Business Intelligence
& Big Data Engineering

We help companies of all sizes to Master strategic decision making

In the very near future, interactions between humans and machines will probably be as standard as an email message or a corporate P&L sheet, and most people will use data to optimize as much as possible details of their work.

Taking this in consideration, starting thinking of computers and models as business partners instead of servants or tools could be a smart move.

The idea that multidisciplinary teams are better than homogeneous ones must consider teams of humans and machines.


Let’s start naming laptops, models and systems as our team members.

How to become a data-driven enterprise?

Those who can gather the highest value from data in the fastest way can be considered as data-driven entities.

Today companies already use some predictive systems and AI-driven automation. However, enormous value is still unexplored creating inefficiencies. Many of the business problems are still resolved in a traditional way which takes a long time to solve.

Instead of creating big plans and developing projects based on the obtained data, businesses should ask themselves how they can solve challenges in a short time (e.g. hours, days) using `innovative data techniques.

Today companies already use some predictive systems and AI-driven automation. However, enormous value is still unexplored creating inefficiencies. Many of the business problems are still resolved in a traditional way which takes a long time to solve.

Instead of creating big plans and developing projects based on the obtained data, businesses should ask themselves how they can solve challenges in a short time (e.g. hours, days) using `innovative data techniques.

Data-driven organizations are able to make better decisions, automate basic day-to-day activities and decisions that are repeated regularly.


Employees thus have more time to focus on non-automatable aspects such as communication, collaboration and innovation. The data-driven culture drives continuous performance improvement to create truly differentiated actions.

Creating a culture of Data

Insights lie within the data, but the ability to see those insights requires an organizational culture that believes in the importance of data, encourages curiosity, and uses data in all decision making.

Our consultancy approach helps in creating and nurturing that culture in your organization.

We make a thorough assessment of the current condition and make propositions in finding ways to improve it by leveraging the power of data.

Insights lie within the data, but the ability to see those insights requires an organizational culture that believes in the importance of data, encourages curiosity, and uses data in all decision making.

Our consultancy approach helps in creating and nurturing that culture in your organization.

We make a thorough assessment of the current condition and make propositions in finding ways to improve it by leveraging the power of data.

How can Data Masters help your company?

We become an integral part of your Digital Transformation and provide consulting services and projects which enable the business users in all departments to adopt the Self-Service paradigm and autonomously use the data they have.

We are going to shift your people into the world of Business Scientists, the hottest job in 2023, by adding the technological knowledge into their background and knowledge in the business processes of the company.

Creating an Analysis Layer

The analysis layer is in fact a Business oriented Data warehouse(Lakehouse), fully designed by the business users, combining both descriptive data and outcomes of the Machine Learning models within  the organization.

Our goal is to provide the necessary know-how to each  business user and ensure the best practices of the Kimball methodology to be used in the process.

Having as an outcome a model which is understood and created by the business users,  along with an ML pipeline which is designed and defined by the key users, the organization  ensures fast acceptance, easier change management, and internal ambassadors of the  delivered solution. 

Application of the Data Masters methodology

As a consulting company, we deliver the best practice within one organization, a goal that is the base of our general value proposition.

Our methodology of work combines consulting, which is tailoring the best possible solution for the company, education, which is the combination of workshops and sessions with the business users and provides both acceptance, early feedback, and for the users to gain as much knowledge as possible from the solution.

Finally, the third piece of the puzzle is the implementation part in which our consultants are going to deliver the best practice on the market in terms of solution design, architecture, and processes.

Enable a data-driven culture by organizing your company data

Whether your company technical context is, on-premise or cloud-based, we will offer modern data architecture consulting services and develop solutions to improve digital transformation.

Data process optimization

We analyze and implement a solution to reduce resources and time consumed.

Data quality

Assure that your data is reliable, consistent, and complete.

Data Catalog

Improve your data accessibility across the company and enable information such as business calculation formulas.

Move from on-premise to cloud-based platform

Cloud is probably the most radically new data-architecture approach. It offers a way to rapidly scale AI tools and capabilities for competitive advantage. Cloud providers have revolutionized the way organizations of all sizes source, deploy, and run data infrastructure, platforms, and applications at scale. We will assist you as consultants and by executing projects to achieve a modern data lake architecture.

Move from batch to real-time processing

We will assist you as consultants and by executing projects to change ETL processes from batch processing to a seamless data movement.

Move from closed product solution to a scalable best-of-breed platform

We will assist you evaluating and design a scalable best-of-breed platform

Move from rigid data models to dynamic data models

We will redesign your architecture in order to accommodate flexible and extensible data schemas.

DWH-Data Lake Case studies