Data warehousing tool market space is currently filled with many tools each having its unique pros and cons making it very difficult for enterprises to make the choice of tool. The breadth of data warehousing has also moved beyond data integration, ETL, and presently encompasses data integration, data quality, master data management, metadata management, reference data management, big data Management. Enterprises expect the data warehouse tool providers to meet the requirements of all of these functionalities. This paper provides a point model approach using key performance indicators (KPI), Weightage and Scores to help choose the right data warehousing tool for enterprises.