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| current trends in business analytics: Business Analytics Principles, Concepts, and Applications with SAS Marc J. Schniederjans, Dara G. Schniederjans, Christopher M. Starkey, 2014-10-07 Responding to a shortage of effective content for teaching business analytics, this text offers a complete, integrated package of knowledge for newcomers to the subject. The authors present an up-to-date view of what business analytics is, why it is so valuable, and most importantly, how it is used. They combine essential conceptual content with clear explanations of the tools, techniques, and methodologies actually used to implement modern business analytics initiatives. Business Analytics Principles, Concepts, and Applications with SAS offers a proven step-wise approach to designing an analytics program, and successfully integrating it into your organization, so it effectively provides intelligence for competitive advantage in decision making. Using step-by-step examples, the authors identify common challenges that can be addressed by business analytics, illustrate each type of analytics (descriptive, prescriptive, and predictive), and guide users in undertaking their own projects. Illustrating the real-world use of statistical, information systems, and management science methodologies, these examples help readers successfully apply the methods they are learning. Unlike most competitive guides, Business Analytics Principles, Concepts, and Applications with SAS demonstrates the use of SAS software, permitting instructors to spend less time teaching software and more time focusing on business analytics itself. |
| current trends in business analytics: 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. |
| current trends in business analytics: Big Data, Big Analytics Michael Minelli, Michele Chambers, Ambiga Dhiraj, 2013-01-22 Unique prospective on the big data analytics phenomenon for both business and IT professionals The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue and profitability. The Age of Big Data is here, and these are truly revolutionary times. This timely book looks at cutting-edge companies supporting an exciting new generation of business analytics. Learn more about the trends in big data and how they are impacting the business world (Risk, Marketing, Healthcare, Financial Services, etc.) Explains this new technology and how companies can use them effectively to gather the data that they need and glean critical insights Explores relevant topics such as data privacy, data visualization, unstructured data, crowd sourcing data scientists, cloud computing for big data, and much more. |
| current trends in business analytics: International Journal of Business Analytics (IJBAN). John Wang, 2015 |
| current trends in business analytics: Competing on Analytics Thomas H. Davenport, Jeanne G. Harris, 2007-03-06 You have more information at hand about your business environment than ever before. But are you using it to “out-think” your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, to accelerate product innovation, to optimize supply chains, and to identify the true drivers of financial performance. A wealth of examples—from organizations as diverse as Amazon, Barclay’s, Capital One, Harrah’s, Procter & Gamble, Wachovia, and the Boston Red Sox—illuminate how to leverage the power of analytics. |
| current trends in business analytics: Business Intelligence Roadmap Larissa Terpeluk Moss, S. Atre, 2003 This software will enable the user to learn about business intelligence roadmap. |
| current trends in business analytics: Trends of Data Science and Applications Siddharth Swarup Rautaray, Phani Pemmaraju, Hrushikesha Mohanty, 2021-03-21 This book includes an extended version of selected papers presented at the 11th Industry Symposium 2021 held during January 7–10, 2021. The book covers contributions ranging from theoretical and foundation research, platforms, methods, applications, and tools in all areas. It provides theory and practices in the area of data science, which add a social, geographical, and temporal dimension to data science research. It also includes application-oriented papers that prepare and use data in discovery research. This book contains chapters from academia as well as practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business analytics, healthcare analytics, bioinformatics, etc. This book is helpful for the students, practitioners, researchers as well as industry professional. |
| current trends in business analytics: Encyclopedia of Business Analytics and Optimization Wang, John, 2014-02-28 As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal. |
| current trends in business analytics: 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. |
| current trends in business analytics: Recent Trends in Data Science and Soft Computing Faisal Saeed, Nadhmi Gazem, Fathey Mohammed, Abdelsalam Busalim, 2018-09-08 This book presents the proceedings of the 3rd International Conference of Reliable Information and Communication Technology 2018 (IRICT 2018), which was held in Kuala Lumpur, Malaysia, on July 23–24, 2018. The main theme of the conference was “Data Science, AI and IoT Trends for the Fourth Industrial Revolution.” A total of 158 papers were submitted to the conference, of which 103 were accepted and considered for publication in this book. Several hot research topics are covered, including Advances in Data Science and Big Data Analytics, Artificial Intelligence and Soft Computing, Business Intelligence, Internet of Things (IoT) Technologies and Applications, Intelligent Communication Systems, Advances in Computer Vision, Health Informatics, Reliable Cloud Computing Environments, Recent Trends in Knowledge Management, Security Issues in the Cyber World, and Advances in Information Systems Research, Theories and Methods. |
