DATA SCIENCE
Data-driven value creation in the digital age

Data Science for better competitiveness

In times of big data, topics like artificial intelligence and data science are everywhere. But how can you use them for your own economic benefit?

Data science is about extracting hidden knowledge from data to make decisions in the right places and simply processes.

Through our expertise and the intelligent software’s variety of application areas, you can increase your productivity, reduce your costs and, above all, save valuable time.

Find out what our approach is and develop opportunities and potential from your challenges and data.

Example use cases give you an insight into the many possible applications for data science.

PIKON data science lab and AI consulting – our services at a glance

We custom train artificial intelligence to solve your problem. Flexibility, expandability and adaptability are our top priorities. Through our experience with business processes, organisational development and business intelligence, we are very familiar with the many data sources in companies. We use open source frameworks for AI applications. We have experience with different cloud providers and adapt to the infrastructure in your company. As a result, the use of artificial intelligence does not require large investments in infrastructure.

AI Consulting

We advise you and find a data-driven solution to your problem using AI with and without SAP.

AI Operations

We advise you and find a data-driven solution to your problem using AI with and without SAP.

AI Products

We offer customised solutions to automate processes.

Our expertise for your success

With our team of data scientists and mathematicians, we create real added value for your company. In times of digitalisation, data is abundant. The important thing is to use it skilfully to build competitive advantages. We support you in this – find out how in a direct exchange.

Our approach to the project

In our projects we like to work closely with your department and data owners in an agile way, because you know your requirements and data best. To practice the first throw of an AI application, we like to work agile and build a prototype. Data preparation and transformation are among the most time-consuming steps. We therefore build data pipelines that can be reused for other applications. Once a prototype delivers the desired results, we find the perfect structure to make the application productive in your company. This may be on a cloud platform, as a packaged Docker application or as a service hosted by us. 

Our Toolset: 

  • AI applications: Python, R and SQL / SQLScript programming languages 
  • Code and model versioning: Git
  • Different cloud platforms (GCP, Azure, Azure Databricks, AWS, SAP Data Intelligence)
  • Data sources (SQL-DW, NoSQL, distributed data sources like Spark/Hive).
  • Container-based services (Docker, Kubernetes)

Typical use cases

Every industry and every company has unique challenges. Our use cases show you how you can counter these with AI to generate the most value.

Our team of data scientists and mathematicians can help you with these issues, but also with very individual needs. 

What's your use case?

  • Would you like to know how artificial intelligence can help solve a specific problem in your company?
  • Would you like to automate time-consuming processes?
  • Are you interested in forecasts to simplify your planning?
Contact us, we will be happy to support you!

Typical use cases of Data Science

Smarter Master Data Management with AI

Duplicate records, inconsistent formats, and anomalies in Master Data can disrupt critical business processes—especially during migrations. Our end-to-end AI-powered solution for Master Data addresses this by automatically identifying duplicates, correcting inconsistencies, and enforcing standardisation at scale.

Using proprietary Machine Learning and Natural Language Processing algorithms, our tool ensures real-time data cleansing, reduces manual effort, and improves overall accuracy. With a built-in Exploratory Data Analysis dashboard, you gain instant, actionable insights—empowering faster, more confident decisions and maintaining data integrity across your enterprise.

Core capabilities:

  • ML-Based Data Cleansing: Detects and merges duplicates, corrects errors, and standardises formats automatically.
  • Interactive EDA Dashboard: Visualize and explore your data in seconds for deeper insights.

Read our blog article to know more about master data management.

Quality inspection for smarter production

Quality inspection with Data Science

Undetected defects and unplanned maintenance can disrupt production and drive-up costs. Our end-to-end AI-powered inspection system combines real-time sensor data and automated image analysis to detect anomalies early—before they escalate into major issues.

We developed AIQinspect together with the Zentrum für Mechatronik und Automatisierungstechnik, the solution uses proprietary machine learning models to inspect quality of rivets in aircraft production and identify surface or structural defects. This enables proactive maintenance, reduces downtime, and ensures a steady, efficient production flow.

Core capabilities:

  • Sensor-Based Anomaly Detection: Continuous monitoring to detect subtle shifts in performance
  • Automated Computer Vision Inspection: High-speed image analysis to catch visual defects with precision

AI Agents for End-to-End Business Automation

Kostenabweichungen mit Data Sciece vorhersagen

AI Agents are autonomous systems that execute complex, multi-step business tasks with full awareness of enterprise context. Leveraging Retrieval-Augmented Generation (RAG), these agents securely access real-time data from SAP and non-SAP systems to reason, act, and automate workflows intelligently.

From answering employee HR questions using live data from SAP SuccessFactors, to assisting sales teams with up-to-date customer insights and service history or automating supply chain actions like purchase requisitions to prevent stockouts—AI Agents streamline operations and reduce manual effort across departments.

Core capabilities:

  • Context-Aware Automation: Executes multi-step workflows with full understanding of business logic, enabling autonomous decisions across HR, sales, supply chain, and more.
  • Real-Time Enterprise Integration: Securely connects to SAP and non-SAP systems, retrieving live data to ensure timely, accurate, and informed actions.

Contact us

Our Data-Science expertise for your success! Don’t hesitate to contact us.

Martina Ksinsik
Martina Ksinsik
Customer Success Manager
Christian Masiak
Christian Masiak
CTO PIKON Deutschland AG