The Practitioner's Guide to Data Quality Improvement

The Practitioner's Guide to Data Quality Improvement
Author: David Loshin
Publisher: Elsevier
Total Pages: 423
Release: 2010-11-22
Genre: Computers
ISBN: 0080920349

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

A Practitioner's Guide to Data Governance
Author: Uma Gupta
Publisher: Emerald Group Publishing
Total Pages: 112
Release: 2020-07-08
Genre: Business & Economics
ISBN: 1789735696

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 (PB)

A Practitioner's Guide to Business Analytics (PB)
Author: Randy Bartlett
Publisher: McGraw Hill Professional
Total Pages: 289
Release: 2013-01-25
Genre: Business & Economics
ISBN: 0071807608

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.

Handbook of Data Quality

Handbook of Data Quality
Author: Shazia Sadiq
Publisher: Springer Science & Business Media
Total Pages: 440
Release: 2013-08-13
Genre: Computers
ISBN: 3642362575

The issue of data quality is as old as data itself. However, the proliferation of diverse, large-scale and often publically available data on the Web has increased the risk of poor data quality and misleading data interpretations. On the other hand, data is now exposed at a much more strategic level e.g. through business intelligence systems, increasing manifold the stakes involved for individuals, corporations as well as government agencies. There, the lack of knowledge about data accuracy, currency or completeness can have erroneous and even catastrophic results. With these changes, traditional approaches to data management in general, and data quality control specifically, are challenged. There is an evident need to incorporate data quality considerations into the whole data cycle, encompassing managerial/governance as well as technical aspects. Data quality experts from research and industry agree that a unified framework for data quality management should bring together organizational, architectural and computational approaches. Accordingly, Sadiq structured this handbook in four parts: Part I is on organizational solutions, i.e. the development of data quality objectives for the organization, and the development of strategies to establish roles, processes, policies, and standards required to manage and ensure data quality. Part II, on architectural solutions, covers the technology landscape required to deploy developed data quality management processes, standards and policies. Part III, on computational solutions, presents effective and efficient tools and techniques related to record linkage, lineage and provenance, data uncertainty, and advanced integrity constraints. Finally, Part IV is devoted to case studies of successful data quality initiatives that highlight the various aspects of data quality in action. The individual chapters present both an overview of the respective topic in terms of historical research and/or practice and state of the art, as well as specific techniques, methodologies and frameworks developed by the individual contributors. Researchers and students of computer science, information systems, or business management as well as data professionals and practitioners will benefit most from this handbook by not only focusing on the various sections relevant to their research area or particular practical work, but by also studying chapters that they may initially consider not to be directly relevant to them, as there they will learn about new perspectives and approaches.

The Practitioner's Guide to Graph Data

The Practitioner's Guide to Graph Data
Author: Denise Gosnell
Publisher: "O'Reilly Media, Inc."
Total Pages: 471
Release: 2020-03-20
Genre: Computers
ISBN: 1492044024

Graph data closes the gap between the way humans and computers view the world. While computers rely on static rows and columns of data, people navigate and reason about life through relationships. This practical guide demonstrates how graph data brings these two approaches together. By working with concepts from graph theory, database schema, distributed systems, and data analysis, you’ll arrive at a unique intersection known as graph thinking. Authors Denise Koessler Gosnell and Matthias Broecheler show data engineers, data scientists, and data analysts how to solve complex problems with graph databases. You’ll explore templates for building with graph technology, along with examples that demonstrate how teams think about graph data within an application. Build an example application architecture with relational and graph technologies Use graph technology to build a Customer 360 application, the most popular graph data pattern today Dive into hierarchical data and troubleshoot a new paradigm that comes from working with graph data Find paths in graph data and learn why your trust in different paths motivates and informs your preferences Use collaborative filtering to design a Netflix-inspired recommendation system

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

Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements
Author: Mikel J. Harry
Publisher: John Wiley & Sons
Total Pages: 827
Release: 2011-09-20
Genre: Technology & Engineering
ISBN: 1118210212

