Predictive Analytics, Data Mining and Big Data - S. Finlay

Predictive Analytics, Data Mining and Big Data

Myths, Misconceptions and Methods

(Autor)

Buch | Hardcover
260 Seiten
2014
Palgrave Macmillan (Verlag)
978-1-137-37927-6 (ISBN)
58,80 inkl. MwSt
Studibuch Logo

...gebraucht verfügbar!

This in-depth guide provides managers with a solid understanding of data and data trends, the opportunities that it can offer to businesses, and the dangers of these technologies. Written in an accessible style, Steven Finlay provides a contextual roadmap for developing solutions that deliver benefits to organizations.

Steven Finlay is one of the UK's leading experts on predictive analytics and its application within Big Data environments. He has extensive experience of developing predictive analytics solutions within Financial Services, Retailing and Government organisations. Steven is currently Head of Analytics at HML, the UK's largest provider of mortgage administration services. Previously he has worked as a data scientist, consultant and project manager for a variety of organizations in both the public and private sectors. Steven has a PhD in predictive analytics and is an Honorary Research Fellow in the Management Science Department at Lancaster University in the UK.

1. Introduction 2. Using Predictive Models 3. Analytics, Organization and Culture 4. The Value of Data 5. Ethics and Legislation 6. Types of Predictive Models 7. The Predictive Analytics Process 8. How to Build a Predictive Model 9. Text Mining and Social Network Analysis 10. Hardware, Software and All That Jazz

Erscheint lt. Verlag 1.7.2014
Reihe/Serie Business in the Digital Economy
Zusatzinfo XII, 260 p.
Verlagsort Basingstoke
Sprache englisch
Maße 155 x 235 mm
Themenwelt Mathematik / Informatik Mathematik Finanz- / Wirtschaftsmathematik
Wirtschaft Betriebswirtschaft / Management Marketing / Vertrieb
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Wirtschaft Volkswirtschaftslehre
ISBN-10 1-137-37927-8 / 1137379278
ISBN-13 978-1-137-37927-6 / 9781137379276
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Wie bewerten Sie den Artikel?
Bitte geben Sie Ihre Bewertung ein:
Bitte geben Sie Daten ein:
Mehr entdecken
aus dem Bereich