Skip to content

OKTOPUS | Flexible data management & BI solution

From analysis to the smart data platform

Data is the foundation of successful digitalization and artificial intelligence. But before real added value can be created from data, one thing is needed: reliable data quality and transparency.

With the data check and the modular data platform OKTOPUS we help you to unleash the full potential of your data. We analyze your existing data landscape, evaluate the quality and integration potential of your sources and create a transparent, reliable database on this basis.

Optionally networked on top of this OKTOPUS networks your systems, cleanses and visualizes information from different sources – for well-founded decisions, more efficient processes and a stable basis for future AI applications.

Start now with Data-Check or use OKTOPUS directly!

Automated data preparation with OKTOPUS

Live demo: How the Data Check evaluates your data quality

Try it out directly: enter sample values and see how our Data Quality Check detects anomalies

Step 1: Data check – analysis and evaluation of your data landscape

In the first step, we carry out a data check together with you. We analyze your existing data sources, their quality and integration potential. The aim is to assess the usability of your data and develop specific recommendations for action in order to create a solid database. The result is a clear roadmap – from the current data landscape to a decision-ready database that serves as the foundation for digitalization, automation and AI.

Zeitpunkt 1 Zeitlinie

1.

Define goals – where do you want to go?

What insights would you like to gain from your data?

Which processes should be optimized or automated?

Would you like to know which insights you can gain from your data?

Zeitpunkt 2 Zeitlinie

2. Inventory

Are the existing data relevant, complete and, where applicable, suitable for the defined goal?

Zeitpunkt 3 Zeitlinie

3. Review existing data – is the available data suitable?

Which data sources, formats, systems and interfaces exist?

What infrastructure (hardware and software) is available?

Zeitpunkt 4 Zeitlinie

4. Recommendations for action – what are the next steps?

Which steps lead to optimal data quality and integration structure?

Advantages of the Data Check

Professionalism and expertise

For over 30 years, we have been supporting our customers along the entire algorithmic value chain – from the collection and bundling of raw data to intelligent forecasts and data-based decision support through to performance monitoring and seamless process integration.

As an interface between applied research and industrial software development, we offer our customers early access to innovative technologies while also allowing them to rely on stable, proven solutions.

Technology neutrality

Our aim is to show you the best path for your company and your specific goals, not to sell you a ready-made off-the-shelf solution. Based on our many years of experience with various open source technologies in data management and AI, we can advise you independently of any specific technology.

No further obligations

You are not tied to us when pursuing your goals further. We see the AI data check as a self-contained consulting service and not as a preliminary stage to a larger implementation project. The decision about any further collaboration is therefore entirely up to you.

A stable foundation for AI

The Data Check assesses the suitability of your data for future AI applications and ensures a reliable database.

Get Data-Check funded!

Depending on the type and scope, we will be happy to support you in finding the right funding!

Step 2: OKTOPUS – The modular platform for data integration, preparation and visualization

Based on the findings of the data check, OKTOPUS can be used to create your customized, modular data platform – individually tailored to your systems, processes and goals. The data check is not absolutely necessary: if you already know which data sources are to be integrated, OKTOPUS can also be implemented directly.

OKTOPUS brings order and structure to complex data landscapes: Data from a wide variety of sources – whether machines, sensors, ERP, MES or CRM systems – is brought together centrally, automatically cleansed, harmonized and logically linked, turning isolated data islands into a consistent, uniform information base that you can keep an eye on at all times via intuitive dashboards.

The platform thus creates a reliable, transparent data landscape that not only makes current key figures visible, but also reveals correlations and trends that previously remained hidden. With this clarity, companies can optimize processes in a targeted manner, make well-founded decisions and lay the foundation for automation and AI-supported applications.

Thanks to its modular structure, OKTOPUS grows with your requirements: New data sources, additional analysis modules or interfaces to existing BI tools can be flexibly integrated at any time – on-premise, in the cloud or as a hybrid solution. This makes OKTOPUS the central nervous system of your data world – reliable, scalable and future-proof.

