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Building a Data Warehouse : With Examples in SQL Server
The book is organized as follows. In the beginning of this book (chapters 1 through 6), you learn how to build a data warehouse, for example, defining the architecture, understanding the methodology, gathering the requirements, designing the data models, and creating the databases. Then in chapters 7 through 10, you learn how to populate the data warehouse, for example, extracting from source systems, loading the data stores, maintaining data quality, and utilizing the metadata. After you populate the data warehouse, in chapters 11 through 15, you explore how to present data to users using reports and multidimensional databases and how to use the data in the data warehouse for business intelligence, customer relationship management, and other purposes. Chapters 16 and 17 wrap up the book: After you have built your data warehouse, before it can be released to production, you need to test it thoroughly. After your application is in production, you need to understand how to administer data warehouse operation.
Artificial intelligence for customer relationship management : Solving customer problems
This book describes a number of applications of Artificial Intelligence in the field of Customer Relationship Management with the focus of solving customer problems. We design a system that tries to understand the customer complaint, his mood, and what can be done to resolve an issue with the product or service. To solve a customer problem efficiently, we maintain a dialogue with the customer so that the problem can be clarified and multiple ways to fix it can be sought. We introduce dialogue management based on discourse analysis: a systematic linguistic way to handle the thought process of the author of the content to be delivered. We analyze user sentiments and personal traits to tailor dialogue management to individual customers. We also design a number of dialogue scenarios for CRM with replies following certain patterns and propose virtual and social dialogues for various modalities of communication with a customer.
Artificial intelligence for customer relationship management : Keeping customers informed
Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals.
Brand hate : Navigating consumer negativity in the digital world, 2nd
Focuses on the concept of “brand hate” and consumer negativity in today’s digital markets. It explores the emotional detachment consumers generate against valued brands and how negative experiences affect their and other consumers' loyalty. The book defines consumer brand hate and discusses its dimensions, antecedents, and consequences as well as the semiotics and legality of such brand hate activities based on current brand dilution arguments. It describes the situations which lead to anti-branding and how consumers choose to express their dissatisfaction with a company on individual and social levels. This newly updated edition discusses recent research findings from brand hate literature with new cases and extended managerial analysis.
Big Data : A Road Map for Successful Digital Marketing
Explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, mobile marketing, search engine optimization and customer relationship management.
Big Data : A Road Map for Successful Digital Marketing
Explores recent trends in the use of big data to predict consumer behavior, strategies to engage online customers, integration of big data with other data sources, and its applications in social media analytics, mobile marketing, search engine optimization and customer relationship management.
Artificial intelligence for marketing management
Artificial intelligence (AI) has driven businesses to adopt new business practices rapidly, enhance product development and services, has helped to power AI-based market intelligence and customer insights, and improve customer relationship management. This timely book addresses the use of AI in marketing.
AI Strategy for sales and marketing : Connecting marketing, sales and customer experience
AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust.
Acceptance and Usage of Technology through the Digital User Experience
Sheds light on the challenges and solutions for companies when dealing with the online consumer on social media and in the era of Web 4.0. It investigates the digital transformation in terms of customer experience, customer empowerment, resistance, influencer marketing, and trust. The volume shows how consumers perceive, react and behave towards brands’ digital marketing strategies in addition to the barriers, constraints, advantages and modes of action of online consumers.
Account management strategies in B2B sales : Generating customer value and building sustainable business relationships - methodology, processes, tools
Provides employees and managers in sales with a clearly defined process for building sustainable business relationships along the account journey. Using a structured method, you will learn how to set yourself up for success right from the start, increase your competitiveness, increase market share and generate more sales.
