The Practitioner s Guide to Data Quality Improvement Book

The Practitioner s Guide to Data Quality Improvement


  • Author : David Loshin
  • Publisher : Elsevier
  • Release Date : 2010-11-22
  • Genre: Computers
  • Pages : 432
  • ISBN 10 : 0080920349
  • Total Read : 89
  • File Size : 6,7 Mb

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The Practitioner s Guide to Data Quality Improvement Summary:

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

A Practitioner s Guide to Data Governance Book

A Practitioner s Guide to Data Governance


  • Author : Uma Gupta
  • Publisher : Emerald Group Publishing
  • Release Date : 2020-07-08
  • Genre: Business & Economics
  • Pages : 248
  • ISBN 10 : 9781789735697
  • Total Read : 71
  • File Size : 19,7 Mb

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A Practitioner s Guide to Data Governance Summary:

Data governance looks simple on paper, but in reality it is a complex issue facing organizations. In this practical guide, data experts Uma Gupta and San Cannon look to demystify data governance through pragmatic advice based on real-world experience and cutting-edge academic research.

A PRACTITIONER S GUIDE TO BUSINESS ANALYTICS  Using Data Analysis Tools to Improve Your Organization   s Decision Making and Strategy Book

A PRACTITIONER S GUIDE TO BUSINESS ANALYTICS Using Data Analysis Tools to Improve Your Organization s Decision Making and Strategy


  • Author : Randy Bartlett
  • Publisher : McGraw Hill Professional
  • Release Date : 2013-01-25
  • Genre: Business & Economics
  • Pages : 256
  • ISBN 10 : 9780071807609
  • Total Read : 75
  • File Size : 13,8 Mb

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A PRACTITIONER S GUIDE TO BUSINESS ANALYTICS Using Data Analysis Tools to Improve Your Organization s Decision Making and Strategy Summary:

Gain the competitive edge with the smart use of business analytics In today’s volatile business environment, the strategic use of business analytics is more important than ever. A Practitioners Guide to Business Analytics helps you get the organizational commitment you need to get business analytics up and running in your company. It provides solutions for meeting the strategic challenges of applying analytics, such as: Integrating analytics into decision making, corporate culture, and business strategy Leading and organizing analytics within the corporation Applying statistical qualifications, statistical diagnostics, and statistical review Providing effective building blocks to support analytics—statistical software, data collection, and data management Randy Bartlett, Ph.D., is Chief Statistical Officer of the consulting company Blue Sigma Analytics. He currently works with Infosys, where he has helped build their new Business Analytics practice.

Outlines and Highlights for the Practitioners Guide to Data Quality Improvement by David Loshin Book

Outlines and Highlights for the Practitioners Guide to Data Quality Improvement by David Loshin


  • Author : Cram101 Textbook Reviews
  • Publisher : Academic Internet Pub Incorporated
  • Release Date : 2011-07-01
  • Genre: Education
  • Pages : 182
  • ISBN 10 : 1618303538
  • Total Read : 60
  • File Size : 18,6 Mb

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Outlines and Highlights for the Practitioners Guide to Data Quality Improvement by David Loshin Summary:

Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780123737175 .

Studyguide for the Practitioners Guide to Data Quality Improvement by Loshin  David Book

Studyguide for the Practitioners Guide to Data Quality Improvement by Loshin David


  • Author : Cram101 Textbook Reviews
  • Publisher : Cram101
  • Release Date : 2013-05
  • Genre: Uncategoriezed
  • Pages : 168
  • ISBN 10 : 1490214488
  • Total Read : 73
  • File Size : 11,8 Mb

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Studyguide for the Practitioners Guide to Data Quality Improvement by Loshin David Summary:

Never HIGHLIGHT a Book Again Virtually all testable terms, concepts, persons, places, and events are included. Cram101 Textbook Outlines gives all of the outlines, highlights, notes for your textbook with optional online practice tests. Only Cram101 Outlines are Textbook Specific. Cram101 is NOT the Textbook. Accompanys: 9780521673761

Practitioner s Guide to Statistics and Lean Six Sigma for Process Improvements Book
Score: 5
From 1 Ratings

Practitioner s Guide to Statistics and Lean Six Sigma for Process Improvements


  • Author : Mikel J. Harry
  • Publisher : John Wiley & Sons
  • Release Date : 2011-09-20
  • Genre: Technology & Engineering
  • Pages : 832
  • ISBN 10 : 9781118210215
  • Total Read : 70
  • File Size : 16,6 Mb

