Transition to Advanced Analytics : Get a Return on Your Analytics Investment

Jason Tan

ISBN 10: 1032527544 / ISBN 13: 9781032527543

Verlag: Chapman And Hall/CRC, 2024

Beschreibung

nach der Bestellung gedruckt Neuware - Printed after ordering - This book focuses on how to embed advanced analytics directly into daily business operations and complement an enterprise system.

Bestandsnummer des Verkäufers 9781032527543

Bibliografische Details

• Titel: Transition to Advanced Analytics : Get a Return on Your Analytics Investment
• Verlag: Chapman And Hall/CRC
• Erscheinungsjahr: 2024
• Sprache: Englisch
• ISBN-10: 1032527544
• ISBN-13: 9781032527543
• Einband: Taschenbuch
• Zustand: Neu
• Abmessungen: 234B x 156 H x 10 T Millimeter Breite: 234 mm, Höhe: 156 mm, Tiefe: 10 mm
• Gewicht: 272 Gramm

Über diesen Titel

Inhaltsangabe

This book focuses on how to embed advanced analytics directly into daily business operations and complement an enterprise system.

Über die Autorin bzw. den Autor

Jason Tan is the owner of DDA Labs and The Analytics Show (TAS) podcast. Together with his team, they develop and embed analytics into business operations to optimise results for insurers and financial service companies. At TAS, Jason interviews top business leaders worldwide on using data science to run a high-performing modern organisation. The goal behind TAS is to help data and analytics leaders break through barriers and get out of their shells to have their voices heard confidently. Through the podcast, listeners and guests alike are able to attain the skills needed for delivering business benefits through data.

Brian Ferris is the Chief Data and Technology Officer at Loyalty New Zealand, leading the data, analytics and technology teams. Loyalty New Zealand runs New Zealand’s most loved loyalty programme – Flybuys – as well as the Lab360 precision marketing team. Over the past four years, the teams have completed an agile transformation and a full migration to the cloud, decommissioning the legacy data centres. In addition, the data management and precision marketing stacks have been completely revamped with artificial intelligence and machine learning tooling in a flexible modern architecture. Prior to Loyalty NZ, Brian ran Enterprise Data and Analytics for Nike in Europe, the Middle East and Africa, and before that, he held senior data and analytics roles at Heineken, BAT and the European Central Bank. Brian’s focus through all of his roles has been transforming people and cultures to deliver real business value from the data assets.