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Financial Data Quality Management
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Book Synopsis A Primer in Financial Data Management by : Martijn Groot
Download or read book A Primer in Financial Data Management written by Martijn Groot and published by Academic Press. This book was released on 2017-05-10 with total page 302 pages. Available in PDF, EPUB and Kindle. Book 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
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
Book Synopsis Oracle Hyperion Financial Management Tips And Techniques by : Peter Fugere
Download or read book Oracle Hyperion Financial Management Tips And Techniques written by Peter Fugere and published by McGraw Hill Professional. This book was released on 2011-10-22 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Oracle Hyperion Financial Management Consolidate financial data and maintain a scalable compliance framework with expert instruction from an Oracle ACE. Oracle Hyperion Financial Management Tips & Techniques provides advanced, time-saving procedures not documented in user manuals or help files. Find out how to configure Oracle Hyperion Financial Management, import and reconcile data, deliver dynamic business reports, and automate administrative tasks. Stragegies for supporting, testing, and tuning your application are also covered in this comprehensive Oracle Press guide. Establish objectives and develop an effective rollout plan Set up and customize Oracle Hyperion Financial Management Create rules using VBScript and the Calculation Manager feature of Oracle Hyperion Foundation Services Load, test, and reconcile your data with Oracle Data Integrator and Oracle Hyperion Financial Data Quality Management Design, update, and distribute Web-based business reports Integrate content from Microsoft Excel, Word, and PowerPoint using SmartView Work with the Lifecycle Management feature of Oracle Hyperion Foundation Services Identify and resolve performance, design, and capacity problems
Book Synopsis Managing Data Integrity for Finance by : Jane Sarah Lat
Download or read book Managing Data Integrity for Finance written by Jane Sarah Lat and published by Packt Publishing Ltd. This book was released on 2024-01-31 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Level up your career by learning best practices for managing the data quality and integrity of your financial data Key Features Accelerate data integrity management using artificial intelligence-powered solutions Learn how business intelligence tools, ledger databases, and database locks solve data integrity issues Find out how to detect fraudulent transactions affecting financial report integrity Book DescriptionData integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations. The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases. After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.What you will learn Develop a customized financial data quality scorecard Utilize business intelligence tools to detect, manage, and resolve data integrity issues Find out how to use managed cloud-based ledger databases for financial data integrity Apply database locking techniques to prevent transaction integrity issues involving finance data Discover the methods to detect fraudulent transactions affecting financial report integrity Use artificial intelligence-powered solutions to resolve various data integrity issues and challenges Who this book is for This book is for financial analysts, technical leaders, and data professionals interested in learning practical strategies for managing data integrity and data quality using relevant frameworks and tools. A basic understanding of finance concepts, accounting, and data analysis is expected. Knowledge of finance management is not a prerequisite, but it’ll help you grasp the more advanced topics covered in this book.
Book Synopsis Information Quality Management by : Latif Al-Hakim
Download or read book Information Quality Management written by Latif Al-Hakim and published by IGI Global. This book was released on 2007-01-01 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies such as the Internet and mobile commerce bring with them ubiquitous connectivity, real-time access, and overwhelming volumes of data and information. The growth of data warehouses and communication and information technologies has increased the need for high information quality management in organizations. Information Quality Management: Theory and Applications provides solutions to information quality problems becoming increasingly prevalent.Information Quality Management: Theory and Applications provides insights and support for professionals and researchers working in the field of information and knowledge management, information quality, practitioners and managers of manufacturing, and service industries concerned with the management of information.
Download or read book Data Quality written by Thomas C. Redman and published by Digital Press. This book was released on 2001 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can any subject inspire less excitement than "data quality"? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality. Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, describes the most important data quality problems facing the typical organization, and outlines what an organization must do to improve. It consists of 36 short chapters in an easy-to-use field guide format. Each chapter describes a single issue and how to address it. The book begins with sections that describe why leaders, whether CIOs, CFOs, or CEOs, should be concerned with data quality. It explains the pros and cons of approaches for addressing the issue. It explains what those organizations with the best data do. And it lays bare the social issues that prevent organizations from making headway. "Field tips" at the end of each chapter summarize the most important points. Allows readers to go directly to the topic of interest Provides web-based material so readers can cut and paste figures and tables into documents within their organizations Gives step-by-step instructions for applying most techniques and summarizes what "works"
Book Synopsis Handbook of Financial Data and Risk Information II by : Margarita S. Brose
Download or read book Handbook of Financial Data and Risk Information II written by Margarita S. Brose and published by Cambridge University Press. This book was released on 2014-01-09 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive resource for understanding the issues involved in collecting, measuring and managing data in the financial services industry.
Book Synopsis Enterprise Knowledge Management by : David Loshin
Download or read book Enterprise Knowledge Management written by David Loshin and published by Morgan Kaufmann. This book was released on 2001 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a methodology for defining, measuring and improving data quality. It lays out an economic framework for understanding the value of data quality, then outlines data quality rules and domain- and mapping-based approaches to consolidating enterprise knowledge.
Book Synopsis Look Smarter Than You Are with Essbase 11. 1. 2 by : Edward Roske
Download or read book Look Smarter Than You Are with Essbase 11. 1. 2 written by Edward Roske and published by Lulu.com. This book was released on 2015-04-03 with total page 614 pages. Available in PDF, EPUB and Kindle. Book excerpt: Essbase is everywhere these days. To survive and be productive in the business world, you need to take control of Essbase. If you don't have time (and money in the budget) to go to a class, if you just want to learn at your own pace, or if you want the information not covered in classes, this book will show you the way. Whether you're a new admin building new applications or existing admin looking to learn about ASO, hybrid aggregation databases, or design and optimization best practices, this book will help you become a master of Essbase (fellow workers will look at you in sheer, dumbstruck awe). You will learn to: Use the basics of the Smart View Add-in to retrieve and analyze data Build aggregate storage option, block storage option, and hybrid aggregation databases Tune and optimize aggregate storage option, block storage option, and hybrid aggregation databases Administer Essbase databases Take advantage of all the new Essbase features including version 11.1.2.
