Data Quality Engineering in Financial Services

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 109813690X
Total Pages : 177 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Data Quality Engineering in Financial Services by : Brian Buzzelli

Download or read book Data Quality Engineering in Financial Services written by Brian Buzzelli and published by "O'Reilly Media, Inc.". This book was released on 2022-10-19 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data quality will either make you or break you in the financial services industry. Missing prices, wrong market values, trading violations, client performance restatements, and incorrect regulatory filings can all lead to harsh penalties, lost clients, and financial disaster. This practical guide provides data analysts, data scientists, and data practitioners in financial services firms with the framework to apply manufacturing principles to financial data management, understand data dimensions, and engineer precise data quality tolerances at the datum level and integrate them into your data processing pipelines. You'll get invaluable advice on how to: Evaluate data dimensions and how they apply to different data types and use cases Determine data quality tolerances for your data quality specification Choose the points along the data processing pipeline where data quality should be assessed and measured Apply tailored data governance frameworks within a business or technical function or across an organization Precisely align data with applications and data processing pipelines And more

Robust Quality

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Publisher : CRC Press
ISBN 13 : 0429877269
Total Pages : 120 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Robust Quality by : Rajesh Jugulum

Download or read book Robust Quality written by Rajesh Jugulum and published by CRC Press. This book was released on 2018-09-03 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Historically, the term quality was used to measure performance in the context of products, processes and systems. With rapid growth in data and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance. This book provides a strong connection between the concepts in data science and process engineering that is necessary to ensure better quality levels and takes you through a systematic approach to measure holistic quality with several case studies. Features: Integrates data science, analytics and process engineering concepts Discusses how to create value by considering data, analytics and processes Examines metrics management technique that will help evaluate performance levels of processes, systems and models, including AI and machine learning approaches Reviews a structured approach for analytics execution

Financial Data Engineering

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098159969
Total Pages : 507 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Financial Data Engineering by : Tamer Khraisha

Download or read book Financial Data Engineering written by Tamer Khraisha and published by "O'Reilly Media, Inc.". This book was released on 2024-10-09 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, investment in financial technology and digital transformation is reshaping the financial landscape and generating many opportunities. Too often, however, engineers and professionals in financial institutions lack a practical and comprehensive understanding of the concepts, problems, techniques, and technologies necessary to build a modern, reliable, and scalable financial data infrastructure. This is where financial data engineering is needed. A data engineer developing a data infrastructure for a financial product possesses not only technical data engineering skills but also a solid understanding of financial domain-specific challenges, methodologies, data ecosystems, providers, formats, technological constraints, identifiers, entities, standards, regulatory requirements, and governance. This book offers a comprehensive, practical, domain-driven approach to financial data engineering, featuring real-world use cases, industry practices, and hands-on projects. You'll learn: The data engineering landscape in the financial sector Specific problems encountered in financial data engineering The structure, players, and particularities of the financial data domain Approaches to designing financial data identification and entity systems Financial data governance frameworks, concepts, and best practices The financial data engineering lifecycle from ingestion to production The varieties and main characteristics of financial data workflows How to build financial data pipelines using open source tools and APIs Tamer Khraisha, PhD, is a senior data engineer and scientific author with more than a decade of experience in the financial sector.

Data Quality Engineering in Financial Services

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Author :
Publisher :
ISBN 13 : 9781098136932
Total Pages : 0 pages
Book Rating : 4.1/5 (369 download)

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Book Synopsis Data Quality Engineering in Financial Services by : Brian Buzzelli

Download or read book Data Quality Engineering in Financial Services written by Brian Buzzelli and published by . This book was released on 2022-11-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quality Money Management

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Publisher : Academic Press
ISBN 13 : 0080559913
Total Pages : 304 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Quality Money Management by : Andrew Kumiega

Download or read book Quality Money Management written by Andrew Kumiega and published by Academic Press. This book was released on 2011-08-29 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: The financial markets industry is at the same crossroads as the automotive industry in the late 1970s. Margins are collapsing and customization is rapidly increasing. The automotive industry turned to quality and its no coincidence that in the money management industry many of the spectacular failures have been due largely to problems in quality control. The financial industry in on the verge of a quality revolution. New and old firms alike are creating new investment vehicles and new strategies that are radically changing the nature of the industry. To compete, mutual funds, hedge fund industries, banks and proprietary trading firms are being forced to quicklyy research, test and implement trade selection and execution systems. And, just as in the early stages of factory automation, quality suffers and leads to defects. Many financial firms fall short of quality, lacking processes and methodologies for proper development and evaluation of trading and investment systems. Authors Kumiega and Van Vliet present a new step-by-step methodology for such development. Their methodology (called K - Presents a robust process engineering framework for developing and evaluating trading and investment systems - Best practices along the step-by-step process will mitigate project risk, model risk, and ensure data quality - Includes a quality model for backtesting and managing market risk of working systems

