Business Intelligence

    • Dataware House

      A data warehouse is essential to every Business Intelligence initiative. Data warehouse serves as a repository of the transactional data flowing into your organization. We have set up data warehouses that have helped clients track and analyze their organizational data to better serve their business needs. In addition, we have performed data imports from outside vendors and distributors, migrated data from older systems, cleaned and transformed data to make it easier for analysis.

    • We can use our experience and skills to help you take a closer, more in-depth look at your organization’s strengths and weaknesses. This will help you add value for your constituents or customers and bring down your cost of operations.

      We have designed and implemented five layer transformation model and architecture. These layers extract, audit, filter, integrate, clean, transform, and load data into the data warehouse. The uniqueness and beauty of the model is in the middle three layers that logically separate the data file into records, and records into fields for data validation, integration, cleansing, and transformation. Another distinct feature of the model is the rule support at three distinct levels for data validation, integration, cleansing, and summarization. We have successfuly applied this architecture on 3 Terabytes data warehouse to reduce the data load window from 12 hours to 1 hour.


      OLAP sits on top of the data warehouse and facilitates performing drill down multidimensional analysis on the data. Our clients have used OLAP to drill down into their membership data and analyze numbers by combination of region, membership type and memberships count. They have used this knowledge to model and forecast trends. This process helps them determine where their focus is most needed.
    • Clients have used OLAP to answer complicated questions relating to why and what if. OLAP will help your organization report and measure business performance; discover relationships between data to predict future behavior and model different business scenarios.
    • OLAP can help guide the future of your organization.