{"id":7159,"date":"2017-02-23T07:00:33","date_gmt":"2017-02-23T15:00:33","guid":{"rendered":"http:\/\/formtek.com\/blog\/?p=7159"},"modified":"2017-01-19T08:37:15","modified_gmt":"2017-01-19T16:37:15","slug":"shadow-analytics-quicker-results-but-often-at-the-of-cost-creating-non-secure-siloed-data","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/shadow-analytics-quicker-results-but-often-at-the-of-cost-creating-non-secure-siloed-data\/","title":{"rendered":"Shadow Analytics: Quicker Results, but Often at the of Cost Creating Non-Secure Siloed Data"},"content":{"rendered":"<p>Shadow IT refers to the use of apps and external IT services without consulting internal IT resources. \u00a0It&#8217;s an end-run approach that many departments are increasingly using when they feel that traditional IT &#8220;help&#8221; just gets in their way. \u00a0Increasingly, departments are using <a href=\"http:\/\/jtonedm.com\/2015\/10\/27\/from-analytics-to-data-and-back-again-enabling-business-strategy-in-the-c-suite\/\">Shadow Analytics<\/a> and <a href=\"http:\/\/www.information-age.com\/pros-and-cons-shadow-business-intelligence-123459846\/\">Shadow Business Intelligence<\/a>.<\/p>\n<p>It was found that more than <a href=\"http:\/\/timoelliott.com\/blog\/2014\/09\/5-top-tips-for-agile-analytics-organizations.html\">40 percent of organizations<\/a> are bypassing their local IT group and using Shadow Analytics. \u00a0Another report found that <a href=\"http:\/\/www.cio.com\/article\/3075423\/it-strategy\/it-wants-but-struggles-to-operationalize-big-data.html\">59 percent of the respondents<\/a> said that the use of Shadow Analytics often leads to data governance problems.<\/p>\n<p><a href=\"https:\/\/www.tableau.com\/about\/blog\/contributors\/francois-ajenstat\">Francois Ajenstat<\/a>, chief product officer at Tableau, <a href=\"http:\/\/www.informationweek.com\/big-data\/3-ways-shadow-analytics-may-be-working-against-you\/a\/d-id\/1327893\">said that<\/a> &#8220;the people who want to use data will use any piece of software to get what they need. It starts with a frustrated individual who knows that analytics can help her do a better job.&#8221;<\/p>\n<p><a href=\"https:\/\/www.bluemetal.com\/Team\/Familiar-Bob\">Bob Familiar<\/a>, practice director at BlueMetal, <a href=\"http:\/\/www.informationweek.com\/big-data\/3-ways-shadow-analytics-may-be-working-against-you\/a\/d-id\/1327893\">said that<\/a> &#8220;what&#8217;s driving shadow analytics is the desire for data in real time and near real time &#8212; marketing, lines of business, product owners, and manufacturing environments. It can show up almost anywhere if IT has not provided those capabilities, an X-as-a-service, on-demand, self-service experience.&#8221;<\/p>\n<p>One major problem is that the use of Shadow Analytics often requires data to be moved to\u00a0non-secure public repositories. But another\u00a0problem is that when data usage isn&#8217;t centralized, it isn&#8217;t possible to see the complete picture. \u00a0<a href=\"http:\/\/www.prnewswire.com\/news-releases\/attivio-names-stephen-baker-chief-operating-officer-254527121.html\">Stephen Baker<\/a>, CEO of Attivio,<a href=\"http:\/\/www.cio.com\/article\/3075423\/it-strategy\/it-wants-but-struggles-to-operationalize-big-data.html\"> said that<\/a> &#8220;enterprises are competing on an incomplete view of their data; they cannot adequately see or unify data across their silos. 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