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Financial Business Intelligence

Author: Nils H. Rasmussen

Publisher: John Wiley & Sons

Published: 2002-10-15

Total Pages: 304

ISBN-13: 0471267856

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.

Business Intelligence Techniques

Author: Murugan Anandarajan

Publisher: Springer Science & Business Media

Published: 2012-11-02

Total Pages: 271

ISBN-13: 3540247009

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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.

Financial Intelligence, Revised Edition

Author: Karen Berman

Publisher: Harvard Business Review Press

Published: 2013-02-19

Total Pages: 304

ISBN-13: 1422144119

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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.

Business Analysis for Business Intelligence

Author: Bert Brijs

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 400

ISBN-13: 1439858373

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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

E-Business Intelligence

Author: Bernard Liautaud

Publisher: McGraw-Hill Companies

Published: 2001

Total Pages: 306

ISBN-13: 9780071364782

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Publisher Fact Sheet How to leverage corporate information for reduced costs & increased profits.

Business Intelligence Tools for Small Companies

Author: Albert Nogués

Publisher: Apress

Published: 2017-05-25

Total Pages: 340

ISBN-13: 1484225686

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Learn how to transition from Excel-based business intelligence (BI) analysis to enterprise stacks of open-source BI tools. Select and implement the best free and freemium open-source BI tools for your company’s needs and design, implement, and integrate BI automation across the full stack using agile methodologies. Business Intelligence Tools for Small Companies provides hands-on demonstrations of open-source tools suitable for the BI requirements of small businesses. The authors draw on their deep experience as BI consultants, developers, and administrators to guide you through the extract-transform-load/data warehousing (ETL/DWH) sequence of extracting data from an enterprise resource planning (ERP) database freely available on the Internet, transforming the data, manipulating them, and loading them into a relational database. The authors demonstrate how to extract, report, and dashboard key performance indicators (KPIs) in a visually appealing format from the relational database management system (RDBMS). They model the selection and implementation of free and freemium tools such as Pentaho Data Integrator and Talend for ELT, Oracle XE and MySQL/MariaDB for RDBMS, and Qliksense, Power BI, and MicroStrategy Desktop for reporting. This richly illustrated guide models the deployment of a small company BI stack on an inexpensive cloud platform such as AWS. What You'll Learn You will learn how to manage, integrate, and automate the processes of BI by selecting and implementing tools to: Implement and manage the business intelligence/data warehousing (BI/DWH) infrastructure Extract data from any enterprise resource planning (ERP) tool Process and integrate BI data using open-source extract-transform-load (ETL) tools Query, report, and analyze BI data using open-source visualization and dashboard tools Use a MOLAP tool to define next year's budget, integrating real data with target scenarios Deploy BI solutions and big data experiments inexpensively on cloud platforms Who This Book Is For Engineers, DBAs, analysts, consultants, and managers at small companies with limited resources but whose BI requirements have outgrown the limitations of Excel spreadsheets; personnel in mid-sized companies with established BI systems who are exploring technological updates and more cost-efficient solutions

Applications of Artificial Intelligence in Business and Finance

Author: Vikas Garg

Publisher: CRC Press

Published: 2021-12-23

Total Pages: 272

ISBN-13: 1000290417

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As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud. In this volume, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management. Topics cover the use of AI in e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

Financial Intelligence for HR Professionals

Author: Karen Berman

Publisher: Harvard Business Press

Published: 2008

Total Pages: 322

ISBN-13: 1422119130

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As an HR manager, you're expected to use financial data to make decisions, allocate resources, and budget expenses. But if you're like many human resource practitioners, you may feel uncertain or uncomfortable incorporating financial numbers into your day-to-day work. In Financial Intelligence for HR Professionals, Karen Berman and Joe Knight tailor the groundbreaking work they introduced in their book Financial Intelligence: A Manager's Guide to Knowing What the Numbers Really Mean to present the essentials of finance specifically for HR experts. Drawing on their work training tens of thousands of managers and employees at leading organizations worldwide, Berman and Knight provide you with a deep understanding of the basics of financial management and measurement, along with hands-on activities to practice what you are reading. You'll discover: Â· Why the assumptions behind financial data matter Â· What your company's income statement, balance sheet, and cash flow statement really reveal Â· How to use ratios to assess your company's financial health Â· How to calculate return on investment Â· Ways to use financial information to support your business units and do your own job better Â· How to instill financial intelligence throughout your team Authoritative and accessible, this book empowers you to "talk numbers" confidently with your boss, colleagues, and direct reports--and with the finance department. About the Author Karen Berman and Joe Knight founded the Business Literacy Institute. They train managers at some of America's biggest and best-known companies. John Case has written or collaborated on several successful books. He has also written for Inc., Harvard Business Review, and other business publications.

A Primer on Business Analytics

Author: Yudhvir Seetharam

Publisher: IAP

Published: 2022-01-01

Total Pages: 155

ISBN-13: 1648028209

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This book will provide a comprehensive overview of business analytics, for those who have either a technical background (quantitative methods) or a practitioner business background. Business analytics, in the context of the 4th Industrial Revolution, is the “new normal” for businesses that operate in this digital age. This book provides a comprehensive primer and overview of the field (and related fields such as Business Intelligence and Data Science). It will discuss the field as it applies to financial institutions, with some minor departures to other industries. Readers will gain understanding and insight into the field of data science, including traditional as well as emerging techniques. Further, many chapters are dedicated to the establishment of a data-driven team – from executive buy-in and corporate governance to managing and quantifying the return of data-driven projects.

Business Intelligence

Author: Elizabeth Vitt

Publisher:

Published: 2002

Total Pages: 0

ISBN-13: 9780735616271

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This 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 at the fingertips of decision makers. It describes 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. Real-life case studies show how world leaders in finance, manufacturing, and retail have successfully implemented business intelligence solutions and detail the benefits they have reaped.