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Style and Statistics

2016-11-30 Business & Economics
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Release : 2016-11-30
Genre : Business & Economics
Kind : eBook
Book Rating : 316/5 ( reviews)

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Book Synopsis Style and Statistics by : Brittany Bullard

Download or read book Style and Statistics written by Brittany Bullard. This book was released on 2016-11-30. Available in PDF, EPUB and Kindle. Book excerpt: A non-technical guide to leveraging retail analytics for personal and competitive advantage Style & Statistics is a real-world guide to analytics in retail. Written specifically for the non-IT crowd, this book explains analytics in an approachable, understandable way, and provides examples of direct application to retail merchandise management, marketing, and operations. The discussion covers current industry trends and emerging-standard processes, and illustrates how analytics is providing new solutions to perennial retail problems. You'll learn how to leverage the benefits of analytics to boost your personal career, and how to interpret data in a way that's useful to the average end business user or shopper. Key concepts are detailed in easy-to-understand language, and numerous examples highlight the growing importance of understanding analytics in the retail environment. The power of analytics has become apparent across industries, but it's left an especially indelible mark on retail. It's a complex topic, but you don't need to be a data scientist to take advantage of the opportunities it brings. This book shows you what you need to know, and how to put analytics to work with retail-specific applications. Learn how analytics can help you be better at your job Dig deeper into the customer's needs, wants, and dreams Streamline merchandise management, pricing, marketing, and more Find solutions for inefficiencies and inaccuracies As the retail customer evolves, so must the retail industry. The retail landscape not only includes in-store but also website, mobile site, mobile apps, and social media. With more and more competition emerging on all sides, retailers need to use every tool at their disposal to create value and gain a competitive advantage. Analytics offers a number of ways to make your company stand out, whether it's through improved operations, customer experience, or any of the other myriad factors that build a great place to shop. Style & Statistics provides an analytics primer with a practical bent, specifically for the retail industry.

Retail Analytics

2011-09-13 Business & Economics
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Release : 2011-09-13
Genre : Business & Economics
Kind : eBook
Book Rating : 320/5 ( reviews)

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Book Synopsis Retail Analytics by : Emmett Cox

Download or read book Retail Analytics written by Emmett Cox. This book was released on 2011-09-13. Available in PDF, EPUB and Kindle. Book excerpt: The inside scoop on boosting sales through spot-on analytics Retailers collect a huge amount of data, but don't know what to do with it. Retail Analytics not only provides a broad understanding of retail, but also shows how to put accumulated data to optimal use. Each chapter covers a different focus of the retail environment, from retail basics and organization structures to common retail database designs. Packed with case studies and examples, this book insightfully reveals how you can begin using your business data as a strategic advantage. Helps retailers and analysts to use analytics to sell more merchandise Provides fact-based analytic strategies that can be replicated with the same success the author achieved on a global level Reveals how retailers can begin using their data as a strategic advantage Includes examples from many retail departments illustrating successful use of data and analytics Analytics is the wave of the future. Put your data to strategic use with the proven guidance found in Retail Analytics.

Retail and Statistics

2024 Marketing
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Release : 2024
Genre : Marketing
Kind : eBook
Book Rating : 040/5 ( reviews)

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Book Synopsis Retail and Statistics by : Ashok Charan

Download or read book Retail and Statistics written by Ashok Charan. This book was released on 2024. Available in PDF, EPUB and Kindle. Book excerpt: "As the use of analytics becomes increasingly important in today's business landscape, The Marketing Analytics Practitioner's Guide (MAPG) provides a thorough understanding of marketing management concepts and their practical applications, making it a valuable resource for professionals and students alike. The four-volume compendium of MAPG provides an in-depth look at marketing management concepts and their practical applications, equipping readers with the knowledge and skills needed to effectively inform daily marketing decisions and strategy development and implementation. It seamlessly blends the art and science of marketing, reflecting the discipline's evolution in the era of data analytics. Whether you're a seasoned marketer or new to the field, the MAPG is an essential guide for mastering the use of analytics in modern marketing practices. Volume IV is divided into two parts - Retail and Statistics for Marketing Analytics. Retail delves into the various aspects of retail tracking, sales and distribution, retail analytics, and category management. The chapter on retail tracking covers in detail the processes that make up a retail measurement service, including the metrics supported by the service, the key benefits of the service, and how the data is interpreted. The sales and distribution chapter covers five key managerial objectives - building distribution, targeting the right channels and chains, optimizing assortment, securing retailer support, and managing stocks in trade. The retail analytics chapter covers a range of diagnostic analytic tools used to extract insights from disaggregate outlet-level data. Category management offers a framework for retailers to manage their business and for suppliers to understand the dynamics of trade marketing. Statistics for Marketing Analytics covers basic statistics, sampling, and marketing mix modelling. It aims to equip readers with the statistical knowledge and tools necessary to analyse and interpret marketing data. The chapters in this part provide a comprehensive understanding of statistical methods and their applications in marketing analytics, including sampling techniques, probability distributions, hypothesis testing, and regression analysis"--

