{"id":1100,"date":"2015-05-14T11:29:44","date_gmt":"2015-05-14T15:29:44","guid":{"rendered":"https:\/\/solutionsreview.com\/business-intelligence\/?p=1100"},"modified":"2016-10-04T14:20:28","modified_gmt":"2016-10-04T18:20:28","slug":"influencing-outcomes-prescriptive-analytics-for-daily-users","status":"publish","type":"post","link":"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/","title":{"rendered":"Influencing Outcomes: Prescriptive Analytics for Daily Users"},"content":{"rendered":"<p><a href=\"https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Influencing-Outcomes-Prescriptive-Analytics-for-Daily-Users.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1103\" src=\"https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Influencing-Outcomes-Prescriptive-Analytics-for-Daily-Users.jpg\" alt=\"Influencing Outcomes Prescriptive Analytics for Daily Users\" width=\"600\" height=\"270\" srcset=\"https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Influencing-Outcomes-Prescriptive-Analytics-for-Daily-Users.jpg 600w, https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Influencing-Outcomes-Prescriptive-Analytics-for-Daily-Users-450x203.jpg 450w, https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Influencing-Outcomes-Prescriptive-Analytics-for-Daily-Users-300x135.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/a><\/p>\n<p><strong>By\u00a0Southard Jones<\/strong><\/p>\n<p>As the awareness around the possible gains that can be afforded to organizations by leveraging analytics grows, so does the awareness of the various categories of analytics. When you look at the Fortune 1000, I would estimate that 75 percent of all large corporations are familiar with &#8220;prescriptive analytics.&#8221; These enterprises have IT teams that know prescriptive analytics exists and they understand the benefits this approach offers. However, I would also say less than 25 percent are using prescriptive analytics at scale.<\/p>\n<p>The primary reason for this comes down to the data challenge. This area of analytics is complex and today&#8217;s organizations usually keep it within the realm of data scientists or data analysts. It\u2019s currently difficult to update prescriptive analytics programs in a timely manner, and nearly impossible to then have that information accessible to business users so that it can be used in a meaningful way.<\/p>\n<p>The key to successfully implementing prescriptive analytics is part technology and part expertise.<\/p>\n<p>However, this is a growing opportunity and it will expand as tasks can be automated. The important thing here is making prescriptive analytics suitable for everyone within a business, rather than it being the preserve of the data scientists alone. As this automation takes place, I think we\u2019ll see use of prescriptive analytics double within the F1000 over the next year.<\/p>\n<p>Predictive analytics helps a business predict what is likely to happen, whereas prescriptive analytics helps an organization influence what is going to happen. This is the next step in using data to run a business better. A great example of this is Amazon\u2019s usage of prescriptive analytics for recommendations around a purchase: when a shopper buys an item, Amazon uses data to suggest other items for the shopper to buy based on the original purchase. This approach helps Amazon take a greater share of the customer\u2019s wallet and provides a better user experience.<\/p>\n<p>Prescriptive analytics has the most impact when you can get data into the hands of ordinary people across a business, rather than keeping it within the data science team. If you get people to use data as part of their decisions on a daily basis, their individual performance can improve. Over time, this adds up to a huge benefit for the whole company,\u00a0whereas predictive analytics tends to improve a small piece or segment of the business.<\/p>\n<p>Prescriptive can be very useful for sales environments, where data can be used to improve the chances of success. What would be the best price to ask for something? Do you think they would pay more or less if the deal was different? Which product has the best fit with the customer? Which customers are most likely to buy that given product based on their demographics and previous purchase behavior? Getting uplift in profitability or winning ratio can have a huge impact on the business.<\/p>\n<p>In order for a business to be successful, its approach to data has to go through a maturity curve; first, getting the diagnostics analytics right is critical, after this step, it is key to implement predictive analytics and then the business can follow that with prescriptive analytics. Diagnostic analytics helps a person understand what is happening in the business and why. Predictive analytics involves using that past data to \u2018predict\u2019 with some confidence what might happen in future. Prescriptive takes the \u201cWhat might happen?