| current trends in business analytics: Encyclopedia of Organizational Knowledge, Administration, and Technology Khosrow-Pour D.B.A., Mehdi, 2020-09-29 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. |
| current trends in business analytics: Exploring the Latest Trends in Management Literature Sudhir Rana, 2022-11-14 Exploring the Latest Trends in Management Literature presents cutting edge literature reviews on the emerging concepts, theories, and research trends across management disciplines. |
| current trends in business analytics: Integration Challenges for Analytics, Business Intelligence, and Data Mining Azevedo, Ana, Santos, Manuel Filipe, 2020-12-11 As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students. |
| current trends in business analytics: Special Issue: Knowledge Management - Current Trends and Challenges Małgorzata Zięba, 2017-01-01 Knowledge management (KM) has become an evolving discipline since the early 1990s, when organizations started perceiving knowledge as a valuable resource. This field of research has its origin in many disciplines, such as: information and IT management, computer science, enterprise management, organization science, human resource management and even philosophy, offering many potential research perspectives and approaches. For more than three decades, organizations of various types have been undertaking efforts to apply knowledge management, in order to benefit from a competitive advantage. Researchers and practitioners from diversified industries, and with different backgrounds, have tried to answer the question how to successfully manage knowledge, knowledge work and knowledge workers, still leaving much space for further research avenues Now, after all those years of research, some old questions have still not been answered and some new ones have arisen. During the pre-conference workshop on “The future of KM: short-time goals and long-term vision”, organized in Barcelona before the European Conference on Knowledge Management 2017 and conducted by myself and my colleague, Dr Sandra Moffett from Ulster University (UK), we asked the participants what their idea of the future of KM was. We could observe many different voices and approaches: some very pessimistic that KM is probably coming to an end, but mostly very promising that there are still many unexplored aspects of KM we should focus on and there is still a plethora of issues related to knowledge management that should be examined. Similar voices can be detected in the flagship article written by Meliha Handzic, who claims that KM definitely has a future, although it may not be without some challenges and obstacles to overcome. This paper links the past (three evolutionary stages of KM called fragmentation, integration and fusion) with the future of KM (three new trends named extension, specialization and reconceptualization). The author also suggests that KM should embrace different approaches under the “KM Conceptual Umbrella”, highlighting the possibility of addressing many themes, ideas or tools linked with knowledge. All the past and future evolutionary stages of KM are described in detail, together with the challenges that the KM field might face in the future. In the second paper, by Philip Sisson and Julie J. C. H. Ryan, the authors present a mental model of knowledge as a concept map being an input to KM research. The authors used qualitative methods, together with system engineering and object analysis methods, to collect various concepts and relate them. The issue of knowledge is elementary in knowledge management and showing the links between particular knowledge terms is of very high value to all KM researchers. Although the length of this article may constitute a challenge, it is definitely worth the effort as it illustrates many multifaceted, multilayered and multidimensional aspects of knowledge. The third paper by Karl Joachim Breunig and Hanno Roberts discusses another valid issue of value creation in the context of knowledge flow. The authors try to answer the question: How can we express knowledge in such a way that it can be monetized and made accessible to specific managerial interventions? Building on the previous extant studies and authors’ ideas, the paper points out that boundary spanners play a focal role in the monetization efforts of knowledge. In the fourth paper by Regina Lenart-Gansiniec one can read about crowdsourcing and the virtual knowledge sharing taking place in this process. The phenomenon of crowdsourcing is still under-researched and not much is known about the virtual exchange of knowledge in crowdsourcing and its benefits, such as co-creation, participation or gaining new ideas, and potential sources of innovations. Apart from the examination of the potential benefits of virtual knowledge sharing, the author also analyses