Big data processing and development

A customized database designed to meet specific business challenges to create efficient, reliable, accessible, and safe solutions.

  • Easy to use, responsive and secure data storage
    Storing data that is quickly accessible and easy to use. We develop databases to respond to the queries fast and provide great user experience while keeping your data safe. Security and privacy are our priority.
  • Custom-made database functions
    Databases serve their true purpose when their attributes are aligned with the company’s needs. Combination of specifically designed functions to solve your business problems with future growth in mind.

How we do it

We use advanced technology to develop solutions that satisfy the strategic and operational needs to increase business performance. It is a process of designing, implementing, and maintaining a database system.

  • Analysis
    We want to provide the best data-driven services and requirements regarding cost, scale, security, current workflows, and future development plans. We start by analyzing your business and data requirements to improve performance.
  • Establishing requirements
    Active communication and consultation with you let us understand your company. Agreement among stakeholders helps to develop a perfect fit. Beginning with considering the statement of requirements and finishing system specification.
  • Design
    Another step involves designing documentation that provides a detailed description of how a system should be constructed. A logical and detailed schema is created to define the data in the database in the conceptual data model.
  • Data preparation
    Determining what data should be collected and stored; defining business rules for consolidation, cleansing, and data quality improvement. Transforming it to make it useful, e.g. for reporting. We create a data flow from all your inputs and automate processes.
  • Data integration
    We integrate various data types and business logic schemas while keeping the ETL best practices and applying the most modern technology. The process consists of comprehending types of data, location, destination, calculations, and frequency of usage.
  • Testing
    Comparing the implemented system against the design documents and requirements specification and analyzing possible errors of implementation. The testing and bug fixing are iterations of all tasks within the database.
  • Maintenance
    The process involves managing the changes in the requirements, or the implementation, bug fixing, or migrating of the system to new environments. It includes the analysis of the changes, design of a new solution, implementation, and testing of that solution.

Use cases

  • Data reporting and visualization
    Leveraging the data via its analytics and visualization facilitates better decisions. Managing all kinds of data to create meaningful business insights.
  • Centralized data & distribution to different platforms
    Databases centralize data in one place, which makes it convenient and accessible for different systems to draw the data from while keeping them consistent.
  • Application data storage
    Apps demand databases to store data and each app requires a different kind of storage, depending on the specific app functions and its purpose.
  • E-commerce websites
    Websites generate customer data that have to be stored and connected with the product information to deliver the best customer experience, accurately and fast.

Want to achieve higher data quality and consistency across all processing? We can develop solutions to satisfy the strategic and operational needs.

Contact our team