New Horizons for a Data-Driven Economy

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Publisher : Springer
ISBN 13 : 3319215698
Total Pages : 312 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis New Horizons for a Data-Driven Economy by : José María Cavanillas

Download or read book New Horizons for a Data-Driven Economy written by José María Cavanillas and published by Springer. This book was released on 2016-04-04 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance

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Publisher : International Monetary Fund
ISBN 13 : 1589063953
Total Pages : 35 pages
Book Rating : 4.5/5 (89 download)

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Book Synopsis Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance by : El Bachir Boukherouaa

Download or read book Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance written by El Bachir Boukherouaa and published by International Monetary Fund. This book was released on 2021-10-22 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.

Statistics and Data Analysis for Financial Engineering

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Publisher : Springer
ISBN 13 : 1493926144
Total Pages : 736 pages
Book Rating : 4.4/5 (939 download)

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Book Synopsis Statistics and Data Analysis for Financial Engineering by : David Ruppert

Download or read book Statistics and Data Analysis for Financial Engineering written by David Ruppert and published by Springer. This book was released on 2015-04-21 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial engineering. In doing so, it illustrates concepts using financial markets and economic data, R Labs with real-data exercises, and graphical and analytic methods for modeling and diagnosing modeling errors. These methods are critical because financial engineers now have access to enormous quantities of data. To make use of this data, the powerful methods in this book for working with quantitative information, particularly about volatility and risks, are essential. Strengths of this fully-revised edition include major additions to the R code and the advanced topics covered. Individual chapters cover, among other topics, multivariate distributions, copulas, Bayesian computations, risk management, and cointegration. Suggested prerequisites are basic knowledge of statistics and probability, matrices and linear algebra, and calculus. There is an appendix on probability, statistics and linear algebra. Practicing financial engineers will also find this book of interest.

Annual International Industrial Engineering Conference

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Publisher :
ISBN 13 :
Total Pages : 668 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Annual International Industrial Engineering Conference by :

Download or read book Annual International Industrial Engineering Conference written by and published by . This book was released on 1984 with total page 668 pages. Available in PDF, EPUB and Kindle. Book excerpt:

CRM in Financial Services

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Publisher : Kogan Page Publishers
ISBN 13 : 9780749436964
Total Pages : 724 pages
Book Rating : 4.4/5 (369 download)

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Book Synopsis CRM in Financial Services by : Bryan Foss

Download or read book CRM in Financial Services written by Bryan Foss and published by Kogan Page Publishers. This book was released on 2002 with total page 724 pages. Available in PDF, EPUB and Kindle. Book excerpt: Packed with international case studies and examples, the book begins with a detailed analysis of the state of CRM and e-business in the financial services globally, and then goes on to provide comprehensive and practical guidance on: making the most of your customer base; systems and data management; risk and compliance; channels and value chain issues; implementation; strategic implications.

Amstat News

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Publisher :
ISBN 13 :
Total Pages : 612 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Amstat News by : American Statistical Association

Download or read book Amstat News written by American Statistical Association and published by . This book was released on 2001 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Adventures in Banking

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Publisher :
ISBN 13 :
Total Pages : 26 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Adventures in Banking by : Red Rose Elk

Download or read book Adventures in Banking written by Red Rose Elk and published by . This book was released on 2013 with total page 26 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Empowerment Saga is a series of stories to engage youth 14-18 years of age in developing basic financial skills so they will learn how to build and preserve their own financial wealth. These stories, offered in colorful comic-style graphics, are reservation-based in order to bring "home" to Native youth the message of handling their finances from an early age." --From publisher's description.

Managing Bank Risk

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Publisher : Academic Press
ISBN 13 : 9780122857850
Total Pages : 692 pages
Book Rating : 4.8/5 (578 download)

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Book Synopsis Managing Bank Risk by : Morton Glantz

Download or read book Managing Bank Risk written by Morton Glantz and published by Academic Press. This book was released on 2003 with total page 692 pages. Available in PDF, EPUB and Kindle. Book excerpt: Featuring new credit engineering tools, "Managing Bank Risk" combines innovative analytic methods with traditional credit management processes. Professor Glantz provides print and electronic risk-measuring tools that ensure credits are made in accordance with bank policy and regulatory requirements, giving bankers with the data necessary for judging asset quality and value.

