A graphical framework to receive a two
array (the scatter plot),
which is principally used to establish correlation
as part of a multi-variate analysis.
The points on the matrix can be
cross-referenced to the x-axis (horizontal) and y-axis (vertical) of
The points in the matrix are either entire facilities or individual assets within facilities.
Purpose of the Matrix
The primary purpose of a matrix is summarized below:
The matrix serves as a decision-support tool.
- To draw
correlations between data sets.
- To identify
patterns (trends, etc) in the data.
classify/organize data into groups for analytical and classification purposes.
- To benchmark
individual assets or buildings against Key Performance Indicators (KPIs) and other measures and thresholds.
- To prioritize and make resource allocation decisions.
Elements of the Matrix
A matrix is comprised of the following components:
- The horizontal axis ("x)
- The vertical axis ("y")
- The numerical scales along each axis (ie., indexes)
- The quadrants (usually four)
- The points (the scatter plot)
- The resultant pattern (the copula)
- The regression/trends applied to the pattern.
Types of Matrices
Within the field of asset
management, matrices provide frameworks for certain types of
useful analytics, including:
example, the condition of a building represented on the horizontal axis
the age of buildings represented on the vertical axis.
Analysis of the Matrix
Listed below are the five patterns that may potentially be discerned in the scatter plot data:
Listed below are some of the concepts to be used in analysis of a matrix:
Fig. A matrix organized into four quadrants.
Fig. A matrix used
to generate a scatter plot of data points mapped to the vertical ("y")
A matrix represented as a 3D animation to reveal the results of
strategic reinvestment at certain
buildings/facilities and their resultant repositioning on the
Fig. A sample condition-age matrix for a large portfolio of facilities from different departments.