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Data Governance

Data Governance
How to Design, Deploy, and Sustain an Effective Data Governance Program

by John Ladley

  • Publisher : Academic Press
  • Release : 2019-11-08
  • Pages : 350
  • ISBN : 0128158328
  • Language : En, Es, Fr & De
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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 and privacy / security concerns are becoming burdensome. Organizations will encounter unexpected consequences in new sources of risk. The solution to these challenges is also data governance; ensuring balance between risk and opportunity. Data Governance, Second Edition, is for any executive, manager or data professional who needs to understand or implement a data governance program. It is required to ensure consistent, accurate and reliable data across their organization. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. This valuable resource provides comprehensive guidance to beginning professionals, managers or analysts looking to improve their processes, and advanced students in Data Management and related courses. With the provided framework and case studies all professionals in the data governance field will gain key insights into launching successful and money-saving data governance program. Incorporates industry changes, lessons learned and new approaches Explores various ways in which data analysts and managers can ensure consistent, accurate and reliable data across their organizations Includes new case studies which detail real-world situations Explores all of the capabilities an organization must adopt to become data driven Provides guidance on various approaches to data governance, to determine whether an organization should be low profile, central controlled, agile, or traditional Provides guidance on using technology and separating vendor hype from sincere delivery of necessary capabilities Offers readers insights into how their organizations can improve the value of their data, through data quality, data strategy and data literacy Provides up to 75% brand-new content compared to the first edition

Non-Invasive Data Governance

Non-Invasive Data Governance
The Path of Least Resistance and Greatest Success

by Robert S. Seiner

  • Publisher : Technics Publications Llc
  • Release : 2014-08
  • Pages : 148
  • ISBN : 9781935504856
  • Language : En, Es, Fr & De
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Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance(TM) focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

Disrupting Data Governance

Disrupting Data Governance
A Book

by Laura B. Madsen

  • Publisher : Technics Publications
  • Release : 2019-12-06
  • Pages : 180
  • ISBN : 1634626559
  • Language : En, Es, Fr & De
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Data governance is broken. It’s time we fix it. Why is data governance so ineffective? The truth is data governance programs aren’t designed for the way we run our data teams, they aren’t even designed for a modern organization at all. They were designed when reports still came through inter-office mail. The flow of data into, within, and out of today’s organizations is a tsunami breaking through rigid data governance methods. Yet our programs still rely on that command and control approach. Have you ever tried to control a tsunami? Every organization that uses data knows that they need a data governance program. Data literacy efforts and legislation like GDPR have become the bellwethers for our governance functions. But we still sit in data governance meetings without enough people and too many questions to move things forward. There’s no agility to the program because we imply a degree of frailty to the data that doesn’t exist. We continue to insist on archaic methods that bring no value to our organizations. Achieving deep insights from data can’t happen without good governance practices. All indicators point to the need to create a resilient and responsive data governance function. Where we go from here, and how we achieve success in data governance requires a radically different way. The hard truth: it’s time to challenge everything we know about data governance. Laura Madsen shows you how to redefine governance for the modern age. With a casual, witty style Madsen taps on her decades of experience, shares interviews with other best-in-field experts and grounds her perspective in research. Witness where it all fell apart, challenge long-held beliefs, and commit to a fundamental shift—that governance is not about stopping or preventing usage but about supporting the usage of data. Be able to bring back trust and value to our data governance functions, and learn the: · People-driven approach to governance · Processes that support the tsunami of data · Cutting edge technology that’s enabling data governance

