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This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selecta

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Marcin Dabrowski

10 Rules for Impossible Projects

Surprising - But True - Advice on How to Successfully Deliver Difficult and Complex Projects

&lt;p&gt;Part I. Impossible projects.- Chapter 1. Introduction &amp;ndash; how and why this book was written.- Chapter 2. What are impossible projects.- Chapter 3. How and why impossible projects are created.- Chapter 4. Can an impossible project be delivered?.- Part II. Methodologies and Certifications - BS.- Chapter 5. Certificate Factory.- Chapter 6. Helplessness of methodologies and certificates when faced with key problems of impossible projects.- Chapter 7. Practical knowledge - the missing link.- Part III. 10 Rules for delivering impossible projects.- Chapter 8. Rule 1 &amp;ndash; Engage in contract negotiations.- Chapter 9. Rule 2 - Define what it means to "deliver" the project.- Chapter 10. Rule 3 &amp;ndash; Be useful and show commitment.- Chapter 11. Rule 4 - Build relationships and the power of influence.- Chapter 12. Rule 5 &amp;ndash; Focus on progress, be pragmatic.- Chapter 13. Rule 6 - Apply pressure and take advantage of your position.- Chapter 14. Rule 7 &amp;ndash; Consciously manage the flow of information.- Chapter 15. Rule 8 &amp;ndash; Take care of the financial health of the project.- Chapter 16. Rule 9 &amp;ndash; Create and document your own history of the project.- Chapter 17. Rule 10 &amp;ndash; Focus on the long-term customer relationship.- Chapter 18. Summary.&lt;/p&gt;

Grundlagen, Prinzipien & Einführung des CODIT-Frameworks

Corporate Digital Transformation

The Z-Curve

Making Hybrid Work, Work

Destination 2.0

Dieses Übungsbuch konzentriert sich auf die Interpretation und Anwendung anspruchsvoller Analysemethoden, die in der Marketing- und Managementforschung häufig eingesetzt werden. Mit der wachsenden Bedeutung von datenbasierten Entscheidungen in der Praxis wird die Fähigkeit, Analysen mittels quantitativer Methoden kompetent durchzuführen und zu interpretieren, immer wichtiger. Durch die Kombination von theoretischem Wissen und praktischen Übungen mit Lösungen werden Studierende optimal auf ihre zukünftigen beruflichen Herausforderungen vorbereitet. Zielgruppe sind insbesondere Studierende, die bereits Grundkenntnisse in der uni- und bivariaten deskriptiven Statistik erworben haben. Zudem wird ein Verständnis der inferenzstatistischen Verfahren vorausgesetzt, insbesondere der statistischen Prüfung von Hypothesen.
 
 Die folgenden multivariaten Methoden werden behandelt:
 <ul><li>Analyse von fehlenden Werten und Ausreißern zur Bewertung der Datenqualität und Möglichkeiten der Datenaufbereitungen und -transformationen,</li><li>Scoringverfahren zur Bewertung verschiedener Alternativen mittels mehrdimensionaler Zielkriterien,</li><li>Varianzanalysen zum Vergleich der Mittelwerte mehrerer Gruppen, die durch kategoriale Variablen definiert werden,</li><li>Regressionsanalysen zur Erkennung von Zusammenhängen zwischen metrischen Merkmalen,</li><li>Prognoseverfahren zur Vorhersage zukünftiger Werte auf Basis von Beobachtungen aus der Vergangenheit,</li><li>Clusteranalysen zur Strukturierung von Objekten bzw. Subjekten durch Bildung möglichst homogener Gruppen, die gegenüber den anderen Gruppen möglichst heterogen sind, und</li><li>Entscheidungsbaumanalysen zur Klassifizierung von Objekten bzw. Subjekten zu vorgegebenen Gruppen auf Basis bekannter Eigenschaften.</li></ul>
 Die Autoren
 
 Prof. Dr. Stefan Tuschl
 
 ist Professor für Quantitative Methoden am Department Wirtschaft an der Hochschule für Angewandte Wissenschaften (HAW) in Hamburg. Er ist außerdem Mit-Begründer und Mit-Gesellschafter der kom,ma Forschungs- und Beratungsgesellschaft, eines auf Kommunikations-, Werbe- und Markenforschung sowie individuelle Modellierungen spezialisierten Instituts.
 Prof. Dr. Elke Hörnstein
 war Professorin für Quantitative Methoden am Department Wirtschaft an der Hochschule für Angewandte Wissenschaften (HAW) in Hamburg. Zuvor arbeitete sie am Institut für Verkehrs- und Tourismusforschung, Heilbronn.

