XYZ is one of the leading Indian Banks and has a vendor base of 1000 vendors performing its business

activities across 12 categories. This bank hires ABC-one of the Big Four firms to perform Third

Party vendor review for 82 vendors. ABC has shortlisted these vendors after thorough and detailed

discussion with Business Heads. The shortlisted criteria also involved parameters like categories catered

by Vendors, Business Volume/Size dealt by Vendor and previous ratings given to Vendors. ABC and XYZ

decided upon the rating and score to be awarded to each vendor depending on the observations during

the review. ABC agreed to give 2 weeks’ time to vendor to close the highlighted observations so that

they can improvise on their rating and score. ABC represents this data category vise.

Data and Calculations involved:

Category Count of Vendor Name

Review Category Risk Score

Category Risk Score- After 2 weeks window

Service category score

X1 3 54 20 2.5

X2 3 42 35 1.25

X3 20 63 46 2.5

X4 4 75 29 2.25

X5 9 41 25 2.5

X6 10 87 42 2.25

X7 6 53 12 2.25

X8 1 78 40 2.4

X9 8 29 25 2.4

X10 1 26 4 2.4

X11 3 56 15 1.75

X12 13 82 57 2

Total 82

Observations during the review are categorized in High, Medium and Low.

Vendor Score= 9*High + 4*Medium + Low

Category Risk Score= Sum of vendors score under the category

Sum of vendors under that category

Service category scores are category specific and does not change during the review.

ABC represented the data in the below format in risk quadrant but now they want to represent this data

in a different way. Please help ABC in this and include Review Category Risk Score and Category Risk

Score- After 2 weeks window in this representation.