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Financial Reporting Analysis Module Reference For Microstrategy 95
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Book Synopsis Financial Reporting Analysis Module Reference for MicroStrategy Analytics Enterprise by : MicroStrategy Product Manuals
Download or read book Financial Reporting Analysis Module Reference for MicroStrategy Analytics Enterprise written by MicroStrategy Product Manuals and published by MicroStrategy, Inc.. This book was released on 2013-10-31 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: A reference for the MicroStrategy Financial Reporting Analysis Module (FRAM), part of the MicroStrategy Analytics Modules that come with MicroStrategy Architect. This guide provides a description, usage scenarios, and screen shots for all the packaged reports for FRAM.
Book Synopsis Financial Reporting Analysis Module Reference for MicroStrategy 9.2.1m by : MicroStrategy Product Manuals
Download or read book Financial Reporting Analysis Module Reference for MicroStrategy 9.2.1m written by MicroStrategy Product Manuals and published by MicroStrategy. This book was released on 2011-12-20 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Financial Statement Analysis by : Martin S. Fridson
Download or read book Financial Statement Analysis written by Martin S. Fridson and published by John Wiley & Sons. This book was released on 2002-10-01 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Financial Statement Analysis A Practitioner's Guide Third Edition "This is an illuminating and insightful tour of financial statements, how they can be used to inform, how they can be used to mislead, and how they can be used to analyze the financial health of a company." -Professor Jay O. Light Harvard Business School "Financial Statement Analysis should be required reading for anyone who puts a dime to work in the securities markets or recommends that others do the same." -Jack L. Rivkin Executive Vice President (retired) Citigroup Investments "Fridson and Alvarez provide a valuable practical guide for understanding, interpreting, and critically assessing financial reports put out by firms. Their discussion of profits-'quality of earnings'-is particularly insightful given the recent spate of reporting problems encountered by firms. I highly recommend their book to anyone interested in getting behind the numbers as a means of predicting future profits and stock prices." -Paul Brown Chair-Department of Accounting Leonard N. Stern School of Business, NYU "Let this book assist in financial awareness and transparency and higher standards of reporting, and accountability to all stakeholders." -Patricia A. Small Treasurer Emeritus, University of California Partner, KCM Investment Advisors "This book is a polished gem covering the analysis of financial statements. It is thorough, skeptical and extremely practical in its review." -Daniel J. Fuss Vice Chairman Loomis, Sayles & Company, LP
Book Synopsis Implementing MicroStrategy by : MicroStrategy University
Download or read book Implementing MicroStrategy written by MicroStrategy University and published by MicroStrategy Inc.. This book was released on 2013-09-03 with total page 377 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Implementing MicroStrategy: Development and Deployment course provides an overview of the stages involved in developing, implementing, and maintaining a business intelligence project. You will first get an intensive, yet high-level overview of the project design and report creation processes, followed by the document and dashboard creation basics. The course also covers deployment to MicroStrategy Web™ and MicroStrategy Mobile™, as well as administration and maintenance of MicroStrategy environment.
Book Synopsis Investment Valuation by : Aswath Damodaran
Download or read book Investment Valuation written by Aswath Damodaran and published by John Wiley & Sons. This book was released on 2002-01-31 with total page 1014 pages. Available in PDF, EPUB and Kindle. Book excerpt: Valuation is a topic that is extensively covered in business degree programs throughout the country. Damodaran's revisions to "Investment Valuation" are an addition to the needs of these programs.
