{"id":3268,"date":"2023-02-19T16:12:14","date_gmt":"2023-02-19T16:12:14","guid":{"rendered":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/chapter\/data-vs-information\/"},"modified":"2025-05-28T14:46:10","modified_gmt":"2025-05-28T14:46:10","slug":"data-vs-information","status":"publish","type":"chapter","link":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/chapter\/data-vs-information\/","title":{"raw":"Learn It 17.2.1: How Businesses Use Information","rendered":"Learn It 17.2.1: How Businesses Use Information"},"content":{"raw":"<section class=\"textbox learningGoals\">\r\n<ul>\r\n\t<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Understand the difference between data and information&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:14720,&quot;10&quot;:0,&quot;11&quot;:4,&quot;14&quot;:{&quot;1&quot;:2,&quot;2&quot;:0},&quot;15&quot;:&quot;Calibri&quot;,&quot;16&quot;:10}\">Understand the difference between data and information<\/span><\/li>\r\n\t<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Recognize different types of data that businesses collect&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:14720,&quot;10&quot;:0,&quot;11&quot;:4,&quot;14&quot;:{&quot;1&quot;:2,&quot;2&quot;:0},&quot;15&quot;:&quot;Calibri&quot;,&quot;16&quot;:10}\">Recognize different types of data that businesses collect<\/span><\/li>\r\n\t<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Understand the difference between data mining and data warehousing&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:14720,&quot;10&quot;:0,&quot;11&quot;:4,&quot;14&quot;:{&quot;1&quot;:2,&quot;2&quot;:0},&quot;15&quot;:&quot;Calibri&quot;,&quot;16&quot;:10}\">Understand the difference between data mining and data warehousing<\/span><\/li>\r\n\t<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Explain how businesses use information&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:14720,&quot;10&quot;:0,&quot;11&quot;:4,&quot;14&quot;:{&quot;1&quot;:2,&quot;2&quot;:0},&quot;15&quot;:&quot;Calibri&quot;,&quot;16&quot;:10}\">Explain how businesses use information<\/span><\/li>\r\n<\/ul>\r\n<\/section>\r\n<h2>Data vs. Information<\/h2>\r\n<section class=\"textbox keyTakeaway\">\r\n<h3>data vs. information<\/h3>\r\n<ul>\r\n\t<li><b>Data<\/b> can be any character, text, word, number, and, if not put into context, means little or nothing to a human.<\/li>\r\n\t<li><strong>I<\/strong><b>nformation<\/b>\u00a0is data formatted in a manner that allows it to be utilized by human beings in some significant way.<\/li>\r\n<\/ul>\r\n<\/section>\r\n<p><span style=\"font-size: 1rem; text-align: initial;\">An individual has an almost unlimited amount of data associated with him or herself.\u00a0 This data is of little use to business in its raw, unorganized form. It is not until the data is formatted or compiled into something meaningful that business has information about the individual. For example, suppose the department store Big Box is collecting data about its customers from a loyalty card program and online customer surveys. It collects the following data about a particular customer:<\/span><\/p>\r\n<ul>\r\n\t<li>Age: 34<\/li>\r\n\t<li>Big Box Account #: 123456<\/li>\r\n\t<li>Gender: Female<\/li>\r\n\t<li>Zip Code: 22322<\/li>\r\n\t<li>Children: 2<\/li>\r\n\t<li>Marital Status: Married<\/li>\r\n\t<li>Last Purchase: Jogging Pants<\/li>\r\n<\/ul>\r\n<p>These pieces of data alone are not particularly useful to Big Box. It is not until the data is compiled that Big Box begins to get a \"picture\" of the customer behind account #123456. Transforming this data into information, Big Box is able to know that this customer is a married female who has 2 children and enjoys jogging. They also know that because she lives in zip code 22322 that she is most likely to shop at their store at Premium Mall since the mall is in the same zip code as the customer's home address. If Big Box wants to market to her successfully, then they will use this information to include her in an upcoming active wear promotion. Also, since she has children they will also include her in promotions that include children's wear. The key to collecting data and turning it into useful information for Big Box is that it is a continual process.<\/p>\r\n<p>So, Big Box includes Customer #123456 in a future mailing and when she comes into the store and makes a purchase her loyalty card records that she purchased several items in the toddler clothing department. This data can be useful information when Big Box sends out information about their annual \"Santa Comes to Town\" promotion. They can use the purchase data to inform them that Customer #123456 has a toddler and toddlers love to come see Santa!<\/p>\r\n<section class=\"textbox tryIt\">[ohm2_question height=\"450\"]6845[\/ohm2_question]<\/section>","rendered":"<section class=\"textbox learningGoals\">\n<ul>\n<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Understand the difference between data and information&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:14720,&quot;10&quot;:0,&quot;11&quot;:4,&quot;14&quot;:{&quot;1&quot;:2,&quot;2&quot;:0},&quot;15&quot;:&quot;Calibri&quot;,&quot;16&quot;:10}\">Understand the difference between data and information<\/span><\/li>\n<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Recognize different types of data that businesses collect&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:14720,&quot;10&quot;:0,&quot;11&quot;:4,&quot;14&quot;:{&quot;1&quot;:2,&quot;2&quot;:0},&quot;15&quot;:&quot;Calibri&quot;,&quot;16&quot;:10}\">Recognize different types of data that businesses collect<\/span><\/li>\n<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Understand the difference between data mining and data warehousing&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:14720,&quot;10&quot;:0,&quot;11&quot;:4,&quot;14&quot;:{&quot;1&quot;:2,&quot;2&quot;:0},&quot;15&quot;:&quot;Calibri&quot;,&quot;16&quot;:10}\">Understand the difference between data mining and data warehousing<\/span><\/li>\n<li><span data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Explain how businesses use information&quot;}\" data-sheets-userformat=\"{&quot;2&quot;:14720,&quot;10&quot;:0,&quot;11&quot;:4,&quot;14&quot;:{&quot;1&quot;:2,&quot;2&quot;:0},&quot;15&quot;:&quot;Calibri&quot;,&quot;16&quot;:10}\">Explain how businesses use information<\/span><\/li>\n<\/ul>\n<\/section>\n<h2>Data vs. Information<\/h2>\n<section class=\"textbox keyTakeaway\">\n<h3>data vs. information<\/h3>\n<ul>\n<li><b>Data<\/b> can be any character, text, word, number, and, if not put into context, means little or nothing to a human.