Disrupting Data Governance

Disrupting Data Governance
A Call to Action

by Laura Madsen

  • Publisher : Unknown Publisher
  • Release : 2019-12-06
  • Pages : 182
  • ISBN : 9781634626538
  • Language : En, Es, Fr & De
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Data governance is broken. Its time we fix it. Why is data governance so ineffective? The truth is data governance programs arent designed for the way we run our data teams, they arent even designed for a modern organization at all. They were designed when reports still came through inter-office mail. The flow of data into, within, and out of todays organizations is a tsunami breaking through rigid data governance methods. Yet our programs still rely on that command and control approach. Have you ever tried to control a tsunami? Every organization that uses data knows that they need a data governance program. Data literacy efforts and legislation like GDPR have become the bellwethers for our governance functions. But we still sit in data governance meetings without enough people and too many questions to move things forward. Theres no agility to the program because we imply a degree of frailty to the data that doesnt exist. We continue to insist on archaic methods that bring no value to our organizations. Achieving deep insights from data cant happen without good governance practices. All indicators point to the need to create a resilient and responsive data governance function. Where we go from here, and how we achieve success in data governance requires a radically different way. The hard truth: its time to challenge everything we know about data governance. Laura Madsen shows you how to redefine governance for the modern age. With a casual, witty style Madsen taps on her decades of experience, shares interviews with other best-in-field experts and grounds her perspective in research. Witness where it all fell apart, challenge long-held beliefs, and commit to a fundamental shiftthat governance is not about stopping or preventing usage but about supporting the usage of data. Be able to bring back trust and value to our data governance functions, and learn the: People-driven approach to governance; Processes that support the tsunami of data; Cutting edge technology thats enabling data governance.

Data Governance

Data Governance
Creating Value from Information Assets

by Neera Bhansali

  • Publisher : CRC Press
  • Release : 2013-06-17
  • Pages : 268
  • ISBN : 1439879133
  • Language : En, Es, Fr & De
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As organizations deploy business intelligence and analytic systems to harness business value from their data assets, data governance programs are quickly gaining prominence. And, although data management issues have traditionally been addressed by IT departments, organizational issues critical to successful data management require the implementation of enterprise-wide accountabilities and responsibilities. Data Governance: Creating Value from Information Assets examines the processes of using data governance to manage data effectively. Addressing the complete life cycle of effective data governance—from metadata management to privacy and compliance—it provides business managers, IT professionals, and students with an integrated approach to designing, developing, and sustaining an effective data governance strategy. Explains how to align data governance with business goals Describes how to build successful data stewardship with a governance framework Outlines strategies for integrating IT and data governance frameworks Supplies business-driven and technical perspectives on data quality management, metadata management, data access and security, and data lifecycle The book summarizes the experiences of global experts in the field and addresses critical areas of interest to the information systems and management community. Case studies from healthcare and financial sectors, two industries that have successfully leveraged the potential of data-driven strategies, provide further insights into real-time practice. Facilitating a comprehensive understanding of data governance, the book addresses the burning issue of aligning data assets to both IT assets and organizational strategic goals. With a focus on the organizational, operational, and strategic aspects of data governance, the text provides you with the understanding required to leverage, derive, and sustain maximum value from the informational assets housed in your IT infrastructure.

Big Data Governance

Big Data Governance
An Emerging Imperative

by Sunil Soares

  • Publisher : Mc PressLlc
  • Release : 2012-11-01
  • Pages : 342
  • ISBN : 9781583473771
  • Language : En, Es, Fr & De
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Written by a leading expert in the field, this account focuses on the convergence of two major trends in information management—big data and information governance—by taking a strategic approach oriented around business cases and industry imperatives. With the advent of new technologies, enterprises are expanding and handling very large volumes of data; this book, nontechnical in nature and geared toward business audiences, encourages the practice of establishing appropriate governance over big data initiatives and addresses how to manage and govern big data, highlighting the relevant processes, procedures, and policies. It teaches readers to understand how big data fits within an overall information governance program; quantify the business value of big data; apply information governance concepts such as stewardship, metadata, and organization structures to big data; appreciate the wide-ranging business benefits for various industries and job functions; sell the value of big data governance to businesses; and establish step-by-step processes to implement big data governance.