Book Synopsis The Profit Impact of Business Intelligence by : Steve Williams
Download or read book The Profit Impact of Business Intelligence written by Steve Williams and published by Elsevier. This book was released on 2010-07-27 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Profit Impact of Business Intelligence presents an A-to-Z approach for getting the most business intelligence (BI) from a company's data assets or data warehouse. BI is not just a technology or methodology, it is a powerful new management approach that – when done right – can deliver knowledge, efficiency, better decisions, and profit to almost any organization that uses it. When BI first came on the scene, it promised a lot but often failed to deliver. The missing element was the business-centric focus explained in this book. It shows how you can achieve the promise of BI by connecting it to your organization's strategic goals, culture, and strengths while correcting your BI weaknesses. It provides a practical, process-oriented guide to achieve the full promise of BI; shows how world-class companies used BI to become leaders in their industries; helps senior business and IT executives understand the strategic impact of BI and how they can ensure a strong payoff from their BI investments; and identifies the most common mistakes organizations make in implementing BI. The book also includes a helpful glossary of BI terms; a BI readiness assessment for your organization; and Web links and extensive references for more information. - A practical, process-oriented book that will help organizations realize the promise of BI - Written by Nancy and Steve Williams, veteran consultants and instructors with hands-on, "in the trenches" experience in government and corporate business intelligence applications - Will help senior business and IT executives understand the strategic impact of BI and how they can help ensure a strong payoff on BI investments
Book Synopsis Digital Transformation in Accounting by : Richard Busulwa
Download or read book Digital Transformation in Accounting written by Richard Busulwa and published by Routledge. This book was released on 2021-05-30 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital Transformation in Accounting is a critical guidebook for accountancy and digital business students and practitioners to navigate the effects of digital technology advancements, digital disruption, and digital transformation on the accounting profession. Drawing on the latest research, this book: Unpacks dozens of digital technology advancements, explaining what they are and how they could be used to improve accounting practice. Discusses the impact of digital disruption and digital transformation on different accounting functions, roles, and activities. Integrates traditional accounting information systems concepts and contemporary digital business and digital transformation concepts. Includes a rich array of real-world case studies, simulated problems, quizzes, group and individual exercises, as well as supplementary electronic resources. Provides a framework and a set of tools to prepare the future accounting workforce for the era of digital disruption. This book is an invaluable resource for students on accounting, accounting information systems, and digital business courses, as well as for accountants, accounting educators, and accreditation / advocacy bodies.
Book Synopsis Advanced Data Warehousing by : MicroStrategy University
Download or read book Advanced Data Warehousing written by MicroStrategy University and published by MicroStrategy, Inc.. This book was released on with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Corporate Governance by : Robert A. G. Monks
Download or read book Corporate Governance written by Robert A. G. Monks and published by Wiley-Blackwell. This book was released on 2003-12-19 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the wake of the dramatic series of corporate meltdowns: Enron; Tyco; Adelphia; WorldCom; the timely new edition of this successful text provides students and business professionals with a welcome update of the key issues facing managers, boards of directors, investors, and shareholders. In addition to its authoritative overview of the history, the myth and the reality of corporate governance, this new edition has been updated to include: analysis of the latest cases of corporate disaster; An overview of corporate governance guidelines and codes of practice in developing and emerging markets new cases: Adelphia; Arthur Andersen; Tyco Laboratories; Worldcom; Gerstner's pay packet at IBM Once again in the new edition of their textbook, Robert A. G. Monks and Nell Minow show clearly the role of corporate governance in making sure the right questions are asked and the necessary checks and balances in place to protect the long-term, sustainable value of the enterprise. A CD-ROM containing a comprehensive case study of the Enron collapse, complete with senate hearings and video footage, accompanies the text. Further lecturer resources and links are available at www.blackwellpublishing.com/monks
Book Synopsis Enabling Real-time Analytics on IBM z Systems Platform by : Lydia Parziale