Grundlagen, Übungen und Lösungen

Quantitative Datenanalysen in Marketing und Management mit SPSS

Concise Advice

100 illustrations of marketing excellence

The Marketing Inspiration Book

Endocrinology

Neuroendocrine Neoplasia

An expert guide to finding work and advancing your career in a new, post-COVID job market It's brutal. I'm frustrated. Nobody is responding... These are the comments heard in almost every conversation about the job market these days-as every opportunity and posting attracts hundreds if not thousands of applicants. And all too often, people think technology will do everything for them. Getting a job today takes so much more than just updating your resume and sending it out everywhere. Instead, you'll be online assessing, video responding, and amplifying your visibility in a competitive job market. I Need a Job! lays out exactly what you need, with an action plan for competing in an ever-evolving workscape. Written by Gary Burnison, CEO of Korn Ferry and New York Times bestselling author, the book contains timely advice from a firm that places a professional in a job every three minutes of the workday. It captures the essentials of what will help you stand out and break away from the rest: <ul> <li>Your A.C.T. - Be authentic. Make a connection. Give others a taste of who you are.</li> <li>Knowing Yourself - Before you focus outward, it's important to first look inward-so you can move onward.</li> <li>Assessing for Success - Assessments permeate the hiring environment and at every stage of the process.</li> <li>Putting Your I in AI - Employers are using AI-and so can you.</li> <li>Networking in the New World of Work - Your skills qualify you, but networking gets you in the door.</li> <li>Interviewing: From Prep Time to Go Time - Know the story you tell and who you will tell it to.</li> </ul> I Need a Job! is your guide for navigating the confusion and cutting through the uncertainty. Following its timely advice and timeless wisdom, you will elevate yourself-to be noticed, land the interview, and get the job you want.

Be Noticed. Land the Interview. Get Hired

I Need a Job!

Resumes for Dummies

How ideas from science can transform your life

The Art of Physics

Data Governance: How to Design, Deploy, and Sustain an Effective Data Governance Program, Third Edition, is for any student, executive, manager, or data professional who needs to understand and implement a data governance program, to ensure consistent, accurate and reliable data across their organization. The problem of managing data continues to grow with issues surrounding the cost of storage, exponential growth, as well as administrative, management, and security concerns - the solution to being able to scale all of these issues up is data governance which provides better services to users and saves money. This book offers an overview of why data governance is needed, how to design, initiate, and execute a program and how to keep the program sustainable. John Ladley guides readers though the detailed process of developing a Data Governance program, including an introduction to the concepts and principles of Data Governance, Data literacy concepts, business case, strategy, systems architecture and design, the importance of team engagement, implementation, and change management. The Third Edition includes all-new coverage embracing new data capabilities such as ethics and AI integration, as well as key regulatory changes. Data governance is now inevitable, and no longer an option. John Ladley examines the impact of society on data and the relevance for organizations to simply "do better." The Third Edition updates coverage on data governance tools to achieve delivery of necessary capabilities. This valuable resource provides foundational understanding to advanced students in Data Management and related courses, as well as comprehensive guidance for beginning professionals, managers or analysts looking to improve their processes. With the provided framework and case studies, all students and professionals in the data governance field will gain key insights into launching successful and money-saving data governance programs.

How to Design, Deploy, and Sustain an Effective Data Governance Program

Data Governance

This book describes the theory and practice of corporate finance. Corporate finance focuses on investment activities in property, plant and equipment's and financial assets, working capital management, and financing activities. The book can be used at universities in intermediate semesters as well as in continuing education courses. In addition, it is also suitable for practitioners who work in the financial management area of a company and want to acquire a sound understanding of corporate finance. In addition to theory, practical issues such as determining the cost of capital at the company and project level are also covered.The content-Financial objectives-Research approaches in corporate finance-Cost of capital-Investments in property, plant and equipment-Working capital management-Investments in financial assets-Types of financing-Capital structure-Dividend policy-Realoptions-Mergers and acquisitions-Risk management and derivativesThe author Dr. Enzo Mondello is the founder, owner, and director of CFBS Center for Business Studies AG since 2001, specializing in CFA®, FRM®, CAIA®, and CMA. He has many years of teaching experience at universities, and in CFA® preparation courses.This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Theory and applications

Corporate Finance

Proactive Organization Policies and Practices to Address Emerging Threats

Reducing the Risk of Targeted Gun Violence

10 Rules for Impossible Projects

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