A Practitioner's Guide to Data Governance

A Practitioner's Guide to Data Governance
A Case-Based Approach

by Uma Gupta,San Cannon

  • Publisher : Emerald Group Publishing
  • Release : 2020-07-08
  • Pages : 248
  • ISBN : 1789735696
  • Language : En, Es, Fr & De
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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.

The Data Governance Imperative

The Data Governance Imperative
A Book

by Steve Sarsfield

  • Publisher : IT Governance Publishing
  • Release : 2009-04-23
  • Pages : 161
  • ISBN : 1849280134
  • Language : En, Es, Fr & De
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This practical book covers both strategies and tactics around managing a data governance initiative to help make the most of your data.

Non-Invasive Data Governance

Non-Invasive Data Governance
De weg van de minste weerstand en het grootste succes

by Bob Seiner

  • Publisher : Technics Publications
  • Release : 2021
  • Pages : 178
  • ISBN : 1634624874
  • Language : En, Es, Fr & De
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Data governance-programma’s richten zich op het uitoefenen van gezag en op verantwoordelijkheid voor het managen van data als waardevol bedrijfsmiddel. Data governance hoeft niet om controle en beheersing te draaien, maar kan soms invasief of bedreigend zijn voor het werk, de medewerkers en de cultuur van een organisatie. Non-Invasive Data GovernanceTM richt zich op formalisering van bestaande verantwoordelijkheden voor het managen van data en verbetering van de formele communicatie, beveiliging en kwaliteitsinspanningen via effectief stewardschap van databronnen. Scamander – The Data Liberation Company ® - heeft dit boek in het Nederlands vertaald, omdat wij geloven dat de enige succesvolle benadering een non-invasive benadering is. Non-Invasive Data Governance biedt u een complete set tools om een succesvol data-governance-programma op te zetten. Ontdek hoe: Verantwoordelijkheden en taken als steward niet als extra werk aan medewerkers hoeven te worden opgedragen of aangereikt, maar kunnen worden benoemd, herkend en ingezet in overeenstemming met hun bestaande verantwoordelijkheid. Governance van informatie niet als een nieuw proces of nieuwe methode hoeft te worden geïntroduceerd of benadrukt, maar kan worden geïntegreerd in bestaand beleid, reguliere werkprocedures, werkwijzen en methodieken. Governance van informatie geen kwestie hoeft te zijn van inconsequente discipline opgelegd aan activiteiten als data-integratie, risicomanagement, business intelligence en master data management, maar deze juist kan ondersteunen. Een praktische en niet-bedreigende benadering kan worden toegepast op de governance van informatie en het stimuleren van datastewardschap als een organisatiebreed asset. Best practices en kernconcepten van deze niet-bedreigende benadering effectief kunnen worden gecommuniceerd, zodat van sterke punten kan worden geprofiteerd en verbeterpunten worden aangepakt.

Non-Invasive Data Governance

Non-Invasive Data Governance
The Path of Least Resistance and Greatest Success

by Robert S. Seiner

  • Publisher : Technics Publications
  • Release : 2014-09-01
  • Pages : 148
  • ISBN : 1634620453
  • Language : En, Es, Fr & De
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Data-governance programs focus on authority and accountability for the management of data as a valued organizational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organization. Non-Invasive Data Governance™ focuses on formalizing existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. Non-Invasive Data Governance will provide you with a complete set of tools to help you deliver a successful data governance program. Learn how: • Steward responsibilities can be identified and recognized, formalized, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. • Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasized as new processes or methods. • Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigor to these initiatives. • A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organization asset. • Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve.

Big Data Management

Big Data Management
Data Governance Principles for Big Data Analytics

by Peter Ghavami

  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 2020-11-09
  • Pages : 174
  • ISBN : 3110664321
  • Language : En, Es, Fr & De
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Data analytics is core to business and decision making. The rapid increase in data volume, velocity and variety offers both opportunities and challenges. While open source solutions to store big data, like Hadoop, offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Big Data Management discusses numerous policies, strategies and recipes for managing big data. It addresses data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. The author has collected best practices from the world’s leading organizations that have successfully implemented big data platforms. The topics discussed cover the entire data management life cycle, data quality, data stewardship, regulatory considerations, data council, architectural and operational models are presented for successful management of big data. The book is a must-read for data scientists, data engineers and corporate leaders who are implementing big data platforms in their organizations.