Plunkett's Retail Industry Almanac: Retail Industry Market Research, Statistics, Trends & Leading Companies

2007-12 Business & Economics
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Release : 2007-12
Genre : Business & Economics
Kind : eBook
Book Rating : 012/5 ( reviews)

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Book Synopsis Plunkett's Retail Industry Almanac: Retail Industry Market Research, Statistics, Trends & Leading Companies by : Jack W. Plunkett

Download or read book Plunkett's Retail Industry Almanac: Retail Industry Market Research, Statistics, Trends & Leading Companies written by Jack W. Plunkett. This book was released on 2007-12. Available in PDF, EPUB and Kindle. Book excerpt: No other guide covers the complete retail picture like this exciting new volume. America's retail industry is in the midst of vast changes - superstores and giant discounters are popping up on major corners. Malls are lagging while "power centers" are surging ahead. Savvy firms are combining bricks, clicks and catalogs into multi-channel retail powerhouses. Which are the hottest retailers? What lies ahead? Our market research section shows you the trends and a thorough analysis of retail technologies, chain stores, shopping centers, mergers, finances and future growth within the industry. Included are major statistical tables showing everything from monthly U.S. retail sales, by sector, to mall sales per square foot, to the 10 largest malls in the US. Meanwhile, the corporate profiles section covering nearly 500 firms gives you complete profiles of the leading, fastest growing retail chains across the nation. From Wal-Mart and Costco to Barnes & Noble and Amazon, we profile the major companies that marketing executives, investors and job seekers most want to know about. These profiles include corporate name, address, phone, fax, web site, growth plans, competitive advantage, financial histories and up to 27 executive contacts by title. Purchasers of the printed book or PDF version may receive a free CD-ROM database of the corporate profiles, enabling export of vital corporate data for mail merge and other uses.

Big Data for Twenty-First-Century Economic Statistics

2022-03-11 Business & Economics
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Release : 2022-03-11
Genre : Business & Economics
Kind : eBook
Book Rating : 25X/5 ( reviews)

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Book Synopsis Big Data for Twenty-First-Century Economic Statistics by : Katharine G. Abraham

Download or read book Big Data for Twenty-First-Century Economic Statistics written by Katharine G. Abraham. This book was released on 2022-03-11. Available in PDF, EPUB and Kindle. Book excerpt: Introduction.Big data for twenty-first-century economic statistics: the future is now /Katharine G. Abraham, Ron S. Jarmin, Brian C. Moyer, and Matthew D. Shapiro --Toward comprehensive use of big data in economic statistics.Reengineering key national economic indicators /Gabriel Ehrlich, John Haltiwanger, Ron S. Jarmin, David Johnson, and Matthew D. Shapiro ;Big data in the US consumer price index: experiences and plans /Crystal G. Konny, Brendan K. Williams, and David M. Friedman ;Improving retail trade data products using alternative data sources /Rebecca J. Hutchinson ;From transaction data to economic statistics: constructing real-time, high-frequency, geographic measures of consumer spending /Aditya Aladangady, Shifrah Aron-Dine, Wendy Dunn, Laura Feiveson, Paul Lengermann, and Claudia Sahm ;Improving the accuracy of economic measurement with multiple data sources: the case of payroll employment data /Tomaz Cajner, Leland D. Crane, Ryan A. Decker, Adrian Hamins-Puertolas, and Christopher Kurz --Uses of big data for classification.Transforming naturally occurring text data into economic statistics: the case of online job vacancy postings /Arthur Turrell, Bradley Speigner, Jyldyz Djumalieva, David Copple, and James Thurgood ;Automating response evaluation for franchising questions on the 2017 economic census /Joseph Staudt, Yifang Wei, Lisa Singh, Shawn Klimek, J. Bradford Jensen, and Andrew Baer ;Using public data to generate industrial classification codes /John Cuffe, Sudip Bhattacharjee, Ugochukwu Etudo, Justin C. Smith, Nevada Basdeo, Nathaniel Burbank, and Shawn R. Roberts --Uses of big data for sectoral measurement.Nowcasting the local economy: using Yelp data to measure economic activity /Edward L. Glaeser, Hyunjin Kim, and Michael Luca ;Unit values for import and export price indexes: a proof of concept /Don A. Fast and Susan E. Fleck ;Quantifying productivity growth in the delivery of important episodes of care within the Medicare program using insurance claims and administrative data /John A. Romley, Abe Dunn, Dana Goldman, and Neeraj Sood ;Valuing housing services in the era of big data: a user cost approach leveraging Zillow microdata /Marina Gindelsky, Jeremy G. Moulton, and Scott A. Wentland --Methodological challenges and advances.Off to the races: a comparison of machine learning and alternative data for predicting economic indicators /Jeffrey C. Chen, Abe Dunn, Kyle Hood, Alexander Driessen, and Andrea Batch ;A machine learning analysis of seasonal and cyclical sales in weekly scanner data /Rishab Guha and Serena Ng ;Estimating the benefits of new products /W. Erwin Diewert and Robert C. Feenstra.

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