Data warehousing capabilities and solutions from Icon

Accelerate Deployment, Lower your costs

Data warehousing allows a company or organization to create a consolidated view of its enterprise data, optimized for reporting and analysis. Basically, a data warehouse is an aggregated, sometimes summarized copy of transaction and non-transaction data specifically structured for dynamic queries and fast, efficient business analytics.

In data warehousing, data and information are extracted from heterogeneous production data sources as they are generated, or in periodic stages, making it simpler and more efficient to run queries over data that originally came from different sources. Data is turned into high-quality information to meet all enterprise reporting requirements for all levels of users.

We offer comprehensive solutions for developing, managing, and optimizing a flexible data architecture that efficiently supports key enterprise information initiatives. We use powerful and comprehensive set of tools and techniques designed to dramatically simplify data integration, including the creation, maintenance, and expansion of data warehouses, data marts, and operational data stores. Our team is experienced in creating flexible, end-to-end ETL process creation involving heterogeneous data structures across disparate computing platforms.

We use our decade of solution development experience in order to place affordable, yet highly scalable, solutions for customer implementations, with Scalability and Agility in mind.

Service Offerings:

Data mart design and implementation:

  • Multidimensional modelling
  • Conformed dimensions and the constraints deriving from previous implementations.


Maintenance and evolution:

  • Performance optimization – periodically carried out due to user requirements that change according to the problems and the opportunities the managers run into.
  • Data Mart evolution concerns keeping the Data Mart schema up-to-date with respect to the business domain and the business requirement changes.