Video Analytics For Business Intelligence
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Video Analytics For Business Intelligence
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Author : Caifeng Shan
language : en
Publisher: Springer
Release Date : 2012-04-05
Video Analytics For Business Intelligence written by Caifeng Shan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-05 with Technology & Engineering categories.
Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice.
Video Analytics For Business Intelligence
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Author : Caifeng Shan
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-04-07
Video Analytics For Business Intelligence written by Caifeng Shan and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-04-07 with Computers categories.
Closed Circuit TeleVision (CCTV) cameras have been increasingly deployed pervasively in public spaces including retail centres and shopping malls. Intelligent video analytics aims to automatically analyze content of massive amount of public space video data and has been one of the most active areas of computer vision research in the last two decades. Current focus of video analytics research has been largely on detecting alarm events and abnormal behaviours for public safety and security applications. However, increasingly CCTV installations have also been exploited for gathering and analyzing business intelligence information, in order to enhance marketing and operational efficiency. For example, in retail environments, surveillance cameras can be utilised to collect statistical information about shopping behaviour and preference for marketing (e.g., how many people entered a shop; how many females/males or which age groups of people showed interests to a particular product; how long did they stay in the shop; and what are the frequent paths), and to measure operational efficiency for improving customer experience. Video analytics has the enormous potential for non-security oriented commercial applications. This book presents the latest developments on video analytics for business intelligence applications. It provides both academic and commercial practitioners an understanding of the state-of-the-art and a resource for potential applications and successful practice.
The Next Generation Of Video Surveillance And Video Analytics
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Author : Zhihao Chen
language : en
Publisher: CreateSpace
Release Date : 2014-11-03
The Next Generation Of Video Surveillance And Video Analytics written by Zhihao Chen and has been published by CreateSpace this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-03 with categories.
The field of electronic surveillance has matured significantly over the past 2 decades, fuelled by the growth of safety and security concerns around the world. Surveillance cameras are being used for a wide variety of applications from national security to securing the home. Video analytics, also called intelligent video surveillance, is a technology that uses software to automatically identify specific objects, behaviours or attitudes in video footage. It transforms the video into data to be transmitted or archived so that the video surveillance system can act accordingly. It may involve activating a mobile camera in order to obtain more specific data about the scene or simply to send a warning to surveillance personnel so that a decision may be made on the proper intervention required. As video analytics has dramatically improved its effectiveness as a tool for providing real-time, actionable intelligence in security installations, it's getting serious attention for other uses as well. Its versatility provides excellent return on investment for a wide range of applications, including business intelligence, factory automation, loss prevention, public liability assessments, training, consumer behavior analysis, monitoring traffic flow, and more.
Utilizing Big Data Paradigms For Business Intelligence
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Author : Darmont, Jérôme
language : en
Publisher: IGI Global
Release Date : 2018-08-10
Utilizing Big Data Paradigms For Business Intelligence written by Darmont, Jérôme and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-10 with Business & Economics categories.
Because efficient compilation of information allows managers and business leaders to make the best decisions for the financial solvency of their organizations, data analysis is an important part of modern business administration. Understanding the use of analytics, reporting, and data mining in everyday business environments is imperative to the success of modern businesses. Utilizing Big Data Paradigms for Business Intelligence is a pivotal reference source that provides vital research on how to address the challenges of data extraction in business intelligence using the five “Vs” of big data: velocity, volume, value, variety, and veracity. This book is ideally designed for business analysts, investors, corporate managers, entrepreneurs, and researchers in the fields of computer science, data science, and business intelligence.
Computational Intelligence Applications In Business Intelligence And Big Data Analytics
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Author : Vijayan Sugumaran
language : en
Publisher: CRC Press
Release Date : 2017-06-26
Computational Intelligence Applications In Business Intelligence And Big Data Analytics written by Vijayan Sugumaran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-26 with Computers categories.
There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.
Reshaping Society Through Analytics Collaboration And Decision Support
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Author : Lakshmi S. Iyer
language : en
Publisher: Springer
Release Date : 2014-12-04
Reshaping Society Through Analytics Collaboration And Decision Support written by Lakshmi S. Iyer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-04 with Business & Economics categories.
This volume explores emerging research and pedagogy in analytics, collaboration, and decision support with an emphasis on business intelligence and social media. In general, the chapters help understand where technology involvement in human decisions is headed. Reading the chapters can help understand the opportunities and threats associated with the use of information technology in decision making. Computing and information technologies are reshaping our global society, but they can potentially reshape it in negative as well as positive ways. Analytics, collaboration and computerized decision support are powerful decision aiding and decision making tools that have enormous potential to impact crisis decision making, regulation of financial systems, healthcare decision making and many more important decision domains. Many information technologies can potentially support, assist and even decide for human decision makers. Despite the potential, some researchers think that we know the answers to how these technologies will change society. The "Wisdom of Crowds" or "Big Data" become the topic of the day and are soon replaced with new marketing terms. In many ways, mobile technology is just another form factor to adapt decision support capabilities too and experiment with new capabilities. The cloud is a nebulous metaphor that adds to the mystery of information technology. Wireless technology enables the ubiquitous presence of analytics and decision support. With new networking capabilities, collaboration is possible anywhere and everywhere using voice, video and text. Documents can be widely shared and massive numbers of documents can be carried on a small tablet computer. Recent developments in technologies impact the processes organizations use to make decisions. In addition, academics are looking for ways to enhance their pedagogy to train students to be more adept in understanding how emerging technology will be used effectively for decision making in organizations. The chapters are based on papers originally reviewed at the Special Interest Group on Decision Support Systems (SIGDSS) Workshop at the 2013 International Conference on Information Systems (ICIS 2013). Ultimately this volume endeavors to find a balance between systematizing what we know, so we can teach our findings from prior research better, and stimulating excitement to move the field in new directions.
