Mastering Data Security And Governance
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| Author | : Cybellium Ltd |
| Publisher | : Cybellium Ltd |
| Total Pages | : 228 |
| Release | : |
| Genre | : Computers |
| ISBN | : |
A Blueprint for Safeguarding Data in a Connected World In an era where data breaches and privacy concerns make headlines, the importance of robust data security and effective governance cannot be overstated. "Mastering Data Security and Governance" serves as your comprehensive guide to understanding and implementing strategies that protect sensitive information while ensuring compliance and accountability in today's interconnected landscape. About the Book: In a world where data is a valuable currency, organizations must prioritize data security and governance to build trust with their customers, partners, and stakeholders. "Mastering Data Security and Governance" delves into the critical concepts, practices, and technologies required to establish a resilient data protection framework while maintaining transparency and adhering to regulatory requirements. Key Features: Security Fundamentals: Lay the foundation with a clear explanation of data security principles, including encryption, access controls, authentication, and more. Understand the threats and vulnerabilities that can compromise data integrity and confidentiality. Governance Frameworks: Explore the intricacies of data governance, including data ownership, classification, and policies. Learn how to establish a governance framework that fosters responsible data management and usage. Compliance and Regulations: Navigate the complex landscape of data regulations and compliance standards, such as GDPR, HIPAA, and CCPA. Discover strategies for aligning your data practices with legal requirements. Risk Management: Learn how to assess and mitigate risks related to data breaches, cyberattacks, and unauthorized access. Develop incident response plans to minimize the impact of security incidents. Data Privacy: Dive into the realm of data privacy, understanding the rights of individuals over their personal information. Explore techniques for anonymization, pseudonymization, and ensuring consent-based data processing. Cloud Security: Explore the unique challenges and solutions for securing data in cloud environments. Understand how to leverage cloud security services and best practices to protect your data. Identity and Access Management: Delve into identity management systems, role-based access controls, and multi-factor authentication to ensure only authorized users have access to sensitive data. Emerging Technologies: Stay ahead of the curve by exploring how AI, blockchain, and other emerging technologies are impacting data security and governance. Understand their potential benefits and challenges. Why This Book Matters: As the digital landscape expands, so do the risks associated with data breaches and mismanagement. "Mastering Data Security and Governance" empowers businesses, IT professionals, and security practitioners to fortify their defenses against data threats, establish transparent governance practices, and navigate the evolving regulatory landscape. Secure Your Data Future: Data is the lifeblood of the digital age, and its security and responsible management are paramount. "Mastering Data Security and Governance" equips you with the knowledge and tools needed to build a robust security posture and establish effective governance, ensuring that your data remains safe, compliant, and trustworthy in an increasingly interconnected world. Your journey to safeguarding valuable data begins here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
| Author | : Alex Berson |
| Publisher | : McGraw Hill Professional |
| Total Pages | : 537 |
| Release | : 2010-12-06 |
| Genre | : Computers |
| ISBN | : 0071744592 |
The latest techniques for building a customer-focused enterprise environment "The authors have appreciated that MDM is a complex multidimensional area, and have set out to cover each of these dimensions in sufficient detail to provide adequate practical guidance to anyone implementing MDM. While this necessarily makes the book rather long, it means that the authors achieve a comprehensive treatment of MDM that is lacking in previous works." -- Malcolm Chisholm, Ph.D., President, AskGet.com Consulting, Inc. Regain control of your master data and maintain a master-entity-centric enterprise data framework using the detailed information in this authoritative guide. Master Data Management and Data Governance, Second Edition provides up-to-date coverage of the most current architecture and technology views and system development and management methods. Discover how to construct an MDM business case and roadmap, build accurate models, deploy data hubs, and implement layered security policies. Legacy system integration, cross-industry challenges, and regulatory compliance are also covered in this comprehensive volume. Plan and implement enterprise-scale MDM and Data Governance solutions Develop master data model Identify, match, and link master records for various domains through entity resolution Improve efficiency and maximize integration using SOA and Web services Ensure compliance with local, state, federal, and international regulations Handle security using authentication, authorization, roles, entitlements, and encryption Defend against identity theft, data compromise, spyware attack, and worm infection Synchronize components and test data quality and system performance
| Author | : Robert S. Seiner |
| Publisher | : Technics Publications |
| Total Pages | : 147 |
| Release | : 2014-09-01 |
| Genre | : Computers |
| ISBN | : 1634620453 |
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.