ways of measuring virtual knowledge sharing in the process of crowdsourcing. The fifth paper by Kaja Prystupa concerns knowledge management processes in small entities and the role played by organizational culture. As the aim of this paper, the author set the examination of organizational culture in small Polish companies with the application of a symbiotic-interpretive perspective. Interesting outcomes of this study are: the confirmed role of organizational culture in KM initiatives, the importance of the founder and the industry, and the threat posed by organizational growth, which should be well-managed from the perspective of organizational culture so as not to hinder organizational performance. The sixth and the final paper, by David Mendes, Jorge Gomes and Mário Romão, deals with ways of creating intangible value through the use of a corporate employee portal. The authors undertake the effort to explain how such a portal fosters the creation of organizational values built on intangible assets. As the research confirms, an employee portal can be considered as a strategic tool for promoting organizational culture and cooperation, through information and communication fluxes and through the teamwork of collaborative functionalities. This issue of JEMI integrates contributions from Bosnia and Herzegovina, the United States, Norway, Poland and Portugal. I would like to express my gratitude to all the authors who contributed to this special issue, proving that knowledge management is still a valid topic, and offering abundant research opportunities. I would also like to express my sincerest thanks to the anonymous reviewers who contributed highly to the selection of the best submissions for this issue and guided the authors to further improvements in their works. Finally, I would like to pay special thanks to Dr Anna Ujwary-Gil, Editor-in-Chief of JEMI, for her kind invitation to prepare this special issue and her continual support at each stage of its preparation. I do hope that the readers of JEMI find the selected papers valuable and that they enrich their knowledge on KM issues. Additionally, I do believe that the collected works will be inspiring and offer some future directions for the examination of the knowledge management field. Dr. Małgorzata Zięba Guest Editor, JEMI Assistant Professor, Gdansk University of Technology, Poland |
| current trends in business analytics: Trends in E-Business, E-Services, and E-Commerce: Impact of Technology on Goods, Services, and Business Transactions Lee, In, 2013-09-30 This book offers insights into issues, challenges, and solutions related to the successful application and management aspects of electronic business, providing a comprehensive framework for researchers and practitioners in understanding the growing demand of e-business research--Provided by publisher. |
| current trends in business analytics: Effective Data Storytelling Brent Dykes, 2019-12-10 Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data stories Learn the fundamental elements of a data story and key audience drivers Understand the differences between how the brain processes facts and narrative Structure your findings as a data narrative, using a four-step storyboarding process Incorporate the seven essential principles of better visual storytelling into your work Avoid common data storytelling mistakes by learning from historical and modern examples Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators. |
| current trends in business analytics: New Trends in Databases and Information Systems Mārīte Kirikova, Kjetil Nørvåg, George A. Papadopoulos, Johann Gamper, Robert Wrembel, Jérôme Darmont, Stefano Rizzi, 2017-09-08 This book constitutes the thoroughly refereed short papers, workshops and doctoral consortium papers of the 21th European Conference on Advances in Databases and Information Systems, ADBIS 2017, held in Nicosia, Cyprus, in September 2017. The 25 full and 4 short workshop papers and the 12 short papers of the main conference were carefully reviewed and selected from 160 submissions. The papers from the following workshops have been included in the proceedings: the first workshop on Data-Driven Approaches for Analyzing and Managing Scholarly Data, AMSD 2017; the first workshop on Novel Techniques for Integrating Big Data, BigNovelTI 2017; the first international workshop on Data Science: Methodologies and Use-Cases, DaS 2017; the second international workshop on Semantic Web for Cultural Heritage, SW4CH 2017. |
| current trends in business analytics: Business Analytics and Intelligence in Digital Era Dr K. Kumuthadevi , Dr G Vengatesan, Dr Niraj Kumar, 2022-12-30 The International Conference on“Business Analytics and Intelligence in Digital Era” on the 4th and 5th of November 2022. Organized by the Department of B.Com Business Analytics, KPR College of Arts Science and Research (KPRCAS) promoted by the KPR group,is an eminent institution that offers a unique learning experience and equips the young generation with the accurate skill set necessary to meet the unprecedented future challenges in the field of Commerce Specialized with Business Analytics perspectives. ICBA’22 emphases encouraging and promote high-quality research on “AdvancedResearch in Business Analytics and Intelligence in Digital Era across the globeforAcademicians, Researchers,Industrialiststopresenttheirnovelresearchideasandresultsintheirdomain.AnotablenumberofresearchpapershavebeenreceivedinthedisciplinesofMarketing Analytics, HR Analytics, Banking Analytics, and Cybercrime Analytics, Health Care Analytics, Social Media Analytics, Sports Analytics, Web Analytics, Data Visualization, Cluster and Sentimental Analytics and many more relevant fields |
