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| finance business intelligence analyst: Financial Business Intelligence Nils H. Rasmussen, Paul S. Goldy, Per O. Solli, 2002-10-15 Turn storehouses of data into a strategic tool Business intelligence has recently become a word used by almostevery CFO, controller, and analyst. After having spent the lastdecade implementing Enterprise Resource Planning software and othermission critical solutions, companies now have large databases withtransactional data sitting in their computer rooms. Now, finally,the technology has reached a point where it is possible- in almostreal time-to quickly and easily analyze the financial data in thecorporate databases, to be able to make more intelligent businessdecisions. This book will help financial managers understand thetrends, technology, software selection, and implementation offinancial business intelligence (financial BI) software. With adictionary of business intelligence terms, a comprehensive list ofRequest for Proposal questions, and examples of popular financialbusiness intelligence reroutes and user interfaces, this bookenables managers to measure their companies' business intelligenceand maximize its value. |
| finance business intelligence analyst: Business Analysis for Business Intelligence Bert Brijs, 2016-04-19 Aligning business intelligence (BI) infrastructure with strategy processes not only improves your organization's ability to respond to change, but also adds significant value to your BI infrastructure and development investments. Until now, there has been a need for a comprehensive book on business analysis for BI that starts with a macro view and |
| finance business intelligence analyst: Business Intelligence Demystified Anoop Kumar V K, 2021-09-25 Clear your doubts about Business Intelligence and start your new journey KEY FEATURES ● Includes successful methods and innovative ideas to achieve success with BI. ● Vendor-neutral, unbiased, and based on experience. ● Highlights practical challenges in BI journeys. ● Covers financial aspects along with technical aspects. ● Showcases multiple BI organization models and the structure of BI teams. DESCRIPTION The book demystifies misconceptions and misinformation about BI. It provides clarity to almost everything related to BI in a simplified and unbiased way. It covers topics right from the definition of BI, terms used in the BI definition, coinage of BI, details of the different main uses of BI, processes that support the main uses, side benefits, and the level of importance of BI, various types of BI based on various parameters, main phases in the BI journey and the challenges faced in each of the phases in the BI journey. It clarifies myths about self-service BI and real-time BI. The book covers the structure of a typical internal BI team, BI organizational models, and the main roles in BI. It also clarifies the doubts around roles in BI. It explores the different components that add to the cost of BI and explains how to calculate the total cost of the ownership of BI and ROI for BI. It covers several ideas, including unconventional ideas to achieve BI success and also learn about IBI. It explains the different types of BI architectures, commonly used technologies, tools, and concepts in BI and provides clarity about the boundary of BI w.r.t technologies, tools, and concepts. The book helps you lay a very strong foundation and provides the right perspective about BI. It enables you to start or restart your journey with BI. WHAT YOU WILL LEARN ● Builds a strong conceptual foundation in BI. ● Gives the right perspective and clarity on BI uses, challenges, and architectures. ● Enables you to make the right decisions on the BI structure, organization model, and budget. ● Explains which type of BI solution is required for your business. ● Applies successful BI ideas. WHO THIS BOOK IS FOR This book is a must-read for business managers, BI aspirants, CxOs, and all those who want to drive the business value with data-driven insights. TABLE OF CONTENTS 1. What is Business Intelligence? 2. Why do Businesses need BI? 3. Types of Business Intelligence 4. Challenges in Business Intelligence 5. Roles in Business Intelligence 6. Financials of Business Intelligence 7. Ideas for Success with BI 8. Introduction to IBI 9. BI Architectures 10. Demystify Tech, Tools, and Concepts in BI |
| finance business intelligence analyst: Business Intelligence Guidebook Rick Sherman, 2014-11-04 Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources. |
| finance business intelligence analyst: Data Analysis for Business, Economics, and Policy Gábor Békés, Gábor Kézdi, 2021-05-06 A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data. |
| finance business intelligence analyst: Business Intelligence For Dummies Swain Scheps, 2011-02-04 You're intelligent, right? So you've already figured out that Business Intelligence can be pretty valuable in making the right decisions about your business. But you’ve heard at least a dozen definitions of what it is, and heard of at least that many BI tools. Where do you start? Business Intelligence For Dummies makes BI understandable! It takes you step by step through the technologies and the alphabet soup, so you can choose the right technology and implement a successful BI environment. You'll see how the applications and technologies work together to access, analyze, and present data that you can use to make better decisions about your products, customers, competitors, and more. You’ll find out how to: Understand the principles and practical elements of BI Determine what your business needs Compare different approaches to BI Build a solid BI architecture and roadmap Design, develop, and deploy your BI plan Relate BI to data warehousing, ERP, CRM, and e-commerce Analyze emerging trends and developing BI tools to see what else may be useful Whether you’re the business owner or the person charged with developing and implementing a BI strategy, checking out Business Intelligence For Dummies is a good business decision. |
