Predictive Intelligence for Data-Driven Managers

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Author :
Publisher : Springer Nature
ISBN 13 : 3030694038
Total Pages : 275 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Predictive Intelligence for Data-Driven Managers by : Uwe Seebacher

Download or read book Predictive Intelligence for Data-Driven Managers written by Uwe Seebacher and published by Springer Nature. This book was released on 2021-03-26 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes how companies can easily and pragmatically set up and realize the path to a data-driven enterprise, especially in the marketing practice, without external support and additional investments. Using a predictive intelligence (PI) ecosystem, the book first introduces and explains the most important concepts and terminology. The PI maturity model then describes the phases in which you can build a PI ecosystem in your company. The book also demonstrates a PI self-test which helps managers identify the initial steps. In addition, a blueprint for a PI tech stack is defined for the first time, showing how IT can best support the topic. Finally, the PI competency model summarizes all elements into an action model for the company. The entire book is underpinned with practical examples, and case studies show how predictive intelligence, in the spirit of data-driven management, can be used profitably in the short, medium, and long terms.

Data Driven

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Author :
Publisher : Harvard Business Press
ISBN 13 : 1422163644
Total Pages : 257 pages
Book Rating : 4.4/5 (221 download)

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Book Synopsis Data Driven by : Thomas C. Redman

Download or read book Data Driven written by Thomas C. Redman and published by Harvard Business Press. This book was released on 2008-09-22 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Your company's data has the potential to add enormous value to every facet of the organization -- from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused -- or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. The author reveals: · The special properties that make data such a powerful asset · The hidden costs of flawed, outdated, or otherwise poor-quality data · How to improve data quality for competitive advantage · Strategies for exploiting your data to make better business decisions · The many ways to bring data to market · Ideas for dealing with political struggles over data and concerns about privacy rights Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.

Data-driven Management

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Author :
Publisher :
ISBN 13 :
Total Pages : 70 pages
Book Rating : 4.7/5 (47 download)

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Book Synopsis Data-driven Management by : Julián Garritz

Download or read book Data-driven Management written by Julián Garritz and published by . This book was released on 2021-04-19 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: essentials is a series of books specially designed for readers who want to gain an overview of a topic in a short time. These books contain the essence of what is considered "state of the art" in the current professional discussion and in practice. essentials inform quick, straightforward and easy to understand. Data-driven management (DDM) is on everyone's lips. New technologies offer unimagined opportunities if they are used with concept and competence. The buzzwords are Big Data, Blockchain, Artificial Intelligence (AI), Machine Learning or Predictive Marketing. But according to a recent study by Fujitsu, just 5% of all companies today can be considered "data-driven," meaning that 95% of all organizations are flying blind on data. This represents a huge risk for all stakeholders. Moreover, in this context, many managers believe that simply buying an AI-IT solution will solve this data blindness problem, which is a huge fallacy. Because just like children in elementary school who first learn mental arithmetic and only then reach for the calculator, managers must first master and learn the basic concepts and competencies of data-driven management in order to be able to apply and use these new technologies in a meaningful and valid way. This book briefly and concisely describes the path to data-driven management based on the authors' tried-and-tested process model. Without prior knowledge, you get a comprehensive insight into the subject matter with many relevant concepts and tips. The most important terms in the environment of data-driven management are explained. The process model shows and describes the individual steps simply and understandably for everyone, in order to quickly and effectively implement a stringent data-driven management without external experts and investments. What you can find in this essential: - An introduction to the current situation and the importance of data-driven management (DDM) - Various short definitions of relevant terms in the context of DDM - A tool for status analysis on DDM in an organization - A process model for the development or optimization of an already existing system to DDM - The Quick Check for the self-assessment to determine the own DDM-Readiness - Brief presentation of various templates and tools that have been tested and are relevant - An outlook on the further development of DDM - Many further links to articles and sources to deepen the content in this essential About the authors: Prof. h.c. Dr. Uwe Seebacher (MBA), who holds a doctorate in economics and business administration, has more than 25 years of experience as a consultant, manager but also entrepreneur in the media, production and service industries with international success-es in strategic and operational marketing and communications as well as in process optimization, digitalization, human resources management and organizational development. Julian Garritz has a degree in History from the National Autonomous University of Mexico. He is Founder and CEO of Garritz International, a digital agency and consulting firm with presence in Latin America, the United States and Europe. Leading the group's strategy from Frankfurt, Germany, he has successfully developed an international network that serves clients in different segments, including financial services, entertainment, health and industrial businesses.