| current trends in business analytics: Business Analytics, Volume II Amar Sahay, 2019-11-08 This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It brings many terms, tools, and methods of analytics together. The first three chapters provide an introduction to BA, importance of analytics, types of BA-descriptive, predictive, and prescriptive-along with the tools and models. Business intelligence (BI) and a case on descriptive analytics are discussed. Additionally, the book discusses on the most widely used predictive models, including regression analysis, forecasting, data mining, and an introduction to recent applications of predictive analytics-machine learning, neural networks, and artificial intelligence. The concluding chapter discusses on the current state, job outlook, and certifications in analytics. |
| current trends in business analytics: Business Analytics for Effective Decision Making Sumi K. V., R. Vasanthagopal, 2024-07-03 Business Analytics for Effective Decision Making is a comprehensive reference that explores the role of business analytics in driving informed decision-making. The book begins with an introduction to business analytics, highlighting its significance in today's dynamic business landscape. The subsequent chapters review various tools and software available for data analytics, addressing both the opportunities and challenges for professionals in different sectors. Readers will find practical insights and real-world case studies across diverse industries, including banking, retail, marketing, and supply chain management. Each chapter provides actionable insights and concludes with implications for implementing data-driven strategies. Key Features: Practical Examples: Real-world case studies and examples make complex concepts easy to understand. Ethical Considerations: Guidance on responsible data usage and addressing ethical implications. Comprehensive Coverage: From data collection to analysis and interpretation, the book covers all aspects of business analytics. Diverse Perspectives: Contributions from industry experts offer diverse insights into data analytics applications in business research, marketing, supply chain and the retail industry. Actionable Insights: Each chapter concludes with practical implications for implementing data-driven strategies. |
| current trends in business analytics: Business and Consumer Analytics: New Ideas Pablo Moscato, Natalie Jane de Vries, 2019-05-30 This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook. |
| current trends in business analytics: Recent Advancements in Computational Finance and Business Analytics Rangan Gupta, |
| current trends in business analytics: New Trends in Process Control and Production Management Lenka Štofová, Petra Szaryszová, 2017-09-27 Dynamic economics, technological changes, increasing pressure from competition and customers to improve manufacturing and services are some of the major challenges to enterprises these days. New ways of improving organizational activities and management processes have to be created, in order to allow enterprises to manage the seemingly intensifying competitive markets successfully. Enterprises apply business optimizing solutions to meet new challenges and conditions. But also ensuring effective development for long-term competitiveness in a global environment. This is necessary for the application of qualitative changes in the industrial policy. “New Trends in Process Control and Production Management” (MTS 2017) is the collection of research papers from authors from seven countries around the world. They present case studies and empirical research which illustrates the progressive trends in business process management and the drive to achieve enterprise development and sustainability. |
| current trends in business analytics: Business Analytics Thomas W. Jackson, Steven Lockwood, 2018-09-21 This innovative new textbook, co-authored by an established academic and a leading practitioner, is the first to bring together issues of cloud computing, business intelligence and big data analytics in order to explore how organisations use cloud technology to analyse data and make decisions. In addition to offering an up-to-date exploration of key issues relating to data privacy and ethics, information governance, and the future of analytics, the text describes the options available in deploying analytic solutions to the cloud and draws on real-world, international examples from companies such as Rolls Royce, Lego, Volkswagen and Samsung. Combining academic and practitioner perspectives that are crucial to the understanding of this growing field, Business Analytics acts an ideal core text for undergraduate, postgraduate and MBA modules on Big Data, Business and Data Analytics, and Business Intelligence, as well as functioning as a supplementary text for modules in Marketing Analytics. The book is also an invaluable resource for practitioners and will quickly enable the next generation of 'Information Builders' within organisations to understand innovative cloud based-analytic solutions. |
