Data Risk
DOWNLOAD
Download Data Risk PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Data Risk book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Data Risk Management Essentials To Implement An Enterprise Control Environment
DOWNLOAD
Author : Tejasvi Addagada
language : en
Publisher: Blue Rose Publishers
Release Date : 2022-07-08
Data Risk Management Essentials To Implement An Enterprise Control Environment written by Tejasvi Addagada and has been published by Blue Rose Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-08 with Education categories.
About the book (in English for listing the book on online portals in 100-150 words): You must hear this often if you manage any kind of risk - risk and value go together. And that's true, of course for data! Both data and its infrastructure must be managed for their benefits and risks. The purpose of the book is to elaborate on this need to formalize data risk management. Today, regulations drive enterprises to assess data related risks. Prioritizing and managing data associated with financial or operational risk has been the corner-stone of most regulations like BCBS, CCAR, GDPR to name a few. Nevertheless, data risks can extend beyond regulations to improve existing control environments in companies. By doing so, we will maximize the potential of data capabilities to reach 100%. Through structural alignment within the board and formalizing a data-risk function, the book focuses on managing data risks. Furthermore, the book explains quantitative and qualitative approaches to data risk assessments along with popular tools and techniques. Also, Tejasvi discusses a proven approach to managing data risks called capability-based assessment. As a technique, this can also be applied to data risk planning and formulating a data risk strategy. Twenty data risks and privacy risks are provided in this book by way of examples. These are accompanied by details such as a risk statements, scenarios, causes, and categories of impact if the data risks are to manifest
The Risk Based Approach To Data Protection
DOWNLOAD
Author : Raphaël Gellert
language : en
Publisher: Oxford University Press, USA
Release Date : 2020-10-06
The Risk Based Approach To Data Protection written by Raphaël Gellert and has been published by Oxford University Press, USA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Law categories.
The concept of a risk-based approach to data protection came to the fore during the overhaul process of the EU's General Data Protection Regulation (GDPR). At its core, it consists of endowing the regulated organizations that process personal data with increased responsibility for complying with data protection mandates. Such increased compliance duties are performed through risk management tools. This book provides a comprehensive analysis of this legal and policy development, which considers a legal, historical, and theoretical perspective. By framing the risk-based approach as a sui generis implementation of a specific regulation model known as meta regulation, this book provides a recollection of the policy developments that led to the adoption of the risk-based approach in light of regulation theory and debates. It also discusses a number of salient issues pertaining to the risk-based approach, such as its rationale, scope, and meaning; the role for regulators; and its potential and limits. The book also looks at they way it has been undertaken in major statutes with a focus on key provisions, such as data protection impact assessments or accountability. Finally, the book devotes considerable attention to the notion of risk. It explains key terms such as risk assessment and management. It discusses in-depth the role of harms in data protection, the meaning of a data protection risk, and the difference between risks and harms. It also critically analyses prevalent data protection risk management methodologies and explains the most important caveats for managing data protection risks.
The Book Of Alternative Data
DOWNLOAD
Author : Alexander Denev
language : en
Publisher: John Wiley & Sons
Release Date : 2020-07-21
The Book Of Alternative Data written by Alexander Denev and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-21 with Business & Economics categories.
The first and only book to systematically address methodologies and processes of leveraging non-traditional information sources in the context of investing and risk management Harnessing non-traditional data sources to generate alpha, analyze markets, and forecast risk is a subject of intense interest for financial professionals. A growing number of regularly-held conferences on alternative data are being established, complemented by an upsurge in new papers on the subject. Alternative data is starting to be steadily incorporated by conventional institutional investors and risk managers throughout the financial world. Methodologies to analyze and extract value from alternative data, guidance on how to source data and integrate data flows within existing systems is currently not treated in literature. Filling this significant gap in knowledge, The Book of Alternative Data is the first and only book to offer a coherent, systematic treatment of the subject. This groundbreaking volume provides readers with a roadmap for navigating the complexities of an array of alternative data sources, and delivers the appropriate techniques to analyze them. The authors—leading experts in financial modeling, machine learning, and quantitative research and analytics—employ a step-by-step approach to guide readers through the dense jungle of generated data. A first-of-its kind treatment of alternative data types, sources, and methodologies, this innovative book: Provides an integrated modeling approach to extract value from multiple types of datasets Treats the processes needed to make alternative data signals operational Helps investors and risk managers rethink how they engage with alternative datasets Features practical use case studies in many different financial markets and real-world techniques Describes how to avoid potential pitfalls and missteps in starting the alternative data journey Explains how to integrate information from different datasets to maximize informational value The Book of Alternative Data is an indispensable resource for anyone wishing to analyze or monetize different non-traditional datasets, including Chief Investment Officers, Chief Risk Officers, risk professionals, investment professionals, traders, economists, and machine learning developers and users.