Business Intelligence Bi High Impact Strategies What You Need To Know
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Author : Kevin Roebuck
language : en
Publisher: Tebbo
Release Date : 2011
Business Intelligence Bi High Impact Strategies What You Need To Know written by Kevin Roebuck and has been published by Tebbo this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business intelligence categories.
Business intelligence (BI) refers to computer-based techniques used in identifying, extracting, [clarification needed] and analyzing business data, such as sales revenue by products and/or departments, or by associated costs and incomes. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, business performance management, benchmarking, text mining and predictive analytics. This book is your ultimate resource for Business intelligence (BI). Here you will find the most up-to-date information, analysis, background and everything you need to know. In easy to read chapters, with extensive references and links to get you to know all there is to know about Business intelligence (BI) right away, covering: Business intelligence, Business Intelligence Project Planning, ABC analysis, Academic Analytics, Accounting intelligence, ActiveReports, Actuate Corporation, ADAPA, Advanced 365, Altius Consulting, American Business Media, Analytic applications, ApeSoft, BIfFI, BigChampagne, BIRT Project, Blindspots analysis, Business Intelligence 2.0, Business Intelligence Competency Center, Business Intelligence portal, Business intelligence tools, Business performance management, BusinessObjects OLAP Intelligence, Cognos Reportnet, Competitive intelligence, Competitor analysis, Competitor intelligence, Context analysis, Creative competitive intelligence, Crystal Analysis, Crystal Decisions, Customer analytics, Customer attrition, Dashboard (business), Data classification (business intelligence), Data cleansing, Data Discovery and Query Builder, Data stream mining, Data warehouse, Data warehouse appliance, Data warehouse architectures, DataCleaner, DATAllegro, DataRush Technology, Business intelligence deployment, DevExpress Reporting, Digital strategy, Dimensional Fact Model, Early-arriving fact, Ecological model of competition, Enterprise bus matrix, Espicom Business Intelligence, Craig Fleisher, Focus group, Freightgate, Fuld-Gilad-Herring Academy of Competitive Intelligence, Future Map, Geo-enable, GL Wand, GOPPAR, Government Performance Management, Greenplum, Gross Merchandise Volume, Holistic Data Management, I-net Crystal-Clear, IBM Cognos 8 Business Intelligence, IMRB International, Industry or market research, ORC International, Information broker, InfoSTEP, InfoZoom, Institute for Competitive Intelligence, Integrated business planning, JasperReports, JReport, Performance indicator, Ralph Kimball, Klipfolio Dashboard, Latigent, List & Label, Lloyd's List Intelligence, Location intelligence, LogiXML, LucidEra, Market Information in Business intelligence, MarketTools, Master data management, Mergermarket, Meteorological intelligence, Metrics Reference Model, Microsoft Analysis Services, Microsoft Office PerformancePoint Server, MicroStrategy, MicroStrategy Reporting Suite, Mobile business intelligence, Moreover Technologies, Mum software, National Diamond, NxTier, Online video analytics, Opera Solutions, Operational database, Operational system, Organizational diagnostics, Organizational intelligence, Palo (OLAP database), Panopticon Software, ParAccel, Pentaho, Performance intelligence, Pervasive business intelligence, PEST analysis, Pilot Software, Plateau Talent Management Suite, Predictive analytics, Predictive modelling, Qualitative marketing research, Quantitative marketing research, Reactive Business Intelligence, Real-time business intelligence, Reed Construction Data, Report, Resource-based view, Revenue Technology Services...and much more This book explains in-depth the real drivers and workings of Business intelligence (BI). It reduces the risk of your technology, time and resources investment decisions by enabling you to compare your understanding of Business intelligence (BI) with the objectivity of experienced professionals
Introduction To R For Business Intelligence
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Author : Jay Gendron
language : en
Publisher: Packt Publishing Ltd
Release Date : 2016-08-26
Introduction To R For Business Intelligence written by Jay Gendron and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-26 with Computers categories.
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.
Computational Intelligence Applications In Business Intelligence And Big Data Analytics
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Author : Vijayan Sugumaran
language : en
Publisher: CRC Press
Release Date : 2017-06-26
Computational Intelligence Applications In Business Intelligence And Big Data Analytics written by Vijayan Sugumaran and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-26 with Computers categories.
There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.
Building A Digital Analytics Organization
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Author : Judah Phillips
language : en
Publisher: FT Press Analytics
Release Date : 2017-06-28
Building A Digital Analytics Organization written by Judah Phillips and has been published by FT Press Analytics this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-28 with Business & Economics categories.
Digital analytics goes beyond "web" or "site" analytics to encompass a wide spectrum of advanced techniques for using "big data" to reduce costs and increase profit. In Building a Digital Analytics Organization, pioneering expert Judah Phillips thoroughly explains digital analytics to business practitioners, and presents best practices for succeeding with it throughout the business. Phillips covers everything from making the business case through defining and executing strategy, and shows how to successfully integrate analytical processes, technology, and people in all aspects of operations. This unbiased and product-independent guide is replete with examples, many based on the author's own extensive experience. Coverage includes: Understanding the key concepts underlying modern digital analytics Focusing your digital analytics initiative on economic value, not technology Building an organization, choosing the right tools, and understanding their limitations Creating processes and managing data Analyzing digital media, in depth -- including full chapters on paid, owned, and earned media Competitive and qualitative analyses Site optimization and testing, both AB and multivariate Integrated multichannel digital analytics Consumer targeting and marketing automation Understanding the emerging "analytical economy" and its revolutionary implications