| current trends in business analytics: Heuristics in Analytics Carlos Andre Reis Pinheiro, Fiona McNeill, 2014-03-03 Employ heuristic adjustments for truly accurate analysis Heuristics in Analytics presents an approach to analysis that accounts for the randomness of business and the competitive marketplace, creating a model that more accurately reflects the scenario at hand. With an emphasis on the importance of proper analytical tools, the book describes the analytical process from exploratory analysis through model developments, to deployments and possible outcomes. Beginning with an introduction to heuristic concepts, readers will find heuristics applied to statistics and probability, mathematics, stochastic, and artificial intelligence models, ending with the knowledge applications that solve business problems. Case studies illustrate the everyday application and implication of the techniques presented, while the heuristic approach is integrated into analytical modeling, graph analysis, text analytics, and more. Robust analytics has become crucial in the corporate environment, and randomness plays an enormous role in business and the competitive marketplace. Failing to account for randomness can steer a model in an entirely wrong direction, negatively affecting the final outcome and potentially devastating the bottom line. Heuristics in Analytics describes how the heuristic characteristics of analysis can be overcome with problem design, math and statistics, helping readers to: Realize just how random the world is, and how unplanned events can affect analysis Integrate heuristic and analytical approaches to modeling and problem solving Discover how graph analysis is applied in real-world scenarios around the globe Apply analytical knowledge to customer behavior, insolvency prevention, fraud detection, and more Understand how text analytics can be applied to increase the business knowledge Every single factor, no matter how large or how small, must be taken into account when modeling a scenario or event—even the unknowns. The presence or absence of even a single detail can dramatically alter eventual outcomes. From raw data to final report, Heuristics in Analytics contains the information analysts need to improve accuracy, and ultimately, predictive, and descriptive power. |
| current trends in business analytics: FUTURE OF INTELLIGENCE: Integrating Big Data, AI, ML, and Generative AI for Business Transformation Venkata Nagesh Boddapati, Vishwanadham Mandala, Gagan Kumar Patra, Fnu Samaah, .... |
| current trends in business analytics: Analytics and Big Data for Accountants Jim Lindell, 2020-10-29 Why is big data analytics one of the hottest business topics today? This book will help accountants and financial managers better understand big data and analytics, including its history and current trends. It dives into the platforms and operating tools that will help you measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators. Key topics covered include: Evidence-based techniques for finding or generating data, selecting key performance indicators, isolating program effects Relating data to return on investment, financial values, and executive decision making Data sources including surveys, interviews, customer satisfaction, engagement, and operational data Visualizing and presenting complex results |
| current trends in business analytics: Business Analytics Dr. K. Soundararajan, Dr. Kadhirvel Ramasamy , 2022-03-03 Buy E-Book of Business Analytics Book For MBA 2nd Semester of Anna University, Chennai |
| current trends in business analytics: BASIC BUSINESS ANALYTICS USING R Dr. Mahavir M. Shetiya, Prof. Snehal V. Bhambure, 2023-11-10 Buy BASIC BUSINESS ANALYTICS USING R e-Book for Mba 2nd Semester in English language specially designed for SPPU ( Savitribai Phule Pune University ,Maharashtra) By Thakur publication. |
| current trends in business analytics: Advances in Artificial-Business Analytics and Quantum Machine Learning K. C. Santosh, |
| current trends in business analytics: Decision Support, Analytics, and Business Intelligence, Third Edition Daniel J. Power, Ciara Heavin, 2017-06-08 Rapid technology change is impacting organizations large and small. Mobile and Cloud computing, the Internet of Things (IoT), and “Big Data” are driving forces in organizational digital transformation. Decision support and analytics are available to many people in a business or organization. Business professionals need to learn about and understand computerized decision support for organizations to succeed. This text is targeted to busy managers and students who need to grasp the basics of computerized decision support, including: What is analytics? What is a decision support system? What is “Big Data”? What are “Big Data” business use cases? Overall, it addresses 61 fundamental questions. In a short period of time, readers can “get up to speed” on decision support, analytics, and business intelligence. The book then provides a quick reference to important recurring questions. |
