Skip to main content

Solution Description

Every Organisation is unique – the systems it works with are different, the data it collects is different, the needs, issues and concerns are different and, ultimately, the ways in which it works with data and the expectations for its analytical use are different. We therefore take an individual approach to each Client and help them implement a solution that is optimal for their circumstances, which would not necessarily work under other boundary conditions, including in particular the quality of the source data, its volume, the number and technology of the source systems.

The market for data processing tools today offers many opportunities. We can use cloud or on-premises, paid or open-source tools, and in the end we can opt for a homogeneous environment from one provider or choose and put together tools from several different ones. The choice of tools is always an individual decision, which should be based on a thorough analysis of the current situation and needs. Until recently, there has been a clear trend towards migrating solutions to the cloud. Today, this is no longer so obvious and moves in the other direction are also becoming more common, as different solutions may prove most beneficial in certain situations.

In the first phase of the work, we always seek to identify and have a good understanding of the Client’s needs and problems. This may involve auditing the existing Business Intelligence ecosystem or conducting a series of pre-analysis interviews. Knowing the needs, we proceed to the actual design of the construction of the target solution. The composition of the project team always depends on the Client’s situation and, depending on the complexity of the source systems and the data itself, is adapted accordingly. The project involves developing the architecture, conducting a detailed business analysis, modelling the target solution, preparing data mappings and, ultimately, developing integration solutions and target analytics solutions (e.g. reports or AI solutions). The process is lengthy, but always able to be broken down into stages, so that we quickly deliver business value and confirm the relevance and correctness of the approach taken.

Case study

One of the more interesting data platforms we have implemented recently was for a company in the financial industry, which was faced with the need to migrate a legacy reporting system, based on technology whose lifespan and support was coming to an end, to a modern solution that could function and be developed over the next few years.

In the Client Organisation, the historical reports were created on a replica of the raw data, coming directly from the source systems. Approximately 500 reports were actively used, which were characterised by a high repetition of information.

The Organisation decided to opt for Microsoft solutions – the MS Fabric environment as a data processing and storage tool, and MS Power BI as a reporting environment. We built the environment in a so-called medallion architecture, using a Bronze Layer of raw data, a Silver Layer in the Data Vault methodology, guaranteeing efficient processing and flexible expansion in the agile methodology, and a Gold Layer, in the classic Kimball dimensional approach. Based on the data from the Gold Layer, we prepared a reporting layer, where we consolidated existing reports into a smaller number of modern and user-friendly reporting applications.

As a result, the Client obtained a modern data platform and reporting environment, based on technologies that guarantee good support and maintenance for many years to come. Thanks to the approach taken, the development of the environment with new functionalities is straightforward and does not require significant changes to the previously implemented business scope. Data users, in turn, gained an environment providing cleaned and standardised data in a structured format and a set of reporting solutions covering current needs in a condensed and accessible form.

See our other solutions

Machine Learning

We specialise in the development of Machine Learning solutions that enable effective product and stock management through advanced forecasting and recommendation systems, tailored to dynamic market conditions and client needs, resulting in optimised operations and increased efficiency.

360-Degree Client View

Our Central Client Database solution enables comprehensive and consistent analysis of data from different systems, integrating advanced data cleaning algorithms to provide a high-quality, complete view of the Client, supporting accurate business decisions and operational efficiency.

Everything Begins with a Conversation

Close Menu

Data by Example
al. Jana Pawła II 27
00-867 Warszawa
NIP 5273102802