Bali Padda is the operations maverick behind LEGO's remarkable turnaround from a business basket-case, struggling to deliver on its orders, to the biggest and most profitable toy brand in the world.

As Chief Operations Officer at LEGO, Bali overhauled the toy company by shaking up its operations and instilling essential business fundamentals. He resolved issues across the supply chain and forged close partnerships between functions. He cut unpopular product lines and diverted the company's attention on hero items. He developed a relentless focus on customer service - of delivering what was promised - and he instituted weekly performance briefings known as the Visual Factory, which ultimately spread throughout the whole organization and transformed culture and performance. LEGO became the largest toy manufacturer in the world, and Bali was honoured with becoming the company's first non-Danish CEO in 2017.

In Deliver What You Promise, Bali distils his methodology at LEGO into ten essential, fundamental lessons. From how to reduce complexity to prizing reliability over agility. Why a business should be treated like a living organism and how to bring everyone together under a shared sense of purpose. On when to use soft and hard managerial skills and the hidden risks of success.

Illustrated by insider stories from LEGO, these are enduring principles that both young starters and established leaders alike need to know and can implement straight away, to deliver on what is promised.

In the newly revised seventh edition of Managing Quality: Integrating the Supply Chain, a decorated team of operations experts delivers a thorough introduction to quality management with an enduring emphasis on the importance of the supply chain for quality improvement. You'll obtain an integrated understanding of the customers, suppliers, technology, and people essential to maintaining and enhancing product quality in business.

This latest edition combines the unifying theme of the supply chain with the latest developments in critical subject areas, like Lean, Six Sigma, and service quality. Updated vignettes and references maintain the currency of the work, while new content expands its scope and increases readability and accessibility for students of operations, quality management, and business.

How can an organisation, public or private, ensure that it always operates in top form and, at the very least, meets the objectives for which it was established? The answer lies in the availability of factually correct, dependable and appropriate data. Obtaining such data is what this publication is about.

Introduction To Research offers a step-by-step approach to the fundamentals of research. Introduction To Research guides the novice researcher through the research process, including how to choose the appropriate research methodology and how to adhere to the standards for conducting ethical research. It provides a synopsis of the entire research process, including the formulation of a research proposal.

Introduction To Research is aimed at all students and researchers, across a variety of disciplines.

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis.

Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis.

Advanced experimental design helps you get the most out of your A/B tests, while causal diagrams allow you to tease out the causes of behaviors even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, this practical book provides complete examples and exercises in R and Python to help you gain more insight from your data--immediately.

Features:

• Understand the specifics of behavioral data
• Explore the differences between measurement and prediction
• Learn how to clean and prepare behavioral data
• Design and analyze experiments to drive optimal business decisions
• Use behavioral data to understand and measure cause and effect
• Segment customers in a transparent and insightful way