Matrix for Obtaining a Data Warehouse Readiness Rating

Cell Scoring Rules: Obtain the average score for all statements for each of the measurement points People Readiness Information Technology Readiness Business Readiness Row Scoring Rules
Business Imperative Each individual involved in the DW initiative clearly understands the need for the initiative and is willing to support it. IT understands the business' need for a DW and is willing to support it. The business area has a clearly understood need for the proposed DW. Sum the cell scores for this row and multiply by 2.33
Executive Sponsorship The sponsor understands his/her role in the DW initiative and is willing to exercise it fully. The sponsor understands the IT requirements for a DW, understnads which ones are missing, and supports the means to obtain them. The business area sponsors the DW initiative, leads the effort, and takes ownership for the resulting DW. Sum the cell scores for this row and multiply by 2.33
DW Development Method Each individual who participates in the DW initiative understands his/her role in relation to it. IT has a DW development method that accounts for all the necessary components of a DW initiative, and is willing to use it. The business area has a clear role in the development method and agrees to exercise that role. Sum the cell scores for this row and multiply by 1.33
Business Process Orientation Each individual understands the organization's business in terms of its business processes. IT focues its efforts to support the business based on the business processes. The business operates based on the business processes. Sum the cell scores for this row and multiply by 0.67
Column Scoring Rules Sum the cell scores for this column and multiply by 1.5 Sum the cell scores for this column and multiply by 1.5 Sum the cell scores for this column and multiply by 2.0 Readiness Score Calculation: Sum the row scores and column scores and average them

Taken from Data Warehousing Fundamentals: A Roadmap to Success, Parts I & II Copyright 1998 by The Data Warehouse Institute.