| finance business intelligence analyst: Business Intelligence, Reprint Edition Stacia Misner, Michael Luckevich, Elizabeth Vitt, 2008-12-10 “This readable, practical book helps business people quickly understand what business intelligence is, how it works, where it's used, and why and when to use it—all illustrated by real case studies, not just theory.” Nigel Pendse Author of The OLAP Report www.olapreport.com So much information, so little time. All too often, business data is hard to get at and use—thus slowing decision-making to a crawl. This insightful book illustrates how organizations can make better, faster decisions about their customers, partners, and operations by turning mountains of data into valuable business information that’s always at the fingertips of decision makers. You’ll learn what’s involved in using business intelligence to bring together information, people, and technology to create successful business strategies—and how to execute those strategies with confidence. Topics covered include: THE BUSINESS INTELLIGENCE MINDSET: Discover the basics behind business intelligence, such as how it’s defined, why and how to use it in your organization, and what characteristics, components, and general architecture most business intelligence solutions share. THE CASE FOR BUSINESS INTELLIGENCE: Read how world leaders in finance, manufacturing, and retail have successfully implemented business intelligence solutions and see what benefits they have reaped. THE PRACTICE OF BUSINESS INTELLIGENCE: Find out what’s involved in implementing a business intelligence solution in your organization, including how to identify your business intelligence opportunities, what decisions you must make to get a business intelligence project going, and what to do to sustain the momentum so that you can continue to make sense of all the data you gather. |
| finance business intelligence analyst: The Profit Impact of Business Intelligence Steve Williams, Nancy Williams, 2010-07-27 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 |
| finance business intelligence analyst: Business Intelligence for Telecommunications Deepak Pareek, 2006-11-29 Bringing together market research reports, business analyst briefings, and technology references into one comprehensive volume, Business Intelligence for Telecommunications identifies those advances in both methods and technology that are being employed to inform decision-making and give companies an edge in the rapidly growing and highly co |
| finance business intelligence analyst: Handbook of Research on Applied AI for International Business and Marketing Applications Christiansen, Bryan, Škrinjari?, Tihana, 2020-09-25 Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students. |
| finance business intelligence analyst: Business Analytics for Managers Gert Laursen, Jesper Thorlund, 2010-07-13 While business analytics sounds like a complex subject, this book provides a clear and non-intimidating overview of the topic. Following its advice will ensure that your organization knows the analytics it needs to succeed, and uses them in the service of key strategies and business processes. You too can go beyond reporting!—Thomas H. Davenport, President's Distinguished Professor of IT and Management, Babson College; coauthor, Analytics at Work: Smarter Decisions, Better Results Deliver the right decision support to the right people at the right time Filled with examples and forward-thinking guidance from renowned BA leaders Gert Laursen and Jesper Thorlund, Business Analytics for Managers offers powerful techniques for making increasingly advanced use of information in order to survive any market conditions. Take a look inside and find: Proven guidance on developing an information strategy Tips for supporting your company's ability to innovate in the future by using analytics Practical insights for planning and implementing BA How to use information as a strategic asset Why BA is the next stepping-stone for companies in the information age today Discussion on BA's ever-increasing role Improve your business's decision making. Align your business processes with your business's objectives. Drive your company into a prosperous future. Taking BA from buzzword to enormous value-maker, Business Analytics for Managers helps you do it all with workable solutions that will add tremendous value to your business. |
| finance business intelligence analyst: Financial Modelling in Power BI Jonathan Liau, Liam Bastick, 2022-07-28 Just like a shovel, this book is genuinely ground-breaking. It hits you over the head with the proverbial gardening tool, implementing the way forward for financial modelling. Many working in banking and finance create their financial models in Excel and then import them into Power BI for graphical interpretation and further analysis. Not on our watch. We're going to jettison the universal spreadsheet and build the entire model in Power BI.We can't stress how far off the range we're taking the horses. If you are reading this, you are a true pioneer. Some have managed to build the odd financial statement in Power BI, but all three? This is where you can gain a major advantage in the workplace. If you build the calculations for financial statements in Power BI, you can produce statements by product, by customer, by geography... Get the picture? The limitation will be restricted to the granularity of the underlying data and your imagination.This book unearths some of the tricks, measures, logic and tools needed to build the model (there is no need to bury your mistakes). We just can't promise you a rose garden...With the usual jokes in spades, it's just a shame we couldn't get Doug (get it?) to assist. |
| finance business intelligence analyst: Introduction to R for Business Intelligence Jay Gendron, 2016-08-26 Learn how to leverage the power of R for Business Intelligence About This Book Use this easy-to-follow guide to leverage the power of R analytics and make your business data more insightful. This highly practical guide teaches you how to develop dashboards that help you make informed decisions using R. Learn the A to Z of working with data for Business Intelligence with the help of this comprehensive guide. Who This Book Is For This book is for data analysts, business analysts, data science professionals or anyone who wants to learn analytic approaches to business problems. Basic familiarity with R is expected. What You Will Learn Extract, clean, and transform data Validate the quality of the data and variables in datasets Learn exploratory data analysis Build regression models Implement popular data-mining algorithms Visualize results using popular graphs Publish the results as a dashboard through Interactive