Be Data Driven

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Author :
Publisher : Kogan Page Publishers
ISBN 13 : 1398606553
Total Pages : 241 pages
Book Rating : 4.3/5 (986 download)

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Book Synopsis Be Data Driven by : Jordan Morrow

Download or read book Be Data Driven written by Jordan Morrow and published by Kogan Page Publishers. This book was released on 2022-08-03 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make any team or business data driven with this practical guide to overcoming common challenges and creating a data culture. Businesses are increasingly focusing on their data and analytics strategy, but a data-driven culture grounded in evidence-based decision making can be difficult to achieve. Be Data Driven outlines a step-by-step roadmap to building a data-driven organization or team, beginning with deciding on outcomes and a strategy before moving onto investing in technology and upskilling where necessary. This practical guide explains what it means to be a data-driven organization and explores which technologies are advancing data and analytics. Crucially, it also examines the most common challenges to becoming data driven, from a foundational skills gap to issues with leadership and strategy and the impact of organizational culture. With case studies of businesses who have successfully used data, Be Data Driven shows managers, leaders and data professionals how to address hurdles, encourage a data culture and become truly data driven.

AI-Enabled Analytics for Business

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119736080
Total Pages : 243 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis AI-Enabled Analytics for Business by : Lawrence S. Maisel

Download or read book AI-Enabled Analytics for Business written by Lawrence S. Maisel and published by John Wiley & Sons. This book was released on 2022-01-19 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are entering the era of digital transformation where human and artificial intelligence (AI) work hand in hand to achieve data driven performance. Today, more than ever, businesses are expected to possess the talent, tools, processes, and capabilities to enable their organizations to implement and utilize continuous analysis of past business performance and events to gain forward-looking insight to drive business decisions and actions. AI-Enabled Analytics in Business is your Roadmap to meet this essential business capability. To ensure we can plan for the future vs react to the future when it arrives, we need to develop and deploy a toolbox of tools, techniques, and effective processes to reveal forward-looking unbiased insights that help us understand significant patterns, relationships, and trends. This book promotes clarity to enable you to make better decisions from insights about the future. Learn how advanced analytics ensures that your people have the right information at the right time to gain critical insights and performance opportunities Empower better, smarter decision making by implementing AI-enabled analytics decision support tools Uncover patterns and insights in data, and discover facts about your business that will unlock greater performance Gain inspiration from practical examples and use cases showing how to move your business toward AI-Enabled decision making AI-Enabled Analytics in Business is a must-have practical resource for directors, officers, and executives across various functional disciplines who seek increased business performance and valuation.

Marketing and Sales Automation

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Author :
Publisher : Springer Nature
ISBN 13 : 3031200403
Total Pages : 466 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Marketing and Sales Automation by : Uwe Hannig

Download or read book Marketing and Sales Automation written by Uwe Hannig and published by Springer Nature. This book was released on 2023-05-02 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book clarifies based on latest findings and research what one needs to know about marketing and sales automation, how to manage projects to implement them, select and implement tools, and what results can be achieved. It also outlines what can be expected in the future such as the automation of corporate communication and Human Resources. The range of topics spans from the creation of a valid data base in the context of applied AI for realizing predictive intelligence and the effects of data regulations such as the European General Data Protection Regulation (GDPR) when addressing customers and prospects to recommendations for selecting and implementing the necessary IT systems. Experts also report on their experiences in regard to Conversion-rate-optimization (CRO) and provide tips and assistance on how to optimize and ensure the highest RoI for marketing and sales automation. A special focus will be placed on the dovetailing of marketing and sales and the management of the customer journey as well as the improvement of the customer experience.

Predictive Intelligence Using Big Data and the Internet of Things

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Author :
Publisher : IGI Global
ISBN 13 : 1522562117
Total Pages : 300 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Predictive Intelligence Using Big Data and the Internet of Things by : Gupta, P.K.