| Author | : Allen Dreibelbis |
| Publisher | : Pearson Education |
| Total Pages | : 833 |
| Release | : 2008-06-05 |
| Genre | : Business & Economics |
| ISBN | : 0132704277 |
The Only Complete Technical Primer for MDM Planners, Architects, and Implementers Companies moving toward flexible SOA architectures often face difficult information management and integration challenges. The master data they rely on is often stored and managed in ways that are redundant, inconsistent, inaccessible, non-standardized, and poorly governed. Using Master Data Management (MDM), organizations can regain control of their master data, improve corresponding business processes, and maximize its value in SOA environments. Enterprise Master Data Management provides an authoritative, vendor-independent MDM technical reference for practitioners: architects, technical analysts, consultants, solution designers, and senior IT decisionmakers. Written by the IBM ® data management innovators who are pioneering MDM, this book systematically introduces MDM’s key concepts and technical themes, explains its business case, and illuminates how it interrelates with and enables SOA. Drawing on their experience with cutting-edge projects, the authors introduce MDM patterns, blueprints, solutions, and best practices published nowhere else—everything you need to establish a consistent, manageable set of master data, and use it for competitive advantage. Coverage includes How MDM and SOA complement each other Using the MDM Reference Architecture to position and design MDM solutions within an enterprise Assessing the value and risks to master data and applying the right security controls Using PIM-MDM and CDI-MDM Solution Blueprints to address industry-specific information management challenges Explaining MDM patterns as enablers to accelerate consistent MDM deployments Incorporating MDM solutions into existing IT landscapes via MDM Integration Blueprints Leveraging master data as an enterprise asset—bringing people, processes, and technology together with MDM and data governance Best practices in MDM deployment, including data warehouse and SAP integration
| Author | : Pierre Bonnet |
| Publisher | : John Wiley & Sons |
| Total Pages | : 264 |
| Release | : 2013-03-04 |
| Genre | : Computers |
| ISBN | : 1118622537 |
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, but will invariably turn towards their IT department in search of the answers. However, the majority of IT systems that have been developed within businesses are overly complex, badly adapted, and in many cases obsolete; these systems have often become a source of data or process fragility for the business. It is in this context that the management of ‘reference and master data’ or Master Data Management (MDM) and semantic modeling can intervene in order to straighten out the management of data in a forward-looking and sustainable manner. This book shows how company executives and IT managers can take these new challenges, as well as the advantages of using reference and master data management, into account in answering questions such as: Which data governance functions are available? How can IT be better aligned with business regulations? What is the return on investment? How can we assess intangible IT assets and data? What are the principles of semantic modeling? What is the MDM technical architecture? In these ways they will be better able to deliver on their responsibilities to their organizations, and position them for growth and robust data management and integrity in the future.
| Author | : Steve Sarsfield |
| Publisher | : IT Governance Publishing |
| Total Pages | : 162 |
| Release | : 2009-04-23 |
| Genre | : Business & Economics |
| ISBN | : 1849280134 |
This practical book covers both strategies and tactics around managing a data governance initiative to help make the most of your data.
| Author | : Mark Allen |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 244 |
| Release | : 2015-03-21 |
| Genre | : Computers |
| ISBN | : 0128011475 |
Multi-Domain Master Data Management delivers practical guidance and specific instruction to help guide planners and practitioners through the challenges of a multi-domain master data management (MDM) implementation. Authors Mark Allen and Dalton Cervo bring their expertise to you in the only reference you need to help your organization take master data management to the next level by incorporating it across multiple domains. Written in a business friendly style with sufficient program planning guidance, this book covers a comprehensive set of topics and advanced strategies centered on the key MDM disciplines of Data Governance, Data Stewardship, Data Quality Management, Metadata Management, and Data Integration. - Provides a logical order toward planning, implementation, and ongoing management of multi-domain MDM from a program manager and data steward perspective. - Provides detailed guidance, examples and illustrations for MDM practitioners to apply these insights to their strategies, plans, and processes. - Covers advanced MDM strategy and instruction aimed at improving data quality management, lowering data maintenance costs, and reducing corporate risks by applying consistent enterprise-wide practices for the management and control of master data.
| Author | : David Loshin |
| Publisher | : Morgan Kaufmann |
| Total Pages | : 301 |
| Release | : 2010-07-28 |
| Genre | : Computers |
| ISBN | : 0080921213 |
The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect.Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM—an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you'll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness. - Presents a comprehensive roadmap that you can adapt to any MDM project - Emphasizes the critical goal of maintaining and improving data quality - Provides guidelines for determining which data to "master. - Examines special issues relating to master data metadata - Considers a range of MDM architectural styles - Covers the synchronization of master data across the application infrastructure
| Author | : Dama International |
| Publisher | : |
| Total Pages | : 628 |
| Release | : 2017 |
| Genre | : Database management |
| ISBN | : 9781634622349 |
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.
| Author | : Dalton Cervo |
| Publisher | : John Wiley & Sons |
| Total Pages | : 272 |
| Release | : 2011-05-25 |
| Genre | : Business & Economics |
| ISBN | : 111808568X |
In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.
