<div class="raw-html-embed"><a href="https://libratech.ai/ch/?utm_source=partner&amp;utm_medium=website&amp;utm_campaign=wkch_libra_prsp_staempfli_07_2026
">Stämpfli Fachinhalte - jetzt im rechtssicheren Libra All-In-One AI Workspace verfügbar - Jetzt kostenlos testen!</a></div>

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Aboverträge Kündigen

Résiliation d’abonnement

Vertrag widerrufen

Résiliation de contrat 

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

Libra

Was ist Libra?

C'est quoi Libra ?

Kostenlos testen

Tester gratuitement

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Aktienrecht

Droit des sociétés anonymes

Publikationen

Publications

Literatur

Digitales Angebot

Bücher

Livres

Buchreihen

Collections

Onlinemodule LEXIA

Modules en ligne LEXIA

recht.ch

Studienliteratur

Littérature pour les études

Dienstleistungen

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Seefeld K: Introduction to Business
Analytics

Introduction to Business Analytics

Student Edition

Chasing Hollywood is not just a marketing book. It is a memoir wrapped in the cultural phenomenon of films that have shaped our lives.Learn timeless lessons about the remarkable hard work and genius artistry that went into the creation and promotion of movies we love. Films that served as must-see moments for the last two generations. The pop-culture infiltrators that have marked our years and shaped our shared memories, giving us the stars, catch-phrases and bold ideas that people still talk about--whether we're growing up, growing old, looking inward, or coming out.Sometimes audiences don't know what they want, simply because they haven't seen it before--in part because of the massive blockades created by corporate ownership and mainstream media saturation from big-dollar marketing campaigns, constructed by the powers that be in order to keep outsiders and little guys down and out.These powers still exist in the film world, and the social media world, and the book world, too, just as they exist in almost every industry today, when even the most well-funded marketing departments struggle to break through the unstoppable wall of noise created by the overflow of information and content that floods consumers' feeds and screens every second of every day.But guess what?Blockades are still breakable, and even the tallest walls are surmountable. We just need to take an indie-film approach to breaking through.

Chasing Hollywood is not just a marketing book. It is a memoir wrapped in the cultural phenomenon of films that have shaped our lives.

A Marketing Chief’s Lessons on Breaking Through

Chasing Hollywood

Transform raw data into business insights Businesses run on data and Microsoft® Power BI is the engine for turning data into insight and decisions. This beginner-friendly guide helps you get started with the Power BI basics. It's also great for power users, covering advanced topics like integrating AI and programming your own functions. This updated edition shows you how to get even more power out of the tool, with enhanced collaboration, customization, and version control. Harness the power of Power BI, the easy way. Inside... <ul> <li>Turn data into business growth</li> <li>Set up Power BI in any business</li> <li>Discover trends in your data</li> <li>Collaborate in real-time</li> <li>Build interactive dashboards</li> <li>Create branded visualizations</li> <li>Use AI for enhanced efficiency</li> <li>Program your own functions</li> </ul>

Microsoft Power BI For Dummies

Platform Supply Chains in the AI Era

This open access book provides a systematic and in-depth analysis of the critical risks inherent in modern platform-based supply chains. Employing rigorous analytical methods, including game theory and advanced, computationally efficient simulation techniques, it delves into three core areas: operational risks, information and data risks, and quality and compliance risks. The book moves beyond traditional supply chain paradigms to address challenges unique to the platform economy. This includes the strategic threat of platforms using seller data to launch competing products, the complex trade-offs in managing third-party product quality, the impact of reactive capacity on quality decisions, and the challenge of optimizing inventory across networks of unprecedented scale.
 
 It is an essential resource for graduate students, academic researchers, and advanced practitioners in the fields of operations management, supply chain management, and information systems. The content is suitable for readers with a graduate-level understanding of these disciplines.

Risk Management

Platform Supply Chains 5

With Artificial Intelligence (AI) reshaping how businesses operate, the integration of intelligent technologies into Knowledge Management (KM) processes offers new opportunities for optimizing data-driven decision-making and enhancing organizational performance.
AI-Driven Knowledge Management Assets explores KM as a critical element of business strategy and managerial practice, especially in an era of rapid AI adoption. Authors examine KM's foundational and advanced aspects through a managerial lens, highlighting how AI is reshaping contemporary KM practices, and delve into traditional KM strategies and cutting-edge AI applications. Each chapter is enriched with case studies and empirical research that showcase the real-world benefits and challenges of integrating AI into KM. From uncovering the theoretical underpinnings of KM to examining AI-driven innovations that create competitive advantages, this work offers actionable insights and perspectives on future developments. Authors address ethical, sustainability and managerial issues, equipping readers with the tools to navigate the complexities of AI-infused KM practices.
Providing a valuable resource for business leaders, academics, and students, this volume supports those looking to integrate AI into KM to drive strategic decision-making and operational efficiency. Merging traditional knowledge management practices with the latest AI advancements, it prepares readers to harness technology for innovative solutions, positioning their organizations for success in the modern business landscape.

