Data Governance

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

Produk Detail:

  • Author : John Ladley
  • Publisher : Academic Press
  • Pages : 350 pages
  • ISBN : 0128158328
  • Rating : 4/5 from 1 reviews
CLICK HERE TO GET THIS BOOKData Governance

Data Governance

Data Governance
  • Author : John Ladley
  • Publisher : Academic Press
  • Release : 08 November 2019
GET THIS BOOKData Governance

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

Disrupting Data Governance

Disrupting Data Governance
  • Author : Laura B. Madsen
  • Publisher : Technics Publications
  • Release : 06 December 2019
GET THIS BOOKDisrupting Data Governance

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

Non-Invasive Data Governance

Non-Invasive Data Governance
  • Author : Robert S. Seiner
  • Publisher : Technics Publications
  • Release : 01 September 2014
GET THIS BOOKNon-Invasive Data Governance

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

Data Governance

Data Governance
  • Author : Neera Bhansali
  • Publisher : CRC Press
  • Release : 17 June 2013
GET THIS BOOKData Governance

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

Data Governance: The Definitive Guide

Data Governance: The Definitive Guide
  • Author : Evren Eryurek,Uri Gilad,Valliappa Lakshmanan,Anita Kibunguchy-Grant,Jessi Ashdown
  • Publisher : "O'Reilly Media, Inc."
  • Release : 08 March 2021
GET THIS BOOKData Governance: The Definitive Guide

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

Big Data Governance

Big Data Governance
  • Author : Sunil Soares
  • Publisher : Mc PressLlc
  • Release : 01 November 2012
GET THIS BOOKBig Data Governance

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

Data Stewardship

Data Stewardship
  • Author : David Plotkin
  • Publisher : Newnes
  • Release : 16 September 2013
GET THIS BOOKData Stewardship

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.

Data Governance and Data Management

Data Governance and Data Management
  • Author : Rupa Mahanti
  • Publisher : Springer Nature
  • Release : 08 September 2021
GET THIS BOOKData Governance and Data Management

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,

Governance of Data

Governance of Data
  • Author : Alison Holt,Benoit Aubert,David Sutton,édéric Gelissen,Nathalie de Marcellis-Warin,Abdelaziz Khadraoui,Brian Donnellan,Alisdair McKenzie,Geoff Clarke,Mihai Bilauca,Pan Rong,Jose Antonio Costa,Ming Li,Rohan Light,Ardi Kolah,Beenish Saeed
  • Publisher : BCS, The Chartered Institute for IT
  • Release : 28 November 2018
GET THIS BOOKGovernance of Data

Data is fundamentally changing the nature of businesses and organisations, and the mechanisms for delivering products and services. This book is a practical guide to developing strategy and policy for data governance, in line with the developing ISO 38505 governance of data standards. It will assist an organisation wanting to become more of a data driven business by explaining how to assess the value, risks and constraints associated with collecting, using and distributing data.

Getting in Front on Data

Getting in Front on Data
  • Author : Thomas C. Redman, Ph.D.
  • Publisher : Technics Publications
  • Release : 12 September 2016
GET THIS BOOKGetting in Front on Data

This is the single best book ever written on data quality. Clear, concise, and actionable. We all want to leverage our data resources to drive growth, but we too often ignore the fundamentals of data quality, which almost always inhibits our success. Tom lays out a clear path for each organization to holistically improve not only its data quality, but more importantly the performance of its business as a whole. —Jeffrey G. McMillan, Chief Analytics and Data Officer, Morgan Stanley

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

Aligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes
  • Author : Chuck Ballard,Trey Anderson,Dr. Lawrence Dubov,Alex Eastman,Jay Limburn,Umasuthan Ramakrishnan,IBM Redbooks
  • Publisher : IBM Redbooks
  • Release : 08 March 2013
GET THIS BOOKAligning MDM and BPM for Master Data Governance, Stewardship, and Enterprise Processes

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

Data Governance

Data Governance
  • Author : Harkish Sen
  • Publisher : Technics Publications
  • Release : 02 January 2019
GET THIS BOOKData Governance

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,

Enterprise Data Governance

Enterprise Data Governance
  • Author : Pierre Bonnet
  • Publisher : John Wiley & Sons
  • Release : 04 March 2013
GET THIS BOOKEnterprise Data Governance

In an increasingly digital economy, mastering the quality of data is an increasingly vital yet still, in most organizations, a considerable task. The necessity of better governance and reinforcement of international rules and regulatory or oversight structures (Sarbanes Oxley, Basel II, Solvency II, IAS-IFRS, etc.) imposes on enterprises the need for greater transparency and better traceability of their data. All the stakeholders in a company have a role to play and great benefit to derive from the overall goals here,

DAMA-DMBOK

DAMA-DMBOK
  • Author : Dama International
  • Publisher : Unknown Publisher
  • Release : 20 May 2022
GET THIS BOOKDAMA-DMBOK

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