Web Application frameworks In Detail Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused approaches to help you answer questions in operations, marketing, and finance. In Part 1, you will learn about extracting data from different sources, cleaning that data, and exploring its structure. In Part 2, you will explore predictive models and cluster analysis for Business Intelligence and analyze financial times series. Finally, in Part 3, you will learn to communicate results with sharp visualizations and interactive, web-based dashboards. After completing the use cases, you will be able to work with business data in the R programming environment and realize how data science helps make informed decisions and develops business strategy. Along the way, you will find helpful tips about R and Business Intelligence. Style and approach This book will take a step-by-step approach and instruct you in how you can achieve Business Intelligence from scratch using R. We will start with extracting data and then move towards exploring, analyzing, and visualizing it. Eventually, you will learn how to create insightful dashboards that help you make informed decisions—and all of this with the help of real-life examples. |
| finance business intelligence analyst: Global Business Analytics Models Hokey Min, 2016-03-05 THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical techniques for developing reliable, actionable intelligence–and using it to craft strategy Analytical opportunities to solve key managerial problems in global enterprises Written for working managers: packed with realistic, useful examples This guide helps global managers use modern analytics to gain reliable, actionable, and timely business intelligence–and use it to manage risk, build winning strategies, and solve urgent problems. Dr. Hokey Min offers a practical, easy-to-understand overview of business analytics in a global context, focusing especially on managerial and strategic implications. After demystifying today’s core quantitative tools, he demonstrates them at work in a wide spectrum of global applications. You’ll build models to help segment global markets, forecast demand, assess risk, plan financing, optimize supply chains, and more. Along the way, you’ll find practical guidance for developing analytic thinking, operationalizing Big Data in global environments, and preparing for future analytical innovations. Whether you’re a global executive, strategist, analyst, marketer, supply chain professional, student or researcher, this book will help you drive real value from analytics–in smarter decisions, improved strategy, and better management. In today’s global business environments characterized by growing complexity, volatility, and uncertainty, business analytics has become an indispensable tool for managing these challenges. Specifically, global managers need analytics expertise to solve problems, identify opportunities, shape strategy, mitigate risk, and improve their day-to-day operational efficiency. Now, for the first time, there’s an analytics guide designed specifically for decision-makers in global organizations. Leveraging his experience teaching a number of students and training hundreds of managers and executives, Dr. Hokey Min demystifies the principles and tools of modern business analytics, and demonstrates their real-world use in global business. First, Dr. Min identifies key success factors and mindsets, helping you establish the preconditions for effective analysis. Next, he walks you through the practicalities of collecting, organizing, and analyzing Big Data, and developing models to transform them into actionable insight. Building on these foundations, he illustrates core analytical applications in finance, healthcare, and global supply chains. He concludes by previewing emerging trends in analytics, including the newest tools for automated decision-making. Compare today’s key quantitative tools Stats, data mining, OR, and simulation: how they work, when to use them Get the right data... ...and get the data right Predict the future... ...and sense its arrival sooner than others can |
| finance business intelligence analyst: Disruptive Analytics Thomas W. Dinsmore, 2016-08-27 Learn all you need to know about seven key innovations disrupting business analytics today. These innovations—the open source business model, cloud analytics, the Hadoop ecosystem, Spark and in-memory analytics, streaming analytics, Deep Learning, and self-service analytics—are radically changing how businesses use data for competitive advantage. Taken together, they are disrupting the business analytics value chain, creating new opportunities. Enterprises who seize the opportunity will thrive and prosper, while others struggle and decline: disrupt or be disrupted. Disruptive Business Analytics provides strategies to profit from disruption. It shows you how to organize for insight, build and provision an open source stack, how to practice lean data warehousing, and how to assimilate disruptive innovations into an organization. Through a short history of business analytics and a detailed survey of products and services, analytics authority Thomas W. Dinsmore provides a practical explanation of the most compelling innovations available today. What You'll Learn Discover how the open source business model works and how to make it work for you See how cloud computing completely changes the economics of analytics Harness the power of Hadoop and its ecosystem Find out why Apache Spark is everywhere Discover the potential of streaming and real-time analytics Learn what Deep Learning can do and why it matters See how self-service analytics can change the way organizations do business Who This Book Is For Corporate actors at all levels of responsibility for analytics: analysts, CIOs, CTOs, strategic decision makers, managers, systems architects, technical marketers, product developers, IT personnel, and consultants. |
