Search Results for "the-chief-data-officer-handbook-for-data-governance"

The Chief Data Officer Handbook for Data Governance

The Chief Data Officer Handbook for Data Governance

  • Author: Sunil Soares
  • Publisher: MC Press
  • ISBN: 9781583474174
  • Category: Computers
  • Page: 80
  • View: 2356
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A practical guide for today's chief data officers to define and manage data governance programs The relatively new role of chief data officer (CDO) has been created to address the issue of managing a company's data as a strategic asset, but the problem is that there is no universally accepted "playbook" for this role. Magnifying the challenge is the rapidly increasing volume and complexity of data, as well as regulatory compliance as it relates to data. In this book, Sunil Soares provides a practical guide for today's chief data officers to manage data as an asset while delivering the trusted data required to power business initiatives, from the tactical to the transformative. The guide describes the relationship between the CDO and the data governance team, whose task is the formulation of policy to optimize, secure, and leverage information as an enterprise asset by aligning the objectives of multiple functions. Soares provides unique insight into the role of the CDO and presents a blueprint for implementing data governance successfully within the context of the position. With practical advice CDOs need, this book helps establish new data governance practices or mature existing practices.

The Chief Data Officer's Playbook

The Chief Data Officer's Playbook

  • Author: Caroline Carruthers,Peter Jackson
  • Publisher: Facet Publishing
  • ISBN: 1783302577
  • Category: Business & Economics
  • Page: 208
  • View: 4594
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The new and rapidly expanding role of the Chief Data Officer (CDO) is of significant interest and relevance to organisations and data professionals internationally. Written by two practicing CDOs, this new book offers a jargon-free, practical guide to making better decisions based on data. Content covered includes: - why does any organisation need a CDO? - the secret ingredients of the successful CDO - avoiding the hype cycle - building the CDO team - who leads the technology? - the CDO and data governance: enablement not red tape. This book will offer key insights for CDOs looking to understand their position better, for aspiring CDOs and data officers looking at career progression, for those recruiting CDOs, and offers essential knowledge for anyone else operating in the current data environment.

Data Governance

Data Governance

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

  • Author: John Ladley
  • Publisher: Newnes
  • ISBN: 0124158293
  • Category: Business & Economics
  • Page: 236
  • View: 1663
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This book is for any manager or team leader that has the green light to implement a data governance program What you will find in this book is an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable.

Big Data Governance

Big Data Governance

An Emerging Imperative

  • Author: Sunil Soares
  • Publisher: Mc PressLlc
  • ISBN: 9781583473771
  • Category: Computers
  • Page: 342
  • View: 1717
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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.

Data Governance

Data Governance

Creating Value from Information Assets

  • Author: Neera Bhansali
  • Publisher: CRC Press
  • ISBN: 1439879141
  • Category: Computers
  • Page: 268
  • View: 7161
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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.

Non-Invasive Data Governance

Non-Invasive Data Governance

The Path of Least Resistance and Greatest Success

  • Author: Robert S. Seiner
  • Publisher: Technics Publications
  • ISBN: 1634620453
  • Category: Computers
  • Page: 148
  • View: 4781
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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.

Infonomics

Infonomics

How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage

  • Author: Douglas B. Laney
  • Publisher: Routledge
  • ISBN: 1351610694
  • Category: Business & Economics
  • Page: 322
  • View: 7558
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Many senior executives talk about information as one of their most important assets, but few behave as if it is. They report to the board on the health of their workforce, their financials, their customers, and their partnerships, but rarely the health of their information assets. Corporations typically exhibit greater discipline in tracking and accounting for their office furniture than their data. Infonomics is the theory, study, and discipline of asserting economic significance to information. It strives to apply both economic and asset management principles and practices to the valuation, handling, and deployment of information assets. This book specifically shows: CEOs and business leaders how to more fully wield information as a corporate asset CIOs how to improve the flow and accessibility of information CFOs how to help their organizations measure the actual and latent value in their information assets. More directly, this book is for the burgeoning force of chief data officers (CDOs) and other information and analytics leaders in their valiant struggle to help their organizations become more infosavvy. Author Douglas Laney has spent years researching and developing Infonomics and advising organizations on the infinite opportunities to monetize, manage, and measure information. This book delivers a set of new ideas, frameworks, evidence, and even approaches adapted from other disciplines on how to administer, wield, and understand the value of information. Infonomics can help organizations not only to better develop, sell, and market their offerings, but to transform their organizations altogether.

