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Tools that support your goals, not the other way around.

Over the years, we have worked with dozens of data technologies and continue to adopt new ones. For us, the tools and technology are never the starting point. The starting point is the client’s business challenge. We identify the solution that best fits your architecture, requirements and business logic, and select the technologies accordingly. At the same time, certain tools have consistently proven their value across projects, including Tableau, Snowflake and dbt. We have therefore established official partnerships with these providers and use their technologies extensively.

Tableau, Snowflake and dbt

Tableau is our most widely used data analytics and visualisation platform. As a local partner, we help you define your requirements and support you throughout the entire journey.

Our team includes certified consultants with extensive hands-on experience across real-world projects. We support the entire Tableau lifecycle, from licensing and implementation to training and long-term support.

Read about Tableau and our services →

WHAT THIS MEANS FOR CLIENTS
  • A well-planned licensing and development strategy
  • Certified and experienced consultants
  • Local technical support
  • Training for users of different expertise levels

We use Snowflake when you need a scalable, high-performance cloud data platform. We help design the architecture, implement the platform and integrate it with the rest of your data environment.

Our certified, experienced consultants and developers support the entire journey, from migrating away from legacy platforms to performance optimisation, cost management and security policy configuration.

Read about Snowflake and our services →

WHAT THIS MEANS FOR CLIENTS
  • Certified Snowflake architects and developers
  • Full scale Snowflake implementation with dbt and Tableau
  • Performance and cost optimisation
  • Legacy platform migration support

dbt has become a leading standard for modern data transformation. It brings software engineering best practices such as version control, testing and documentation into the data transformation process, directly within the data warehouse. The result is reliable, well-documented data models that are easier to maintain and evolve.

We use dbt across most of our data warehouse projects. Beyond new development, we also review and improve existing dbt solutions, introduce best practices and automate CI/CD workflows.

Explore Analytics-as-a-Service →

WHAT THIS MEANS FOR CLIENTS
  • Tested and documented data models
  • Version control: every change is tracked and documented
  • Best practices and CI/CD automation
  • Experience with both dbt Cloud and dbt Core

Our primary technology stack

A selection of the technologies we use most across our projects. It’s not an exhaustive list, but highlights the platforms and tools where we have the strongest hands-on experience and expertise.

DATA INGESTION

AirbyteFivetranPython ETLREST API integrations

DATA WAREHOUSE & PLATFORM

SnowflakePostgreSQLMicrosoft SQL ServerAzure SynapseDatabricksTeradataVerticaClickHouse

TRANSFORMATION & MODELLING

dbtPythonSQLSparkPentahoApache HopMicrosoft SSISOracle ODI

VISUALISATION & BI

TableauPower BIQlikGrafana

CLOUD PLATFORM

AWSAzureGoogle Cloud

AI & MACHINE LEARNING

Python / scikit-learnAzure OpenAIOpenAI APIRAG architectures

Our consultants combine hands-on project experience with industry-recognised certifications from Tableau, Snowflake, dbt and Microsoft. For other technologies, our expertise is built on practical experience gained across real-world client projects.

  1. 1

    Data roadmap

  2. 2

    Understand the problem

  3. 3

    Choose the right solution

Start with the problem, not the tool

One of the most common mistakes in data projects is choosing a technology before truly understanding the problem. We see this regularly: an organisation may have purchased several terabytes of Vertica capacity, only to find its actual data volumes and user base fall well short of that capacity. The result is over-investment and unnecessarily high fixed costs. In another case, Tableau has been adopted, but the underlying data remains fragmented and the tool ends up being used mainly as an ETL workaround or to replace old Excel reports. In that case, the underlying problem isn’t solved: a new tool is simply added on top of the existing complexity.

We take the opposite approach: we start by analysing the situation and understanding the problem, and only then recommend the right solution, of which technology is just one part. Sometimes that’s Snowflake, sometimes PostgreSQL. Sometimes what’s needed isn’t a new tool at all, just better-quality data on the existing platform.

Being a certified partner doesn’t change that principle. It gives us deeper expertise in the technologies that most often prove to be the right fit for businesses.

Not sure which tool best suits your needs?

We start with a data audit that gives you a clear picture of your current data landscape, what’s missing, and which investments have the greatest potential return.

Rainer Orro
BUSINESS DEVELOPMENT MANAGER

Rainer Orro

Let’s talk about your data analytics needs.

[email protected]+372 513 2632