Integration Challenges For Analytics Business Intelligence And Data Mining
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| Author | : Azevedo, Ana |
| Publisher | : IGI Global |
| Total Pages | : 250 |
| Release | : 2020-12-11 |
| Genre | : Computers |
| ISBN | : 1799857832 |
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.
| Author | : Aljawarneh, Shadi |
| Publisher | : IGI Global |
| Total Pages | : 263 |
| Release | : 2020-12-18 |
| Genre | : Computers |
| ISBN | : 1799850412 |
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.
| Author | : Information Resources Management Association |
| Publisher | : Engineering Science Reference |
| Total Pages | : 0 |
| Release | : 2022 |
| Genre | : Big data |
| ISBN | : 9781668436622 |
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
| Author | : Hamid R. Nemati |
| Publisher | : IGI Global |
| Total Pages | : 371 |
| Release | : 2004-01-01 |
| Genre | : Business & Economics |
| ISBN | : 1591401356 |
Mountains of business data are piling up in organizations every day. These organizations collect data from multiple sources, both internal and external. These sources include legacy systems, customer relationship management and enterprise resource planning applications, online and e-commerce systems, government organizations and business suppliers and partners. A recent study from the University of California at Berkeley found the amount of data organizations collect and store in enterprise databases doubles every year, and slightly more than half of this data will consist of "reference information," which is the kind of information strategic business applications and decision support systems demand (Kestelyn, 2002). Terabyte-sized (1,000 megabytes) databases are commonplace in organizations today, and this enormous growth will make petabyte-sized databases (1,000 terabytes) a reality within the next few years (Whiting, 2002). By 2004 the Gartner Group estimates worldwide data volumes will be 30 times those of 1999, which translates into more data having been produced in the last 30 years than during the previous 5,000 (Wurman, 1989).
| Author | : Azevedo, Ana |
| Publisher | : IGI Global |
| Total Pages | : 340 |
| Release | : 2014-09-30 |
| Genre | : Computers |
| ISBN | : 1466664789 |
Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.
| Author | : Sun, Zhaohao |
| Publisher | : IGI Global |
| Total Pages | : 357 |
| Release | : 2019-02-22 |
| Genre | : Computers |
| ISBN | : 1522572783 |
Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.
| Author | : Harper, Donta S. |
| Publisher | : IGI Global |
| Total Pages | : 217 |
| Release | : 2021-06-25 |
| Genre | : Business & Economics |
| ISBN | : 1799865185 |
Competencies historically have been vital for skill building, and competency-based approaches have demonstrated their impact on business performance and organizational effectiveness in today’s marketplace. However, this has been discussed exclusively in chapters and books as separate propositions. It is essential to understand the two as linked together, building upon the other, merging individual and organizational perspectives of competencies development. Building Competencies for Organizational Success: Emerging Research and Opportunities presents a narrowly focused discussion of competency-based approaches and performance management and examines how these concepts align with business processes and procedures, management systems, and business objectives. It brings to light a new era of business performance management that complements the collaborative working of individuals and organizations to achieve business desires and addresses such topics as competent organization, knowledge management, and performance management systems. This book helps leaders, managers, executives, consultants, practitioners, academicians, researchers, and students with the understanding of how to utilize intellectual assets as well as how to develop a better future and outcomes for business and people management.
| Author | : Varghese, Abraham |
| Publisher | : IGI Global |
| Total Pages | : 278 |
| Release | : 2022-10-21 |
| Genre | : Medical |
| ISBN | : 1799883442 |
Communicable diseases have been an important part of human history. Epidemics afflicted populations, causing many deaths before gradually fading away and emerging again years after. Epidemics of infectious diseases are occurring more often, and spreading faster and further than ever, in many different regions of the world. The scientific community, in addition to its accelerated efforts to develop an effective treatment and vaccination, is also playing an important role in advising policymakers on possible non-pharmacological approaches to limit the catastrophic impact of epidemics using mathematical and machine learning models. Controlling Epidemics With Mathematical and Machine Learning Models provides mathematical and machine learning models for epidemical diseases, with special attention given to the COVID-19 pandemic. It gives mathematical proof of the stability and size of diseases. Covering topics such as compartmental models, reproduction number, and SIR model simulation, this premier reference source is an essential resource for statisticians, government officials, health professionals, epidemiologists, sociologists, students and educators of higher education, librarians, researchers, and academicians.
| Author | : Wang, John |
| Publisher | : IGI Global |
| Total Pages | : 2862 |
| Release | : 2014-02-28 |
| Genre | : Business & Economics |
| ISBN | : 1466652039 |
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.
| Author | : Jeanne Poulose |
| Publisher | : Springer Nature |
| Total Pages | : 331 |
| Release | : |
| Genre | : |
| ISBN | : 9819729025 |