Ai-Driven Knowledge Management Assets

In our hyper-connected world, where every interaction generates valuable data, artificial intelligence (AI) is having a profound impact on marketing, marketing research, and customer data analytics.This book sheds light on the untapped potential of AI-driven analytics in market research so that businesses can better understand and interact with their customers. The transformation of marketing and market research over recent decades has only accelerated thanks to breathtaking AI developments that are reshaping data analytics and insights generation while enabling more effective foresight and actionability.These technologies are moving the field beyond solicited customer opinion, traditionally gathered through surveys and focus groups, allowing marketers to leverage unstructured big data for a whole new type of customer feedback: the unsolicited opinion. Acting as a guide to what's possible, the book explores the redefinition of insight in the age of AI and stresses the need for every true insight to inspire action. It dives into techniques for analysis and the AI science behind the analytics, automated brand recommendations, and content creation, introducing AI-specific research and data analysis tools. The birth of synthetic data is discussed, with advantages including privacy compliance, cost-effectiveness, and the ability to generate diverse datasets on demand. The book also covers critical ethical issues, such as data privacy, algorithmic bias, transparency, and the potential for AI to be used manipulatively, and raises important questions around knowledge, creativity, and the future of the field of marketing research.This book's clear-eyed guidance and thoughtful reflections will benefit anyone involved in marketing, market research, digital advertising, and business strategy, including CX practitioners, business leaders tasked with delivering growth, data scientists, marketing agency executives and consultants, and advanced business and marketing students.

Marketing Research Reconfigured

AI Powered Insight

In an era where organizations increasingly rely on data and intelligent technologies to guide strategic decisions, workforce management is undergoing a profound transformation. 
 Data-Driven Sustainable Workforce Analytics: The Triple Intelligence Framework
 presents a comprehensive exploration of how artificial intelligence, advanced analytics, and human-centered management practices are reshaping the future of work. 
 The book introduces the concept of Triple Intelligence, highlighting the strategic integration of human intelligence, artificial intelligence, and collective intelligence to support sustainable organizational transformation and responsible workforce governance. Structured into five thematic parts, the book examines intelligent HR ecosystems, predictive recruitment strategies, machine learning in people analytics, employee engagement, and sectoral applications such as healthcare and smart manufacturing. It also addresses critical ethical and governance issues, including ESG-driven workforce strategies, diversity and inclusion analytics, responsible artificial intelligence, and emerging debates on digital workplace monitoring.Featuring contributions from scholars across 19 countries spanning five continents, this volume provides diverse global perspectives and offers valuable insights for researchers, practitioners, and policymakers seeking to build data-driven, ethical, and sustainable workforce systems in the age of intelligent organizations.&nbsp;

The Triple Intelligence Framework

Data-Driven Sustainable Workforce Analytics

A Comprehensive Guide to Managing Municipal Infrastructure Assets

With Artificial Intelligence (AI) reshaping how businesses operate, the integration of intelligent technologies into Knowledge Management (KM) processes offers new opportunities for optimizing data-driven decision-making and enhancing organizational performance.
AI-Driven Knowledge Management Processes explores KM as a critical element of business strategy and managerial practice, especially in an era of rapid AI adoption. Authors examine KM's foundational and advanced aspects through a managerial lens, highlighting how AI is reshaping contemporary KM practices, and delve into traditional KM strategies and cutting-edge AI applications. Each chapter is enriched with case studies and empirical research that showcase the real-world benefits and challenges of integrating AI into KM. From uncovering the theoretical underpinnings of KM to examining AI-driven innovations that create competitive advantages, this work offers actionable insights and perspectives on future developments. Authors address ethical, sustainability and managerial issues, equipping readers with the tools to navigate the complexities of AI-infused KM practices.
Providing a valuable resource for business leaders, academics, and students, this book support those looking to integrate AI into KM to drive strategic decision-making and operational efficiency. Merging traditional knowledge management practices with the latest AI advancements, it prepares readers to harness technology for innovative solutions, positioning their organizations for success in the modern business landscape.