Download or read book Predictive Intelligence Using Big Data and the Internet of Things written by Gupta, P.K. and published by IGI Global. This book was released on 2018-12-28 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the recent growth of big data and the internet of things (IoT), individuals can now upload, retrieve, store, and collect massive amounts of information to help drive decisions and optimize processes. Due to this, a new age of predictive computing is taking place, and data can now be harnessed to predict unknown occurrences or probabilities based on data collected in real time. Predictive Intelligence Using Big Data and the Internet of Things highlights state-of-the-art research on predictive intelligence using big data, the IoT, and related areas to ensure quality assurance and compatible IoT systems. Featuring coverage on predictive application scenarios to discuss these breakthroughs in real-world settings and various methods, frameworks, algorithms, and security concerns for predictive intelligence, this book is ideally designed for academicians, researchers, advanced-level students, and technology developers.

Decision Intelligence Analytics and the Implementation of Strategic Business Management

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Author :
Publisher : Springer Nature
ISBN 13 : 3030827631
Total Pages : 236 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Decision Intelligence Analytics and the Implementation of Strategic Business Management by : P. Mary Jeyanthi

Download or read book Decision Intelligence Analytics and the Implementation of Strategic Business Management written by P. Mary Jeyanthi and published by Springer Nature. This book was released on 2022-01-01 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a framework for developing an analytics strategy that includes a range of activities, from problem definition and data collection to data warehousing, analysis, and decision making. The authors examine best practices in team analytics strategies such as player evaluation, game strategy, and training and performance. They also explore the way in which organizations can use analytics to drive additional revenue and operate more efficiently. The authors provide keys to building and organizing a decision intelligence analytics that delivers insights into all parts of an organization. The book examines the criteria and tools for evaluating and selecting decision intelligence analytics technologies and the applicability of strategies for fostering a culture that prioritizes data-driven decision making. Each chapter is carefully segmented to enable the reader to gain knowledge in business intelligence, decision making and artificial intelligence in a strategic management context.

Data Driven Decision Making using Analytics

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Author :
Publisher : CRC Press
ISBN 13 : 1000506436
Total Pages : 150 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Data Driven Decision Making using Analytics by : Parul Gandhi

Download or read book Data Driven Decision Making using Analytics written by Parul Gandhi and published by CRC Press. This book was released on 2021-12-21 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to explain Data Analytics towards decision making in terms of models and algorithms, theoretical concepts, applications, experiments in relevant domains or focused on specific issues. It explores the concepts of database technology, machine learning, knowledge-based system, high performance computing, information retrieval, finding patterns hidden in large datasets and data visualization. Also, it presents various paradigms including pattern mining, clustering, classification, and data analysis. Overall aim is to provide technical solutions in the field of data analytics and data mining. Features: Covers descriptive statistics with respect to predictive analytics and business analytics. Discusses different data analytics platforms for real-time applications. Explain SMART business models. Includes algorithms in data sciences alongwith automated methods and models. Explores varied challenges encountered by researchers and businesses in the realm of real-time analytics. This book aims at researchers and graduate students in data analytics, data sciences, data mining, and signal processing.

Data-Driven Approaches for Effective Managerial Decision Making

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Author :
Publisher : IGI Global
ISBN 13 : 1668475707
Total Pages : 354 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Data-Driven Approaches for Effective Managerial Decision Making by : Anubha

Download or read book Data-Driven Approaches for Effective Managerial Decision Making written by Anubha and published by IGI Global. This book was released on 2023-05-08 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today’s competitive market, a manager must be able to look at data, understand it, analyze it, and then interpret it to design a smart business strategy. Big data is also a valuable source of information on how customers interact with firms through various mediums such as social media platforms, online reviews, and many more. The applications and uses of business analytics are numerous and must be further studied to ensure they are utilized appropriately. Data-Driven Approaches for Effective Managerial Decision Making investigates management concepts and applications using data analytics and outlines future research directions. The book also addresses contemporary advancements and innovations in the field of management. Covering key topics such as big data, business intelligence, and artificial intelligence, this reference work is ideal for managers, business owners, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

Reengineering Corporate Communication

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Publisher : Springer Nature
ISBN 13 : 303103838X
Total Pages : 274 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Reengineering Corporate Communication by : Uwe Seebacher