| current trends in business analytics: Business Trends in Practice Bernard Marr, 2021-11-15 WINNER OF THE BUSINESS BOOK OF THE YEAR AWARD 2022! Stay one step ahead of the competition with this expert review of the most impactful and disruptive business trends coming down the pike Far from slowing down, change and transformation in business seems to come only at a more and more furious rate. The last ten years alone have seen the introduction of groundbreaking new trends that pose new opportunities and challenges for leaders in all industries. In Business Trends in Practice: The 25+ Trends That Are Redefining Organizations, best-selling business author and strategist Bernard Marr breaks down the social and technological forces underlying these rapidly advancing changes and the impact of those changes on key industries. Critical consumer trends just emerging today—or poised to emerge tomorrow—are discussed, as are strategies for rethinking your organisation’s product and service delivery. The book also explores: Crucial business operations trends that are changing the way companies conduct themselves in the 21st century The practical insights and takeaways you can glean from technological and social innovation when you cut through the hype Disruptive new technologies, including AI, robotic and business process automation, remote work, as well as social and environmental sustainability trends Business Trends in Practice: The 25+ Trends That Are Redefining Organizations is a must-read resource for executives, business leaders and managers, and business development and innovation leads trying to get – and stay – on top of changes and disruptions that are right around the corner. |
| current trends in business analytics: Analytics at Work Thomas H. Davenport, Jeanne G. Harris, Robert Morison, 2010 As a follow-up to the successful Competing on Analytics, authors Tom Davenport, Jeanne Harris, and Robert Morison provide practical frameworks and tools for all companies that want to use analytics as a basis for more effective and more profitable decision making. Regardless of your company's strategy, and whether or not analytics are your company's primary source of competitive differentiation, this book is designed to help you assess your organization's analytical capabilities, provide the tools to build these capabilities, and put analytics to work. The book helps you answer these pressing questions: What assets do I need in place in my organization in order to use analytics to run my business? Once I have these assets, how do I deploy them to get the most from an analytic approach? How do I get an analytic initiative off the ground in the first place, and then how do I sustain analytics in my organization over time? Packed with tools, frameworks, and all new examples, Analytics at Work makes analytics understandable and accessible and teaches you how to make your company more analytical. |
| current trends in business analytics: The Performance Management Revolution Howard Dresner, 2007-10-16 The Performance Management Revolution shows you how your business can get prepared for the future—transforming strategies into plans, plans into actions, and actions into results. Written by Howard Dresner, a worldwide authority in the area of business intelligence and performance management, this lucid book offers great insight into strategies that any company interested in improving its business performance and accountability could adopt. This visionary book provides an intelligent framework toward the path to better performance through insight and action. |
| current trends in business analytics: Impacts and Challenges of Cloud Business Intelligence Aljawarneh, Shadi, Malhotra, Manisha, 2020-12-18 Cloud computing provides an easier alternative for starting an IT-based business organization that requires much less of an initial investment. Cloud computing offers a significant edge of traditional computing with big data being continuously transferred to the cloud. For extraction of relevant data, cloud business intelligence must be utilized. Cloud-based tools, such as customer relationship management (CRM), Salesforce, and Dropbox are increasingly being integrated by enterprises looking to increase their agility and efficiency. Impacts and Challenges of Cloud Business Intelligence is a cutting-edge scholarly resource that provides comprehensive research on business intelligence in cloud computing and explores its applications in conjunction with other tools. Highlighting a wide range of topics including swarm intelligence, algorithms, and cloud analytics, this book is essential for entrepreneurs, IT professionals, managers, business professionals, practitioners, researchers, academicians, and students. |
| current trends in business analytics: Technology and Luxury Hospitality Park Thaichon, Pushan Kumar Dutta, Pethuru Raj Chelliah, Sachin Gupta, 2024-06-28 The integration of pioneering information and communication technologies has transformed the hospitality sector. This groundbreaking book delves into the transformative power of cutting-edge technologies in the world of high-end travel and accommodation. As the digital revolution continues to reshape our lives, this book offers an exclusive look at how the hospitality industry is adapting and evolving to cater to the sophisticated tastes of the modern, tech-savvy traveller. In this eye-opening exploration, readers will be taken on a journey through the latest innovations in artificial intelligence, blockchain, and the metaverse as they intersect with the world of luxury hospitality. From AI-driven concierge services and smart hotel rooms that cater to guests' every whim to the democratization of luxury experiences through blockchain-based loyalty programmes and the rise of virtual reality travel, this book reveals the extraordinary possibilities that lie ahead for the discerning traveller. With insights from international experts, this edited collection provides a comprehensive and engaging overview of the current and future trends shaping the industry and will be valuable to scholars and postgraduate researchers across the hospitality sector, innovation, and luxury management. |