Ai-Driven Knowledge Management Processes

Leveraging AI for Enhanced Financial Planning and Analysis

Smart Finance

Nick Clegg, formerly one of Meta's most senior executives, presents a blueprint for reforming Big Tech while preserving the essential openness of the internet 'Warns of the dangers posed to a free and open global internet by an age of autocrats and a titanic power struggle over AI' Guardian As democracies seek to curb the power of Big Tech, as authoritarian regimes like China and Russia isolate their populations from the internet, and as the AI race supercharges divisions between competing nations, the most powerful tool for bringing us together risks being dismantled. Taking us behind the scenes at Meta, and drawing on his unique experience on the world stage of both tech and politics, Nick Clegg sets out where Big Tech has gone wrong and the radical reforms that are needed if global platforms are to ensure their long-term future. But he also shows that many of the charges against them are overstated or simply untrue, and presents a blueprint for the international cooperation that is needed if we are to preserve what makes them so vital to our future: their potential to empower and improve billions of lives. Radical, reasonable, deeply felt and disarmingly honest, How To Save the Internet reminds us how much we stand to lose on our current path - and how much we might yet gain from a global, open internet. 'Entertaining . . . lucid, detailed . . . there is much to agree with' Spectator 'Studded throughout [with] good analyses of the political situation around technology' Observer 'A gripping and timely book. Nick Clegg writes with clarity, authority and urgency' Peter Frankopan, author of The Silk Roads 'A wake-up call we cannot afford to ignore' Tony Blair 'A vital read' Reid Hoffman, co-founder of LinkedIn

The Threat to Global Connection in the Age of AI and Political Conflict

How to Save the Internet

Turn raw data into real traction—and real revenue.
This hands-on guide is built for the realities of startup life—where time is short, resources are limited, and every decision counts. Whether you're just getting started or scaling fast, this book is your essential toolkit for building a data-driven startup ready for growth and innovation—and for turning insight into impact, and data into dollars.
Drawing from years of experience as the first data hire at multiple high-growth startups across the US and Europe, author Piotr Sidoruk shares practical insights into building data systems that are both affordable and scalable, agile and reliable. You’ll explore how to create a strong data foundation free from the rigidity of traditional corporate models, and how to use analytics and AI to inform product development, customer insights, and investor communication—ultimately turning data into measurable business outcomes and revenue growth.
What sets this book apart is its unified approach. Instead of siloing data engineering, analytics, and machine learning, it brings them together into one actionable playbook tailored for startup environments. With real-world examples from companies such as Spotify, Airbnb, and Stripe, you’ll see how data can become a strategic asset from day one. From your first data hire to your next funding round, this book is your manual for building a startup where data drives every decision.
What You Will Learn
<ul>
<li>Develop a data-driven strategy aligned with startup goals, using rapid, iterative methods to support fast growth</li>
<li>Set up and manage data warehouses, build pipelines, and integrate diverse data sources seamlessly</li>
<li>Design and scale flexible, cost-effective data infrastructure tailored to startup constraints</li>
<li>Use data to drive decision making that directly impacts customer retention and revenue</li>
<li>Build dashboards and reports in BI tools to track the metrics that matter most for customer engagement, retention, and growth</li>
<li>Master data storytelling to influence stakeholders and secure investor funding</li>
<li>Demystify and apply advanced techniques in AI and machine learning to enhance innovation and competitiveness</li>
<li>Calculate and monitor essential startup metrics, such as Customer Acquisition Cost (CAC), Lifetime Value (LTV), retention, and growth KPIs</li>
<li>Combine quantitative data with qualitative insights to deeply understand user behavior and optimize product experience</li>
</ul>
&nbsp;

Turn raw data into real traction—and real revenue
 .&nbsp;
 This practical hands-on guide is built for the realities of startup life—where time is short, resources are limited, and every decision counts. Whether you're just getting started or scaling fast, this book is your essential playbook for building a data-driven startup ready for growth and innovation—and for turning insight into impact and data into dollars.&nbsp;Drawing from his hard-won lessons as the first data hire in both venture-backed successes and failures, author Piotr Sidoruk shares battle-tested strategies for building data systems that are both affordable and scalable, agile and reliable. You’ll explore how to create a strong data foundation free from the rigidity of traditional corporate models, and how to use analytics and AI to inform product development, customer insights, and investor communication—ultimately turning data into measurable business outcomes and revenue growth.&nbsp;What makes this book different? It unites data engineering, analytics, and machine learning into one actionable framework tailored for startups. With real-world examples from companies like Spotify, Airbnb, and Stripe, you’ll see how data can become a strategic asset from day one. From your first data hire to your next funding round, this book is your roadmap to making data your competitive advantage.&nbsp;What You Will Learn
 &nbsp;
 <ul><li>Develop a lean data-driven strategy to fuel startup growth&nbsp;</li></ul><ul><li>Build a scalable data stack for AI and machine learning without overspending&nbsp;</li></ul><ul><li>Discover user insights with analytics and qualitative research&nbsp;</li></ul><ul><li>Turn data into financial value and build narratives that win investors&nbsp;</li></ul><ul><li>Track key startup metrics including CAC, LTV, retention, and growth KPIs&nbsp;</li></ul><ul><li>Build dashboards and reports that drive decisions and revenue&nbsp;</li></ul>Who This Book Is ForData engineers, analysts, and scientists who are the first data hires at startups—or preparing to work in fast-paced, high-growth startup environments. Ideal for professionals looking to build scalable data systems, drive product insights, and grow their careers in early-stage tech companies.

