Skydata specialises in various technologies to provide a fully comprehensive business intelligence service to both small and large businesses. We can also implement completely custom solutions to meet your project requirements.
Data Warehousing (DW) is the process of collecting, organizing, and managing data from multiple sources to support business intelligence and decision-making. It serves as a central hub that connects and analyzes data from diverse systems, enabling a unified view of the business.
A data warehouse combines technologies and components designed specifically for large-scale data storage, optimized for analysis and reporting rather than day-to-day transactions. It transforms raw data into meaningful insights and ensures that accurate, timely information is available to business users—empowering informed, strategic decisions across the organization.
Data processing is the transformation of raw data into meaningful, usable information. When done correctly, it ensures the accuracy and reliability of the final output, which is critical for effective decision-making. The process begins with unrefined data and converts it into user-friendly formats—such as graphs, dashboards, or reports—enabling business users to interpret and analyze insights efficiently. By giving data the necessary structure and context, data processing allows computers to manipulate and store it, ultimately delivering valuable outputs to stakeholders across the organization.
ETL (Extract, Transform, Load) is the process of pulling data from various systems, enriching it with business logic, and loading it into a central data warehouse. It ensures that raw data becomes meaningful and ready for analysis.
While it might sound simple, ETL is a complex and ongoing operation that involves input from developers, analysts, testers, and business leaders. A well-designed ETL process must be fast, flexible, automated, and able to adapt as business needs evolve. Without it, a data warehouse loses its value as a reliable source for decision-making.
SQL (Structured Query Language) is a standardized programming language that’s used to manage relational databases (RDBMS) and perform various operations on the data in them. SQL is regularly used not only by database administrators, but also by developers writing data integration scripts and data analysts looking to set up and run analytical queries. At Skydata, SQL forms the core foundation of technologies that we use to manipulate and analyze data and forms a large part of our business intelligence services. We also fully utilize Microsoft’s SQL extension, known as T-SQL, to further extend the powerful features and functions SQL can provide to businesses.
An OLAP cube is a specific method of storing massive amounts of data in a data warehousing environment. The term “cube” refers to the numerous defined dimensions, measures, and hierarchies by which users designate their data to be stored and constructed for in-depth analysis. Dimensions and measures are known to be the building blocks of any report . For example, sales would be a measure that is reported by area, product and time, which would then be the defined as the dimensions of the report.
OLAP technology enables slicing and dicing of the data from the cube which is the breakdown of a body of information into smaller parts or to examine data from different viewpoints so that it could be understood better. Hierarchies are the different levels of data relationships defined within the dimensions of a cube. By storing data using OLAP cubes, resulting data information is pre-calculated and ready-to-use. The instantaneous use of OLAP eliminates the long data queries and pending requests of a conventional data warehousing environment.
An operational data store (ODS) is a central database that provides a snapshot of the latest data from multiple transactional systems for operational reporting. It enables organizations to combine data in its original format from various sources into a single destination to make it available for business reporting. An ODS contains up-to-date information integrated from operational sources, and supports business intelligence (BI) tools that aid in tactical decision-making.
Business Intelligence solutions are based on a data warehouse, modeled according to specific business processes and challenges that clients wish to overcome, and the goals they intend to achieve. Thanks to the expertise of Skydata we can build custom BI solutions for your business that caters for all its reporting needs, enabling your business to grow with informed decision making and improved efficiency within its sector.
We have over 30 years experience in SQL and business intelligence systems development in our team at Skydata, with hundreds of successfully completed projects from small startups to large corporate businesses with international presence.
Delivering intelligent data solutions with expertise and precision, SkyData empowers your business to unlock insights, drive performance, and achieve sustainable growth.
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