OECD Health Policy Studies Health Data Governance Privacy, Monitoring and Research

OECD Health Policy Studies Health Data Governance Privacy, Monitoring and Research
Privacy, Monitoring and Research

by OECD

  • Publisher : OECD Publishing
  • Release : 2015-10-05
  • Pages : 200
  • ISBN : 9264244565
  • Language : En, Es, Fr & De
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This report identifies eight key data governance mechanisms to maximise benefits to patients and to societies from the collection, linkage and analysis of health data, and to minimise risks to both patient privacy and the security of health data.

Data Governance and Data Management

Data Governance and Data Management
Contextualizing Data Governance Drivers, Technologies, and Tools

by Rupa Mahanti

  • Publisher : Springer
  • Release : 2021-09-15
  • Pages : 197
  • ISBN : 9789811635823
  • Language : En, Es, Fr & De
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This book delves into the concept of data as a critical enterprise asset needed for informed decision making, compliance, regulatory reporting and insights into trends, behaviors, performance and patterns. With good data being key to staying ahead in a competitive market, enterprises capture and store exponential volumes of data. Considering the business impact of data, there needs to be adequate management around it to derive the best value. Data governance is one of the core data management related functions. However, it is often overlooked, misunderstood or confused with other terminologies and data management functions. Given the pervasiveness of data and the importance of data, this book provides comprehensive understanding of the business drivers for data governance and benefits of data governance, the interactions of data governance function with other data management functions and various components and aspects of data governance that can be facilitated by technology and tools, the distinction between data management tools and data governance tools, the readiness checks to perform before exploring the market to purchase a data governance tool, the different aspects that must be considered when comparing and selecting the appropriate data governance technologies and tools from large number of options available in the marketplace and the different market players that provide tools for supporting data governance. This book combines the data and data governance knowledge that the author has gained over years of working in different industrial and research programs and projects associated with data, processes and technologies with unique perspectives gained through interviews with thought leaders and data experts. This book is highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge and get guidance on implementing data governance in their own data initiatives.

Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes

Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes
A Book

by Chuck Ballard,Trey Anderson,Dr. Lawrence Dubov,Alex Eastman,Jay Limburn,Umasuthan Ramakrishnan,IBM Redbooks

  • Publisher : IBM Redbooks
  • Release : 2013-03-08
  • Pages : 212
  • ISBN : 0738437743
  • Language : En, Es, Fr & De
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An enterprise can gain differentiating value by aligning its master data management (MDM) and business process management (BPM) projects. This way, organizations can optimize their business performance through agile processes that empower decision makers with the trusted, single version of information. Many companies deploy MDM strategies as assurances that enterprise master data can be trusted and used in the business processes. IBM® InfoSphere® Master Data Management creates trusted views of data assets and elevates the effectiveness of an organization's most important business processes and applications. This IBM Redbooks® publication provides an overview of MDM and BPM. It examines how you can align them to enable trusted and accurate information to be used by business processes to optimize business performance and bring more agility to data stewardship. It also provides beginning guidance on these patterns and where cross-training efforts might focus. This book is written for MDM or BPM architects and MDM and BPM architects. By reading this book, MDM or BPM architects can understand how to scope joint projects or to provide reasonable estimates of the effort. BPM developers (or MDM developers with BPM training) can learn how to design and build MDM creation and consumption use cases by using the MDM Toolkit for BPM. They can also learn how to import data governance samples and extend them to enable collaborative stewardship of master data.