| current trends in business analytics: AI-Powered Business Intelligence for Modern Organizations Natarajan, Arul Kumar, Galety, Mohammad Gouse, Iwendi, Celestine, Das, Deepthi, Shankar, Achyut, 2024-10-01 Technology’s rapid advancement has revolutionized how organizations gather, analyze, and utilize data. In this dynamic landscape, integrating artificial intelligence (AI) into business intelligence (BI) systems has emerged as a critical factor for driving informed decision-making and maintaining competitive advantage. This integration allows business to respond quickly to market changes, personalize customer experiences, and optimize operations with greater precision. As AI-driven BI tools continue to evolve, they empower organizations to harness vast amounts of data more effectively, making strategic decisions that are both timely and data-driven, thereby securing their position in an increasingly competitive marketplace. AI-Powered Business Intelligence for Modern Organizations provides a comprehensive overview of this transformative intersection, addressing the diverse challenges, opportunities, and future trends in this field. By exploring the integration of AI into BI systems, the text delves into how advanced analytics, machine learning, and automation are reshaping the way businesses operate. Covering topics such as augmented analytics, decision-making, and sustainability metrics, this book is an excellent resource for business leaders and executives, data scientists and analysts, IT and technology managers, academicians, researchers, graduate and postgraduate students, consultants, industry experts, and more. |
| current trends in business analytics: Current Trends in Science Dr Rima Manish Kumar, Dr Rita Sangtani, |
| current trends in business analytics: Leading Issues in Knowledge Management, Volume Two Ken Grant and John Dumay, 2015-07-27 Knowledge Management is here to stay. This book is a compilation of a number of important papers on this subject selected by two leaders in this field of study. A wide range of topic have been chosen which leads the reader through some of the most important considerations in the field today. The book argues that this thing called Knowledge Management has been around for at least 25 years. Yet despite being accused, at several times in that period, of being nothing more than a passing management fad or fashion, it has retained or rather sustained interest by both academics and practitioners. Publication levels in a variety of related journals remains high and organisations continue to implement strategies, processes and systems to create and share knowledge assets of importance to their business. One reason for this situation is the reality that Knowledge Management is, to a large degree, an amalgam of a number of different academic areas. A variety of academic disciplines (strategy, sociology, psychology, IT, library sciences and accounting, to mention only a few) have all made contributions. Practitioners recognize the key terms and have a loose understanding of the general subject matter, however formal education in the field is still limited and focused in a few areas. Indeed only a few KM departments exist across the world and most KM education seems to occur in the library science and IT faculties, and not in the business studies departments, where it truly belongs. This book is an important text for academics, researchers, students and practitioners. |
| current trends in business analytics: Data Science and Business Intelligence for Corporate Decision-Making Dr. P. S. Aithal, 2024-02-09 About the Book: A comprehensive book plan on Data Science and Business Intelligence for Corporate Decision-Making with 15 chapters, each with several sections: Chapter 1: Introduction to Data Science and Business Intelligence Chapter 2: Foundations of Data Science Chapter 3: Business Intelligence Tools and Technologies Chapter 4: Data Visualization for Decision-Making Chapter 5: Machine Learning for Business Intelligence Chapter 6: Big Data Analytics Chapter 7: Data Ethics and Governance Chapter 8: Data-Driven Decision-Making Process Chapter 9: Business Intelligence in Marketing Chapter 10: Financial Analytics and Business Intelligence Chapter 11: Operational Excellence through Data Analytics Chapter 12: Human Resources and People Analytics Chapter 13: Case Studies in Data-Driven Decision-Making Chapter 14: Future Trends in Data Science and Business Intelligence Chapter 15: Implementing Data Science Strategies in Corporations Each chapter dives deep into the concepts, methods, and applications of data science and business intelligence, providing practical insights, real-world examples, and case studies for corporate decision-making processes. |
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