Modular data platform OKTOPUS

Key features

Integration of diverse data sources

Integration of source files, database systems and sensor data for a holistic view of your business processes

Flexible deployment

Use of the platform in the cloud, on-premise or as a hybrid solution as required – tailored to your infrastructure and security requirements

Data preparation & data warehouse connection

Automated cleansing, harmonization and transfer of your data into a data warehouse – the basis for reliable, data-driven decisions

Connection of standard analysis tools

Seamless integration into common BI and reporting tools such as Power BI, Tableau or Qlik for quick analysis and use of the data

Integration into existing systems & workflows

OKTOPUS integrates seamlessly into your IT landscape without disrupting existing processes or creating redundant structures

Increased efficiency through automation

Automated data processing, cleansing and notifications ensure consistently high data quality and reduce the workload of specialist departments

Areas of application for business intelligence in production

Business intelligence offers a wide range of options for systematically using data from production, logistics, purchasing and other areas of the company. In practice, it is clear that certain areas of application are particularly often the focus when it comes to improving processes, creating transparency and making well-founded decisions.

These areas are among the most important fields of application for business intelligence in industry and production.

Production planning and forecasting

Analyzing historical production and order data enables precise forecasts of future demand. This improves resource planning, reduces downtime and increases on-time delivery in manufacturing.

Bottleneck detection and process optimization

Comparing time series data with planned production sequences helps to identify bottlenecks at an early stage and recognize optimization potential. This allows companies to respond to disruptions before they turn into major problems.

Plant and quality assessment

Business intelligence enables the assessment of machine performance, availability and quality. Sources of errors and rework rates can be broken down in order to implement targeted quality improvement measures.

Process and KPI overview

Integrating data from areas such as purchasing, sales or production in a central platform provides a holistic view of the company. Users get a fast, role-based overview of all relevant key figures – for example with tools such as PowerBI or Tableau.

Warehouse and supply chain management

Data-based visualizations create transparency about inventory levels, turnover rates, material availability as well as customer and supplier relationships. This helps reduce storage costs and minimize risks in the supply chain.

Cost control and compliance

Breaking down production costs to unit level enables exact calculation and margin optimization. At the same time, automated, standards-compliant reports save time and provide security during audits and certifications.

Use cases

Production analysis with process mining

Although a company stores production data centrally, it has little insight into actual process flows and their weak points.

Solution:
Based on a structured data warehouse, process mining can be used to analyze deviations between target and actual processes.

Benefits for the customer:

  • Transparent representation of real production processes
  • Identification of performance bottlenecks and bottlenecks
  • Root cause analysis for malfunctions and inefficiencies
Quality control and preventive maintenance at the wire manufacturer

A manufacturer of wires records machine data in real time at workpiece level for quality assurance and maintenance.

Solution:
The data is transferred to a scalable data lake model and integrated with other production data sources.

Benefits for the customer:

  • Error detection and correction of sensor data
  • Traceability in the event of quality problems (machine and line reference)
  • All production data on a standardized platform
Data-Driven Maintenance & Smart Inventory

A manufacturing company wants to use production and company data for better planning of maintenance and warehousing.

Solution:
RISC Software develops flexible software components such as:

  • Lasagna: For easy merging of configuration files
  • MCPF: For the automatic creation and execution of configurable data pipelines

Benefits for the customer:

  • Data-driven planning of maintenance and spare parts availability
  • Optimization of raw material orders by linking with order data
  • Modular design saves development time and costs
Real-time monitoring and process optimization in medical technology

A medical technology company wants to monitor its production in real time. The data on running times, machines used and materials are recorded centrally.

Solution:
RISC Software GmbH implements a data pipeline that retrieves and transforms production data in real time and transfers it to a data warehouse. The data is visualized in a user-friendly way via Power BI.

