A Primer in Financial Data Management Book

A Primer in Financial Data Management

  • Author : Martijn Groot
  • Publisher : Academic Press
  • Release Date : 2017-05-10
  • Genre: Technology & Engineering
  • Pages : 306
  • ISBN 10 : 9780128099001

A Primer in Financial Data Management Excerpt :

A Primer in Financial Data Management describes concepts and methods, considering financial data management, not as a technological challenge, but as a key asset that underpins effective business management. This broad survey of data management in financial services discusses the data and process needs from the business user, client and regulatory perspectives. Its non-technical descriptions and insights can be used by readers with diverse interests across the financial services industry. The need has never been greater for skills, systems, and methodologies to manage information in financial markets. The volume of data, the diversity of sources, and the power of the tools to process it massively increased. Demands from business, customers, and regulators on transparency, safety, and above all, timely availability of high quality information for decision-making and reporting have grown in tandem, making this book a must read for those working in, or interested in, financial management. Focuses on ways information management can fuel financial institutions’ processes, including regulatory reporting, trade lifecycle management, and customer interaction Covers recent regulatory and technological developments and their implications for optimal financial information management Views data management from a supply chain perspective and discusses challenges and opportunities, including big data technologies and regulatory scrutiny

A Primer on Business Analytics Book

A Primer on Business Analytics

  • Author : Yudhvir Seetharam
  • Publisher : IAP
  • Release Date : 2022-01-01
  • Genre: Computers
  • Pages : 155
  • ISBN 10 : 9781648028205

A Primer on Business Analytics Excerpt :

This book will provide a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. Business analytics, in the context of the 4th Industrial Revolution, is the “new normal” for businesses that operate in this digital age. This book provides a comprehensive primer and overview of the field (and related fields such as Business Intelligence and Data Science). It will discuss the field as it applies to financial institutions, with some minor departures to other industries. Readers will gain understanding and insight into the field of data science, including traditional as well as emerging techniques. Further, many chapters are dedicated to the establishment of a data-driven team – from executive buy-in and corporate governance to managing and quantifying the return of data-driven projects.

A Primer for Financial Engineering Book

A Primer for Financial Engineering

  • Author : Ali N. Akansu
  • Publisher : Academic Press
  • Release Date : 2015-03-25
  • Genre: Technology & Engineering
  • Pages : 156
  • ISBN 10 : 9780128017500

A Primer for Financial Engineering Excerpt :

This book bridges the fields of finance, mathematical finance and engineering, and is suitable for engineers and computer scientists who are looking to apply engineering principles to financial markets. The book builds from the fundamentals, with the help of simple examples, clearly explaining the concepts to the level needed by an engineer, while showing their practical significance. Topics covered include an in depth examination of market microstructure and trading, a detailed explanation of High Frequency Trading and the 2010 Flash Crash, risk analysis and management, popular trading strategies and their characteristics, and High Performance DSP and Financial Computing. The book has many examples to explain financial concepts, and the presentation is enhanced with the visual representation of relevant market data. It provides relevant MATLAB codes for readers to further their study. Please visit the companion website on http://booksite.elsevier.com/9780128015612/ Provides engineering perspective to financial problems In depth coverage of market microstructure Detailed explanation of High Frequency Trading and 2010 Flash Crash Explores risk analysis and management Covers high performance DSP & financial computing

Data Governance and Compliance Book

Data Governance and Compliance

  • Author : Rupa Mahanti
  • Publisher : Springer Nature
  • Release Date : 2021-04-27
  • Genre: Business & Economics
  • Pages : 193
  • ISBN 10 : 9789813368774

Data Governance and Compliance Excerpt :

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.

