{"id":5600,"date":"2015-08-13T08:10:13","date_gmt":"2015-08-13T15:10:13","guid":{"rendered":"http:\/\/www.esri.com\/about\/newsroom\/insider\/?p=5600"},"modified":"2015-08-13T08:10:13","modified_gmt":"2015-08-13T15:10:13","slug":"go-big-time-with-big-data","status":"publish","type":"insider","link":"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data","title":{"rendered":"Go Big Time with Big Data"},"content":{"rendered":"

Big data<\/a> is measured by volume, velocity, and variety. My colleague and fellow big data lover Mansour Raad recently highlighted how these three measures themselves are increasing almost exponentially in today\u2019s sensored world while talking at one of the commercial business special interest groups (SIGs) during the Esri User Conference (UC).
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Big data is expanding at an ever increasing rate. Businesses need to find a way to manage and measure it to be successful.<\/figcaption><\/figure>\nWe no longer store and batch process data. Today, everything is in a stream\u2014a misnomer when we consider the tidal wave of data. We have also become living, breathing, walking, talking sensors thanks to our smart phones and Fitbit-like devices that track us as we are active, eating, and even our sleep.
\nDoing Business in the Internet of Everything<\/strong>
\nWe are living in the Internet of Everything (IoE) because of this continuous data stream. In the business world every consumer action can be recorded. The instant an item is pulled from a shelf, we know if you keep that item, or put it back on the shelf, how many items were picked up, and how many were purchased, when, and where. Many stores have sensors in the floors to understand customer walk patterns, promotion effectiveness, linger time, and hotspots.
\nAll this information is fuel for predictive analytics. We are now in the age of learning algorithms which auto-pilot themselves through the oceans of data and parameters in big data and provide insights which companies could not discover in other ways.
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By seeing the geographic location of tweets, companies can monitor sales, sentiment, and improve customer satisfaction in ways they never could before.<\/figcaption><\/figure>\nGeographic relationships can now be parametrized, so we can easily ask questions that help us gain real knowledge about customers as consumers and their habits and needs.
\nGeography Makes Sense of the Barrage of Business Data<\/strong>
\nOne example I came across recently exemplifies how location\u2014the context in which all things are connected based on where they are\u2014is changing business. A retailer is using \u201cfeels-like\u201d temperatures to look at different beverage purchasing patterns by geography and segmentation.
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Accuweather uses the ArcGIS platform to analyze the correlation between temperature and an increase or decrease in the sales of men\u2019s shaving supplies.<\/figcaption><\/figure>\n<\/em><\/strong>Regional patterns based on differences in how consumers experience the weather and their perception drive different choices in drinks with the same actual temperature. Big data is being used to identify these patterns and differentiate between say, Chicago and Atlanta to merchandize stores and develop forward looking, proactive marketing campaigns based on past experience. Different day temperatures, time of year, consumer origin, local events; all these complicating factors can be understood much better by learning from geography. \u201cThe algorithm\u201d has learned its geography lesson and is now able to apply it.
\nAgain, to paraphrase Mansour, yes, batch was good\u2014but streams, fed through geographic pattern analysis, and the ability to learn in real-time, is more important. Are you ready for the wave of big data to redirect your business?<\/p>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","transcript_file":"","podmotor_file_id":"","podmotor_episode_id":"","castos_file_data":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[275982],"tags":[],"class_list":["post-5600","insider","type-insider","status-publish","format-standard","hentry","category-vision"],"acf":[],"yoast_head":"\nGo Big Time with Big Data<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Go Big Time with Big Data\" \/>\n<meta property=\"og:description\" content=\"Big data is measured by volume, velocity, and variety. My colleague and fellow big data lover Mansour Raad recently highlighted how these three measures themselves are increasing almost exponentially in today\u2019s sensored world while talking at one of the commercial business special interest groups (SIGs) during the Esri User Conference (UC). We no longer store […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data\" \/>\n<meta property=\"og:site_name\" content=\"Esri\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.esri.com\/about\/newsroom\/app\/themes\/esri_newsroom\/placeholders\/Newsroom-Keyart-Wide.jpg\" \/><meta property=\"og:image\" content=\"https:\/\/www.esri.com\/about\/newsroom\/app\/themes\/esri_newsroom\/placeholders\/Newsroom-Keyart-Wide.jpg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@Esri\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\n\t \"@context\": \"https:\/\/schema.org\",\n\t \"@graph\": [\n\t {\n\t \"@type\": \"WebPage\",\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data\",\n\t \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data\",\n\t \"name\": \"Go Big Time with Big Data\",\n\t \"isPartOf\": {\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#website\"\n\t },\n\t \"primaryImageOfPage\": {\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data#primaryimage\"\n\t },\n\t \"image\": {\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data#primaryimage\"\n\t },\n\t \"thumbnailUrl\": \"http:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/files\/2015\/08\/482037119_sm.jpg\",\n\t \"datePublished\": \"2015-08-13T15:10:13+00:00\",\n\t \"breadcrumb\": {\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data#breadcrumb\"\n\t },\n\t \"inLanguage\": \"en-US\",\n\t \"potentialAction\": [\n\t {\n\t \"@type\": \"ReadAction\",\n\t \"target\": [\n\t \"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data\"\n\t ]\n\t }\n\t ]\n\t },\n\t {\n\t \"@type\": \"ImageObject\",\n\t \"inLanguage\": \"en-US\",\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data#primaryimage\",\n\t \"url\": \"http:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/files\/2015\/08\/482037119_sm.jpg\",\n\t \"contentUrl\": \"http:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/files\/2015\/08\/482037119_sm.jpg\"\n\t },\n\t {\n\t \"@type\": \"BreadcrumbList\",\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data#breadcrumb\",\n\t \"itemListElement\": [\n\t {\n\t \"@type\": \"ListItem\",\n\t \"position\": 1,\n\t \"name\": \"Home\",\n\t \"item\": \"https:\/\/www.esri.com\/about\/newsroom\"\n\t },\n\t {\n\t \"@type\": \"ListItem\",\n\t \"position\": 2,\n\t \"name\": \"Go Big Time with Big Data\"\n\t }\n\t ]\n\t },\n\t {\n\t \"@type\": \"WebSite\",\n\t \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#website\",\n\t \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/\",\n\t \"name\": \"Esri\",\n\t \"description\": \"Esri Newsroom\",\n\t \"potentialAction\": [\n\t {\n\t \"@type\": \"SearchAction\",\n\t \"target\": {\n\t \"@type\": \"EntryPoint\",\n\t \"urlTemplate\": \"https:\/\/www.esri.com\/about\/newsroom\/?s={search_term_string}\"\n\t },\n\t \"query-input\": {\n\t \"@type\": \"PropertyValueSpecification\",\n\t \"valueRequired\": true,\n\t \"valueName\": \"search_term_string\"\n\t }\n\t }\n\t ],\n\t \"inLanguage\": \"en-US\"\n\t }\n\t ]\n\t}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Go Big Time with Big Data","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.esri.com\/about\/newsroom\/insider\/go-big-time-with-big-data","og_locale":"en_US","og_type":"article","og_title":"Go Big Time with Big Data","og_description":"Big data is measured by volume, velocity, and variety. 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