Executing Data Quality Projects
  • Author : Danette McGilvray
  • Release Date : 27 May 2021
  • Publisher : Academic Press
  • Genre : Computers
  • Pages : 376
  • ISBN 13 : 9780128180167

Download Or Read Executing Data Quality Projects eBook PDF

Book excerpt: Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today’s data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization’s standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach Contains real examples from around the world, gleaned from the author’s consulting practice and from those who implemented based on her training courses and the earlier edition of the book Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online

Executing Data Quality Projects

Executing Data Quality Projects

Author : Danette McGilvray
Publisher : Academic Press
Genre : Computers
Get Book

Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged ...

Executing Data Quality Projects

Executing Data Quality Projects

Author : Danette McGilvray
Publisher : Elsevier
Genre : Computers
Get Book

Information is currency. Recent studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. In this important and timely new book, Danette McGilvray presents ...

Executing Data Quality Projects

Executing Data Quality Projects

Author : Danette McGilvray
Publisher : Morgan Kaufmann
Genre : Business & Economics
Get Book

Introduces a systematic, effective approach to enhancing and creating data and information quality that integrates a conceptual framework with essential tools, techniques, and instructions, accompanied by helpful templates, real-world examples, and advice, as well as highlighted definitions, key concepts, checkpoints, warnings, communication activities, and best practices. Original. (Intermediate)...

The Practitioner s Guide to Data Quality Improvement

The Practitioner s Guide to Data Quality Improvement

Author : David Loshin
Publisher : Elsevier
Genre : Computers
Get Book

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 ...

Measuring Data Quality for Ongoing Improvement

Measuring Data Quality for Ongoing Improvement

Author : Laura Sebastian-Coleman
Publisher : Newnes
Genre : Computers
Get Book

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, ...

Data Stewardship

Data Stewardship

Author : David Plotkin
Publisher : Newnes
Genre : Computers
Get Book

Data stewards in business and IT are the backbone of a successful data governance implementation because they do the work to make a company’s data trusted, dependable, and high quality. Data Stewardship explains everything you need to know to successfully implement the stewardship portion of data governance, including how ...

Data Governance

Data Governance

Author : John Ladley
Publisher : Academic Press
Genre : Computers
Get Book

Managing data continues to grow as a necessity for modern organizations. There are seemingly infinite opportunities for organic growth, reduction of costs, and creation of new products and services. It has become apparent that none of these opportunities can happen smoothly without data governance. The cost of exponential data growth ...

The Decision Model

The Decision Model

Author : Barbara von Halle,Larry Goldberg
Publisher : CRC Press
Genre : Computers
Get Book

In the current fast-paced and constantly changing business environment, it is more important than ever for organizations to be agile, monitor business performance, and meet with increasingly stringent compliance requirements. Written by pioneering consultants and bestselling authors with track records of international success, The Decision Model: A Business Logic Framework ...

A Guide to the Project Management Body of Knowledge  PMBOK   Guide      Seventh Edition and The Standard for Project Management  RUSSIAN

A Guide to the Project Management Body of Knowledge PMBOK Guide Seventh Edition and The Standard for Project Management RUSSIAN

Author : Project Management Institute Project Management Institute
Publisher : Project Management Institute
Genre : Business & Economics
Get Book

PMBOK&® Guide is the go-to resource for project management practitioners. The project management profession has significantly evolved due to emerging technology, new approaches and rapid market changes. Reflecting this evolution, The Standard for Project Management enumerates 12 principles of project management and the PMBOK&® Guide &– Seventh Edition is structured around eight ...

Journey to Data Quality

Journey to Data Quality

Author : Yang W. Lee,Leo L. Pipino,Richard Y. Wang,James D. Funk
Publisher : Mit Press
Genre : Computers
Get Book

A guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality management program, based on rigorous research and drawing on real-world examples. All organizations today confront data quality problems, both systemic and structural. Neither ad hoc approaches nor fixes at the ...

MASTER DATA MANAGEMENT AND DATA GOVERNANCE  2 E

MASTER DATA MANAGEMENT AND DATA GOVERNANCE 2 E

Author : Alex Berson,Larry Dubov
Publisher : McGraw Hill Professional
Genre : Computers
Get Book

The latest techniques for building a customer-focused enterprise environment "The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, ...

The Self Service Data Roadmap

The Self Service Data Roadmap

Author : Sandeep Uttamchandani
Publisher : "O'Reilly Media, Inc."
Genre : Computers
Get Book

Data-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data. ...

Data Quality

Data Quality

Author : Rupa Mahanti
Publisher : Quality Press
Genre : Business & Economics
Get Book

“This is not the kind of book that you’ll read one time and be done with. So scan it quickly the first time through to get an idea of its breadth. Then dig in on one topic of special importance to your work. Finally, use it as a reference ...

Python for Data Analysis

Python for Data Analysis

Author : Wes McKinney
Publisher : "O'Reilly Media, Inc."
Genre : Computers
Get Book

Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, ...

Designing Data Intensive Applications

Designing Data Intensive Applications

Author : Martin Kleppmann
Publisher : "O'Reilly Media, Inc."
Genre : Uncategorized
Get Book

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are ...