Download or read book Enabling Real-time Analytics on IBM z Systems Platform written by Lydia Parziale and published by IBM Redbooks. This book was released on 2016-08-08 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regarding online transaction processing (OLTP) workloads, IBM® z SystemsTM platform, with IBM DB2®, data sharing, Workload Manager (WLM), geoplex, and other high-end features, is the widely acknowledged leader. Most customers now integrate business analytics with OLTP by running, for example, scoring functions from transactional context for real-time analytics or by applying machine-learning algorithms on enterprise data that is kept on the mainframe. As a result, IBM adds investment so clients can keep the complete lifecycle for data analysis, modeling, and scoring on z Systems control in a cost-efficient way, keeping the qualities of services in availability, security, reliability that z Systems solutions offer. Because of the changed architecture and tighter integration, IBM has shown, in a customer proof-of-concept, that a particular client was able to achieve an orders-of-magnitude improvement in performance, allowing that client's data scientist to investigate the data in a more interactive process. Open technologies, such as Predictive Model Markup Language (PMML) can help customers update single components instead of being forced to replace everything at once. As a result, you have the possibility to combine your preferred tool for model generation (such as SAS Enterprise Miner or IBM SPSS® Modeler) with a different technology for model scoring (such as Zementis, a company focused on PMML scoring). IBM SPSS Modeler is a leading data mining workbench that can apply various algorithms in data preparation, cleansing, statistics, visualization, machine learning, and predictive analytics. It has over 20 years of experience and continued development, and is integrated with z Systems. With IBM DB2 Analytics Accelerator 5.1 and SPSS Modeler 17.1, the possibility exists to do the complete predictive model creation including data transformation within DB2 Analytics Accelerator. So, instead of moving the data to a distributed environment, algorithms can be pushed to the data, using cost-efficient DB2 Accelerator for the required resource-intensive operations. This IBM Redbooks® publication explains the overall z Systems architecture, how the components can be installed and customized, how the new IBM DB2 Analytics Accelerator loader can help efficient data loading for z Systems data and external data, how in-database transformation, in-database modeling, and in-transactional real-time scoring can be used, and what other related technologies are available. This book is intended for technical specialists and architects, and data scientists who want to use the technology on the z Systems platform. Most of the technologies described in this book require IBM DB2 for z/OS®. For acceleration of the data investigation, data transformation, and data modeling process, DB2 Analytics Accelerator is required. Most value can be achieved if most of the data already resides on z Systems platforms, although adding external data (like from social sources) poses no problem at all.
Book Synopsis Dimensional Modeling: In a Business Intelligence Environment by : Chuck Ballard
Download or read book Dimensional Modeling: In a Business Intelligence Environment written by Chuck Ballard and published by IBM Redbooks. This book was released on 2012-07-31 with total page 670 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this IBM Redbooks publication we describe and demonstrate dimensional data modeling techniques and technology, specifically focused on business intelligence and data warehousing. It is to help the reader understand how to design, maintain, and use a dimensional model for data warehousing that can provide the data access and performance required for business intelligence. Business intelligence is comprised of a data warehousing infrastructure, and a query, analysis, and reporting environment. Here we focus on the data warehousing infrastructure. But only a specific element of it, the data model - which we consider the base building block of the data warehouse. Or, more precisely, the topic of data modeling and its impact on the business and business applications. The objective is not to provide a treatise on dimensional modeling techniques, but to focus at a more practical level. There is technical content for designing and maintaining such an environment, but also business content. For example, we use case studies to demonstrate how dimensional modeling can impact the business intelligence requirements for your business initiatives. In addition, we provide a detailed discussion on the query aspects of BI and data modeling. For example, we discuss query optimization and how you can determine performance of the data model prior to implementation. You need a solid base for your data warehousing infrastructure . . . . a solid data model.
Book Synopsis Analytics, Data Science, and Artificial Intelligence by : Ramesh Sharda
Download or read book Analytics, Data Science, and Artificial Intelligence written by Ramesh Sharda and published by . This book was released on 2020-03-06 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: For courses in decision support systems, computerized decision-making tools, and management support systems. Market-leading guide to modern analytics, for better business decisionsAnalytics, Data Science, & Artificial Intelligence: Systems for Decision Support is the most comprehensive introduction to technologies collectively called analytics (or business analytics) and the fundamental methods, techniques, and software used to design and develop these systems. Students gain inspiration from examples of organisations that have employed analytics to make decisions, while leveraging the resources of a companion website. With six new chapters, the 11th edition marks a major reorganisation reflecting a new focus -- analytics and its enabling technologies, including AI, machine-learning, robotics, chatbots, and IoT.
Book Synopsis Decision Support Systems by : Daniel Power
Download or read book Decision Support Systems written by Daniel Power and published by Praeger. This book was released on 2002-03-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For MIS specialists and non-specialists alike, this text is a comprehensive, readable, understandable guide to the concepts and applications of decision support systems.
