March 2014
Intermediate to advanced
304 pages
6h 6m
English
book
Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality
by Rajesh Jugulum
Content preview from Competing with High Quality Data: Concepts, Tools, and Techniques for Building a Successful Approach to Data Quality
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
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
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.