Data Governance

Data Governance
Perspectives and Practices

by Harkish Sen

  • Publisher : Technics Publications
  • Release : 2019-01-02
  • Pages : 206
  • ISBN : 1634624807
  • Language : En, Es, Fr & De
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What is data governance? And what are the principles and techniques you can leverage as a business or IT professional to make data governance successful within your organization? Data Governance will answer these questions and provide you with insights and approaches to improve the “data fitness” of your organization. Gain control of your data and assign responsible parties to ensure the data remains well-understood and protected, by applying the content within this book’s six chapters: · Chapter 1, Understanding Data Governance, looks at the broad definitions of data governance along with issues within data governance. · Chapter 2, Owning Data Governance, looks at Ownership, Wider Perspectives, and Roles, and explores how transparent data governance can simplify the complexities of data ownership. · Chapter 3, Data Confidence, explores using tools (e.g., standards, strategies, and policies) to clearly align business objectives with realistic IT deliverables and produce meaningful outcomes. · Chapter 4, Getting Data Fit, covers the basic elements required to make data governance work for your specific organization. There are five steps required to achieve a basic level of data fitness and effective governance. · Chapter 5, Approach and Stakeholders, covers various ways to implement data governance to ensure there are clear milestones and trigger points for key stakeholders to approve each phase. A data scorecard is introduced as a tool to help guide an organization through the data governance process. · Chapter 6, A Case Study, concerns a fictitious company, D474, used to illustrate the various examples and scenarios for implementing data governance.

Get Governed

Get Governed
Building World Class Data Governance Programs

by Morgan Templar

  • Publisher : Unknown Publisher
  • Release : 2017-09-13
  • Pages : 274
  • ISBN : 9780692951750
  • Language : En, Es, Fr & De
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"Get Governed" is the textbook for data governance professionals. Templar delivers complex information in an approachable style while offering the most accurate and easy to comprehend path toward proper and complete Data Governance for businesses of all sizes and types. Templar quickly conveys why governance matters and how it benefits your organization. No other book on Data Governance provides such a clear roadmap to success while keeping you awake and entertained with stories of how Data Governance has made a difference in the lives of customers and employees. With millions of data points changing every day, there is no time to waste. It is time to Get Governed! ADVANCED PRAISE: "Because data has quietly and quickly reached a critical mass of volume and complexity, the immense opportunities we seek with it can only be achieved when matched with a process of refining it to the few elements among the many that deserve the title 'asset.' "Morgan is sharing how data presents endless opportunities once the right structure, leadership, conversations and cultural shift begin to take place. Whether you picked up this book for curiosity or because you are now responsible for delivering Data Governance to an organization, "Get Governed" is a well-composed guide that will change the way you think about the problem. Morgan thoughtfully lays out the reasons for Data Governance, the setup, the buy-in, the proof-points and the successes and failures to learn from. Morgan takes you on this journey in such an approachable manner that average people and experienced data management professionals alike can all reap the benefits of her experience and knowledge. Data Governance can be broken down into driving value for three core objectives: Analytics and Insights, Operational Excellence and Compliance & Reporting. Use cases related to each define a reason for why data must be trusted and the means for how it must be governed to deliver trust. "This next era of business is only going to be successful by embracing data governance and the importance of the trusted insight you will gain." - Marie Klok Crump, COO, Datum "Healthcare organizations are just starting to realize the potential value of the data they are sitting on, and 'Get Governed' explains both the "why" and the "how" to help organizations find the hidden value of those data assets. Whether you're just getting started, or have been in information management for years, "Get Governed" provides a practical, down-to-earth guide to get your organization on the right path to effective data governance." - Glen Schuster, Founder and Principal, Skrymir Data Strategies; Former CTO of Centene Corporation. "This book provides a unique perspective on the missing link in many organizations' data strategies - Governance. Governance is not just about control and decision making; it's how you enable the effective use of Data and Information to drive value and align it to the stakeholders which companies serve. As data consumption continues to grow exponentially, putting in place the right governance processes is critical. 'Get Governed' helps put some context and structure around these efforts." - Bill Fandrich, SVP and CIO Blue Cross Blue Shield of Michigan.

