Executing Data Quality Projects

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Executing Data Quality Projects

Author : Danette McGilvray
Publisher : Academic Press
ISBN 13 : 0128180161
Total Pages : 376 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Executing Data Quality Projects by : Danette McGilvray

Download or read book Executing Data Quality Projects written by Danette McGilvray and published by Academic Press. This book was released on 2021-05-27 with total page 376 pages. Available in PDF, EPUB and Kindle. 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

Author : Danette McGilvray
Publisher : Elsevier
ISBN 13 : 0080558399
Total Pages : 352 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Executing Data Quality Projects by : Danette McGilvray

Download or read book Executing Data Quality Projects written by Danette McGilvray and published by Elsevier. This book was released on 2008-09-01 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 her “Ten Steps approach to information quality, a proven method for both understanding and creating information quality in the enterprise. Her trademarked approach—in which she has trained Fortune 500 clients and hundreds of workshop attendees—applies to all types of data and to all types of organizations. * Includes numerous templates, detailed examples, and practical advice for executing every step of the “Ten Steps approach. * 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 planning and information-gathering templates featured in the text, quick summaries of key ideas from the Ten Step methodology, and other tools and information available online.

The Practitioner's Guide to Data Quality Improvement

Author : David Loshin
Publisher : Elsevier
ISBN 13 : 9780080920344
Total Pages : 432 pages
Book Rating : 4.9/5 (23 download)

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Book Synopsis The Practitioner's Guide to Data Quality Improvement by : David Loshin

Download or read book The Practitioner's Guide to Data Quality Improvement written by David Loshin and published by Elsevier. This book was released on 2010-11-22 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Measuring Data Quality for Ongoing Improvement

Author : Laura Sebastian-Coleman
Publisher : Newnes
ISBN 13 : 0123977541
Total Pages : 376 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Measuring Data Quality for Ongoing Improvement by : Laura Sebastian-Coleman

Download or read book Measuring Data Quality for Ongoing Improvement written by Laura Sebastian-Coleman and published by Newnes. This book was released on 2012-12-31 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Data Quality

Author : Jack E. Olson
Publisher : Elsevier
ISBN 13 : 0080503691
Total Pages : 300 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Data Quality by : Jack E. Olson

Download or read book Data Quality written by Jack E. Olson and published by Elsevier. This book was released on 2003-01-09 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality. * Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes. * Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy. * Is written by one of the original developers of data profiling technology. * Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.

Data Quality Assessment

Author : Arkady Maydanchik
Publisher :
ISBN 13 : 9780977140022
Total Pages : 0 pages
Book Rating : 4.1/5 (4 download)

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Book Synopsis Data Quality Assessment by : Arkady Maydanchik

Download or read book Data Quality Assessment written by Arkady Maydanchik and published by . This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine a group of prehistoric hunters armed with stone-tipped spears. Their primitive weapons made hunting large animals, such as mammoths, dangerous work. Over time, however, a new breed of hunters developed. They would stretch the skin of a previously killed mammoth on the wall and throw their spears, while observing which spear, thrown from which angle and distance, penetrated the skin the best. The data gathered helped them make better spears and develop better hunting strategies. Quality data is the key to any advancement, whether it is from the Stone Age to the Bronze Age. Or from the Information Age to whatever Age comes next. The success of corporations and government institutions largely depends on the efficiency with which they can collect, organise, and utilise data about products, customers, competitors, and employees. Fortunately, improving your data quality does not have to be such a mammoth task. This book is a must read for anyone who needs to understand, correct, or prevent data quality issues in their organisation. Skipping theory and focusing purely on what is practical and what works, this text contains a proven approach to identifying, warehousing, and analysing data errors. Master techniques in data profiling and gathering metadata, designing data quality rules, organising rule and error catalogues, and constructing the dimensional data quality scorecard. David Wells, Director of Education of the Data Warehousing Institute, says "This is one of those books that marks a milestone in the evolution of a discipline. Arkady's insights and techniques fuel the transition of data quality management from art to science -- from crafting to engineering. From deep experience, with thoughtful structure, and with engaging style Arkady brings the discipline of data quality to practitioners."

Telling Your Data Story

Author : Scott Taylor
Publisher :
ISBN 13 : 9781634628952
Total Pages : 196 pages
Book Rating : 4.6/5 (289 download)

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Book Synopsis Telling Your Data Story by : Scott Taylor