Data Protection
DOWNLOAD
Author : David G. Hill
language : en
Publisher: CRC Press
Release Date : 2016-04-19
Data Protection written by David G. Hill and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Business & Economics categories.
Failure to appreciate the full dimensions of data protection can lead to poor data protection management, costly resource allocation issues, and exposure to unnecessary risks. Data Protection: Governance, Risk Management, and Compliance explains how to gain a handle on the vital aspects of data protection.The author begins by building the foundatio
Privacy Risk Analysis
DOWNLOAD
Author : Sourya Joyee De
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2016-09-06
Privacy Risk Analysis written by Sourya Joyee De and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-06 with Computers categories.
Privacy Risk Analysis fills a gap in the existing literature by providing an introduction to the basic notions, requirements, and main steps of conducting a privacy risk analysis. The deployment of new information technologies can lead to significant privacy risks and a privacy impact assessment should be conducted before designing a product or system that processes personal data. However, if existing privacy impact assessment frameworks and guidelines provide a good deal of details on organizational aspects (including budget allocation, resource allocation, stakeholder consultation, etc.), they are much vaguer on the technical part, in particular on the actual risk assessment task. For privacy impact assessments to keep up their promises and really play a decisive role in enhancing privacy protection, they should be more precise with regard to these technical aspects. This book is an excellent resource for anyone developing and/or currently running a risk analysis as it defines the notions of personal data, stakeholders, risk sources, feared events, and privacy harms all while showing how these notions are used in the risk analysis process. It includes a running smart grids example to illustrate all the notions discussed in the book.
An Insider S Guide To A Career In Data Risk Management
DOWNLOAD
Author : Sean Steele
language : en
Publisher:
Release Date : 2022-07
An Insider S Guide To A Career In Data Risk Management written by Sean Steele and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07 with categories.
Would you accept not knowing how much money you had in the bank? Or which of your employees has a criminal record? How about not having a handle on your firm's reputational problems, pending lawsuits, aggressive competitors, or looming disasters?Sounds like a terrible idea, right? Who would accept those risks?But that's exactly where we stand with our near-priceless data assets: largely unaware of and almost completely unprepared for the risks we face to our information, every day, from both inside and outside our organizations.It's time we understood, protected, and managed our data -- which is now more valuable than oil or gold -- and its inherent risks -- with the same urgency that we apply to capital risks, human resources risks, competitive risks, and operational risks.In this ground-breaking new book, authors Sean Steele and Ryan Dobbins -- longtime data security consultants to some of the largest data-driven companies -- issue a direct challenge, a call-to-arms, tackling the brave new world of data risk management, and what it means to practitioners, regulators, executives, engineers, policy makers, career changers, consultants, analysts, and students at any stage in their professional journey."The Insider's Guide to a Career in Data Risk Management" is a tour behind the scenes, equal parts historical review, organizational tell-all, and professional how-to for those seeking to build, grow, and deepen their understanding of unstructured data, and its attendant security, governance, privacy, classification, and protection risks and opportunities.The rise of the General Data Protection Regulation (GDPR) in the EU, as well as state-level data privacy and security laws in the US (like CPRA), have put significant weight behind managing ever-evolving data risks to enterprises, public sector entities, consumers, and citizens. Every member of the Board, and every C-Suite executive, from the Chief Information Officer (CIO), to the Data Protection Officer (DPO), the Chief Information Security Officer (CISO), Chief Privacy Officer (CPO), Chief Data Officer (CDO), and Chief Legal Officer (CLO) -- even the CEO and COO -- must be informed, educated, and ready to support a strong, comprehensive data risk management program.
Why Don T We Defend Better
DOWNLOAD
Author : Robert H. Sloan
language : en
Publisher: CRC Press
Release Date : 2019-07-05
Why Don T We Defend Better written by Robert H. Sloan and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-05 with Computers categories.