Benefits for the customer:

  • Live overview of the entire production status
  • Fast response in the event of bottlenecks or disruptions
  • Continuous optimization through short feedback cycles

What sets us apart

We offer customized data solutions that can be flexibly integrated into your existing IT landscape – without any ready-made standard software. Instead, we develop systems tailored to your project that combine technical excellence with economic efficiency. In doing so, we pursue a modular, open and technology-agnostic approach:

  • Flexibility in the choice of technologies used
  • Avoidance of additional license costs through the use of open source technologies Thanks to our broad technology portfolio
  • Connection and embedding in the existing system landscape thanks to solutions based on container technologies that can be operated flexibly in the cloud, in the data center or on-premise
  • Efficiency through know-how and our own open source tools such as Lasagna (for flexible system configurations) and MCPF (for configurable data pipelines) for maximum efficiency.
  • Modular solutions, whether a complete turnkey solution or a targeted addition
  • You want to take over after the end of the project? No problem. Or you can sit back and relax – we’ll take care of the rest with a maintenance contract
We rely on

Future-proof architectures

Individual front-end/back-end components

Deep system integration in ERP, CRM & Co.

Scalable data models and AI components

Transparent communication at eye level,

With over 30 years of experience in data-driven B2B applications, we don’t develop templates, but individual solutions – tailored precisely to your processes, systems and goals.

Our strength lies in the combination of modern data technology, clear business logic and AI-supported automation. We accompany you from the idea to implementation – in partnership, sustainably and with technical vision.

Reference projects

Arrange a 30-minute consultation now!

Contact us and do the data check or get to know OKTOPUS – analyze your data in real time and make informed decisions at a glance.

Name(Required)
Dr. Bernhard Freudenthaler

Chief Sales Officer

Read more

FAQs

What is OKTOPUS?

OKTOPUS is a data management and business intelligence solution developed by RISC Software GmbH.
It enables companies to centrally collect, link and efficiently analyze data from different sources – such as production, logistics or medical technology.

Which industries is OKTOPUS suitable for?

OKTOPUS can be used across all industries. It particularly benefits companies in
industry, production, logistics, medical technology and public administration
that want to structure and analyze large volumes of data flexibly.

How does OKTOPUS differ from classic BI tools?

OKTOPUS is not a standard solution, but a customizable platform
that integrates existing systems and breaks down data silos.
Unlike classic BI tools, OKTOPUS enables the combination of
real-time data, historical information and AI-based analyses – individually tailored to your infrastructure.

Is OKTOPUS also suitable for small and medium-sized enterprises?

Yes. OKTOPUS can be built modularly – from individual dashboards to complex data platforms.
This makes the system suitable for both SMEs and larger organizations with multiple locations.

Do I have to carry out the Data Check to use OKTOPUS?

No. The Data Check is an optional analysis service offered by RISC Software GmbH.
It helps companies assess their current data status, data quality and potential – but can be commissioned independently of OKTOPUS.
Likewise, OKTOPUS can be used directly if you already know which data sources are to be integrated.

Does the Data Check automatically lead to an OKTOPUS project?

No. The Data Check serves as a neutral data assessment and no-obligation consulting.
The result shows whether and how a data management solution such as OKTOPUS is worthwhile.
You then decide freely whether to use OKTOPUS, prefer another solution or stick with the analysis for now.

Can OKTOPUS be combined with existing systems?

Yes. OKTOPUS is system-independent and can easily be connected to
existing ERP, MES, CRM or laboratory systems.
Data is transferred securely via standardized interfaces and can be synchronized bidirectionally if required.

Is OKTOPUS vendor-independent?

Yes. OKTOPUS is completely vendor-independent and can be combined with almost any existing IT system – regardless of which software or databases you already use.
The system uses open interfaces (APIs) and standardized formats to securely integrate data from ERP, MES, CRM or laboratory systems.
This openness enables a future-proof data strategy without being tied to specific vendors or licensing models.
You retain full control over your data and systems.