Data Governance Success Book

Data Governance Success

  • Author : Rupa Mahanti
  • Publisher : Springer Nature
  • Release Date : 2021
  • Genre: Business information services
  • Pages : 237
  • ISBN 10 : 9789811650864

Data Governance Success Excerpt :

While good data is an enterprise asset, bad data is an enterprise liability. Data governance enables you to effectively and proactively manage data assets throughout the enterprise by providing guidance in the form of policies, standards, processes and rules and defining roles and responsibilities outlining who will do what, with respect to data. While implementing data governance is not rocket science, it is not a simple exercise. There is a lot confusion around what data governance is, and a lot of challenges in the implementation of data governance. Data governance is not a project or a one-off exercise but a journey that involves a significant amount of effort, time and investment and cultural change and a number of factors to take into consideration to achieve and sustain data governance success. Data Governance Success: Growing and Sustaining Data Governance is the third and final book in the Data Governance series and discusses the following: Data governance perceptions and challenges Key considerations when implementing data governance to achieve and sustain success Strategy and data governance Different data governance maturity frameworks Data governance people and process elements Data governance metrics This book shares the combined knowledge related to data and data governance that the author has gained over the years of working in different industrial and research programs and projects associated with data, processes, and technologies and unique perspectives of Thought Leaders and Data Experts through Interviews conducted. This book will be highly beneficial for IT students, academicians, information management and business professionals and researchers to enhance their knowledge to support and succeed in data governance implementations. This book is technology agnostic and contains a balance of concepts and examples and illustrations making it easy for the readers to understand and relate to their own specific data projects.

Catalog of Copyright Entries  Third Series Book
Score: 5
From 1 Ratings

Catalog of Copyright Entries Third Series

  • Author : Library of Congress. Copyright Office
  • Publisher : Copyright Office, Library of Congress
  • Release Date : 1975
  • Genre: Copyright
  • Pages : 1760
  • ISBN 10 : STANFORD:36105119498728

Catalog of Copyright Entries Third Series Excerpt :



  • Author : Alex Berson
  • Publisher : McGraw Hill Professional
  • Release Date : 2010-12-06
  • Genre: Computers
  • Pages : 512
  • ISBN 10 : 9780071744591


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

Data Management Book

Data Management

  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 1985
  • Genre: Business
  • Pages : null
  • ISBN 10 : UOM:39015029583070

Data Management Excerpt :

Federal Information Sources and Systems Book

Federal Information Sources and Systems

  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 1984
  • Genre: Administrative agencies
  • Pages : null
  • ISBN 10 : UIUC:30112075623410

Federal Information Sources and Systems Excerpt :

Includes subject, agency, and budget indexes.

Managing Data in Motion Book

Managing Data in Motion

  • Author : April Reeve
  • Publisher : Newnes
  • Release Date : 2013-02-26
  • Genre: Computers
  • Pages : 204
  • ISBN 10 : 9780123977915

Managing Data in Motion Excerpt :

Managing Data in Motion describes techniques that have been developed for significantly reducing the complexity of managing system interfaces and enabling scalable architectures. Author April Reeve brings over two decades of experience to present a vendor-neutral approach to moving data between computing environments and systems. Readers will learn the techniques, technologies, and best practices for managing the passage of data between computer systems and integrating disparate data together in an enterprise environment. The average enterprise's computing environment is comprised of hundreds to thousands computer systems that have been built, purchased, and acquired over time. The data from these various systems needs to be integrated for reporting and analysis, shared for business transaction processing, and converted from one format to another when old systems are replaced and new systems are acquired. The management of the "data in motion" in organizations is rapidly becoming one of the biggest concerns for business and IT management. Data warehousing and conversion, real-time data integration, and cloud and "big data" applications are just a few of the challenges facing organizations and businesses today. Managing Data in Motion tackles these and other topics in a style easily understood by business and IT managers as well as programmers and architects. Presents a vendor-neutral overview of the different technologies and techniques for moving data between computer systems including the emerging solutions for unstructured as well as structured data types Explains, in non-technical terms, the architecture and components required to perform data integration Describes how to reduce the complexity of managing system interfaces and enable a scalable data architecture that can handle the dimensions of "Big Data"

