Integrating, organizing, and optimizing data to drive data-driven decisions
Combines diverse data sources, creating a unified source of truth.
Structured and accessible data supports faster, data-driven insights.
ETL processes filter, clean, and validate data, ensuring high-quality information.
for business intelligence succesfull implementation
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A well-designed Data Warehouse (DWH) is essential for businesses aiming to harness the full potential of their data. By integrating diverse data sources into one reliable, organized platform, a DWH enables efficient analytics, supports fast and informed decision-making, and provides a foundation for data-driven strategies.
At Cobit Solutions, our DWH services leverage advanced tools like Power BI to streamline data access, allowing teams to explore, visualize, and act on insights with confidence. With a robust DWH, your organization can improve operational efficiency, make proactive business decisions, and gain a competitive edge through the power of integrated data.
✅ A quick start and first result in just two weeks
✅ A skilled team of 25 professionals
✅ 6 years of industry experience
✅ Over 70 satisfied clients in 5 countries
✅ We are -25% less expensive than W2 payroll or contractors
✅ From strategy to dashboards: we close everything in-house
We create an end-to-end process to standardize data from diverse sources for storage and analysis, using ETL/ELT, change data capture, and data replication.
We set up and configure policies, technologies, and practices that help continuously monitor data quality and keep it satisfactory.
Our team develops data warehouses, data marts, lakes, and operational stores to centralize business data for analysis, structuring it for easy access and retrieval.
We build OLAP cubes to store data in a multidimensional format, enabling fast analysis and allowing non-technical users to navigate and perform self-service data analysis easily.
We establish a robust data governance framework to help you ensure the availability, usability, integrity, and security of corporate information.
We set up practices for metadata management to effectively utilize data resources and enhance data search and discovery.
Discovery & business requirements definition
Data warehouse conceptualization
Technology selection
Data modeling & DWH environment design
Development
Testing & launch