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.
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.
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:
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.
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
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.
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:
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.
Data platforms:
Microsoft Fabric, Snowflake, Apache Spark, Power Platform, Microsoft Dynamics 365, Google BigQuery, Amazon Redshift
Integration platforms:
Azure Data Factory, MuleSoft, Apache Camel, Power Automate, LogicApp, Talend
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.
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.
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. To safeguard RPT's business data from potential changes in OpenAI services, such as pricing or availability, we also developed a local model tailored to produce similar results without relying on external services.
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We renewed the information retrieval system of 020202 Palvelut Oy. The new user-friendly and cost-effective system will serve the needs of 02's customer service staff far into the future.
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