Download or read book Telling Your Data Story written by Scott Taylor and published by . This book was released on 2020-11-15 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Data Whisperer's practical guide to explaining and understanding the strategic value of data management. The need for data management is everywhere across your company. The value of every digitally transformative customer-facing initiative, every data science and analytics-based project, every as-a-service offering, every foray into e-commerce, and every enterprise software implementation is inextricably linked to the successful output of data management efforts. Although it is a simple function of garbage in garbage out, that slogan rarely drives any sustainable executive action. We need to tell a better data story. Data Storytelling is probably the hottest non-technical trend in the technology-related space. But it does not directly support data management because it is focused on analytics or telling stories with data. So, it is time to expand the realm of Data Storytelling to recognize the role of data management by telling stories about data. Learn how to secure stakeholder involvement and executive commitment to fund and support data management as a systematic, consistent, fundamental part of your business. This book is for: Data management leaders trying to explain your value to C-Level and business stakeholders. As a practitioner, you may already know how to fix your data, but your business leaders ignore your advice. When you explain data management to the business, they may nod "yes" on the outside, but they nod off on the inside. Business stakeholders trying to comprehend why data management is important. Many business people may be frightened, threatened, intimidated, or at the very least confused and bewildered by the techno-babble often associated with data-related conversations. If you want to know more about why data management needs to be a strategic imperative in your organization, you'll learn it here in simple terms. Data scientists looking to understand better how you connect to "The Business." A recurring struggle I hear from data scientists is the need to get "closer to business." If you are a data scientist, then you need to understand your company's data story. The more you can align your work to the core value your company delivers, the more successful you will be. This book will help you discover the essence of why data brings value to your business. Anyone interested in understanding the business value of data management. I offer simple explanations about why data management is essential for your organization. Without going deep into technical concepts and processes, I focus on the business-related outputs. I share ways you can think about what foundational data does. Its importance is vital for the future of your enterprise. Since this is a book about telling data stories, I share it through stories divided into five sections: My data story. Why I know what I know and why you should listen to me. Everyone's data story. A collection of classic, foundational data situations relevant to all enterprises. Framing your data story. A set of simple frameworks about data value. Selling your data story. Tips on creating a compelling narrative. Building your data story. Why you must align with the strategic intentions of your enterprise.

Data Driven

Author : Thomas C. Redman
Publisher : Harvard Business Press
ISBN 13 : 1422163644
Total Pages : 257 pages
Book Rating : 4.4/5 (221 download)

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Book Synopsis Data Driven by : Thomas C. Redman

Download or read book Data Driven written by Thomas C. Redman and published by Harvard Business Press. This book was released on 2008-09-22 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.

Writing Effective Business Rules

Author : Graham Witt
Publisher : Elsevier
ISBN 13 : 0123850517
Total Pages : 361 pages
Book Rating : 4.1/5 (238 download)

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Book Synopsis Writing Effective Business Rules by : Graham Witt

Download or read book Writing Effective Business Rules written by Graham Witt and published by Elsevier. This book was released on 2012-01-27 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: The world of rules -- How rules work -- A brief history of rules -- Types of rules -- The building blocks of natural language rule statements -- Fact Models -- How to write quality natural language rule statements -- An end-to-end rule management methodology -- Rule statement templates and subtemplates.

Data Management at Scale

Author : Piethein Strengholt
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492054739
Total Pages : 404 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Data Management at Scale by : Piethein Strengholt

Download or read book Data Management at Scale written by Piethein Strengholt and published by "O'Reilly Media, Inc.". This book was released on 2020-07-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you’ll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata

Development Research in Practice

Author : Kristoffer Bjärkefur
Publisher : World Bank Publications
ISBN 13 : 1464816956
Total Pages : 388 pages
Book Rating : 4.4/5 (648 download)

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Book Synopsis Development Research in Practice by : Kristoffer Bjärkefur

Download or read book Development Research in Practice written by Kristoffer Bjärkefur and published by World Bank Publications. This book was released on 2021-07-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University

The Project Management Question and Answer Book

Author : Michael W. Newell
Publisher : Amacom Books
ISBN 13 : 9780814471647
Total Pages : 276 pages
Book Rating : 4.4/5 (716 download)

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Book Synopsis The Project Management Question and Answer Book by : Michael W. Newell

Download or read book The Project Management Question and Answer Book written by Michael W. Newell and published by Amacom Books. This book was released on 2004 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is a project charter? How about a work breakdown structure? Do you know the basic steps behind risk quantification? And why is it important to be acquainted with Goldratt's critical chain theory? The Project Management Question and Answer Book is a one-stop reference that both beginning and experienced project managers will use in countless on-the-job situations. Providing the answers to critical questions, from the simplest to the most advanced, the book is arranged to get you the information you need the moment you need it. You'll find helpful explanations of crucial project management issues, including: * Why PM is useful to you and your organization * How to interact with project stakeholders to maximize productivity * How to establish realistic cost, schedule, and scope baselines * What management techniques can be used to motivate teams * What methods you can use for evaluating project team performance Packed with case studies and examples, The Project Management Question and Answer Book is an indispensable guide covering everything from estimates, quality control, and communications, to time-, risk-, and human resource management. It is a practical, constantly usable resource for understanding fundamental project management issues and implementing workable solutions.

Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution

Author : Bolat, Hür Bersam
Publisher : IGI Global
ISBN 13 : 1522578668
Total Pages : 424 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution by : Bolat, Hür Bersam

Download or read book Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution written by Bolat, Hür Bersam and published by IGI Global. This book was released on 2019-03-15 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Communication between man and machine is vital to completing projects in the current day and age. Without this constant connectiveness as we enter an era of big data, project completion will result in utter failure. Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution addresses changes wrought by Industry 4.0 and its effects on project management as well as adaptations and adjustments that will need to be made within project life cycles and project risk management. Highlighting such topics as agile planning, cloud projects, and organization structure, it is designed for project managers, executive management, students, and academicians.

