{"id":11472,"date":"2014-09-16T23:48:01","date_gmt":"2014-09-16T23:48:01","guid":{"rendered":"http:\/\/www.cloudcomputing-news.net\/news\/2014\/sep\/17\/ibms-watson-analytics-how-it-makes-sales-and-marketings-job-easier\/"},"modified":"2014-09-16T23:48:01","modified_gmt":"2014-09-16T23:48:01","slug":"ibms-watson-analytics-how-it-makes-sales-and-marketings-job-easier","status":"publish","type":"post","link":"https:\/\/icloud.pe\/blog\/ibms-watson-analytics-how-it-makes-sales-and-marketings-job-easier\/","title":{"rendered":"IBM\u2019s Watson Analytics: How it makes sales and marketing\u2019s job easier"},"content":{"rendered":"<p><a href=\"http:\/\/www.cloudcomputing-news.net\/news\/2014\/sep\/16\/ibm-introduces-watson-analytics-gives-data-science-mass-appeal\/\">Yesterday IBM unveiled Watson Analytics<\/a>, a freemium data science tool for businesses of all sizes utilising the power of Watson&rsquo;s supercomputer technology.<\/p>\n<p>As we reported, for a company which isn&rsquo;t averse to bigging itself up, Watson Analytics appears to be a release of which Big Blue is particularly proud, with IBM exec Oliver Oursin calling it a &lsquo;breakthrough&rsquo;.<\/p>\n<p>The main talking point is that Watson uses natural language to spit out its analysis, meaning everyone in the business can get results. Whether you&rsquo;re in sales, marketing, or the CEO, and whether your knowledge of code, mathematics and algorithms is spotty at best, Watson Analytics aims to make your job easier.<\/p>\n<p>Ask Watson a question such as &lsquo;Which sales are likely to close?&rsquo;, or a statement such as &lsquo;Show me revenue by time period&rsquo;, and it will come back with similar results in plain language, not a bunch of code.<\/p>\n<p>Gene Villeneuve, European predictive &amp; business intelligence sales and brand leader at IBM, explained to <em>CloudTech<\/em> the various types of algorithms used in Watson, from analytical techniques such as correlations, trending, forecasting, and scoring of the data, to SPSS algorithms, a data mining software application built by IBM.<\/p>\n<p>&ldquo;By embedding capabilities around advanced algorithms, we are giving guided analytics directly in the box for end users,&rdquo; says Villeneuve. &ldquo;That&rsquo;s the intent: not only is it really easy to get started, but once you&rsquo;re in there and having this very immersive dialogue with the data, Watson Analytics will guide you to see other things you wouldn&rsquo;t have been able to see with other capabilities on the market today.&rdquo;<\/p>\n<p>Oliver Oursin, global predictive and business intelligence solutions, explained how the type of question asked in the front end will influence what Watson digs through in the back end.<\/p>\n<p>&ldquo;When you ask the question, the real language question to us, what we&rsquo;re doing is trying to go after key concepts in that question,&rdquo; he says. &ldquo;If I say &lsquo;can you compare the quarters and the revenue?&rsquo;, you get a bar chart, or something similar. If I say &lsquo;can you give me the trend of the revenue over the quarters?&rsquo;, then I would have to bring a line chart.<\/p>\n<p>&ldquo;That&rsquo;s a very simple example, how the analytics of the question drives the results,&rdquo; he adds.<\/p>\n<p>&ldquo;As we go into the mathematical end of it, obviously we have a lot of algorithms in there that are used in parallel, and they&rsquo;re used where they make most sense,&rdquo; Oursin continues. &ldquo;As we do analytics, we don&rsquo;t just think of revenue. I want to understand it by geography, I want to understand it by sales, product, channel.<\/p>\n<p>&ldquo;We also do multi-variant analytics in the back end, which means we specifically search for combinations that drive revenue to bring you real insight.&rdquo;<\/p>\n<p>Watson can&rsquo;t tell you whether the data is right or wrong, Oursin adds &ndash; it&rsquo;s not psychic, after all &ndash; but it can tell you whether your data is good enough to help you make key business decisions.<\/p>\n<p>Another key aim of Watson Analytics is to take the hassle out of data science &ndash; cutting out the middle man. When asked how it will benefit sales and marketing professionals, Oursin replies: &ldquo;I would think this makes it easier in many ways.<\/p>\n<p>&ldquo;The first thing is, it&rsquo;s very easy to touch. Using Watson Analytics, you have no pre-knowledge that&rsquo;s required, you just need to understand your business, and you have to have your data. That&rsquo;s the only thing you need to bring to the table.<\/p>\n<p>&ldquo;The fact that it&rsquo;s cloud makes it very accessible,&rdquo; he adds. &ldquo;You don&rsquo;t have to think about us sending you software, us giving you an install guide&#8230;you just connect to it and off you [go].&rdquo;<\/p>\n<p>Above all, IBM sees a trend developing in terms of key stakeholders and decision makers in modern business. Gone are the days when the CEO or CIO would be solely responsible for making a decision. In some companies, the marketing manager will have lots of power; in others, not. Bringing new technology into the business used to sit with IT and IT only. It all makes for a more democratic line of business approach.<\/p>\n<p>&ldquo;10, 15 years ago, it was really IT driving a lot of these systems, and the power sat with IT in most of those decisions,&rdquo; Oursin says. &ldquo;But that has changed. Today the budget, the power, the decision making sits in the business, which means they want to make a decision, and they want to act on it right away.<\/p>\n<p>&ldquo;And that will make it much easier for us,&rdquo; he adds.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Yesterday IBM unveiled Watson Analytics, a freemium data science tool for businesses of all sizes utilising the power of Watson&rsquo;s supercomputer technology.<br \/>\nAs we reported, for a company which isn&rsquo;t averse to bigging itself up, Watson Analyt&#8230;<\/p>\n","protected":false},"author":50,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-11472","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/11472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/users\/50"}],"replies":[{"embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/comments?post=11472"}],"version-history":[{"count":0,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/11472\/revisions"}],"wp:attachment":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/media?parent=11472"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/categories?post=11472"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/tags?post=11472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}