| finance business intelligence analyst: The Essentials of Financial Analysis Samuel C. Weaver, 2011-12-30 It’s easier than you think to understand the financial reports you face every day . . . If your job focus is on managing employees and overseeing corporate affairs, financial analysis may sound like a foreign language to you. But, in today’s competitive business environment, it is crucial that managers and business executives have a firm grasp of financial analysis. The Essentials of Financial Analysis simplifies an often difficult-to-understand topic so stakeholders ranging from employees to executives to investors can understand and discuss an organization’s financial workings. The Essentials of Financial Analysis delivers practical, in-depth coverage on the key components of financial reporting, budgeting, and analysis to help you better relate to the numbers behind the business issues you face every day. By the time you turn the final page of this book, you will be able to command confident discussions on performance, investment, and other financial situations with members of your finance team and senior management. This hands-on book helps you make better business decisions by showing you how to structure financial analysis, as well as: Contribute to an organization’s success and guide others companywide to make better financial decisions Reduce cost of capital and hurdle rates by selecting the financial markets, intermediaries, and instruments that work best for your company’s financing needs Increase shareholder value by pursuing growth through capital investment, new products, mergers and acquisitions, joint ventures, and other strategies Your career success and the prosperity of your company depends on your ability to understand and act upon basic financial principles. With The Essentials of Financial Analysis, you can go inside the numbers and get a clear picture of where your company has been, where it is going, and how you can help it get there. |
| finance business intelligence analyst: Using Excel for Business Analysis Danielle Stein Fairhurst, 2015-05-18 This is a guide to building financial models for business proposals, to evaluate opportunities, or to craft financial reports. It covers the principles and best practices of financial modelling, including the Excel tools, formulas, and functions to master, and the techniques and strategies necessary to eliminate errors. |
| finance business intelligence analyst: Predictive Business Analytics Lawrence Maisel, Gary Cokins, 2013-09-26 Discover the breakthrough tool your company can use to make winning decisions This forward-thinking book addresses the emergence of predictive business analytics, how it can help redefine the way your organization operates, and many of the misconceptions that impede the adoption of this new management capability. Filled with case examples, Predictive Business Analytics defines ways in which specific industries have applied these techniques and tools and how predictive business analytics can complement other financial applications such as budgeting, forecasting, and performance reporting. Examines how predictive business analytics can help your organization understand its various drivers of performance, their relationship to future outcomes, and improve managerial decision-making Looks at how to develop new insights and understand business performance based on extensive use of data, statistical and quantitative analysis, and explanatory and predictive modeling Written for senior financial professionals, as well as general and divisional senior management Visionary and effective, Predictive Business Analytics reveals how you can use your business's skills, technologies, tools, and processes for continuous analysis of past business performance to gain forward-looking insight and drive business decisions and actions. |
| finance business intelligence analyst: Customer and Business Analytics Daniel S. Putler, Robert E. Krider, 2012-05-07 Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools. Extensively classroom-tested, the tex |
| finance business intelligence analyst: How to Start a Business Analyst Career Laura Brandenburg, 2015-01-02 You may be wondering if business analysis is the right career choice, debating if you have what it takes to be successful as a business analyst, or looking for tips to maximize your business analysis opportunities. With the average salary for a business analyst in the United States reaching above $90,000 per year, more talented, experienced professionals are pursuing business analysis careers than ever before. But the path is not clear cut. No degree will guarantee you will start in a business analyst role. What's more, few junior-level business analyst jobs exist. Yet every year professionals with experience in other occupations move directly into mid-level and even senior-level business analyst roles. My promise to you is that this book will help you find your best path forward into a business analyst career. More than that, you will know exactly what to do next to expand your business analysis opportunities. |
| finance business intelligence analyst: Profiles in Performance Howard Dresner, 2009-10-09 Too many organizations invest in performance management and business intelligence projects, without first establishing the needed conditions to ensure success. But the organizations that lay the groundwork for effective change first reap the benefits. In Profiles in Performance: Business Intelligence Journeys and the Road Map for Change, Howard Dresner (author of The Performance Management Revolution) worked with several extraordinary organizations to understand their thriving performance-directed culture. In doing so, he developed a unique maturity model-which served as both a filter to select candidates and as a lens to examine accomplishments. Interviews with people from all sides of the organization: business users, finance, senior management and the IT department Provides a complete picture of their progress from inception to current state The models, analyses and real world accounts from these cases will be an invaluable resource to any organization hoping to improve or initiate their own performance-directed culture. |
| finance business intelligence analyst: Business Analysis for Business Intelligence Bert Brijs, 2016-04-19 Aligning business intelligence (BI) infrastructure with strategy processes not only improves your organization's ability to respond to change, but also adds significant value to your BI infrastructure and development investments. Until now, there has been a need for a comprehensive book on business analysis for BI that starts with a macro view and |
| finance business intelligence analyst: Business Intelligence Roadmap Larissa Terpeluk Moss, S. Atre, 2003 This software will enable the user to learn about business intelligence roadmap. |
