Transition to Advanced Analytics

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.

• 1. Navigating the Transformative Landscape of AI. 2. Adapting to Technological Shifts: The Evolution of Software, Data, Analytics and AI. 3. Future-Proofing Organisations with Embedded Advanced Analytics. 4. A Step-by-Step Framework for Embedding Advanced Analytics. 5. Ensuring Your Advanced Analytics House Has a Solid Foundation. 6. Understand Your Business – Moments That Matter. 7. Build Credibility and Trusted Relationships to Unlock Value Opportunities. 8. Build a Draft Approach and Share It to Build Support. 9. Get Started Delivering Value. 10. Communication, Ethics and Corporate Governance. 11. Measure, Adjust and Scale. 12. Keep Evolving and Growing. 13. Summary.

"As a Chief Enterprise Architect with decades of experience steering technology strategies for industry giants like Intuit and Veritas, I found this book to be a trailblazing compass for traditional companies and modern startups alike. Its insightful navigation through the evolution of data, AI and advanced analytics, combined with actionable frameworks for technical and organisational implementation to embed advanced analytics, comes together seamlessly as a strategy playbook for cultivating a culture of data-driven excellence. A must-read for any leader harnessing the dynamic potential of advanced analytics!"—Geeta Pyne, Chief Architect at TIAA"This is a timely guide that deeply aligns with my own experience with technology and software business! As the CEO and co-founder of Weaviate, I’ve witnessed firsthand the pivotal role that data, AI, and analytics play in guiding informed decision-making and shaping the trajectory of businesses. In an era where AI and machine learning are increasingly integral to most businesses, this book couldn’t have come at a more opportune moment. Many would stand to benefit from the clear roadmap that Ferris and Tan have laid out to navigate the complexities of modern analytics!"—Bob van Luijt, CEO and Co-Founder of Weaviate"I loved this book. It covers the whole gambit from describing what advanced analytics is through to how to drive value from your analytics investment. It also talks about the more defensive parts of a data strategy—building firm foundations and governance and ethics. It’s essentially a playbook for building a data strategy and culture in a modern but traditional organisation." —Andy Sutton, General Manager, Advanced Analytics, Endeavour Group"Simplifying and conveying topics that are multi-generational, systemic and cross-discipline is not for the faint of heart. Yet somehow accomplished in this important body of work. Walking that fine line between being comprehensive yet pragmatic, it is a must-read for anyone seeking real-world examples of what must be built right with data, analytics and AI foundations or what can go very wrong without this basis. There is nothing quite like people who have ‘been there, done that’, to create an engaging roadmap and narrative focused on value and genuine engagement first."—Valerie A. Logan, CEO and Founder, The Data Lodge (Your Home for Data Literacy)"If you are looking for a guide to empower you with your data and analytical work and to hone your knowledge on creating action with data and analytics, then turn to Jason Tan and Brian Ferris’s book. Don’t miss out on this opportunity to further your knowledge on these important matters."—Jordan Morrow, Senior Vice President of Data and AI Transformation, AgileOn"Data analytics is an incredibly complex field requiring collecting, cleaning, structuring and interrogating data sets to generate usable insights. Brian Ferris has built extensive experience in this area from his roles at Loyalty NZ, Nike, Heineken and other major brands. Brian’s ability to take complex concepts and explain them in clear, consumable language makes this book accessible at all levels. Highly recommended for students and experts alike."—Philip Shelper, CEO and Founder, Loyalty and Reward Co., Author, Loyalty Programs: The Complete Guide