Data Quality for the Information Age

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Author :
Publisher : Artech House Publishers
ISBN 13 :
Total Pages : 344 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Data Quality for the Information Age by : Thomas C. Redman

Download or read book Data Quality for the Information Age written by Thomas C. Redman and published by Artech House Publishers. This book was released on 1996 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: All aspects of data management are explored in this title, which provides detailed analyses of quality problems and their impacts, potential solutions and how they are combined to form an overall data quality program, senior management's role, and methods used to make and sustain improvements.

The Practitioner's Guide to Data Quality Improvement

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Publisher : Elsevier
ISBN 13 : 0080920349
Total Pages : 423 pages
Book Rating : 4.0/5 (89 download)

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Book Synopsis The Practitioner's Guide to Data Quality Improvement by : David Loshin

Download or read book The Practitioner's Guide to Data Quality Improvement written by David Loshin and published by Elsevier. This book was released on 2010-11-22 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. - Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. - Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. - Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.

Codes of Finance

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Publisher : Princeton University Press
ISBN 13 : 1400840465
Total Pages : 305 pages
Book Rating : 4.4/5 (8 download)

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Book Synopsis Codes of Finance by : Vincent Antonin Lépinay

Download or read book Codes of Finance written by Vincent Antonin Lépinay and published by Princeton University Press. This book was released on 2011-08-08 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: A behind-the-scenes account of the derivatives business at a major investment bank The financial industry's invention of complex products such as credit default swaps and other derivatives has been widely blamed for triggering the global financial crisis of 2008. In Codes of Finance, Vincent Antonin Lépinay, a former employee of one of the world’s leading investment banks, takes readers behind the scenes of the equity derivatives business at the bank before the crisis, providing a detailed firsthand account of the creation, marketing, selling, accounting, and management of these financial instruments—and of how they ultimately created havoc inside and outside the bank.

Event- and Data-Centric Enterprise Risk-Adjusted Return Management

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Author :
Publisher : Apress
ISBN 13 : 9781484274392
Total Pages : 1090 pages
Book Rating : 4.2/5 (743 download)

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Book Synopsis Event- and Data-Centric Enterprise Risk-Adjusted Return Management by : Kannan Subramanian R

Download or read book Event- and Data-Centric Enterprise Risk-Adjusted Return Management written by Kannan Subramanian R and published by Apress. This book was released on 2022-01-06 with total page 1090 pages. Available in PDF, EPUB and Kindle. Book excerpt: Take a holistic view of enterprise risk-adjusted return management in banking. This book recommends that a bank transform its siloed operating model into an agile enterprise model. It offers an event-driven, process-based, data-centric approach to help banks plan and implement an enterprise risk-adjusted return model (ERRM), keeping the focus on business events, processes, and a loosely coupled enterprise service architecture. Most banks suffer from a lack of good quality data for risk-adjusted return management. This book provides an enterprise data management methodology that improves data quality by defining and using data ontology and taxonomy. It extends the data narrative with an explanation of the characteristics of risk data, the usage of machine learning, and provides an enterprise knowledge management methodology for risk-return optimization. The book provides numerous examples for process automation, data analytics, event management, knowledge management, and improvements to risk quantification. The book provides guidance on the underlying knowledge areas of banking, enterprise risk management, enterprise architecture, technology, event management, processes, and data science. The first part of the book explains the current state of banking architecture and its limitations. After defining a target model, it explains an approach to determine the "gap" and the second part of the book guides banks on how to implement the enterprise risk-adjusted return model. What You Will Learn Know what causes siloed architecture, and its impact Implement an enterprise risk-adjusted return model (ERRM) Choose enterprise architecture and technology Define a reference enterprise architecture Understand enterprise data management methodology Define and use an enterprise data ontology and taxonomy Create a multi-dimensional enterprise risk data model Understand the relevance of event-driven architecture from business generation and risk management perspectives Implement advanced analytics and knowledge management capabilities Who This Book Is For The global banking community, including: senior management of a bank, such as the Chief Risk Officer, Head of Treasury/Corporate Banking/Retail Banking, Chief Data Officer, and Chief Technology Officer. It is also relevant for banking software vendors, banking consultants, auditors, risk management consultants, banking supervisors, and government finance professionals.