Predictive Intelligence For Data Driven Managers

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Predictive Intelligence for Data-Driven Managers

Author : Uwe Seebacher
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 Management

Author : Julián Garritz
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.

Data-Driven Approaches for Effective Managerial Decision Making

Author : Anubha
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 todays 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.

AI-Based Predictive Analytics

Author : Minghai Zheng
Publisher : Independently Published
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.3/5 (968 download)

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Book Synopsis AI-Based Predictive Analytics by : Minghai Zheng

Download or read book AI-Based Predictive Analytics written by Minghai Zheng and published by Independently Published. This book was released on 2023-06-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 1. #DataDrivenDecisions #PredictiveAnalytics Unlock the power of data-driven decisions with AI-based predictive analytics! This book provides the insights and tools you need to make informed decisions based on data. 2. #AIinBusiness #PredictiveModeling Stay ahead of the competition with AI-based predictive analytics. Learn how to implement predictive modeling in your business with this must-read book. 3. #BigDataInsights #DecisionMaking Want to make better decisions based on big data insights? Look no further than "AI-Based Predictive Analytics." This book is your ultimate guide to leveraging the power of AI for predictive analytics. 4. #MachineLearning #DataAnalysis Discover the latest machine learning techniques for data analysis with "AI-Based Predictive Analytics." This book will help you make sense of complex data sets and turn them into actionable insights. 5. #BusinessIntelligence #AIinAction Maximize your business intelligence capabilities with AI-based predictive analytics. Get your copy of this book to learn how to implement these powerful strategies in your organization. In today's data-driven world, predictive analytics has emerged as a powerful tool for organizations looking to make informed decisions based on data. By analyzing historical data and identifying patterns, predictive analytics enables businesses to predict future outcomes and take proactive measures to improve outcomes. With the rise of artificial intelligence (AI), predictive analytics has become even more sophisticated, offering new ways to analyze data and uncover insights that were previously impossible to obtain. The book "AI-Based Predictive Analytics: Empowering Data-Driven Decisions" provides a comprehensive guide on how to implement AI-based predictive analytics strategies in your organization. Whether you're an analyst, data scientist, or business leader, this book will provide you with practical insights and tools to improve decision-making and drive success. In this book, we'll explore various ways in which AI can be used in predictive analytics. We'll discuss the latest machine learning techniques, including deep learning, natural language processing, and regression analysis. Additionally, we'll examine case studies of successful implementations of AI-based predictive analytics in different industries, along with the benefits and challenges associated with these implementations. Whether you're looking to reduce costs, improve efficiency, or enhance customer experiences, this book will provide you with the knowledge and tools needed to achieve your goals. The chapters that follow will delve deeper into specific topics related to AI-based predictive analytics, providing you with a comprehensive guide for implementing these strategies in your organization. MingHai Zheng is the founder of zhengpublishing.com and lives in Wuhan, China. His main publishing areas are business, management, self-help, computers and other emerging foreword fields.

Decision Intelligence Analytics and the Implementation of Strategic Business Management

Author : P. Mary Jeyanthi
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

Author : Parul Gandhi
Publisher : CRC Press
ISBN 13 : 1000506436
Total Pages : 151 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 2021-12-16 with total page 151 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.

Marketing and Sales Automation

Author : Uwe Hannig
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.

Managerial Perspectives on Intelligent Big Data Analytics

Author : Sun, Zhaohao
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.

Predictive Intelligence Using Big Data and the Internet of Things

Author : Gupta, P.K.
Publisher : IGI Global
ISBN 13 : 1522562117
Total Pages : 316 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 316 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.

Predictive Analytics and Generative AI for Data-Driven Marketing Strategies

Author : Debdutta Choudhury
Publisher :
ISBN 13 : 9781032748917
Total Pages : 0 pages
Book Rating : 4.7/5 (489 download)

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Book Synopsis Predictive Analytics and Generative AI for Data-Driven Marketing Strategies by : Debdutta Choudhury

Download or read book Predictive Analytics and Generative AI for Data-Driven Marketing Strategies written by Debdutta Choudhury and published by . This book was released on 2024-12-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides an in-depth exploration of cutting-edge technologies and how they are used to support data-driven marketing strategies and empower organizations to make the right decisions. It includes real-world case studies and examples from diverse marketing domains, demonstrating how predictive analytics and generative AI have been successfully applied to solve marketing challenges and drive tangible results. It showcases emerging trends in predictive analytics and generative AI for marketing, and potential impact on the future of data-driven marketing. This book is meant for professionals and scholars to gather the skills and resources to effectively use predictive analytics and generative AI for marketing strategies. - Examines the different predictive analytics models and algorithms, such as regression analysis, decision trees, and neural networks, and demonstrates how they may be utilized to get insightful conclusions from marketing data. - Includes generative AI techniques such as generative adversarial networks (GANs) and variational autoencoders (VAEs), showcasing how these techniques can generate synthetic data for marketing insights and decision-making. - Highlights the importance of data-driven marketing choices and illustrates how generative AI and predictive analytics may be quite useful in this context. - Integrates the principles of data science with marketing concepts, offering a cohesive understanding of how predictive analytics and generative AI can power data-driven marketing decisions. - Present the recent advances in predictive analytics and generative AI, discuss how they can affect the area of data-driven marketing.

The Data Driven Leader

Author : Jenny Dearborn
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.

Reengineering Corporate Communication

Author : Uwe Seebacher
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

Author : Singh, Sonia
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.

Data-Driven Science and Engineering

Author : Steven L. Brunton
Publisher : Cambridge University Press
ISBN 13 : 1009098489
Total Pages : 615 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton

Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Customer Centric Support Services in the Digital Age

Author : Jagdish N. Sheth
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.

Data-driven Modelling and Predictive Analytics in Business and Finance

Author : Alex Khang
Publisher : Auerbach Publications
ISBN 13 : 9781032600628
Total Pages : 0 pages
Book Rating : 4.6/5 (6 download)

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Book Synopsis Data-driven Modelling and Predictive Analytics in Business and Finance by : Alex Khang

Download or read book Data-driven Modelling and Predictive Analytics in Business and Finance written by Alex Khang and published by Auerbach Publications. This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on the opportunities and challenges for data-driven modelling and predictive analytics for business systems. It covers fundamental concepts as well as advanced techniques, technologies, and tools. It discusses technology in the context of innovation, business development, and business management.

B2B Marketing

Author : Uwe G. Seebacher
Publisher : Springer Nature
ISBN 13 : 3030542920
Total Pages : 754 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis B2B Marketing by : Uwe G. Seebacher

Download or read book B2B Marketing written by Uwe G. Seebacher and published by Springer Nature. This book was released on 2021-05-03 with total page 754 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book comprehensively presents the current state of knowledge, theoretical and practical alike, in the field of business-to-business (B2B) marketing. More than 30 of the best and most recognized B2B marketers address the most relevant theoretical foundations, concepts, tried and tested approaches and models from entrepreneurial practice. Many of those concepts are published for the first time ever in this book. The book not only builds on the existing classic literature for industrial goods marketing but also – and much more importantly – finally closes the gap towards the rapidly growing ecosystem of modern B2B marketing terms, instruments, products, and topics. Technical terms such as Account-Based Marketing, Buyer Journey, ChatBots, Content AI, Marketing Automation, Marketing Canvas, Social Selling, Touchpoint Sensitivity Analysis, and Predictive Intelligence are explained and examined in detail, especially in terms of their applicability and implementation. The book as a whole reflects the B2B marketing journey so that the readers can directly connect the content to their own experience and use the book as a guide in their day-to-day work for years to come.