Data Governance and Compliance

Data Governance and Compliance
Evolving to Our Current High Stakes Environment

by Rupa Mahanti

  • Publisher : Springer Nature
  • Release : 2021-04-27
  • Pages : 193
  • ISBN : 9813368772
  • Language : En, Es, Fr & De
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This book sets the stage of the evolution of corporate governance, laws and regulations, other forms of governance, and the interaction between data governance and other corporate governance sub-disciplines. Given the continuously evolving and complex regulatory landscape and the growing number of laws and regulations, compliance is a widely discussed issue in the field of data. This book considers the cost of non-compliance bringing in examples from different industries of instances in which companies failed to comply with rules, regulations, and other legal obligations, and goes on to explain how data governance helps in avoiding such pitfalls. The first in a three-volume series on data governance, this book does not assume any prior or specialist knowledge in data governance and will be highly beneficial for IT, management and law students, academics, information management and business professionals, and researchers to enhance their knowledge and get guidance in managing their own data governance projects from a governance and compliance perspective.

Big Data Governance and Perspectives in Knowledge Management

Big Data Governance and Perspectives in Knowledge Management
A Book

by Strydom, Sheryl Kruger,Strydom, Moses

  • Publisher : IGI Global
  • Release : 2018-11-16
  • Pages : 304
  • ISBN : 1522570780
  • Language : En, Es, Fr & De
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The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.

Data Governance: The Definitive Guide

Data Governance: The Definitive Guide
A Book

by Evren Eryurek,Uri Gilad,Valliappa Lakshmanan,Anita Kibunguchy-Grant,Jessi Ashdown

  • Publisher : "O'Reilly Media, Inc."
  • Release : 2021-03-08
  • Pages : 254
  • ISBN : 1492063460
  • Language : En, Es, Fr & De
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As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements. Data governance incorporates the ways people, processes, and technology work together to ensure data is trustworthy and can be used effectively. This practical guide shows you how to effectively implement and scale data governance throughout your organization. Chief information, data, and security officers and their teams will learn strategy and tooling to support democratizing data and unlocking its value while enforcing security, privacy, and other governance standards. Through good data governance, you can inspire customer trust, enable your organization to identify business efficiencies, generate more competitive offerings, and improve customer experience. This book shows you how. You'll learn: Data governance strategies addressing people, processes, and tools Benefits and challenges of a cloud-based data governance approach How data governance is conducted from ingest to preparation and use How to handle the ongoing improvement of data quality Challenges and techniques in governing streaming data Data protection for authentication, security, backup, and monitoring How to build a data culture in your organization

Data Governance

Data Governance
Frameworks and Strategies

by John Adler

  • Publisher : Unknown Publisher
  • Release : 2016
  • Pages : 129
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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"In this video, data management expert John Adler leads you through the maze of data governance issues facing companies today--security breaches, regulatory agencies, in-house turf battles over who controls the data, monetizing data, and more. In this fast-paced and thorough discussion of how to plan for, implement, and run a successful data governance program, you'll get an overview of the ways data has been managed in the past and how the smart companies do it now. Along with an introduction to the operational frameworks used in data governance, Adler describes the roles of the Chief Data Officer and the Data Steward, outlines a set of commonly used policies and standards, and shows you how to build the business case for a data governance program. (If people in your company are suspicious of the term 'data governance,' you'll also learn some alternative terms many companies use to socialize and gain acceptance for their data governance programs.) Watch this video and you'll exit the data maze with a fundamental understanding of the origins, business goals, conceptual structure, and value of data governance. Review the business and technology trends that drive the requirement for data governance; learn about the tools, technologies, and frameworks used in successful data governance programs; understand the roles and responsibilities of the key players in data governance; discover the best ways to plan, implement, and run a data governance program; understand the impact that agile development and Big Data collection technologies have on data governance."--Resource description page.