Data Strategy and the Enterprise Data Executive

Data Strategy and the Enterprise Data Executive

Ensuring that Business and IT are in Synch in the Post-Big Data Era

  • Author: Peter Aiken ,Todd Harbour
  • Publisher: Technics Publications
  • ISBN: 1634622197
  • Category: Big data
  • Page: N.A
  • View: 5395
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Master a proven approach to create, implement, and sustain a data strategy. Pervasive, data is a unique organizational resource, and this distinction warrants its own strategy. Data, representing your single non-depletable, non-degradable, durable strategic asset, is likely also your most poorly leveraged and underutilized organizational asset. Lack of talent, barriers in organizational thinking, and seven specific data sins prevent most organizations from benefiting fully from their data asset investments. Solving these prerequisites will allow your organization to: Improve your organization’s data; Improve the way your people use data; and Improve the way your people use data to achieve your organizational strategy. This method better focuses data and thinking in direct support of strategic objectives. After eliminating necessary prerequisites, organizations can develop a disciplined and repeatable means of improving their data, literacy, standards, and controls using data governance practices. Once in place, the process (based on the theory of constraints) becomes a variant of lather, rinse, and repeat. Several complementary concepts covered include: An overview of data strategy prerequisites; A repeatable process for identifying and removing data constraints; Why data strategy is necessary for effective data governance; Balancing operational results with capability development; An objective definition of data-centric thinking; and Ways to monetize these efforts.

The Case for the Chief Data Officer

The Case for the Chief Data Officer

Recasting the C-Suite to Leverage Your Most Valuable Asset

  • Author: Peter Aiken,Michael M. Gorman
  • Publisher: Newnes
  • ISBN: 0124114954
  • Category: Computers
  • Page: 88
  • View: 5604
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Data are an organization's sole, non-depletable, non-degrading, durable asset. Engineered right, data's value increases over time because the added dimensions of time, geography, and precision. To achieve data's full organizational value, there must be dedicated individual to leverage data as assets - a Chief Data Officer or CDO who's three job pillars are: Dedication solely to leveraging data assets, Unconstrained by an IT project mindset, and Reports directly to the business Once these three pillars are set into place, organizations can leverage their data assets. Data possesses properties worthy of additional investment. Many existing CDOs are fatally crippled, however, because they lack one or more of these three pillars. Often organizations have some or all pillars already in place but are not operating in a coordinated manner. The overall objective of this book is to present these pillars in an understandable way, why each is necessary (but insufficient), and what do to about it. Uncovers that almost all organizations need sophisticated, comprehensive data management education and strategies. Delivery of organization-wide data success requires a highly focused, full time Chief Data Officer. Engineers organization-wide data advantage which enables success in the marketplace

Data Stewardship

Data Stewardship

An Actionable Guide to Effective Data Management and Data Governance

  • Author: David Plotkin
  • Publisher: Newnes
  • ISBN: 0124104452
  • Category: Computers
  • Page: 248
  • View: 8728
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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 to organize, train, and work with data stewards, get high-quality business definitions and other metadata, and perform the day-to-day tasks using a minimum of the steward’s time and effort. David Plotkin has loaded this book with practical advice on stewardship so you can get right to work, have early successes, and measure and communicate those successes, gaining more support for this critical effort. Provides clear and concise practical advice on implementing and running data stewardship, including guidelines on how to organize based on company structure, business functions, and data ownership Shows how to gain support for your stewardship effort, maintain that support over the long-term, and measure the success of the data stewardship effort and report back to management Includes detailed lists of responsibilities for each type of data steward and strategies to help the Data Governance Program Office work effectively with the data stewards

Selling Information Governance to the Business

Selling Information Governance to the Business

Best Practices by Industry and Job Function

  • Author: Sunil Soares
  • Publisher: McBooks Press
  • ISBN: 9781583473689
  • Category: Business & Economics
  • Page: 392
  • View: 2105
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Making the case for an effective information governance program as an enterprise asset

Big Data Governance

Big Data Governance

Modern Data Management Principles for Hadoop, Nosql & Big Data Analytics

  • Author: Peter Ghavami, Ph.d.
  • Publisher: Createspace Independent Publishing Platform
  • ISBN: 9781519559722
  • Category:
  • Page: 202
  • View: 9773
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Data is the new Gold and Analytics is the machinery to mine, mold and mint it. Data analytics has become core to business and decision making. The rapid increase in data volume, velocity and variety, known as big data, offers both opportunities and challenges. While open source solutions to store big data, like Hadoop and NoSQL offer platforms for exploring value and insight from big data, they were not originally developed with data security and governance in mind. Organizations that are launching big data initiatives face significant challenges for managing this data effectively. In this book, the author has collected best practices from the world's leading organizations who have successfully implemented big data platforms. He offers the latest techniques and methods for managing big data effectively. The book offers numerous policies, strategies and recipes for managing big data. It addresses many issues that are prevalent with data security, privacy, controls and life cycle management offering modern principles and open source architectures for successful governance of big data. Topics that 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 information technology leaders who are implementing big data platforms in their organizations.

