forecasting and optimization describes all the capabilities of an IT-supported solution in the company to support users in digital analysis and planning.

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IBM Cloud Pak for Data – Test-Drive

By making our comprehensive demo and customer data platform available, we want to offer these customers a way to get a very quick and pragmatic impression of the technology with their data.

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