Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality

Index of Terms and Symbols

α	Statistical level of significance.
ANOVA	Analysis of variance.
β (beta)	Estimate of the slope.
Basel II	Basel II is the second of the Basel Accords, which are recommendations on banking laws and regulations.
BIDV	Business impacting decision variable.
C	correlation matrix
C–1	Inverse of correlation matrix.
CDE	Critical data element.
COPDQ	Cost of poor data quality
DAIC	Define, Assess, Improve, and Control.
dB units	Decibel units.
DFSS	Design for Six Sigma.
DMADV	Define, Measure, Analyze, Design, and Verify.
DMAIC	Define, Measure, Analyze, Improve, and Control.
DQ	Data quality.
DQ score	A composite data quality score based on several dimensions. It can be calculated at the CDE level, at the business function level, or at the enterprise level.
DQOM	Data quality operating model.
DQPC	Data quality practices center.
D2	Mahalanobis distance
FMEA	Failure mode effect analysis.
IR	Issues resolution.
La(bc)	representation of OA
L denotes Latin square design a = number of experimental runs b = number of levels of each factor c = number of columns in the array
K	Number of variables.
OA	Orthogonal array.
M	Input signal.
MD	Mahalanobis distance.
MS	Mahalanobis space or reference group.
MTS	Mahalanobis-Taguchi Strategy.
ODS	Operational data source.
PQ	Process quality.
QLF	Quality loss function.
r	Sum of squares due to the input signal.
RWA	Risk-weighted assets.
Sβ	Sum of squares due ...