The Provost's Handbook

The Provost's Handbook

The Role of the Chief Academic Officer

  • Author: James Martin,James E. Samels
  • Publisher: JHU Press
  • ISBN: 1421416255
  • Category: Education
  • Page: 248
  • View: 2446
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As the chief academic officer, the provost plays the central role in the contemporary university or college. He or she leads the faculty and serves as their key representative to the administration while simultaneously acting as the administration’s spokesperson to the academic faculty. How has this essential leadership position evolved over the past few decades, and what are the best practices to adopt for succeeding in specific operational areas? In seventeen essays written by some of the most successful chief academic officers in the United States, The Provost’s Handbook outlines key topics related to the changing environment of higher education while explaining what constitutes effective leadership at the college and university level. How, for example, does the provost lead in a time of disruption and shifting needs? What skills should he or she nurture in new faculty? What role should data and institutional research play in decision making? How can a provost navigate the often stormy situations of shared governance? These questions—and many more challenges presented by this role—are addressed in this essential volume. Assembled by James Martin and James E. Samels, accomplished authors and scholars of leadership in higher education, The Provost’s Handbook is destined to become the go-to resource for deans, presidents, trustees, and chief academic officers everywhere.

Data Strategy

Data Strategy

How to Profit from a World of Big Data, Analytics and the Internet of Things

  • Author: Bernard Marr
  • Publisher: Kogan Page Publishers
  • ISBN: 0749479868
  • Category: Business & Economics
  • Page: 200
  • View: 4582
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Less than 0.5 per cent of all data is currently analysed and used. However, business leaders and managers cannot afford to be unconcerned or sceptical about data. Data is revolutionizing the way we work and it is the companies that view data as a strategic asset that will survive and thrive. Bernard Marr's Data Strategy is a must-have guide to creating a robust data strategy. Explaining how to identify your strategic data needs, what methods to use to collect the data and, most importantly, how to translate your data into organizational insights for improved business decision-making and performance, this is essential reading for anyone aiming to leverage the value of their business data and gain competitive advantage. Packed with case studies and real-world examples, advice on how to build data competencies in an organization and crucial coverage of how to ensure your data doesn't become a liability, Data Strategy will equip any organization with the tools and strategies it needs to profit from big data, analytics and the Internet of Things.

Big Data For Dummies

Big Data For Dummies

  • Author: Judith Hurwitz,Alan Nugent,Fern Halper,Marcia Kaufman
  • Publisher: John Wiley & Sons
  • ISBN: 1118644174
  • Category: Computers
  • Page: 336
  • View: 4954
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Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to develop or manage big data solutions, you'll appreciate how these four experts define, explain, and guide you through this new and often confusing concept. You'll learn what it is, why it matters, and how to choose and implement solutions that work. Effectively managing big data is an issue of growing importance to businesses, not-for-profit organizations, government, and IT professionals Authors are experts in information management, big data, and a variety of solutions Explains big data in detail and discusses how to select and implement a solution, security concerns to consider, data storage and presentation issues, analytics, and much more Provides essential information in a no-nonsense, easy-to-understand style that is empowering Big Data For Dummies cuts through the confusion and helps you take charge of big data solutions for your organization.

Data Governance Tools

Data Governance Tools

Evaluation Criteria, Big Data Governance, and Alignment with Enterprise Data Management

  • Author: Sunil Soares
  • Publisher: Mc PressLlc
  • ISBN: 9781583478448
  • Category: Computers
  • Page: 368
  • View: 7222
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Comprehensively covers evaluation criteria for and capabilities of the software tools available for implementing a data governance program Data governance programs often start off using programs such as Microsoft Excel and Microsoft SharePoint to document and share data governance artifacts. But these tools often lack critical functionality. Meanwhile, vendors have matured their data governance offerings to the extent that today's organizations need to consider tools as a critical component of their data governance programs. In this book, data governance expert Sunil Soares reviews the Enterprise Data Management (EDM) reference architecture and discusses key data governance tasks that can be automated by tools for business glossaries, metadata management, data profiling, data quality management, master data management, reference data management, and information policy management. Subsequent sections describe the integration points between EDM tools and data governance and examine how governance tools interact with big data technologies, including Hadoop, NoSQL, stream computing, and text analytics. The final section of the book discusses evaluation criteria for data governance tools and provides an overview of key vendor platforms, including ASG, Collibra, Global IDs, IBM, Informatica, Orchestra Networks, SAP, and Talend.

