Customer 360

• Verfasst von: Kihn, Martin [VerfasserIn]
• Verfasst von: Lin, Andrea Chen [VerfasserIn]
• Titel: Customer 360
• Titelzusatz: How Data, AI, and Trust Change Everything
• Mitwirkende: Gallagher, Dean [ErzählerIn]
• Verf.angabe: Martin Kihn, Andrea Chen Lin
• Ausgabe: Unabridged.
• Verlagsort: [Erscheinungsort nicht ermittelbar]
• Verlag: Ascent Audio
• Jahr: 2024
• Umfang: 1 online resource (1 sound file (08hr., 30min., 49sec.))
• Fussnoten: Audio book. - Online resource; title from title details screen (cloudLibrary, viewed November 28, 2024)
• ISBN: 978-1-6637-4955-0
• ISBN: 1-6637-4955-8
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Service à la clientèle ; Innovations
• Sach-SW: Intelligence artificielle
• Sach-SW: artificial intelligence
• Sach-SW: Business Development
• Sach-SW: Management
• Sach-SW: BUSINESS & ECONOMICS
• Sach-SW: Leadership
• Sach-SW: Development
• Form-SW: Audiobooks
• Form-SW: Livres audio
• K10plus-PPN: 1914058895
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4648218876
• Lokale URL Inst.: Zum Volltext

Abstract

Become more competitive by developing a superior customer experience through data, AI, and trust Customer 360: How Data, AI, and Trust Change Everything delivers key insight and vision on using emerging technologies to delight customers and become more competitive by providing a superior customer experience. This book helps listeners attract and engage their customers across channels and throughout their journey, from acquisition and onboarding, through service, upsell, retention, and win-back. To demonstrate the influence and importance of these ideas, this book contains a multitude of real-world case studies from companies in a range of industries, with business models, and at various stages of digital maturity. Listeners will learn about using exciting technologies like AI and GPT while building a commitment to ethical use, safety, and privacy through secure guardrails; organizing data around customers, prospects, and accounts--even if that data comes from many different sources in different formats; making new technologies an extension of your existing data investments so that both work better; choosing a strategy and implementation plan to minimize time-to-value and ensure success weighing build, buy, or partner; and handling internal stakeholders and dealing with change in a way that benefits the business.