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.
DWH-Data Lake Case studies
Data Warehouse design for patient case engagement platform Problem A Swedish software development company offering pharmaceutical companies a cloud-based and easy-to-use patient case engagement platform was experiencing data inconsistency. The company stores the data in a PostgreSQL JSON database used for analytics and dashboarding in their application. The existing data structure didn’t allow business users…
Problem A UK company developing software for Real Estate Performance was faced with the challenge of gathering too much data from different sources crucial for their decision-making and platforms AI model. 10 M of data points from six different sources arrived every day and needed to be stored and used in a structured and scalable…
Problem The overall problem we were focused on solving was the need for an analytical solution in organizations. By Analytical solution, we don’t mean only the solutions presenting the latest version of the truth for each file/document. The challenge was to create complex systems that can calculate the truth by integrating several documents/files such as…
Data Warehouse design for patient case engagement platform Problem A Swedish software development company offering pharmaceutical companies a cloud-based and easy-to-use patient case engagement platform was experiencing data inconsistency. The…
Problem A UK company developing software for Real Estate Performance was faced with the challenge of gathering too much data from different sources crucial for their decision-making and platforms AI…
Problem The overall problem we were focused on solving was the need for an analytical solution in organizations. By Analytical solution, we don’t mean only the solutions presenting the latest…
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