| finance business intelligence analyst: Financial Intelligence, Revised Edition Karen Berman, Joe Knight, 2013-02-19 Explains what business numbers mean and why they matter, and addresses issues that have become more important in recent years, including questions about the financial crisis and accounting literacy. |
| finance business intelligence analyst: The Quants Scott Patterson, 2011-01-25 With the immediacy of today’s NASDAQ close and the timeless power of a Greek tragedy, The Quants is at once a masterpiece of explanatory journalism, a gripping tale of ambition and hubris, and an ominous warning about Wall Street’s future. In March of 2006, four of the world’s richest men sipped champagne in an opulent New York hotel. They were preparing to compete in a poker tournament with million-dollar stakes, but those numbers meant nothing to them. They were accustomed to risking billions. On that night, these four men and their cohorts were the new kings of Wall Street. Muller, Griffin, Asness, and Weinstein were among the best and brightest of a new breed, the quants. Over the prior twenty years, this species of math whiz--technocrats who make billions not with gut calls or fundamental analysis but with formulas and high-speed computers--had usurped the testosterone-fueled, kill-or-be-killed risk-takers who’d long been the alpha males the world’s largest casino. The quants helped create a digitized money-trading machine that could shift billions around the globe with the click of a mouse. Few realized, though, that in creating this unprecedented machine, men like Muller, Griffin, Asness and Weinstein had sowed the seeds for history’s greatest financial disaster. Drawing on unprecedented access to these four number-crunching titans, The Quants tells the inside story of what they thought and felt in the days and weeks when they helplessly watched much of their net worth vaporize--and wondered just how their mind-bending formulas and genius-level IQ’s had led them so wrong, so fast. |
| finance business intelligence analyst: Financial Planning & Analysis and Performance Management Jack Alexander, 2018-06-13 Critical insights for savvy financial analysts Financial Planning & Analysis and Performance Management is the essential desk reference for CFOs, FP&A professionals, investment banking professionals, and equity research analysts. With thought-provoking discussion and refreshing perspective, this book provides insightful reference for critical areas that directly impact an organization’s effectiveness. From budgeting and forecasting, analysis, and performance management, to financial communication, metrics, and benchmarking, these insights delve into the cornerstones of business and value drivers. Dashboards, graphs, and other visual aids illustrate complex concepts and provide reference at a glance, while the author’s experience as a CFO, educator, and general manager leads to comprehensive and practical analytical techniques for real world application. Financial analysts are under constant pressure to perform at higher and higher levels within the realm of this consistently challenging function. Though areas ripe for improvement abound, true resources are scarce—until now. This book provides real-world guidance for analysts ready to: Assess performance of FP&A function and develop improvement program Improve planning and forecasting with new and provocative thinking Step up your game with leading edge analytical tools and practical solutions Plan, analyze and improve critical business and value drivers Build analytical capability and effective presentation of financial information Effectively evaluate capital investments in uncertain times The most effective analysts are those who are constantly striving for improvement, always seeking new solutions, and forever in pursuit of enlightening resources with real, useful information. Packed with examples, practical solutions, models, and novel approaches, Financial Planning & Analysis and Performance Management is an invaluable addition to the analyst’s professional library. Access to a website with many of the tools introduced are included with the purchase of the book. |
| finance business intelligence analyst: Business Intelligence Techniques Murugan Anandarajan, Asokan Anandarajan, Cadambi A. Srinivasan, 2012-11-02 Modern businesses generate huge volumes of accounting data on a daily basis. The recent advancements in information technology have given organizations the ability to capture and store data in an efficient and effective manner. However, there is a widening gap between this data storage and usage of the data. Business intelligence techniques can help an organization obtain and process relevant accounting data quickly and cost efficiently. Such techniques include: query and reporting tools, online analytical processing (OLAP), statistical analysis, text mining, data mining, and visualization. Business Intelligence Techniques is a compilation of chapters written by experts in the various areas. While these chapters stand on their own, taken together they provide a comprehensive overview of how to exploit accounting data in the business environment. |
| finance business intelligence analyst: The Future of Business Intelligence Elijah Falode, 2021-03-29 If you bought MICROSOFT POWER BI DEMYSTIFIED, it is imperative to know the THE FUTURE OF BUSINESS INTELLIGENCE.Hi friend, I want to thank you for spending time to go through my bookshelf. I believe this book you are about to read/order will transform how you do business. As we all know, the competition in the business world is a survival of the fittest. It's so fierce that sales reps and business go to the extent of studying library of books on psychology, business, and sales. No one wants to lose. So we see business men and women finding the answers in books such as Arts of War and other books on business secrets, psychology, and methodology. These materials may be helpful in solving your business challenges. Nonetheless, much more is achieved when this derived knowledge is integrated with the 21st century data intelligence for your business or corporation. This system forms the basis of business intelligence (BI).Business intelligence is a technology which helps you collect, analyze, transform, report, and query data of existing and prospective customers. With this, BI gives you insights into the trends and needs of customers. This information is a weapon that helps you in offering products and services which your customers so much desire. BI reduces the risk of misguided decisions or unprofitable investments. Instead, your Return of Investment (ROI) is maximized and there is a boost in the revenue and achievements of your business.Business intelligence is good for every business or organization. It puts business brands ahead of their competitors and every knowledge you need to set up a business intelligence strategy is revealed in this enlightening book.Kindly order your copies, leave feedback as I promise to release more book to support businesses in leveraging the power of business intelligence in improving their bottom line.Cheers, Elijah Falode |
