Data Platform Solutions

Data Platform Solutions

Build a modern data architecture

Modern enterprises use from several to several hundred IT systems, each of them generates data that is everywhere. Data combined with artificial intelligence algorithms allows to make use of new opportunities in business process optimization. In order to use the value of artificial intelligence effectively, an organization must have the ability to turn data into knowledge and make better business decisions. Cloud solutions accelerate the development of modern data architecture implementation, enabling companies to acquire, structure, analyze data and deliver information in the enterprise faster by 75% and 50% cheaper, compared to traditional architecture. Cloud computing has become a way for large enterprises to modernize IT systems, for smaller organizations it opened up paths that were previously inaccessible, increasing their development potential.

For many years, it was an industry standard to leverage use of a data warehouse. Its purpose was to store and make cleansed data available to analysts and other users. The warehouse was supposed to be the central data repository for the entire organization. However, with the growth of organizations, their digitization and the development of analytical teams, data centralization has become an idealistic concept that is very difficult to achieve. Multiple analytical solutions rely on data located in different places, which increases the complexity of analytical processes and extends the time to benefit for the business that needs information fast. The answer to the business needs is a cloud data platform based on the "lakehouse" concept. Lakehouse combines the best elements of a data warehouse and data lake model while retaining many other important business benefits. 

Benefits
Collect and analyze demographic, transactional and behavioral data about your customers from existing channels and platforms. 
Share data within your organization to facilitate decision making and take advantage of upcoming market opportunities. 
Obtain structured and unstructured data in near real-time to support analytics. 
Reduce your IT infrastructure maintenance costs by focusing on getting value from your data. 
Extend your analytics solution with automated data mining services and artificial intelligence algorithms. 
Take care of the security of your data using advanced security and privacy protection mechanisms. 
How do we work
We believe that Data Science is a team sport, therefore we always carry out projects together with our partners. The highest priority for us is the quality of the solutions provided and customer satisfaction. We are an organization that follows Agile philosophies, we operate using agile project management methodologies.
Discover & Design

Understanding the business and learning about the business processes. Definition of goals and KPI’s. Solution designing.

Build & Deliver

Construction, testing and implementation of the target MVP solution.

Enable

Training within the client's organization and solution providing. Transfer of good practices and support for the client project.

Evaluate

Evaluation of the solution results and the key metrics of success for the project. Planning the development & optimization of the solution.

Drive

Optimization and development of the delivered solution with new functionalities or integrations. Support in maintaining the tool.

Do you want to build a modern data platform in your organization or do you have a problem with integrating data from different systems?

Our engineers will help you design a tailor-made architecture and support you in the implementation project.

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