CMM in Practice

Author : Pankaj Jalote
Publisher : Addison-Wesley Professional
ISBN 13 : 9780201616262
Total Pages : 408 pages
Book Rating : 4.6/5 (162 download)

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Book Synopsis CMM in Practice by : Pankaj Jalote

Download or read book CMM in Practice written by Pankaj Jalote and published by Addison-Wesley Professional. This book was released on 2000 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Project initiation; Project planning; Project execution and termination.

Competing with High Quality Data

Author : Rajesh Jugulum
Publisher : John Wiley & Sons
ISBN 13 : 9781118342329
Total Pages : 0 pages
Book Rating : 4.3/5 (423 download)

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Book Synopsis Competing with High Quality Data by : Rajesh Jugulum

Download or read book Competing with High Quality Data written by Rajesh Jugulum and published by John Wiley & Sons. This book was released on 2014-03-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create a competitive advantage with data quality Data is rapidly becoming the powerhouse of industry, but low-quality data can actually put a company at a disadvantage. To be used effectively, data must accurately reflect the real-world scenario it represents, and it must be in a form that is usable and accessible. Quality data involves asking the right questions, targeting the correct parameters, and having an effective internal management, organization, and access system. It must be relevant, complete, and correct, while falling in line with pervasive regulatory oversight programs. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality takes a holistic approach to improving data quality, from collection to usage. Author Rajesh Jugulum is globally-recognized as a major voice in the data quality arena, with high-level backgrounds in international corporate finance. In the book, Jugulum provides a roadmap to data quality innovation, covering topics such as: The four-phase approach to data quality control Methodology that produces data sets for different aspects of a business Streamlined data quality assessment and issue resolution A structured, systematic, disciplined approach to effective data gathering The book also contains real-world case studies to illustrate how companies across a broad range of sectors have employed data quality systems, whether or not they succeeded, and what lessons were learned. High-quality data increases value throughout the information supply chain, and the benefits extend to the client, employee, and shareholder. Competing with High Quality Data: Concepts, Tools and Techniques for Building a Successful Approach to Data Quality provides the information and guidance necessary to formulate and activate an effective data quality plan today.

Execution

Author : Larry Bossidy
Publisher : Crown Currency
ISBN 13 : 0307591468
Total Pages : 290 pages
Book Rating : 4.3/5 (75 download)

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Book Synopsis Execution by : Larry Bossidy

Download or read book Execution written by Larry Bossidy and published by Crown Currency. This book was released on 2009-11-10 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: #1 NEW YORK TIMES BESTSELLER • More than two million copies in print! The premier resource for how to deliver results in an uncertain world, whether you’re running an entire company or in your first management job. “A must-read for anyone who cares about business.”—The New York Times When Execution was first published, it changed the way we did our jobs by focusing on the critical importance of “the discipline of execution”: the ability to make the final leap to success by actually getting things done. Larry Bossidy and Ram Charan now reframe their empowering message for a world in which the old rules have been shattered, radical change is becoming routine, and the ability to execute is more important than ever. Now and for the foreseeable future: • Growth will be slower. But the company that executes well will have the confidence, speed, and resources to move fast as new opportunities emerge. • Competition will be fiercer, with companies searching for any possible advantage in every area from products and technologies to location and management. • Governments will take on new roles in their national economies, some as partners to business, others imposing constraints. Companies that execute well will be more attractive to government entities as partners and suppliers and better prepared to adapt to a new wave of regulation. • Risk management will become a top priority for every leader. Execution gives you an edge in detecting new internal and external threats and in weathering crises that can never be fully predicted. Execution shows how to link together people, strategy, and operations, the three core processes of every business. Leading these processes is the real job of running a business, not formulating a “vision” and leaving the work of carrying it out to others. Bossidy and Charan show the importance of being deeply and passionately engaged in an organization and why robust dialogues about people, strategy, and operations result in a business based on intellectual honesty and realism. With paradigmatic case histories from the real world—including examples like the diverging paths taken by Jamie Dimon at JPMorgan Chase and Charles Prince at Citigroup—Execution provides the realistic and hard-nosed approach to business success that could come only from authors as accomplished and insightful as Bossidy and Charan.

The Self-Service Data Roadmap

Author : Sandeep Uttamchandani
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492075205
Total Pages : 297 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis The Self-Service Data Roadmap by : Sandeep Uttamchandani

Download or read book The Self-Service Data Roadmap written by Sandeep Uttamchandani and published by "O'Reilly Media, Inc.". This book was released on 2020-09-10 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work. Build a self-service portal to support data discovery, quality, lineage, and governance Select the best approach for each self-service capability using open source cloud technologies Tailor self-service for the people, processes, and technology maturity of your data platform Implement capabilities to democratize data and reduce time to insight Scale your self-service portal to support a large number of users within your organization