Supply Chain Analytics

Supply Chain Analytics
Author: Peter W. Robertson
Publisher: Routledge
Total Pages: 298
Release: 2020-11-25
Genre: Business & Economics
ISBN: 1000280500
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Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key supply chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing. The author identifies four core supply chain processes – strategy, design, execution and people – to which the analytic techniques explained can be applied to ensure continuous improvement. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter; worked examples illustrating how each analytic technique works, how it is applied and what to be careful of; tables, diagrams and equations to help ‘visualise’ the concepts and methods covered; chapter case studies; and end-of-chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of supply chain analytics, supply chain leadership, and supply chain and operations management. Its practice-based and applied approach also makes it valuable for operating supply chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions.

Executing Data Quality Projects

Executing Data Quality Projects
Author: Danette McGilvray
Publisher: Academic Press
Total Pages: 378
Release: 2021-05-27
Genre: Computers
ISBN: 0128180161
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Executing Data Quality Projects, Second Edition presents a structured yet flexible approach for creating, improving, sustaining and managing the quality of data and information within any organization. Studies show that data quality problems are costing businesses billions of dollars each year, with poor data linked to waste and inefficiency, damaged credibility among customers and suppliers, and an organizational inability to make sound decisions. Help is here! This book describes a proven Ten Step approach that combines a conceptual framework for understanding information quality with techniques, tools, and instructions for practically putting the approach to work – with the end result of high-quality trusted data and information, so critical to today's data-dependent organizations. The Ten Steps approach applies to all types of data and all types of organizations – for-profit in any industry, non-profit, government, education, healthcare, science, research, and medicine. This book includes numerous templates, detailed examples, and practical advice for executing every step. At the same time, readers are advised on how to select relevant steps and apply them in different ways to best address the many situations they will face. The layout allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, best practices, and warnings. The experience of actual clients and users of the Ten Steps provide real examples of outputs for the steps plus highlighted, sidebar case studies called Ten Steps in Action. This book uses projects as the vehicle for data quality work and the word broadly to include: 1) focused data quality improvement projects, such as improving data used in supply chain management, 2) data quality activities in other projects such as building new applications and migrating data from legacy systems, integrating data because of mergers and acquisitions, or untangling data due to organizational breakups, and 3) ad hoc use of data quality steps, techniques, or activities in the course of daily work. The Ten Steps approach can also be used to enrich an organization's standard SDLC (whether sequential or Agile) and it complements general improvement methodologies such as six sigma or lean. No two data quality projects are the same but the flexible nature of the Ten Steps means the methodology can be applied to all. The new Second Edition highlights topics such as artificial intelligence and machine learning, Internet of Things, security and privacy, analytics, legal and regulatory requirements, data science, big data, data lakes, and cloud computing, among others, to show their dependence on data and information and why data quality is more relevant and critical now than ever before. - Includes concrete instructions, numerous templates, and practical advice for executing every step of The Ten Steps approach - Contains real examples from around the world, gleaned from the author's consulting practice and from those who implemented based on her training courses and the earlier edition of the book - Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices - A companion Web site includes links to numerous data quality resources, including many of the templates featured in the text, quick summaries of key ideas from the Ten Steps methodology, and other tools and information that are available online

Lean Analytics

Lean Analytics
Author: Alistair Croll
Publisher: "O'Reilly Media, Inc."
Total Pages: 403
Release: 2024-02-23
Genre: Business & Economics
ISBN: 1098168151
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Whether you're a startup founder trying to disrupt an industry or an entrepreneur trying to provoke change from within, your biggest challenge is creating a product people actually want. Lean Analytics steers you in the right direction. This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without. Understand Lean Startup, analytics fundamentals, and the data-driven mindset Look at six sample business models and how they map to new ventures of all sizes Find the One Metric That Matters to you Learn how to draw a line in the sand, so you'll know it's time to move forward Apply Lean Analytics principles to large enterprises and established products

The New (Ab)Normal

The New (Ab)Normal
Author: Yossi Sheffi
Publisher: MIT CTL Media
Total Pages: 271
Release: 2020-10-01
Genre: Business & Economics
ISBN: 1735766127
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Much has been written about Covid-19 victims, how scientists raced to understand and treat the disease, and how governments did (or did not) protect their citizens. Less has been written about the pandemic’s impact on the global economy and how companies coped as the competitive environment was upended. In his new book, "The New (Ab)Normal", MIT Professor Yossi Sheffi maps how the Covid-19 pandemic impacted business, supply chains, and society. He exposes the critical role supply chains play in helping people, governments, and companies to manage the crisis. The book draws on executive interviews, pandemic media coverage, and historical analyses. Sheffi also builds on themes from his books "The Resilient Enterprise" (2005) and "The Power of Resilience" (2015) to enrich the narrative. The author paints a compelling picture of how the Covid-19 virus is changing many facets of human life and what our post-pandemic world might look like. This must-read book helps companies to redefine their business models and adjust to a fast-evolving economic landscape. The stage is set In Part 1 of the book, “What Happened,” the author looks at how companies fought to mend the global economic fabric even as the virus ripped more holes in it. Part 2, “Living with Uncertainty,” views the crisis through a supply chain risk management lens derived from Yossi Sheffi’s previous books. This perspective shows how companies create corporate immune systems to quickly recognize and manage large-scale disruptions. The ongoing pandemic is creating a new normal in life, work, and education—covered in Part 3, “Adjustment Required.” Consumer fears about the contagion as well as government mandates require businesses in industries such as retail, hospitality, entertainment, sports, and education to create “safe zones” for workers and customers. Many elements of the book – especially in Part 4, “Supply Chains for the Future” – show how the virus accelerated preexisting trends in technology adoption. China was the epicenter of the pandemic; it also was the first nation to be disrupted and recover. Part 5 of the book, “Of Politics and Pandemics,” explains why reports that companies are abandoning China in favor of other offshore manufacturing centers do not reflect reality. Fundamentally, The New (Ab)Normal is about businesses trying to create a better future in a time of extreme uncertainty – a point emphasized in Part 6, “The Next Opportunities.” The outlook is not necessarily gloomy. The advance of technology is accelerating, a trend that can level the playing field between small and large companies. Nimble small businesses are using a growing array of off-the-shelf cloud computing and mobile apps to deploy sophisticated technologies in their supply chains and customer interfaces. The New (Ab)Normal Another new normal is working from home. Remote working enables individuals to live anywhere and companies to recruit talent from anywhere. Education, especially higher education, faces a major disruption (and major opportunity) that is likely to shake the high-cost model of in-person education in favor of online or hybrid education. Regrettably, the book recognizes one trend accentuated by Covid-19--the growing inequality, and anticipates that the new normal will be more stratified.