Security Analysis and Portfolio Management Book

Security Analysis and Portfolio Management

  • Author : Shveta Singh
  • Publisher : Springer Nature
  • Release Date : 2021-11-06
  • Genre: Business & Economics
  • Pages : 377
  • ISBN 10 : 9789811625206

Security Analysis and Portfolio Management Excerpt :

This book is a simple and concise text on the subject of security analysis and portfolio management. It is targeted towards those who do not have prior background in finance, and hence the text veers away from rather complicated formulations and discussions. The course ‘Security Analysis and Portfolio Management’ is usually taught as an elective for students specialising in financial management, and the authors have an experience of teaching this course for more than two decades. The book contains real empirical evidence and examples in terms of returns, risk and price multiples from the Indian equity markets (over the past two decades) that are a result of the analysis undertaken by the authors themselves. This empirical evidence and analysis help the reader in understanding basic concepts through real data of the Indian stock market. To drive home concepts, each chapter has many illustrations and case-lets citing real-life examples and sections called ‘points to ponder’ to encourage independent thinking and critical examination. For practice, each chapter has many numericals, questions, and assignments

Unlocking Financial Data Book

Unlocking Financial Data

  • Author : Justin Pauley
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2017-10-06
  • Genre: Business & Economics
  • Pages : 318
  • ISBN 10 : 9781491973202

Unlocking Financial Data Excerpt :

Investors recognize that technology is a powerful tool for obtaining and interpreting financial data that could give them the one thing everyone on Wall Street wants: an edge. Yet, many don’t realize that you don’t need to be a programmer to access behind-the-scenes financial information from Bloomberg, IHS Markit, or other systems found at most banks and investment firms. This practical guide teaches analysts a useful subset of Excel skills that will enable them to access and interpret financial information—without any prior programming experience. This book will show analysts, step-by-step, how to quickly produce professional reports that combine their views with Bloomberg or Markit data including historical financials, comparative analysis, and relative value. For portfolio managers, this book demonstrates how to create professional summary reports that contain a high-level view of a portfolio’s performance, growth, risk-adjusted return, and composition. If you are a programmer, this book also contains a parallel path that covers the same topics using C#. Topics include: Access additional data that isn’t visible on Bloomberg screens Create tables containing corporate data that makes it possible to compare multiple companies, bonds, or loans side-by- side Build one-page analytic (“Tear Sheet”) reports for individual companies that incorporates important financials, custom notes, relative value comparison of the company to its peers, and price trends with research analyst targets Build two-page portfolio summary report that contains a high-level view of the portfolio’s performance, growth, risk-adjusted return, and composition Explore daily prices and facility information for most of the tradable corporate bond and loan market Determine the relationship between two securities (or index) using correlation and regression Compare each security’s performance to a cohort made of up of securities with similar risk and return characteristics Measure port

Data Management for Libraries Book

Data Management for Libraries

  • Author : Laura Krier
  • Publisher : American Library Association
  • Release Date : 2014
  • Genre: Computers
  • Pages : 112
  • ISBN 10 : 9781555709693

Data Management for Libraries Excerpt :

Since the National Science Foundation joined the National Institutes of Health in requiring that grant proposals include a data management plan, academic librarians have been inundated with related requests from faculty and campus-based grant consulting offices. Data management is a new service area for many library staff, requiring careful planning and implementation. This guide offers a start-to-finish primer on understanding, building, and maintaining a data management service, showing another way the academic library can be invaluable to researchers. Krier and Strasser of the California Digital Library guide readers through every step of a data management plan by Offering convincing arguments to persuade researchers to create a data management plan, with advice on collaborating with them Laying out all the foundations of starting a service, complete with sample data librarian job descriptions and data management plans Providing tips for conducting successful data management interviews Leading readers through making decisions about repositories and other infrastructure Addressing sensitive questions such as ownership, intellectual property, sharing and access, metadata, and preservation This LITA guide will help academic librarians work with researchers, faculty, and other stakeholders to effectively organize, preserve, and provide access to research data.