Author :United States. Congress. House. Committee on Government Reform. Subcommittee on Government Management, Finance, and Accountability Publisher : ISBN 13 : Total Pages :64 pages Book Rating :4.:/5 (327 download)
Book Synopsis Financial Management Challenges at the Department of Justice by : United States. Congress. House. Committee on Government Reform. Subcommittee on Government Management, Finance, and Accountability
Download or read book Financial Management Challenges at the Department of Justice written by United States. Congress. House. Committee on Government Reform. Subcommittee on Government Management, Finance, and Accountability and published by . This book was released on 2005 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Information Quality and Governance for Business Intelligence by : Yeoh, William
Download or read book Information Quality and Governance for Business Intelligence written by Yeoh, William and published by IGI Global. This book was released on 2013-12-31 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Business intelligence initiatives have been dominating the technology priority list of many organizations. However, the lack of effective information quality and governance strategies and policies has been meeting these initiatives with some challenges. Information Quality and Governance for Business Intelligence presents the latest exchange of academic research on all aspects of practicing and managing information using a multidisciplinary approach that examines its quality for organizational growth. This book is an essential reference tool for researchers, practitioners, and university students specializing in business intelligence, information quality, and information systems.
Book Synopsis Big Data, Cloud and Applications by : Youness Tabii
Download or read book Big Data, Cloud and Applications written by Youness Tabii and published by Springer. This book was released on 2018-08-13 with total page 561 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed proceedings of the Third International Conference on Big Data, Cloud and Applications, BDCA 2018, held in Kenitra, Morocco, in April 2018.The 45 revised full papers presented in this book were carefully selected from 99 submissions with a thorough double-blind review process. They focus on the following topics: big data, cloud computing, machine learning, deep learning, data analysis, neural networks, information system and social media, image processing and applications, and natural language processing.
Book Synopsis Look Smarter Than You Are with Hyperion Planning 11.1.2: An End User's Guide by : Edward Roske
Download or read book Look Smarter Than You Are with Hyperion Planning 11.1.2: An End User's Guide written by Edward Roske and published by Lulu.com. This book was released on 2013-04-25 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: "How Can I Use Oracle Hyperion Planning to plan, budget and forecast?" Oracle Hyperion Planning is the market leading budgeting and forecasting solution that provides powerful planning capabilities over the web and in Microsoft Excel. You want to plan faster and more accurately and you are sure Oracle Hyperion Planning is the answer. This book is your key to unlocking the world of Planning from an end user perspective, guiding you through the ins and outs of Planning on your quest to a better budgeting and forecasting process which in turn leads to better enterprise performance. You will learn: - What is Oracle Hyperion Planning and how to connect - All of the Planning end user features like supporting detail, comments, document attachments, adjusting, grid spreader and more - How to plan and build models in Microsoft Excel with Smart View - How to perform adhoc analysis over the web and in Excel - Steps to review and approve budgets through the approval process - What's new in 11.1.2.2 and 11.1.2.3
Book Synopsis Look Smarter Than You Are with Hyperion Planning: an Administrator's Guide by : Edward Roske
Download or read book Look Smarter Than You Are with Hyperion Planning: an Administrator's Guide written by Edward Roske and published by Lulu.com. This book was released on 2010-07-12 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oracle Hyperion Planning is the market leading budgeting and forecasting solution that provides powerful planning capabilities over the web and in Microsoft Excel. You want to plan faster and more accurately and you are sure Oracle Hyperion Planning is the answer. This book is your key to unlocking the world of Planning from an administrator perspective, guiding you through the ins and outs of Planning on your quest for improved budgeting and forecasting.You will learn:'¢What is Oracle Hyperion Planning and how to connect'¢How to plan over the web'¢How to build a Planning application from start to finish'¢The steps to manage and administer Planning applications'¢Tips, tricks, and design best practices for Planning and its underlying Essbase databases
Book Synopsis The CIO's Guide to Oracle Products and Solutions by : Jessica Keyes
Download or read book The CIO's Guide to Oracle Products and Solutions written by Jessica Keyes and published by CRC Press. This book was released on 2014-09-02 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: From operating systems to the cloud, Oracle's products and services are everywhere, and it has the market share to prove it. Given the share diversity of the Oracle product line, and the level of complexity of integration, management can be quite a daunting task.The CIO's Guide to Oracle Products and Solutions is the go-to guide for all things Orac
Book Synopsis Executing Data Quality Projects by : Danette McGilvray
Download or read book Executing Data Quality Projects written by Danette McGilvray and published by Academic Press. This book was released on 2021-05-27 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online
Book Synopsis Enterprise Data at Huawei by : Yun Ma
Download or read book Enterprise Data at Huawei written by Yun Ma and published by Springer Nature. This book was released on 2021-11-22 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book systematically introduces the data governance and digital transformation at Huawei, from the perspectives of technology, process, management, and so on. Huawei is a large global enterprise engaging in multiple types of business in over 170 countries and regions. Its differentiated operation is supported by an enterprise data foundation and corresponding data governance methods. With valuable experience, methodology, standards, solutions, and case studies on data governance and digital transformation, enterprise data at Huawei is ideal for readers to learn and apply, as well as to get an idea of the digital transformation journey at Huawei. This book is organized into four parts and ten chapters. Based on the understanding of “the cognitive world of machines,” the book proposes the prospects for the future of data governance, as well as the imaginations about AI-based governance, data sovereignty, and building a data ecosystem.