| finance business intelligence analyst: Standard & Poor's Fundamentals of Corporate Credit Analysis Blaise Ganguin, John Bilardello, 2004-12-22 An up-to-date, accurate framework for credit analysis and decision making, from the experts at Standard & Poor's In a world of increasing financial complexity and shorter time frames in which to assess the wealth or dearth of information, this book provides an invaluable and easily accessible guide of critical building blocks of credit analysis to all credit professionals. --Apea Koranteng, Global Head, Structured Capital Markets, ABN AMRO The authors do a fine job of combining latest credit risk management theory and techniques with real-life examples and practical application. Whether a seasoned credit expert or a new student of credit, this is a must read book . . . a critical part of anyone's risk management library. --Mark T. Williams, Boston University, Finance and Economics Department At a time when credit risk is managed in a way more and more akin to market risk, Fundamentals of Corporate Credit Analysis provides well-needed support, not only for credit analysts but also for practitioners, portfolio managers, CDO originators, and others who need to keep track of the creditworthiness of their fixed-income investments. --Alain Canac, Chief Risk Officer, CDC IXIS Fundamentals of Corporate Credit Analysis provides professionals with the knowledge they need to systematically determine the operating and financial strength of a specific borrower, understand credit risks inherent in a wide range of corporate debt instruments, and then rank the default risk of that borrower. Focusing on fundamental credit risk, cash flow modeling, debt structure analysis, and other important issues, and including separate chapters on country risks, industry risks, business risks, financial risks, and management, it guides the reader through every step of traditional fundamental credit analysis. In a dynamic corporate environment, credit analysts cannot rely solely on financial statistical analysis, credit prediction models, or bond and stock price movements. Instead, a corporate credit analysis must supply loan providers and investors with more information and detail than ever before. On top of its traditional objective of assessing a firm's capacity and willingness to pay its financial obligations in a timely manner, a worthy credit analysis is now expected to assess recovery prospects of specific financial obligations should a firm become insolvent. Fundamentals of Corporate Credit Analysis provides practitioners with the knowledge and tools they need to address these changing requirements. Drawing on the unmatched global resources and capabilities of Standard & Poor's, this valuable book organizes its guidelines into three distinct components: Part I: Corporate Credit Risk helps analysts identify all the essential risks related to a particular firm, and measure the firm through both a financial forecast and benchmarking with peers Part II: Credit Risk of Debt Instruments explains the impact of debt instruments and debt structures on a firm's recovery prospects should it become insolvent Part III: Measuring Credit Risk presents a scoring system to assess the capacity and willingness of a firm to repay its debt in a timely fashion and to evaluate recovery prospects in the event of financial distress In addition, a fourth component--Cases in Credit Analysis--examines seven real-life studies to provide examples of the book's theory and procedures in practice. Senior Standard & Poor's analysts explore diverse cases ranging from North and South America to Europe and the Pacific Rim, on topics covering mergers (AT&T-Comcast, MGM-Mirage, Kellogg-Keebler), foreign ownership in a merger (Air New Zealand-Ansett-Singapore Airlines), sovereign issues (Repsol-YPF), peer comparisons (U.S. forestry), and recovery analysis (Yell LBO). Industry Keys to Success are identified and analyzed in each case, along with an explanation on how to interpret performance and come to a credit decision. While it is still true that ultimate credit decisions are highly subjective in nature, methodologies and thought processes can be repeatable from case to case. Fundamentals of Corporate Credit Analysis provides analysts with the knowledge and tools they need to systematically analyze a company, identify and analyze the most important factors in determining its creditworthiness, and ensure that more science than art is used in making the final credit decision. |
| finance business intelligence analyst: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 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. |
| finance business intelligence analyst: Analyzing Data with Power BI and Power Pivot for Excel Alberto Ferrari, Marco Russo, 2017-04-28 Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one! By reading this book, you will: • Gain an understanding of the basics of data modeling, including tables, relationships, and keys • Familiarize yourself with star schemas, snowflakes, and common modeling techniques • Learn the importance of granularity • Discover how to use multiple fact tables, like sales and purchases, in a complex data model • Manage calendar-related calculations by using date tables • Track historical attributes, like previous addresses of customers or manager assignments • Use snapshots to compute quantity on hand • Work with multiple currencies in the most efficient way • Analyze events that have durations, including overlapping durations • Learn what data model you need to answer your specific business questions About This Book • For Excel and Power BI users who want to exploit the full power of their favorite tools • For BI professionals seeking new ideas for modeling data |
