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A Primer in Financial Data Management

A Primer in Financial Data Management
  • Author : Martijn Groot
  • Publsiher : Academic Press
  • Release : 10 May 2017
  • ISBN : 0128099003
  • Pages : 306 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKA Primer in Financial Data Management

Summary:
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 in Financial Data Management

A Primer in Financial Data Management
  • Author : Martijn Groot
  • Publisher : Academic Press
  • Release : 10 May 2017
GET THIS BOOKA Primer in Financial Data Management

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

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A Primer on Business Analytics

A Primer on Business Analytics
  • Author : Yudhvir Seetharam
  • Publisher : IAP
  • Release : 01 January 2022
GET THIS BOOKA Primer on Business Analytics

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

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Managing Data in Motion

Managing Data in Motion
  • Author : April Reeve
  • Publisher : Newnes
  • Release : 26 February 2013
GET THIS BOOKManaging Data in Motion

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

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Financial Management

Financial Management
  • Author : Stephen Robert Foerster
  • Publisher : W W Norton & Company Incorporated
  • Release : 26 June 2022
GET THIS BOOKFinancial Management

This clever book, by longtime M.B.A. teacher and consultant Stephen R. Roerster, is the answer to every student s and manager s dream. Finally, here is a short and simple text that makes arcane financial data and reports crystal clear for the non-finance specialist. Managers working in the post-Enron, post-WorldCom business world cannot afford to remain fuzzy about the financial environment in which their firms operate. Financial Management eliminates the fuzziness. The best short, readable, yet accurate book

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A Primer for Financial Engineering

A Primer for Financial Engineering
  • Author : Ali N. Akansu,Mustafa U. Torun
  • Publisher : Academic Press
  • Release : 25 March 2015
GET THIS BOOKA Primer for Financial Engineering

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,

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Computational Finance

Computational Finance
  • Author : Argimiro Arratia
  • Publisher : Springer Science & Business Media
  • Release : 08 May 2014
GET THIS BOOKComputational Finance

The book covers a wide range of topics, yet essential, in Computational Finance (CF), understood as a mix of Finance, Computational Statistics, and Mathematics of Finance. In that regard it is unique in its kind, for it touches upon the basic principles of all three main components of CF, with hands-on examples for programming models in R. Thus, the first chapter gives an introduction to the Principles of Corporate Finance: the markets of stock and options, valuation and economic theory,

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Data Governance and Compliance

Data Governance and Compliance
  • Author : Rupa Mahanti
  • Publisher : Springer Nature
  • Release : 27 April 2021
GET THIS BOOKData Governance and Compliance

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,

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Statistical Analysis of Financial Data in R

Statistical Analysis of Financial Data in R
  • Author : René Carmona
  • Publisher : Springer Science & Business Media
  • Release : 13 December 2013
GET THIS BOOKStatistical Analysis of Financial Data in R

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can be used in the solutions of concrete financial problems. Concerns of risk management are addressed by the study of extreme values, the fitting of distributions with heavy tails, the computation of

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Data Architecture: A Primer for the Data Scientist

Data Architecture: A Primer for the Data Scientist
  • Author : W.H. Inmon,Daniel Linstedt,Mary Levins
  • Publisher : Academic Press
  • Release : 30 April 2019
GET THIS BOOKData Architecture: A Primer for the Data Scientist

Over the past 5 years, the concept of big data has matured, data science has grown exponentially, and data architecture has become a standard part of organizational decision-making. Throughout all this change, the basic principles that shape the architecture of data have remained the same. There remains a need for people to take a look at the "bigger picture" and to understand where their data fit into the grand scheme of things. Data Architecture: A Primer for the Data Scientist, Second

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Health Systems Science E-Book

Health Systems Science E-Book
  • Author : Richard E. Hawkins,Luan E Lawson,Stephanie R Starr,Jeffrey Borkan,Jed D Gonzalo
  • Publisher : Elsevier Health Sciences
  • Release : 30 November 2016
GET THIS BOOKHealth Systems Science E-Book

Developed by the American Medical Association’s Accelerating Change in Medical Education Consortium, Health Systems Science is the first text that focuses on providing a fundamental understanding of how health care is delivered, how health care professionals work together to deliver that care, and how the health system can improve patient care and health care delivery. Along with basic and clinical science, Health Systems Science (HSS) is rapidly becoming a crucial "third pillar" of medical science, requiring a practical, standardized

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