<\/li>\n<li><strong>I<\/strong><b>nformation<\/b>\u00a0is data formatted in a manner that allows it to be utilized by human beings in some significant way.<\/li>\n<\/ul>\n<\/section>\n<p><span style=\"font-size: 1rem; text-align: initial;\">An individual has an almost unlimited amount of data associated with him or herself.\u00a0 This data is of little use to business in its raw, unorganized form. It is not until the data is formatted or compiled into something meaningful that business has information about the individual. For example, suppose the department store Big Box is collecting data about its customers from a loyalty card program and online customer surveys. It collects the following data about a particular customer:<\/span><\/p>\n<ul>\n<li>Age: 34<\/li>\n<li>Big Box Account #: 123456<\/li>\n<li>Gender: Female<\/li>\n<li>Zip Code: 22322<\/li>\n<li>Children: 2<\/li>\n<li>Marital Status: Married<\/li>\n<li>Last Purchase: Jogging Pants<\/li>\n<\/ul>\n<p>These pieces of data alone are not particularly useful to Big Box. It is not until the data is compiled that Big Box begins to get a &#8220;picture&#8221; of the customer behind account #123456. Transforming this data into information, Big Box is able to know that this customer is a married female who has 2 children and enjoys jogging. They also know that because she lives in zip code 22322 that she is most likely to shop at their store at Premium Mall since the mall is in the same zip code as the customer&#8217;s home address. If Big Box wants to market to her successfully, then they will use this information to include her in an upcoming active wear promotion. Also, since she has children they will also include her in promotions that include children&#8217;s wear. The key to collecting data and turning it into useful information for Big Box is that it is a continual process.<\/p>\n<p>So, Big Box includes Customer #123456 in a future mailing and when she comes into the store and makes a purchase her loyalty card records that she purchased several items in the toddler clothing department. This data can be useful information when Big Box sends out information about their annual &#8220;Santa Comes to Town&#8221; promotion. They can use the purchase data to inform them that Customer #123456 has a toddler and toddlers love to come see Santa!<\/p>\n<section class=\"textbox tryIt\"><iframe loading=\"lazy\" id=\"ohm6845\" class=\"resizable\" src=\"https:\/\/ohm.one.lumenlearning.com\/multiembedq.php?id=6845&theme=lumen&iframe_resize_id=ohm6845&source=tnh&show_question_numbers\" width=\"100%\" height=\"450\"><\/iframe><\/section>\n","protected":false},"author":21,"menu_order":8,"template":"","meta":{"_candela_citation":"[{\"type\":\"cc\",\"description\":\"Sign showing data to information to knowledge to learning\",\"author\":\"geralt\",\"organization\":\"\",\"url\":\"https:\/\/pixabay.com\/en\/shield-transport-panel-board-229112\/\",\"project\":\"\",\"license\":\"cc0\",\"license_terms\":\"\"},{\"type\":\"original\",\"description\":\"Data vs. Information\",\"author\":\"Linda Williams\",\"organization\":\"Lumen Learning\",\"url\":\"\",\"project\":\"\",\"license\":\"cc-by\",\"license_terms\":\"\"}]","pb_show_title":"on","pb_short_title":"","pb_subtitle":"","pb_authors":[],"pb_section_license":""},"chapter-type":[],"contributor":[],"license":[],"part":3260,"module-header":"learn_it","content_attributions":[{"type":"cc","description":"Sign showing data to information to knowledge to learning","author":"geralt","organization":"","url":"https:\/\/pixabay.com\/en\/shield-transport-panel-board-229112\/","project":"","license":"cc0","license_terms":""},{"type":"original","description":"Data vs. Information","author":"Linda Williams","organization":"Lumen Learning","url":"","project":"","license":"cc-by","license_terms":""}],"internal_book_links":[],"video_content":null,"cc_video_embed_content":{"cc_scripts":"","media_targets":[]},"try_it_collection":null,"_links":{"self":[{"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/pressbooks\/v2\/chapters\/3268"}],"collection":[{"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/pressbooks\/v2\/chapters"}],"about":[{"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/wp\/v2\/types\/chapter"}],"author":[{"embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/wp\/v2\/users\/21"}],"version-history":[{"count":10,"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/pressbooks\/v2\/chapters\/3268\/revisions"}],"predecessor-version":[{"id":9768,"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/pressbooks\/v2\/chapters\/3268\/revisions\/9768"}],"part":[{"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/pressbooks\/v2\/parts\/3260"}],"metadata":[{"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/pressbooks\/v2\/chapters\/3268\/metadata\/"}],"wp:attachment":[{"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/wp\/v2\/media?parent=3268"}],"wp:term":[{"taxonomy":"chapter-type","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/pressbooks\/v2\/chapter-type?post=3268"},{"taxonomy":"contributor","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/wp\/v2\/contributor?post=3268"},{"taxonomy":"license","embeddable":true,"href":"https:\/\/content.one.lumenlearning.com\/introductiontobusiness\/wp-json\/wp\/v2\/license?post=3268"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}