\u201d scenarios and helps you load the dice so that it comes true \u2013 actually influencing the future so that it rewards the company.<\/p>\n<p><a href=\"https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Southard-Jones-Headshot.jpeg\"><img loading=\"lazy\" decoding=\"async\" class=\" size-full wp-image-1101 alignleft\" src=\"https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Southard-Jones-Headshot.jpeg\" alt=\"Southard Jones Birst\" width=\"166\" height=\"225\" \/><\/a><em>Southard Jones is <a href=\"https:\/\/www.birst.com\/\" target=\"_blank\">Birst<\/a>&#8216;s VP of Product Strategy. Southard was previously Vice President of Products at <a href=\"https:\/\/scienergy.com\/\" target=\"_blank\">SCIenergy<\/a>, a leading provider of Energy Management Analytics to commercial buildings, where he transformed product and go-to-market strategy, leading the company to a five-fold growth in quarterly ACV bookings. Prior to SCIenergy, as Vice President of Products, he led <a href=\"https:\/\/www.right90.com\/\" target=\"_blank\">Right90<\/a>, a pioneer in SaaS sales forecasting, from start-up to acquisition. His software career started at <a href=\"https:\/\/www.oracle.com\/us\/products\/applications\/siebel\/overview\/index.html\" target=\"_blank\">Siebel<\/a> where he ran Performance Management and Workforce Analytics product lines in Siebel&#8217;s fastest-growing business unit, Sibel Analytics.\u00a0<\/em><em>Southard holds a BS in Mechanical Engineering from Cornell University and an MBA and MEM from Northwestern&#8217;s Kellogg School of Management and McCormick School of Engineering. Connect with him on <a href=\"https:\/\/www.linkedin.com\/pub\/southard-jones\/0\/1aa\/753\" target=\"_blank\">LinkedIn<\/a>.<\/em><\/p>\n<p>&nbsp;<\/p>\n<p>&nbsp;<\/p>\n<div class=\"widget\"><div class=\"aside-card\">\t\t\t<div class=\"textwidget\"><p><a href=\"https:\/\/insightjam.com\"><img decoding=\"async\" title=\"Insight Jam Ad\" src=\"https:\/\/solutionsreview.com\/wp-content\/uploads\/2023\/11\/ij2.jpg\" alt=\"Insight Jam Ad\" \/><\/a><\/p>\n<\/div>\n\t\t<\/div><\/div>\n<h3><\/h3>\n","protected":false},"excerpt":{"rendered":"<p>By\u00a0Southard Jones As the awareness around the possible gains that can be afforded to organizations by leveraging analytics grows, so does the awareness of the various categories of analytics. When you look at the Fortune 1000, I would estimate that 75 percent of all large corporations are familiar with &#8220;prescriptive analytics.&#8221; These enterprises have IT [&hellip;]<\/p>\n","protected":false},"author":23,"featured_media":1103,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[4],"tags":[47,115,179],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Influencing Outcomes: Prescriptive Analytics for Daily Users<\/title>\n<meta name=\"description\" content=\"&quot;When you look at the Fortune 1000, I would estimate that 75 percent of all large corporations are familiar with &quot;prescriptive analytics.&quot;\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Tim King\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/\",\"url\":\"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/\",\"name\":\"Influencing Outcomes: Prescriptive Analytics for Daily Users\",\"isPartOf\":{\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Influencing-Outcomes-Prescriptive-Analytics-for-Daily-Users.jpg\",\"datePublished\":\"2015-05-14T15:29:44+00:00\",\"dateModified\":\"2016-10-04T18:20:28+00:00\",\"author\":{\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/#\/schema\/person\/154e152a275103e373e24ada7f2feb5c\"},\"description\":\"\\\"When you look at the Fortune 1000, I would estimate that 75 percent of all large corporations are familiar with \\\"prescriptive analytics.\\\"\",\"breadcrumb\":{\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/#primaryimage\",\"url\":\"https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Influencing-Outcomes-Prescriptive-Analytics-for-Daily-Users.jpg\",\"contentUrl\":\"https:\/\/solutionsreview.com\/business-intelligence\/files\/2015\/05\/Influencing-Outcomes-Prescriptive-Analytics-for-Daily-Users.jpg\",\"width\":600,\"height\":270,\"caption\":\"Influencing Outcomes Prescriptive Analytics for Daily Users\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/influencing-outcomes-prescriptive-analytics-for-daily-users\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/solutionsreview.com\/business-intelligence\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Influencing Outcomes: Prescriptive Analytics for Daily Users\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/solutionsreview.com\/business-intelligence\/#website\",\"url\":\"https:\/\/solutionsreview.com\/business-intelligence\/\",\"name\":\"Best Business Intelligence and Data Analytics Tools, Software, Solutions &amp; 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