For End Users
Taking the digital transformation into your own hands.
Automate and Optimize with Collectu
Use Collectu to automate your day-to-day work and overcome the challenges of multiple interfaces and complexities in applying IT methods. With seamless integration with your existing systems, you'll gain greater visibility into your operations, optimise performance and stay ahead of potential problems.
- For domain experts and engineers without deep programming skills who want to apply data-driven solutions.
- For business analysts looking to leverage data insights without extensive technical training.
- For developers and data scientists who need to quickly prototype and deploy solutions without getting bogged down in code.
- For teams looking to streamline workflows and improve business logic.

Challenges
- Fragmentation of IT and OT: The separation of information technology (IT) and operation technology (OT) leads to a large number of interfaces and protocols that are often incompatible.
- High costs for connectivity solutions: Currently, the integration and implementation of data-based solutions requires extensive external expertise. This makes access difficult and is increasingly becoming a challenge as the demand for connectivity continues to grow.
- Vendor lock-in through Software-as-a-Service offerings: Are you able to switch providers or migrate data to another platform?! Unpredictable costs due to pay-per-use concepts.


Consequences
- Unused potential: The limited or non-existent use of data-based solutions means that valuable optimization opportunities remain untapped.
- Dependence on external service providers: Companies become heavily dependent on external developers and service providers. This results in high costs, inhibits flexibility and limits the scalability of solutions.
- Security Risks: Updating code and maintaining infrastructure is not only complex and costly, but also poses significant security risks if not done correctly.


Solution
- An open, decentralized application with no-code approach: Enables all users - regardless of technical expertise - to implement and use data-based value-adding services.
- A modular system with tested building blocks: The use of numerous tried-and-tested and up-to-date modules minimizes the effort required for code maintenance and upkeep.
- Automation of data management: Comprehensive solutions for data acquisition, processing, contextualization, analysis, visualization, storage and implementation of actions.


Advantages and Unique Selling Points
- Openness and flexibility: Ensures data sovereignty and scalability.
- Simplicity through Python-based logic: Python is the industry standard in data analysis and AI.
- Centralized management and team orientation: Rolling out updates, remote control and collaboration.