Download or read book Reengineering Corporate Communication written by Uwe Seebacher and published by Springer Nature. This book was released on 2022-07-28 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book employs the latest insights from modern marketing into the theory and practice of corporate communication, including the main stages and goals, and highlights the key potentials for the field. It briefly presents the essential features of the methodological and structural sciences in order to illustrate to the reader how, from a marketer's point of view, these new insights can be derived objectively, reliably, and validly for the field of corporate communication according to scientific criteria. The book then introduces the maturity model for modern corporate communication and describes which fields of activity must be gone through in order to be able to implement the change management process towards corporate communication excellence efficiently and effectively. Building on this, it introduces and defines the most important new concepts of corporate communication in the twenty-first century and thus clearly delineates the field of research for this corporate function in the coming years. The book goes on to address the important areas of IT and HR in order to provide a 360° view of the developments to be realized in the field of corporate communication. A “CC self-test” at the end of the book is intended to help the reader immediately recognize where their own organization stands and, against this backdrop, to be able to start the necessary activities towards corporate communication excellence immediately on the basis of the maturity model. “Prof. Dr. Uwe Seebacher takes us on a timely and informative read on what could be the biggest crisis for Corporate Communications – remaining stagnant in a time of great change. With rich context and fine detail, he illuminates the opportunities to reengineer Corporate Communications and quantify its role in truly impacting business. From the importance of predictive intelligence underpinned by authenticity and empathy to building trust, this book is a guide for successful business in the 21st Century. I highly recommend it.” Heidi Eusebio, Strategist and Executive Director, Edelman "Uwe Seebacher has once again demonstrated in a well-founded manner what methodological and structural science is capable of - namely, to precisely logically derive the long overdue process of change in the field of corporate communications and thereby make it comprehensible. But he also takes the important next step of operationalizing his thoughts in a directly measurable way by providing an easy applicable concrete process model for reengineering corporate communication with many tips, templates and inputs for HR and IT.“ Miguel Gimenez de Castro, Head Of Communications Spain, Portugal, Greece and Israel, IBM

Data-Driven Decision Making for Long-Term Business Success

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 515 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Data-Driven Decision Making for Long-Term Business Success by : Singh, Sonia

Download or read book Data-Driven Decision Making for Long-Term Business Success written by Singh, Sonia and published by IGI Global. This book was released on 2023-12-21 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.

The Data Driven Leader

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119382211
Total Pages : 272 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis The Data Driven Leader by : Jenny Dearborn

Download or read book The Data Driven Leader written by Jenny Dearborn and published by John Wiley & Sons. This book was released on 2017-10-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.

The Data Driven Leader

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119382203
Total Pages : 272 pages
Book Rating : 4.1/5 (193 download)

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Book Synopsis The Data Driven Leader by : Jenny Dearborn

Download or read book The Data Driven Leader written by Jenny Dearborn and published by John Wiley & Sons. This book was released on 2017-11-06 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.

Managerial Perspectives on Intelligent Big Data Analytics

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Author :
Publisher : IGI Global
ISBN 13 : 1522572783
Total Pages : 335 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Managerial Perspectives on Intelligent Big Data Analytics by : Sun, Zhaohao

Download or read book Managerial Perspectives on Intelligent Big Data Analytics written by Sun, Zhaohao and published by IGI Global. This book was released on 2019-02-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Intelligent Techniques for Predictive Data Analytics

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1394227965
Total Pages : 276 pages
Book Rating : 4.3/5 (942 download)

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Book Synopsis Intelligent Techniques for Predictive Data Analytics by : Neha Singh

Download or read book Intelligent Techniques for Predictive Data Analytics written by Neha Singh and published by John Wiley & Sons. This book was released on 2024-07-30 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, this process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture Fraud detection and prevention, credit scoring, financial planning, and customer analytics Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.

Customer Centric Support Services in the Digital Age

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Author :
Publisher : Springer Nature
ISBN 13 : 303137097X
Total Pages : 308 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis Customer Centric Support Services in the Digital Age by : Jagdish N. Sheth

Download or read book Customer Centric Support Services in the Digital Age written by Jagdish N. Sheth and published by Springer Nature. This book was released on 2023-12-30 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores how customer service can become the singular competitive differentiator for organizations in the digital era. Given the pace of digitization and the rise in customer expectations post-pandemic, organizations must focus on customer-centricity in all functions in the digital age, providing factors, enablers, and processes for customer service and sharing best practices based on research from global experts. The book is a valuable resource for students and researchers keen on understanding the new digital landscape in customer service to develop, maintain, and enhance customer relationships.