Download or read book Data Mining written by Florin Gorunescu and published by Springer Science & Business Media. This book was released on 2011-03-10 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: The knowledge discovery process is as old as Homo sapiens. Until some time ago this process was solely based on the ‘natural personal' computer provided by Mother Nature. Fortunately, in recent decades the problem has begun to be solved based on the development of the Data mining technology, aided by the huge computational power of the 'artificial' computers. Digging intelligently in different large databases, data mining aims to extract implicit, previously unknown and potentially useful information from data, since “knowledge is power”. The goal of this book is to provide, in a friendly way, both theoretical concepts and, especially, practical techniques of this exciting field, ready to be applied in real-world situations. Accordingly, it is meant for all those who wish to learn how to explore and analysis of large quantities of data in order to discover the hidden nugget of information.
Download or read book Computerworld written by and published by . This book was released on 1999-09-13 with total page 118 pages. Available in PDF, EPUB and Kindle. Book excerpt: For more than 40 years, Computerworld has been the leading source of technology news and information for IT influencers worldwide. Computerworld's award-winning Web site (Computerworld.com), twice-monthly publication, focused conference series and custom research form the hub of the world's largest global IT media network.
Book Synopsis Data Lake for Enterprises by : Tomcy John
Download or read book Data Lake for Enterprises written by Tomcy John and published by Packt Publishing Ltd. This book was released on 2017-05-31 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical guide to implementing your enterprise data lake using Lambda Architecture as the base About This Book Build a full-fledged data lake for your organization with popular big data technologies using the Lambda architecture as the base Delve into the big data technologies required to meet modern day business strategies A highly practical guide to implementing enterprise data lakes with lots of examples and real-world use-cases Who This Book Is For Java developers and architects who would like to implement a data lake for their enterprise will find this book useful. If you want to get hands-on experience with the Lambda Architecture and big data technologies by implementing a practical solution using these technologies, this book will also help you. What You Will Learn Build an enterprise-level data lake using the relevant big data technologies Understand the core of the Lambda architecture and how to apply it in an enterprise Learn the technical details around Sqoop and its functionalities Integrate Kafka with Hadoop components to acquire enterprise data Use flume with streaming technologies for stream-based processing Understand stream- based processing with reference to Apache Spark Streaming Incorporate Hadoop components and know the advantages they provide for enterprise data lakes Build fast, streaming, and high-performance applications using ElasticSearch Make your data ingestion process consistent across various data formats with configurability Process your data to derive intelligence using machine learning algorithms In Detail The term "Data Lake" has recently emerged as a prominent term in the big data industry. Data scientists can make use of it in deriving meaningful insights that can be used by businesses to redefine or transform the way they operate. Lambda architecture is also emerging as one of the very eminent patterns in the big data landscape, as it not only helps to derive useful information from historical data but also correlates real-time data to enable business to take critical decisions. This book tries to bring these two important aspects — data lake and lambda architecture—together. This book is divided into three main sections. The first introduces you to the concept of data lakes, the importance of data lakes in enterprises, and getting you up-to-speed with the Lambda architecture. The second section delves into the principal components of building a data lake using the Lambda architecture. It introduces you to popular big data technologies such as Apache Hadoop, Spark, Sqoop, Flume, and ElasticSearch. The third section is a highly practical demonstration of putting it all together, and shows you how an enterprise data lake can be implemented, along with several real-world use-cases. It also shows you how other peripheral components can be added to the lake to make it more efficient. By the end of this book, you will be able to choose the right big data technologies using the lambda architectural patterns to build your enterprise data lake. Style and approach The book takes a pragmatic approach, showing ways to leverage big data technologies and lambda architecture to build an enterprise-level data lake.
Book Synopsis Key Business Analytics by : Bernard Marr
Download or read book Key Business Analytics written by Bernard Marr and published by Pearson UK. This book was released on 2016-02-10 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities. It includes analysis techniques within the following categories: Financial analytics – cashflow, profitability, sales forecasts Market analytics – market size, market trends, marketing channels Customer analytics – customer lifetime values, social media, customer needs Employee analytics – capacity, performance, leadership Operational analytics – supply chains, competencies, environmental impact Bare business analytics – sentiments, text, correlations Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials: What is it? When should I use it? How do I use it? Tips and pitfalls Further reading This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc.