| finance business intelligence analyst: Business Intelligence Strategy John Boyer, Bill Frank, Brian Green, Tracy Harris, Kay Van De Vanter, 2010 Geared toward IT management and business executives seeking to excel in business intelligence initiatives, this practical guide explores creating business alignment strategies that help prioritize business requirements, build organizational and cultural strategies, increase IT efficiency, and promote user adoption. Business intelligence, together with business analytics and performance management, eliminates information overload by organizing the massive amounts of information available in the modern enterprise. Addressing the challenges of business intelligence operations, this resource supports the goal of better business decision making and identifying unrealized opportunities. Each chapter includes a checklist of recommended approaches and a strategy overview template. |
| finance business intelligence analyst: Python for Everybody Charles R. Severance, 2016-04-09 Python for Everybody is designed to introduce students to programming and software development through the lens of exploring data. You can think of the Python programming language as your tool to solve data problems that are beyond the capability of a spreadsheet.Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.This book uses the Python 3 language. The earlier Python 2 version of this book is titled Python for Informatics: Exploring Information.There are free downloadable electronic copies of this book in various formats and supporting materials for the book at www.pythonlearn.com. The course materials are available to you under a Creative Commons License so you can adapt them to teach your own Python course. |
| finance business intelligence analyst: Business Intelligence Ramesh Sharda, Dursun Delen, Efraim Turban, 2017-01-13 For courses on Business Intelligence or Decision Support Systems. A managerial approach to understanding business intelligence systems. To help future managers use and understand analytics, Business Intelligence provides students with a solid foundation of BI that is reinforced with hands-on practice. |
| finance business intelligence analyst: Financial Statement Analysis & Valuation Peter Douglas Easton, Mary Lea McAnally, Gregory A. Sommers, Xiao-Jun Zhang ((Michael Chetkovich Chair in Accounting, University of California, Berkeley)), 2018 |
| finance business intelligence analyst: Python for Finance Yves J. Hilpisch, 2018-12-05 The financial industry has recently adopted Python at a tremendous rate, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. Updated for Python 3, the second edition of this hands-on book helps you get started with the language, guiding developers and quantitative analysts through Python libraries and tools for building financial applications and interactive financial analytics. Using practical examples throughout the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study. Much of the book uses interactive IPython Notebooks. |
| finance business intelligence analyst: Series 7 Study Guide Series 7 Exam Prep Review Team, 2017-11-07 Series 7 Study Guide: Test Prep Manual & Practice Exam Questions for the FINRA Series 7 Licence Exam Developed for test takers trying to achieve a passing score on the Series 7 exam, this comprehensive study guide includes: -Quick Overview -Test-Taking Strategies -Introduction to the Series 7 Exam -Regulatory Requirements -Knowledge of Investor Profile -Opening and Maintaining Customer Accounts -Business Conduct Knowledge & Suitable Recommendations -Orders and Transactions in Customer Accounts -Professional Conduct and Ethical Considerations -Primary Marketplace -Secondary Marketplace -Principal Factors Affecting Securities, Markets, and Prices -Analysis of Securities and Markets -Equity Securities -Debt Securities -Packaged Securities and Managed Investments -Options -Retirement Plans -Custodial, Edcation, and Health Savings -Practice Questions -Detailed Answer Explanations Each section of the test has a comprehensive review that goes into detail to cover all of the content likely to appear on the Series 7 exam. The practice test questions are each followed by detailed answer explanations. If you miss a question, it's important that you are able to understand the nature of your mistake and how to avoid making it again in the future. The answer explanations will help you to learn from your mistakes and overcome them. Understanding the latest test-taking strategies is essential to preparing you for what you will expect on the exam. A test taker has to not only understand the material that is being covered on the test, but also must be familiar with the strategies that are necessary to properly utilize the time provided and get through the test without making any avoidable errors. Anyone planning to take the Series 7 exam should take advantage of the review material, practice test questions, and test-taking strategies contained in this study guide. |
| finance business intelligence analyst: Performance Dashboards Wayne W. Eckerson, 2005-10-27 Tips, techniques, and trends on how to use dashboard technology to optimize business performance Business performance management is a hot new management discipline that delivers tremendous value when supported by information technology. Through case studies and industry research, this book shows how leading companies are using performance dashboards to execute strategy, optimize business processes, and improve performance. Wayne W. Eckerson (Hingham, MA) is the Director of Research for The Data Warehousing Institute (TDWI), the leading association of business intelligence and data warehousing professionals worldwide that provide high-quality, in-depth education, training, and research. He is a columnist for SearchCIO.com, DM Review, Application Development Trends, the Business Intelligence Journal, and TDWI Case Studies & Solution. |
