A clothing retailer collects and stores data about its sales revenue. which of the following would be part of its data ecosystem? select all that apply.

OPTIONAL: FAMILIAR WITH DATA ANALYTICS? – TAKE OUR DIAGNOSTIC QUIZ 1. A clothing retailer collects and stores data about its sales revenue. Which of the following would be part of its data ecosystem? Select all that apply.  The databases of competing retailers (Correct)  The cloud that stores its database (Correct)  Records of its inventory (Correct)  The database of sales revenue

Introduction Zara’s parent company Inditex has managed to thrive in the last decade while several other fashion retailers have faced declining sales or stagnant growth. Inditex has grown over 220% in annual revenue since 2004, more than its key competitors like H&M, Gap, or Banana Republic (1). The value of a fast fashion brand is to bring the latest designs and “trendiest trends” into the market as quickly as possible, preferably as soon as they became hot on the catwalk, and to provide these at a reasonable price. The traditional fashion industry is not well equipped to provide such value as it operates on a bi-annual or seasonal basis, with long production lead times due to outsourced manufacturing to low cost-centers. Zara has turned the industry on its head by using data and analytics to track demand on a real-time, localized basis and push new inventory in response to customer pull. This enables them to manage one of the most efficient supply chains in the fashion industry, and to create the fast fashion category as a market leader. Pathways to a Just Digital Future Watch this tech inequality series featuring scholars, practitioners, & activists How Zara Uses Data Inditex is a mammoth retailer, producing over 840 million garments in a year, the majority of which are sold by Zara (2). Every item of clothing is tagged with an RFID microchip before it leaves a centralized warehouse, which enables them to track that piece of inventory until it is sold to a customer (3). ...

The Japanese apparel retailer Uniqlo Co., Ltd. generated a revenue of around 843 billion Japanese yen in fiscal year 2021. Uniqlo, one of the country’s major fast fashion retailers, is a wholly owned subsidiary of Fast Retailing Co., Ltd. Fast Retailing itself is the Uniqlo’s success story The company, which was founded in 1984, offers casual wear at affordable prices, with a focus on simple and easy to combine designs in a variety of colors. Providing consumers with season-appropriate "Heattech" and "AIRism" innerwear as well as ultra-light down outerwear, it consolidated its position as one of the Uniqlo’s global position Nowadays, Uniqlo is one of Asia’s largest apparel chains, contributing over 80 percent to Uniqlo is among the Supplementary notes The figures provided in the report by Mitsui Fudosan are based on the annual securities reports and other released materials of the mentioned company. Data prior to fiscal year 2018 come from previous reports. 100 Japanese yen equal 0.76 U.S. dollars or 0.71 euros as of January 2023. Values have been rounded. The most important statistics • Women's fashion market size in Japan 2010-2019 • Women's underwear market size in Japan 2013-2022 • Men's fashion market size in Japan 2010-2019 • Men's underwear market size in Japan 2013-2022 • Children's fashion market size in Japan 2010-2019 • Kimono retail market size in Japan 2012-2022 The most important statistics • Monthly average household clothing and footwear expenses Ja...

• Retail sales represent a key macroeconomic metric that tracks consumer demand for finished goods. • Consumer purchases of durable and non-durable goods are compiled in a report. • The retail sales report helps analysts and investors gauge the health of the economy and any inflationary pressures that may exist. • Data is gathered by the U.S. Census Bureau and includes sales from 13 types of food service and retail stores. • An accurate measure of retail sales is vital for gauging the economic health of the U.S. because consumer spending accounts for two-thirds of the gross domestic product. Major changes in price can affect retail sales figures. These fluctuations in prices are seen primarily in two retail sales categories: food retailers and gas stations. Large increases in food and energy prices can cause sales figures to drop in both categories, thus affecting the sales of a particular month. The data for the report is collected by the U.S. Census Bureau in its Monthly Retail Trade Survey. The report, which is released in the middle of every month, shows the total number of sales in the measured time period, usually the prior month, and the percentage change from the last report. The report also includes the year-over-year change in sales to account for the seasonality of consumer-based retail. The sales figures are often presented in two ways: with and without the inclusion ofauto and gas sales. Most economists choose to analyze retail sales without including car sale...

Foundations: Data, Data, Everywhere Week 1 Quiz Answers Practice Quiz-1 Answers L3 Understanding the data ecosystem: Q1. Which of the following statements best defines data? • Data is an assortment of questions. • Data is a business process. • Data is a collection of facts. • Data is the use of calculations and statistics. Q2. Fill in the blank: In data analytics, the data ecosystem refers to the various elements that interact with one another to produce, manage, store, _____, analyze, and share data. • organize • ingest • merge • locate Q3. Which of the following terms refers to the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making? • Data life cycle • Data insight • Data elements • Data analysis Q4. An airline collects, observes, and analyzes its customers’ online behaviors. Then, it uses the insights gained to choose what new products and services to offer. What business process does this describe? • Analytical thinking • Performance measurement • Collaboration with stakeholders • Data-driven decision-making Foundations: Data, Data, Everywhere Weekly challenge 1 Answers Q1. Which of the following options describes data analysis? • Creating new ways of modeling and understanding the unknown by using raw data • The collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making • The various elements that interact wi...