The wave of data breaches raises two pressing questions: Why don’t we defend our networks better? And, what practical incentives can we create to improve our defenses? Why Don't We Defend Better?: Data Breaches, Risk Management, and Public Policy answers those questions. It distinguishes three technical sources of data breaches corresponding to three types of vulnerabilities: software, human, and network. It discusses two risk management goals: business and consumer. The authors propose mandatory anonymous reporting of information as an essential step toward better defense, as well as a general reporting requirement. They also provide a systematic overview of data breach defense, combining technological and public policy considerations. Features Explains why data breach defense is currently often ineffective Shows how to respond to the increasing frequency of data breaches Combines the issues of technology, business and risk management, and legal liability Discusses the different issues faced by large versus small and medium-sized businesses (SMBs) Provides a practical framework in which public policy issues about data breaches can be effectively addressed
Operational Risk Management
DOWNLOAD
Author : Ron S. Kenett
language : en
Publisher: John Wiley & Sons
Release Date : 2011-06-20
Operational Risk Management written by Ron S. Kenett and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-20 with Business & Economics categories.
Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of "near-misses" data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.
Data Risk
DOWNLOAD
Author : David Stelzl
language : en
Publisher: Bravado Publishing
Release Date : 2009-04
Data Risk written by David Stelzl and has been published by Bravado Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04 with categories.
How Secure are your Digital Assets? Why are so many companies losing data despite the increases in security spending? Why aren't the latest advancements in technology keeping hackers out? Whether you're a CEO, a line of business manager, or work in Information Technology watching over a company's core systems, you create and use digital assets. In most companies, these assets form some of the most important elements of your organization and require special treatment. In this book you'll learn what it means to be: Asset Focused: What does it mean to be asset focused rather than technology focused? See how cyberthieves have developed one of the most lucrative businesses our economy has seen by understanding the value of digital assets. Restrictive with Access: Who should have access to what? How can companies ensure that the right people have the proper levels of access to the information they need, while still maintaining a posture of security? Read how easy it is to gain access to data through departmental users who are just doing their job. Digitally Aware: How do digital assets differ from physical assets? How can managers and end-users approach data in a more secure fashion, while still being able to perform their job functions? Read about government officials who lost their jobs because they weren't aware of digital assets under their watch. Alert verses Lockdown: How can companies balance the need for access with requirements for security? See how a bank's approach to data security changed when they applied the same concepts they use to secure their physical branches. Ready to Respond: Most security fails. So how can companies ensure that their data will not be siphoned off over several months or years, as seen in numerous reports over the past five years? See how my own family met intruders with an effective response plan; one you can't afford not to have. Always Assessing: Most companies I speak with don't see any immediate security problems. What should companies be looking for? Read about a pharmaceutical company that unknowingly exposed over 17,000 employee records over peer to peer networks, and how to prevent this from happening to you. Holistic: How do companies move away from silos of security products to an effective strategy for securing data? Read how your own home security can provide a simple roadmap to effective corporate security. Data@Risk will teach you an asset mindset that will secure your company data against modern attacks.
Adverse Impact Analysis
DOWNLOAD
Author : Scott B. Morris
language : en
Publisher: Psychology Press
Release Date : 2016-12-01
Adverse Impact Analysis written by Scott B. Morris and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-01 with Business & Economics categories.
Compliance with federal equal employment opportunity regulations, including civil rights laws and affirmative action requirements, requires collection and analysis of data on disparities in employment outcomes, often referred to as adverse impact. While most human resources (HR) practitioners are familiar with basic adverse impact analysis, the courts and regulatory agencies are increasingly relying on more sophisticated methods to assess disparities. Employment data are often complicated, and can include a broad array of employment actions (e.g., selection, pay, promotion, termination), as well as data that span multiple protected groups, settings, and points in time. In the era of "big data," the HR analyst often has access to larger and more complex data sets relevant to employment disparities. Consequently, an informed HR practitioner needs a richer understanding of the issues and methods for conducting disparity analyses. This book brings together the diverse literature on disparity analysis, spanning work from statistics, industrial/organizational psychology, human resource management, labor economics, and law, to provide a comprehensive and integrated summary of current best practices in the field. Throughout, the description of methods is grounded in the legal context and current trends in employment litigation and the practices of federal regulatory agencies. The book provides guidance on all phases of disparity analysis, including: How to structure diverse and complex employment data for disparity analysis How to conduct both basic and advanced statistical analyses on employment outcomes related to employee selection, promotion, compensation, termination, and other employment outcomes How to interpret results in terms of both practical and statistical significance Common practical challenges and pitfalls in disparity analysis and strategies to deal with these issues