| finance business intelligence analyst: Unifying Business, Data, and Code Ron Itelman, Juan Cruz Viotti, 2023-05-31 In the modern symphony of business, each section-from the technical to the managerial-must play in harmony. Authors Ron Itelman and Juan Cruz Viotti introduce a bold methodology to synchronize your business and technical teams, transforming them into a single, high-performing unit. Misalignment between business and technical teams halts innovation. You'll learn how to transcend the root causes of project failure-the ambiguity, knowledge gaps, and blind spots that lead to wasted efforts. The unifying methodology in this book will teach you these alignment tools and more: The four facets of data products: A simple blueprint that encapsulates data and business logic helps eliminate the most common causes of wasted time and misunderstanding The concept compass: An easy way to identify the biggest sources of misalignment Success spectrums: Define the required knowledge and road map your team needs to achieve success JSON Schema: Leverage JSON and JSON Schema to technically implement the strategy at scale, including extending JSON Schema with custom keywords, understanding JSON Schema annotations, and hosting your own schema registry Data hygiene: Learn how to design high-quality datasets aligned with creating real business value, and protect your organization from the most common sources of pain |
| finance business intelligence analyst: Business Analysis and Valuation Sue Joy Wright, Michael Bradbury, Philip Lee, Krishna G. Palepu, Paul M. Healy, 2014 Business Analysis and Valuation has been developed specifically for students undertaking accounting Valuation subjects. With a significant number of case studies exploring various issues in this field, including a running chapter example, it offers a practical and in-depth approach. This second edition of the Palepu text has been revitalised with all new Australian content in parts 1-3, making this edition predominantly local, while still retaining a selection of the much admired and rigorous Harvard case studies in part 4. Retaining the same author team, this new edition presents the field of valuation accounting in the Australian context in a clear, logical and thorough manner. |
Finance - City of New Albany
The 2023 Annual Comprehensive Finance Report (ACFR) is available for review and has been certified by the State. New Albany’s 2022 ACFR has received the Certificate of Achievement …
Careers - City of New Albany
New Albany Finance functions include overseeing fiscal operations, debt issuance, providing an accurate accounting of receipts and disbursements, managing financial investments and …
Bethany Staats, CPA - City of New Albany
Bethany Staats, CPA Director of Finance 614-939-2243 bstaats@newalbanyohio.org Bethany Staats, CPA, began her duties as New Albany’s finance director in July 2017 and oversees a …
Finance Department Receives Award - City of New Albany
Nov 22, 2022 · This award is the benchmark and banner for public entities that are earning and saving at the highest levels on their taxpayers’ resources, resulting in new revenue streams for …
Government Records Archivist5/11/2023 - newalbanyohio.org
Finance Department (Date) (Unit) Megan Thomas (Name) See ORC 149.38 - Records Commission Administrative Assistant (Title) ORC 149.412 for Records Commission …
New Albany Earns Excellence in Financial Reporting Award
Mar 6, 2025 · Once again, congratulations to the finance department for this outstanding achievement! Looking Ahead. Lastly, as New Albany continues to grow and thrive, the City …
Title: Deputy Director (Finance) Exempt Classification Grade …
Accountant (CPA) is preferred. Suitable majors include public finance and budgeting, accounting, public administration, or similar major coursework. The incumbent must also have at least five …
City Earns Distinguished Budget Presentation Award
Oct 28, 2024 · The City of New Albany is pleased to announce that it has received the Government Finance Officers Association’s Distinguished Budget Presentation Award. The …
Finance Department Receives Highest Award - City of New Albany
Apr 12, 2021 · The Government Finance Officers Association awarded its Certificate of Achievement for Excellence in Financial Reporting to the City of New Albany for its 2019 …
Taxes - City of New Albany
Essential tax information for New Albany residents! Explore details on income tax rates, filing procedures, payment options, and deadlines.
Finance - City of New Albany
The 2023 Annual Comprehensive Finance Report (ACFR) is available for review and has been certified by the State. New Albany’s 2022 ACFR has received the Certificate of Achievement …
Careers - City of New Albany
New Albany Finance functions include overseeing fiscal operations, debt issuance, providing an accurate accounting of receipts and disbursements, managing financial investments and …
Bethany Staats, CPA - City of New Albany
Bethany Staats, CPA Director of Finance 614-939-2243 bstaats@newalbanyohio.org Bethany Staats, CPA, began her duties as New Albany’s finance director in July 2017 and oversees a …
Finance Department Receives Award - City of New Albany
Nov 22, 2022 · This award is the benchmark and banner for public entities that are earning and saving at the highest levels on their taxpayers’ resources, resulting in new revenue streams for …
Government Records Archivist5/11/2023 - newalbanyohio.org
Finance Department (Date) (Unit) Megan Thomas (Name) See ORC 149.38 - Records Commission Administrative Assistant (Title) ORC 149.412 for Records Commission …
New Albany Earns Excellence in Financial Reporting Award
Mar 6, 2025 · Once again, congratulations to the finance department for this outstanding achievement! Looking Ahead. Lastly, as New Albany continues to grow and thrive, the City …
Title: Deputy Director (Finance) Exempt Classification Grade …
Accountant (CPA) is preferred. Suitable majors include public finance and budgeting, accounting, public administration, or similar major coursework. The incumbent must also have at least five …
City Earns Distinguished Budget Presentation Award
Oct 28, 2024 · The City of New Albany is pleased to announce that it has received the Government Finance Officers Association’s Distinguished Budget Presentation Award. The …
Finance Department Receives Highest Award - City of New Albany
Apr 12, 2021 · The Government Finance Officers Association awarded its Certificate of Achievement for Excellence in Financial Reporting to the City of New Albany for its 2019 …
Taxes - City of New Albany
Essential tax information for New Albany residents! Explore details on income tax rates, filing procedures, payment options, and deadlines.