Getting started with Data Analytics and AI in Startups

From Data to Dollars

Edition Sales Excellence

Wie erreichen Unternehmen nachhaltige Sales Excellence und wie lässt sich diese systematisch steuern und weiterentwickeln? Dieses Buch zeigt Vorständen, Vertriebsleitern und Controllern, wie sie ihren Vertrieb konsequent an Markt- und Kundenbedürfnissen ausrichten und gezielt zur Höchstleistung führen.
Mario Pufahl erläutert, wie sich Sales Performance ganzheitlich entlang der vier zentralen Dimensionen Strategie, Organisation, Controlling und Personal entwickeln und managen lässt. Schritt für Schritt wird aufgezeigt, wie Unternehmen tragfähige Vertriebsstrategien formulieren, effiziente Organisationsstrukturen schaffen, leistungsfähige Steuerungskonzepte implementieren und ihre Mitarbeiter systematisch weiterentwickeln. Dabei stehen stets konkrete Anwendungsbeispiele und klare Handlungsempfehlungen im Mittelpunkt.
Die vollständig überarbeitete 3. Auflage integriert aktuelle Entwicklungen wie Künstliche Intelligenz und datengetriebenes Pricing und zeigt anhand praxisnaher Fallstudien, wie moderne Technologien die Vertriebssteuerung nachhaltig verbessern können. Zahlreiche Checklisten, Best Practices und Experteninterviews mit führenden Persönlichkeiten aus Wirtschaft und Forschung machen das Buch zu einem unverzichtbaren Leitfaden für die erfolgreiche Transformation des Vertriebs.
Ein fundiertes Praxisbuch für alle, die ihren Vertrieb strukturiert analysieren, gezielt optimieren und dauerhaft auf Erfolg ausrichten möchten.
Der Inhalt 

Teil I: Gute Gründe für Sales Performance Management
Teil II: Sales Performance Management – Implementierung
Teil III: Experteninterviews

Der Autor
Mario Pufahl ist Geschäftsführer der Unternehmensberatung novaCapta GmbH mit Sitz Köln. Er verfügt über 25 Jahre praktische Beratungs- und Vertriebserfahrung bei Unternehmen aus DAX, M-DAX und im Mittelstand bei der Planung und Durchführung von Digitalisierungs- und Transformationsprojekten in Marketing, Sales und Service.

Wie erreichen Unternehmen nachhaltige Sales Excellence und wie lässt sich diese systematisch steuern und weiterentwickeln? Dieses Buch zeigt Vorständen, Vertriebsleitern und Controllern, wie sie ihren Vertrieb konsequent an Markt- und Kundenbedürfnissen ausrichten und gezielt zur Höchstleistung führen.Mario Pufahl erläutert, wie sich Sales Performance ganzheitlich entlang der vier zentralen Dimensionen Strategie, Organisation, Controlling und Personal entwickeln und managen lässt. Schritt für Schritt wird aufgezeigt, wie Unternehmen tragfähige Vertriebsstrategien formulieren, effiziente Organisationsstrukturen schaffen, leistungsfähige Steuerungskonzepte implementieren und ihre Mitarbeiter systematisch weiterentwickeln. Dabei stehen stets konkrete Anwendungsbeispiele und klare Handlungsempfehlungen im Mittelpunkt.Die vollständig überarbeitete 3. Auflage integriert aktuelle Entwicklungen wie Künstliche Intelligenz und datengetriebenes Pricing und zeigt anhand praxisnaher Fallstudien, wie moderne Technologien die Vertriebssteuerung nachhaltig verbessern können. Zahlreiche Checklisten, Best Practices und Experteninterviews mit führenden Persönlichkeiten aus Wirtschaft und Forschung machen das Buch zu einem unverzichtbaren Leitfaden für die erfolgreiche Transformation des Vertriebs.Ein fundiertes Praxisbuch für alle, die ihren Vertrieb strukturiert analysieren, gezielt optimieren und dauerhaft auf Erfolg ausrichten möchten.

Exzellenz im Vertrieb mit ganzheitlichen Steuerungskonzepten und KI

Sales Performance Management

Introduction to Business Analytics

Weitere Titel zum Thema