The Talent Equation: Big Data Lessons for Navigating the Skills Gap and Building a Competitive Workforce

The Talent Equation: Big Data Lessons for Navigating the Skills Gap and Building a Competitive Workforce

  • Author: Matt Ferguson,Lorin Hitt,Prasanna Tambe
  • Publisher: McGraw Hill Professional
  • ISBN: 0071827137
  • Category: Business & Economics
  • Page: 288
  • View: 5603
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"Companies that can unleash the passions and gifts of their people will have a competitive advantage in the landscape of the future--becoming curators instead of keepers of talent. This book gives readers some of the keys to cracking that code." --CARLEEN HAAS, VICE PRESIDENT AND CHIEF TALENT OFFICER, HUMANA IS YOUR HR DEPARTMENT PREPARED TO FLIP THE BIG DATA SWITCH? At every stage of the employee life cycle, a data-driven approach to HR can help companies make smarter decisions about their most important asset: their people. In the wake of the greatest shock to the labor market since the Great Depression, companies are faced with looming skill shortages, retention concerns, and questions regarding the most effective composition of their workforce. The Talent Equation shows you how to navigate today's hiring climate and drive your business forward. Matt Ferguson, CEO of CareerBuilder, offers hiring professionals and business leaders a roadmap to attract and retain top talent. Ferguson and coauthors Lorin Hitt (Wharton School) and Prasanna Tambe (NYU's Stern School) commissioned a landmark big data study of more than 2,700 employers and 33 million resumes to find the relationship between market performance, education attainment, and employee tenure. The findings are enlightening--and quite surprising. The Talent Equation explores: The ROI of increased education levels and retention rates The benefits of continuous recruitment and talent pipelines technology market, and how workforce analytics tools are changing talent acquisition The importance of reducing longterm unemployment through training and reskilling Smart and timely, The Talent Equation also incorporates case studies from leading brands--both global and domestic--that further illustrate staffing issues facing executives today. The insights and research in the book are invaluable tools for anyone who wants to build and retain a dynamic, competitive, and productive workforce.

Get Governed

Get Governed

Building World Class Data Governance Programs

  • Author: Morgan Templar
  • Publisher: N.A
  • ISBN: 9780692951750
  • Category: Data protection
  • Page: 274
  • View: 2068
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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.

Value and Capital Management

Value and Capital Management

A Handbook for the Finance and Risk Functions of Financial Institutions

  • Author: Thomas C. Wilson
  • Publisher: John Wiley & Sons
  • ISBN: 1118774388
  • Category: Business & Economics
  • Page: 720
  • View: 7194
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A value management framework designed specifically for banking and insurance The Value Management Handbook is a comprehensive, practical reference written specifically for bank and insurance valuation and value management. Spelling out how the finance and risk functions add value in their respective spheres, this book presents a framework for measuring – and more importantly, influencing – the value of the firm from the position of the CFO and CRO. Case studies illustrating value-enhancing initiatives are designed to help Heads of Strategy offer CEOs concrete ideas toward creating more value, and discussion of "hard" and "soft" skills put CFOs and CROs in a position to better influence strategy and operations. The challenge of financial services valuation is addressed in terms of the roles of risk and capital, and business-specific "value trees" demonstrate the source of successful value enhancement initiatives. While most value management resources fail to adequately address the unique role of risk and capital in banks, insurance, and asset management, this book fills the gap by providing concrete, business-specific information that connects management actions and value creation, helping readers to: Measure value accurately for more productive value-based management initiatives and evaluation of growth opportunities Apply a quantitative, risk-adjusted value management framework reconciled with the way financial services shares are valued by the market Develop a value set specific to the industry to inspire initiatives that increase the firm's value Study the quantitative and qualitative management frameworks that move CFOs and CROs from measurement to management The roles of CFO and CRO in financial firms have changed dramatically over the past decade, requiring business savvy and the ability to challenge the CEO. The Value Management Handbook provides the expert guidance that leads CFOs and CROs toward better information, better insight, and better decisions.

DAMA-DMBOK

DAMA-DMBOK

Data Management Body of Knowledge

  • Author: Dama International
  • Publisher: N.A
  • ISBN: 9781634622349
  • Category: Database management
  • Page: 628
  • View: 1913
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Defining a set of guiding principles for data management and describing how these principles can be applied within data management functional areas; Providing a functional framework for the implementation of enterprise data management practices; including widely adopted practices, methods and techniques, functions, roles, deliverables and metrics; Establishing a common vocabulary for data management concepts and serving as the basis for best practices for data management professionals. DAMA-DMBOK2 provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure, based on these principles: Data is an asset with unique properties; The value of data can be and should be expressed in economic terms; Managing data means managing the quality of data; It takes metadata to manage data; It takes planning to manage data; Data management is cross-functional and requires a range of skills and expertise; Data management requires an enterprise perspective; Data management must account for a range of perspectives; Data management is data lifecycle management; Different types of data have different lifecycle requirements; Managing data includes managing risks associated with data; Data management requirements must drive information technology decisions; Effective data management requires leadership commitment.