Data and integrations
Let's turn your data into an asset
Modern data foundation for AI-based decision-making
Data-driven management cannot succeed if information is scattered across different systems, reports, and the minds of individual experts. Modern, AI-based data and integration solutions bring structured and unstructured data together, support AI-based analytics, and create the foundation for a real-time situational overview. This enables you to make better decisions, respond to changes more quickly, and truly leverage data to drive business development.
Manage your business from a single dashboard
The amount of data available to organizations is constantly growing, as are the opportunities to utilize it. However, the mere increase in data does not yet provide clarity on the big picture. At the same time, the growing prevalence of AI-based applications further increases the need to utilize information effectively and highlights the importance of centrally available data.
Few organizations have a truly unified understanding of their own situation. Information is scattered across different systems, reports, files, emails, and the minds of experts. Without a shared view, decisions are delayed and are often based on incomplete information.
Competitiveness stems from the ability to leverage all available information. We help you integrate structured and unstructured data into a cohesive whole using AI-powered data platforms and analytics solutions. This provides a clearer overall picture, speeds up response times, and improves decision-making.
A new approach to data-driven leadership in the age of AI
AI-based solutions are transforming the way leaders view the big picture. Traditional reporting is relegated to weekly meetings as AI supports decision-making and provides answers to key business questions.
Modern data management is based on three key changes:
- A single shared situational overview – even incomplete data is sufficient
- AI agents support decision-making and highlight anomalies
- The role of humans is shifting from reporting to guidance
For example, the role of the controller is shifting from that of a report producer to a guide for the direction of the business. The executive team gains access to a broader range of analyses and the ability to evaluate options more quickly.
This requires a modern data platform, a robust governance model, and AI capabilities integrated into both development and operations.
AI-powered data warehouse development – a 15-times faster path to production
Traditional data warehouse development is often a cumbersome and time-consuming process. Our AI-powered development model changes that.
The role of AI is not limited to brainstorming. With the help of artificial intelligence:
- build data models and loading logic
- automate testing and quality assurance
- document and validate the existing implementation
- implement infrastructure and automated development pipelines
- streamline virtually every stage of the development process throughout the entire data pipeline, from source to visualization
When AI is systematically leveraged at every stage of the development process, the result is faster deployment, reduced resource requirements, and a shorter time to value.
Toward autonomous development by enhancing AI capabilities
Artificial intelligence is often discussed in general terms. Analyzing an organization’s maturity level helps establish a clear and concrete roadmap for effectively leveraging AI.
Maturity progresses in stages:
- AI as a tool for individual tasks
- AI integrated into the development environment
- Agents that understand context
- AI solutions orchestrate the platform
- Partially autonomous development
As maturity increases, performance improves significantly. The most important thing, however, is a controlled approach: information security, AI policies and guidelines, and architecture are built on a solid foundation from the very beginning.
We help our clients assess their current situation and define a realistic path forward.
Modern integration architecture to support data governance
Effective data management requires that data flows reliably between different systems. We design and implement integration solutions in which APIs, event-driven messaging, and batch processes form a single, cohesive system.
We integrate business-critical systems, such as ERP and CRM solutions and data platforms, so that information is available in the right place at the right time. This ensures that integrations do not become isolated technical implementations, but rather support the overall business view, decision-making, and seamless interaction between systems.
We utilize modern cloud services and integration platforms, such as Azure Integration Services. Key aspects of our implementations include interface management, event-driven architecture, data security, network isolation, and the scalability and fault tolerance of our solutions.
Effective integration evolves alongside the business
Good integration does more than just connect data sources; it adapts to changing needs. That is why we design solutions so that their performance can be monitored, maintained, and developed in a controlled manner throughout their entire lifecycle.
We implement integration infrastructure as code and deploy solutions to various environments via automated CI/CD pipelines. Centralized logging, monitoring, and alerting make integrations transparent and help detect anomalies before they impact business operations.
In this way, the integration architecture is not merely a technical backbone, but forms a solid foundation for data utilization, AI solutions, and continuous business development.
These could benefit you
RPT's new service utilizes AI and LLMs for efficient data structuring
RPT sought to transform their vast collection of unstructured data into structured data products. We leveraged AI and large language models (LLMs) to convert this unstructured data into structured formats, creating relevant and useful classifications for RPT's clients.
High-quality information retrieval system improves 02's customer service
As the system that had previously been used to help customer service agents was coming to an end, they wanted to invest in a new system. This would serve the needs of 02's customer service staff as far into the future as possible. User-friendliness was a key factor in the creation of the tool. As this was a major, long-term investment, 02 chose quality software company Fluentia as its partner.