This hands-on book presents a complete understanding of Six Sigma and Lean Six Sigma through data analysis and statistical concepts In today's business world, Six Sigma, or Lean Six Sigma, is a crucial tool utilized by companies to improve customer satisfaction, increase profitability, and enhance productivity. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements provides a balanced approach to quantitative and qualitative statistics using Six Sigma and Lean Six Sigma methodologies. Emphasizing applications and the implementation of data analyses as they relate to this strategy for business management, this book introduces readers to the concepts and techniques for solving problems and improving managerial processes using Six Sigma and Lean Six Sigma. Written by knowledgeable professionals working in the field today, the book offers thorough coverage of the statistical topics related to effective Six Sigma and Lean Six Sigma 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 test their understanding of the presented material, as the real data sets, which are incorporated into the treatment of each topic, can be easily worked with using Microsoft Office Excel, Minitab, MindPro, or Oracle's Crystal Ball software packages. Examples of successful, complete Six Sigma and Lean Six Sigma projects are supplied in many chapters along with extensive exercises that range in level of complexity. The book is accompanied by an extensive FTP site that features manuals for working with the discussed software packages along with additional exercises and data sets. In addition, numerous screenshots and figures guide readers through the functional and visual methods of learning Six Sigma and Lean Six Sigma. Practitioner's Guide to Statistics and Lean Six Sigma for Process Improvements is an excellent book for courses on Six Sigma and statistical quality control at the upper-undergraduate and graduate levels. It is also a valuable reference for professionals in the fields of engineering, business, physics, management, and finance.

The Improvement Guide

The Improvement Guide
Author: Gerald J. Langley
Publisher: John Wiley & Sons
Total Pages: 514
Release: 2009-06-03
Genre: Business & Economics
ISBN: 0470549033

This new edition of this bestselling guide offers an integrated approach to process improvement that delivers quick and substantial results in quality and productivity in diverse settings. The authors explore their Model for Improvement that worked with international improvement efforts at multinational companies as well as in different industries such as healthcare and public agencies. This edition includes new information that shows how to accelerate improvement by spreading changes across multiple sites. The book presents a practical tool kit of ideas, examples, and applications.

Organization Development

Organization Development
Author: Mee-Yan Cheung-Judge
Publisher: Kogan Page Publishers
Total Pages: 448
Release: 2015-05-03
Genre: Business & Economics
ISBN: 0749470186

Written by two of the leading experts in the field, Organization Development is a guide to the basic principles of effective organization development. A compendium of theories, practices, diagnostics techniques and figures, it provides practical advice for identifying an organization's needs and determining the most appropriate course of action to maximize organizational capability. It provides an overview of the history and theory of OD and addresses the various phases, the role of the practitioner, aspects of power and politics, and the human resources context. The book also discusses organizational design, culture change, managing transformational change, and developing effective leadership. Bridging the gap between theory and practice, this fully updated new edition of Organization Development now includes coverage of complexity and chaos theory, new case studies describing OD practices and attitudes in countries outside of the US and UK, and new chapters on change and culture and on employee engagement and wellbeing. The authors also have added emphasis on the collaborations between OD and HR functions. It provides a wealth of helpful advice for OD practitioners, HR professionals and those with an interest in helping develop their organization.

Building Software

Building Software
Author: Nikhilesh Krishnamurthy
Publisher: CRC Press
Total Pages: 379
Release: 2007-09-07
Genre: Business & Economics
ISBN: 1420013513

Providing a framework to guide software professionals through the many aspects of development, Building Software: A Practitioner's Guide shows how to master systems development and manage many of the soft and technical skills that are crucial to the successful delivery of systems and software. It encourages tapping into a wealth of cross-domain and legacy solutions to overcome common problems, such as confusion about requirements and issues of quality, schedule, communication, and people management. The book offers insight into the inner workings of software reliability along with sound advice on ensuring that it meets customer and organizational needs.