In the next episode of the Coffee Break interview series, we talk to Panna, our junior consultant, in whose life outside of work a truly special sport plays a leading role: eventing.

For the second time, we organized the Clarity charity experience auction, which once again showed how a good idea can turn into a shared experience and tangible help.

The goal of the Szeged–Timișoara Data Space, or STiDS project, is to establish a cross-border urban data space that supports sustainable transport, air quality monitoring, and data-driven urban management.

Robotic Process Automation (RPA) is no longer just a "pilot project" – more and more domestic companies are building automation strategies on robots in a scalable, commercially viable way.

At the beginning of June, our team met in Tiszafüred to break away from everyday life and spend two days sharing experiences and relaxing.

For a project manager following traditional project management methodologies, even a data warehouse project of average complexity can present a huge challenge. [2]

The primary goal of this series of articles is to discuss today's main professional, managerial, and organizational difficulties around data warehousing, and to provide a guide for those data warehouse managers who want to view the impact of their daily work and the consequences of their decisions from a strategic perspective.

What impact does artificial intelligence have on organizational culture, and how should its corporate implementation be supported? These are the questions explored in the joint, three-part podcast series by Coaching Team and Clarity Consulting.

The Portfolio Financial IT conference was held on May 27th, where once again this year the most current technological questions of the financial sector were in focus.

Loan provided to finance the digitalization of Clarity Consulting Kft. within the framework of the DIMOP Plusz-1.2.3/A-24 single-operation combined loan program

In the initial period of the business application of artificial intelligence, we primarily talked about the potential inherent in the technology. Today, however, the most important question is not whether we use AI, but how we integrate it into our operations in a conscious, secure, and controllable way.

Motorcycling is not just a form of transportation – it is a passion, a lifestyle, a community. Some pursue it as a hobby, for others it is part of their daily life, but one thing is for sure: once you get a taste of it, it becomes a lifelong love.

This spring, we once again held our annual professional day, which created an opportunity for our colleagues to share their experiences, gain new perspectives, and think together about current professional issues.

In our article Data Warehouse Project Management: Challenges and Best Practices I, we introduced a DWH anomaly, examined the role of data quality in relation to data warehouses and partner systems, and discussed the difficulties of positioning completed developments before management. We also presented the potential impacts of data corrections and introduced a DWH professional term established in the English-speaking world. 

Social responsibility for us is not only a commitment, but also a shared experience and action.

Common foundations, a supportive start – orientation training in Szeged

On March 18, we attended the Portfolio AI in Business 2026 conference, where the most important business, technological, and security questions of corporate artificial intelligence took center stage.

What is it like to work in a development team where professional challenges, modern technologies, and a supportive environment are all present at the same time?

The question is not whether it is AI or automation.
But whether you have an operation that can be automated.

Hungarian corporate life is buzzing with the organizational integration of artificial intelligence solutions and the implementation of innovative AI Proof of Concepts. Over the past year, the automation market—platform providers and developers, consultants, and user IT organizations alike—has posed the question: do other automation technologies, including the equally transformative Robotic Process Automation (RPA), have relevance in the coming years and in the long term?

A coffee break is often about more than just a few minutes of rest – sometimes it reveals the stories behind your colleagues.

Procurement is a key factor in the operation of any organization, as it directly impacts cost-efficiency, the optimal allocation of resources, and financial stability.

In our coffee break interview today, not only can we get to know a new colleague, Eszti, more closely, but we also gain an insight into the world of a special sport, archery.

Clarity Consulting has been a key player in rethinking the processes and IT systems of domestic companies for more than two decades.

Clarity We held our first Coffee Break interview of this year with Anett Erdei, a member of the HR team, with whom we talked about an exciting and increasingly popular hobby, mushroom foraging.

To place the DataLake concept in its proper place within our professional toolkit, it is important to start with a brief theoretical overview. When we design new data warehouses, we fundamentally base our approach on either the Inmon or the Kimball methodology.

In Clarity's corporate client base, i.e. Banks, Insurance Companies, and State Institutions, we frequently encounter systems backed by highly complex transactional (OLTP) or analytical (DWH) databases. These are often legacy-type database layers that have been continuously developed, in some cases for up to 10-15 years, without any major redesign or rethinking.

From our previous article, we could see that introducing a strict development policy (which blends permissive and restrictive rules with appropriate emphasis) provides an opportunity to work with Junior developers on the principle of "transparent architecture, lower entry threshold."

During their operations, companies accumulate increasing amounts of increasingly complex data. In order for the stored data to represent real value, it needs to be structured, as this is how useful information can be extracted from it. Extracting structured information from raw data sets is the focus of data management.

In recent decades, rethinking and optimizing organizational processes, and parallel to this, the digitalization of activities, has also received significant emphasis in the public sector. However, digitalization has been able to develop spectacularly primarily in those areas where general, standardizable activities had to be supported by IT tools.