Index
A
- Abnormal conditions:
- direction of
- “good” vs. “bad”
- variable set for detecting
- Accuracy (DQ dimension)
- Adjoint of a square matrix
- AlliedSignal
- Analysis(-es):
- association
- correlation
- current state
- DQ capabilities gap
- drill-down
- measurement system
- multiple regression
- network
- Pareto
- principal component
- regression
- return on investment
- root-cause
- signal-to-noise ratios
- Analysis of variance (ANOVA)
- in data tracing
- defined
- elements of
- nested
- two-way
- Analytical insights, in DQPC
- Analytics ascendency model (Gartner)
- Analytics management. See also Data analytics
- Analytics vision
- ANOVA, see Analysis of variance
- Artificial neural networks (ANNs)
- Assessment(s):
- of critical data elements
- of current state
- in DAIC Assess phase
- of data quality
- skilled resources for
- Assess phase (DAIC approach)
- Assignable causes. See also Special cause variation
- Association analysis:
- defined
- for discrete CDEs
- in transaction pattern recognition
- Attribute control charts
- Attribute data
- Attribute profiling
- Average chart
- Average-range (-R) charts
- Average-standard deviation (-S) chart
B
- Backpropagation algorithm, standard
- Backpropagation (feed-forward) method
- Bad data, see Poor-quality data
- Bank of America
- Basel II case study
- CDE rationalization matrix
- correlation and regression analysis
Get Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.