Marketing Analytics

Marketing Analytics
Author: Mike Grigsby
Publisher: Kogan Page Publishers
Total Pages: 241
Release: 2018-04-03
Genre: Business & Economics
ISBN: 0749482176
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Who is most likely to buy and what is the best way to target them? How can businesses improve strategy without identifying the key influencing factors? The second edition of Marketing Analytics enables marketers and business analysts to leverage predictive techniques to measure and improve marketing performance. By exploring real-world marketing challenges, it provides clear, jargon-free explanations on how to apply different analytical models for each purpose. From targeted list creation and data segmentation, to testing campaign effectiveness, pricing structures and forecasting demand, this book offers a welcome handbook on how statistics, consumer analytics and modelling can be put to optimal use. The fully revised second edition of Marketing Analytics includes three new chapters on big data analytics, insights and panel regression, including how to collect, separate and analyze big data. All of the advanced tools and techniques for predictive analytics have been updated, translating models such as tobit analysis for customer lifetime value into everyday use. Whether an experienced practitioner or having no prior knowledge, methodologies are simplified to ensure the more complex aspects of data and analytics are fully accessible for any level of application. Complete with downloadable data sets and test bank resources, this book supplies a concrete foundation to optimize marketing analytics for day-to-day business advantage.

The Digital Supply Chain

The Digital Supply Chain
Author: Bart L. MacCarthy
Publisher: Elsevier
Total Pages: 466
Release: 2022-06-09
Genre: Transportation
ISBN: 0323916155
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The Digital Supply Chain is a thorough investigation of the underpinning technologies, systems, platforms and models that enable the design, management, and control of digitally connected supply chains. The book examines the origin, emergence and building blocks of the Digital Supply Chain, showing how and where the virtual and physical supply chain worlds interact. It reviews the enabling technologies that underpin digitally controlled supply chains and examines how the discipline of supply chain management is affected by enhanced digital connectivity, discussing purchasing and procurement, supply chain traceability, performance management, and supply chain cyber security. The book provides a rich set of cases on current digital practices and challenges across a range of industrial and business sectors including the retail, textiles and clothing, the automotive industry, food, shipping and international logistics, and SMEs. It concludes with research frontiers, discussing network science for supply chain analysis, challenges in Blockchain applications and in digital supply chain surveillance, as well as the need to re-conceptualize supply chain strategies for digitally transformed supply chains.

Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics
Author: Srikanta Mishra
Publisher: Elsevier
Total Pages: 252
Release: 2017-10-27
Genre: Science
ISBN: 0128032804
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Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal. - Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other subsurface problem domains - Written by practitioners for practitioners - Presents an easy to follow narrative which progresses from simple concepts to more challenging ones - Includes online resources with software applications and practical examples for the most relevant and popular statistical methods, using data sets from the petroleum geosciences - Addresses the theory and practice of statistical modeling and data analytics from the perspective of petroleum geoscience applications

Guide to Supply Chain Management

Guide to Supply Chain Management
Author: Colin Scott
Publisher: Springer
Total Pages: 218
Release: 2018-06-01
Genre: Business & Economics
ISBN: 331977185X
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This essential guide brings supply chain theory to life. Intended for readers with a business interest in supply chain management, the book covers the key topics in eleven chapters, including planning, sourcing, making, delivering and returning, as well as strategy, people, finance, customer service and outsourcing. Each chapter starts with a brief summary and learning objectives that guide the reader through the text. This second edition also explores digital, sustainability and innovation impacts on today’s global supply chains. The book is written in a clear and simple way, featuring a variety of figures, tables and recommendations for further reading. The respective chapters conclude with real-life case studies from different companies, illustrating best practices. In the course of their work, the authors have met professionals all over the world who are passionate about their business achievements. By including their vivid examples, the guide brings theory to life, enabling readers to understand and embrace the concepts and ideas presented. Colin Scott, Henriette Lundgren and Paul Thompson are experts in supply chain management and have worked with practitioners in businesses across the globe. Endorsement: This guide is a really useful reminder of what good practice is and how it should be applied within supply chain management. The book is relevant for students of supply chain management and professional practitioners alike. This book offers an invaluable guide to understanding the specific dynamics of your supply chain and the fundamentals underpinning it. It provides the framework for delivering a supply chain strategy based upon recognised best practice. Martin McCourt, CEO, Dyson Limited .

Data Governance

Data Governance
Author: Dimitrios Sargiotis
Publisher: Springer Nature
Total Pages: 553
Release:
Genre:
ISBN: 3031672682
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