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

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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
  1. L denotes Latin square design
  2. a = number of experimental runs
  3. b = number of levels of each factor
  4. 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 ...

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