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Practitioner s Guide to Statistics and Lean Six Sigma for Process Improvements Summary:

This hands-on book presents a complete understanding of SixSigma and Lean Six Sigma through data analysis and statisticalconcepts In today's business world, Six Sigma, or Lean Six Sigma, is acrucial tool utilized by companies to improve customersatisfaction, increase profitability, and enhance productivity.Practitioner's Guide to Statistics and Lean Six Sigma forProcess Improvements provides a balanced approach toquantitative and qualitative statistics using Six Sigma and LeanSix Sigma methodologies. Emphasizing applications and the implementation of data analysesas they relate to this strategy for business management, this bookintroduces readers to the concepts and techniques for solvingproblems and improving managerial processes using Six Sigma andLean Six Sigma. Written by knowledgeable professionals working inthe field today, the book offers thorough coverage of thestatistical topics related to effective Six Sigma and Lean SixSigma practices, including: Discrete random variables and continuous random variables Sampling distributions Estimation and hypothesis tests Chi-square tests Analysis of variance Linear and multiple regression Measurement analysis Survey methods and sampling techniques The authors provide numerous opportunities for readers to testtheir understanding of the presented material, as the real datasets, which are incorporated into the treatment of each topic, canbe easily worked with using Microsoft Office Excel, Minitab,MindPro, or Oracle's Crystal Ball software packages. Examples ofsuccessful, complete Six Sigma and Lean Six Sigma projects aresupplied in many chapters along with extensive exercises that rangein level of complexity. The book is accompanied by an extensive FTPsite that features manuals for working with the discussed softwarepackages along with additional exercises and data sets. Inaddition, numerous screenshots and figures guide readers throughthe functional and visual methods of learning Six Sigma and LeanSix Sigma. Practitioner

Measuring Data Quality for Ongoing Improvement Book
Score: 5
From 1 Ratings

Measuring Data Quality for Ongoing Improvement


  • Author : Laura Sebastian-Coleman
  • Publisher : Newnes
  • Release Date : 2012-12-31
  • Genre: Computers
  • Pages : 376
  • ISBN 10 : 9780123977540
  • Total Read : 78
  • File Size : 11,5 Mb

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Measuring Data Quality for Ongoing Improvement Summary:

The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges Enables discussions between business and IT with a non-technical vocabulary for data quality measurement Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation

Improving data quality for the CAADP biennial review  A partnership initiative piloted in five countries Book

Improving data quality for the CAADP biennial review A partnership initiative piloted in five countries


  • Author : Benin, Samuel
  • Publisher : Intl Food Policy Res Inst
  • Release Date : 2020-05-07
  • Genre: Political Science
  • Pages : 54
  • ISBN 10 : 978186723xxxx
  • Total Read : 72
  • File Size : 19,5 Mb

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Improving data quality for the CAADP biennial review A partnership initiative piloted in five countries Summary:

This paper presents results of a data partnership framework for strengthening evidence-based planning and implementation that was initiated in 2019 in five selected African countries (Kenya, Malawi, Mozambique, Senegal, and Togo) during the second round of the CAADP biennial review (BR) process. It analyzes the effect of the activities conducted on the data reporting rate and the quality of data reported in the five pilot countries, compared with what was achieved in like-pilot countries. The like-pilot countries are non-pilot countries that have characteristics like the pilot countries at the baseline which affect selection into the pilot or the data reporting and quality outcomes. Different methods (standard deviations, propensity score matching, and two-stage weighted regression) are used to identify the like-pilot countries, and a difference-in-difference method is used to estimate the effect of the pilot activities on the outcomes. The capacity-strengthening activities focused on working with the country Biennial Review (BR) team to: assess the inaugural or 2018 BR process and identify the data gaps; constitute and train members of data clusters to compile and check the data for the 2020 BR; and then validate and submit the data. The findings show that the activities helped the pilot countries to improve their performance in the data reporting rate and the quality of data reported in the 2020 BR. The largest improvement is observed in Togo and Senegal, followed by Kenya and Malawi, and then Mozambique. The average increase in the data reporting rate between 2018 and 2020 BRs for the pilot countries is greater than the average progress made in the like-pilot countries by about 6 to 9 % pts. This derives mostly from improvements in the data reporting rate for the indicators under theme 3 on ending hunger. Regarding the quality of data reported (measured as the percent of the data reported that have issues) too, the pilot countries on average performed better than