Business Intelligence And Analytics In Small And Medium Enterprises
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| Author | : Pedro Novo Melo |
| Publisher | : CRC Press |
| Total Pages | : 172 |
| Release | : 2019-11-26 |
| Genre | : Business & Economics |
| ISBN | : 0429509367 |
Technological developments in recent years have been tremendous. This evolution is visible in companies through technological equipment, computerized procedures, and management practices associated with technologies. One of the management practices that is visible is related to business intelligence and analytics (BI&A). Concepts such as data warehousing, key performance indicators (KPIs), data mining, and dashboards are changing the business arena. This book aims to promote research related to these new trends that open up a new field of research in the small and medium enterprises (SMEs) area. Features Focuses on the more recent research findings occurring in the fields of BI&A Conveys how companies in the developed world are facing today's technological challenges Shares knowledge and insights on an international scale Provides different options and strategies to manage competitive organizations Addresses several dimensions of BI&A in favor of SMEs
| Author | : Rick Sherman |
| Publisher | : Newnes |
| Total Pages | : 551 |
| Release | : 2014-11-04 |
| Genre | : Computers |
| ISBN | : 0124115284 |
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.
| Author | : Steve Williams |
| Publisher | : Elsevier |
| Total Pages | : 237 |
| Release | : 2010-07-27 |
| Genre | : Business & Economics |
| ISBN | : 0080467768 |
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
| Author | : Lund Pedersen, Carsten |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 272 |
| Release | : 2021-09-21 |
| Genre | : Business & Economics |
| ISBN | : 1839100168 |
This important book considers the ways in which small and medium-sized enterprises (SMEs) can thrive in the age of big data. To address this central issue from multiple viewpoints, the editors introduce a collection of experiences, insights, and guidelines from a variety of expert researchers, each of whom provides a piece to solve this puzzle.
| Author | : J Mark Munoz |
| Publisher | : Routledge |
| Total Pages | : 357 |
| Release | : 2017-11-10 |
| Genre | : Business & Economics |
| ISBN | : 1315471116 |
Global Business Intelligence refers to an organization’s ability to gather, process and analyze pertinent international information in order to make optimal business decisions in a timely manner. With a challenging economic and geopolitical environment, companies and executives need to be adept at information gathering in order to manage emerging challenges and gain competitive advantages. This book Global Business Intelligence assembles a cast of international experts and thought leaders and explores the implications of business intelligence on contemporary management. Global Business Intelligence will be a key resource for researchers, academics, students and policy makers alike in the fields of International Business & Management, Business Strategy, and Geopolitics as well as related disciplines like Political Science, Economics, and Geography.
| Author | : Frada Burstein |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 827 |
| Release | : 2008-01-22 |
| Genre | : Business & Economics |
| ISBN | : 3540487166 |
As the most comprehensive reference work dealing with decision support systems (DSS), this book is essential for the library of every DSS practitioner, researcher, and educator. Written by an international array of DSS luminaries, it contains more than 70 chapters that approach decision support systems from a wide variety of perspectives. These range from classic foundations to cutting-edge thought, informative to provocative, theoretical to practical, historical to futuristic, human to technological, and operational to strategic. The chapters are conveniently organized into ten major sections that novices and experts alike will refer to for years to come.
| Author | : Uwe G. Seebacher |
| Publisher | : Springer Nature |
| Total Pages | : 754 |
| Release | : 2021-05-03 |
| Genre | : Business & Economics |
| ISBN | : 3030542920 |
This unique book comprehensively presents the current state of knowledge, theoretical and practical alike, in the field of business-to-business (B2B) marketing. More than 30 of the best and most recognized B2B marketers address the most relevant theoretical foundations, concepts, tried and tested approaches and models from entrepreneurial practice. Many of those concepts are published for the first time ever in this book. The book not only builds on the existing classic literature for industrial goods marketing but also – and much more importantly – finally closes the gap towards the rapidly growing ecosystem of modern B2B marketing terms, instruments, products, and topics. Technical terms such as Account-Based Marketing, Buyer Journey, ChatBots, Content AI, Marketing Automation, Marketing Canvas, Social Selling, Touchpoint Sensitivity Analysis, and Predictive Intelligence are explained and examined in detail, especially in terms of their applicability and implementation. The book as a whole reflects the B2B marketing journey so that the readers can directly connect the content to their own experience and use the book as a guide in their day-to-day work for years to come.
| Author | : Khosrow-Pour D.B.A., Mehdi |
| Publisher | : IGI Global |
| Total Pages | : 2734 |
| Release | : 2020-09-29 |
| Genre | : Business & Economics |
| ISBN | : 1799834743 |
For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication.
| Author | : Daniel S. Putler |
| Publisher | : CRC Press |
| Total Pages | : 314 |
| Release | : 2012-05-07 |
| Genre | : Business & Economics |
| ISBN | : 146650398X |
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
| Author | : Milenka Linneth Argote Cusi |
| Publisher | : Routledge |
| Total Pages | : 78 |
| Release | : 2020-09-20 |
| Genre | : Business & Economics |
| ISBN | : 1000178587 |
This innovative book proposes new methodologies for the measurement of entrepreneurship by applying techniques of demography, engineering, mathematics and statistics. Using the data from the Global Entrepreneurship Monitor (GEM), statistical demographic techniques are used for the evaluation of data quality (EDQ), and a new methodology for the estimation of Specific Entrepreneurship Rates (SER) and the Global Entrepreneurship Rate (GER) is proposed. At the same time the authors present artificial intelligence techniques such as Fuzzy Time Series (FTS) to forecast data series of the entrepreneurial population. Finally, they present a case study of the implementation of Big Data in Entrepreneurship using GEM data that shows the latest technological trends for the management of data, in support of making more accurate decisions. Being a methodological book, the techniques presented can be applied to any dataset in different areas. Readers will learn new methodologies of analysis and measurement of entrepreneurship using data from the Global Entrepreneurship Monitor. They will be able to access the experience of the authors through each of the applied cases in which the reader is taken by the hand, both through the scientific method and through the methodology of construction of more accurate metrics in entrepreneurship, with less error. This book will be of value to students at an advanced level, academics and researchers in the fields of Entrepreneurship, Business Analytics and Research Methodology.
