{"id":645944,"date":"2013-03-08T13:27:21","date_gmt":"2013-03-08T18:27:21","guid":{"rendered":"http:\/\/gigaom.com\/?p=618509"},"modified":"2013-03-08T13:27:21","modified_gmt":"2013-03-08T18:27:21","slug":"for-big-data-analytics-recall-the-tried-and-true-old-school-rules","status":"publish","type":"post","link":"https:\/\/mereja.media\/index\/645944","title":{"rendered":"For big data analytics, recall the tried and true old-school rules"},"content":{"rendered":"<p>Data analysis didn\u2019t start with <a href=\"http:\/\/gigaom.com\/2013\/03\/08\/hadoop-through-the-years-a-gigaom-retrospective\">Hadoop<\/a>. Companies have been working with data to get insights for decades. While technology has changed, some of the rules from the past still apply, or ought to, as data gets bigger and bigger.<\/p>\n<p>Jack Rivkin, an occasional blogger with deep investment experience, recently <a href=\"http:\/\/blog.contracarbon.com\/2013\/02\/18\/what-is-the-big-deal-about-big-data\/\">shared some of the best practices <\/a>he was exposed to early in his career working on economic forecasts. He shared some sage\u00a0suggestions for enterprises to bear in mind as they consider and implement big data strategies. Among his insights:<\/p>\n<ul>\n<li>Forecasting models can only be as good as the data inputs.<\/li>\n<li>Be skeptical and hedge when sharing the models by noting factors that could lead to different results.<\/li>\n<li>The less time it takes to process data, the more valuable it is.<\/li>\n<li>Constantly improve models and inputs.<\/li>\n<\/ul>\n<p>Of course, big data isn\u2019t wholly evolutionary \u2014 it does bring its own all-new opporunities and risks. Some of the world\u2019s leading data scientists, IT executives and business users will address them at <a href=\"http:\/\/event.gigaom.com\/structuredata\/?utm_source=data&#38;utm_medium=editorial&#038;%2338;utm_campaign=intext&#038;%2338;utm_term=618509+for-big-data-analytics-recall-the-tried-and-true-old-school-rules&#038;%2338;utm_content=gigajordan\">GigaOM\u2019s Structure:Data conference<\/a> in New York on March 20-21.<\/p>\n<p><em>Feature image courtesy of <a href=\"http:\/\/www.flickr.com\/photos\/75279887@N05\/6914441342\/\">Flickr user luckey_sun<\/a>.<\/em><\/p>\n<p> <img loading=\"lazy\" decoding=\"async\" alt=\"\" border=\"0\" src=\"http:\/\/stats.wordpress.com\/b.gif?host=gigaom.com&#038;blog=14960843&#038;%23038;post=618509&#038;%23038;subd=gigaom2&#038;%23038;ref=&#038;%23038;feed=1\" width=\"1\" height=\"1\" \/><\/p>\n<p><a href=\"http:\/\/pubads.g.doubleclick.net\/gampad\/jump?iu=\/1008864\/GigaOM_RSS_300x250&#038;sz=300x250&#038;%23038;c=99728\"><img decoding=\"async\" src=\"http:\/\/pubads.g.doubleclick.net\/gampad\/ad?iu=\/1008864\/GigaOM_RSS_300x250&#038;sz=300x250&#038;%23038;c=99728\" \/><\/a><\/p>\n<p><strong>Related research and analysis from GigaOM Pro:<\/strong><br \/>Subscriber content. <a href=\"http:\/\/pro.gigaom.com\/?utm_source=data&#038;utm_medium=editorial&#038;utm_campaign=auto3&#038;utm_term=618509+for-big-data-analytics-recall-the-tried-and-true-old-school-rules&#038;utm_content=gigajordan\">Sign up for a free trial<\/a>.<\/p>\n<ul>\n<li><a href=\"http:\/\/pro.gigaom.com\/2011\/12\/whats-driving-the-next-phase-of-the-e-commerce-evolution\/?utm_source=data&#038;utm_medium=editorial&#038;utm_campaign=auto3&#038;utm_term=618509+for-big-data-analytics-recall-the-tried-and-true-old-school-rules&#038;utm_content=gigajordan\">What&#8217;s driving the next phase of the e-commerce evolution<\/a><\/li>\n<li><a href=\"http:\/\/pro.gigaom.com\/2013\/01\/ces-2013-flash-analysis-disruptions-and-disappointments-from-consumer-techs-biggest-show\/?utm_source=data&#038;utm_medium=editorial&#038;utm_campaign=auto3&#038;utm_term=618509+for-big-data-analytics-recall-the-tried-and-true-old-school-rules&#038;utm_content=gigajordan\">GigaOM Research highs and lows from CES 2013<\/a><\/li>\n<li><a href=\"http:\/\/pro.gigaom.com\/2013\/01\/how-hr-can-make-the-case-for-workforce-analytics\/?utm_source=data&#038;utm_medium=editorial&#038;utm_campaign=auto3&#038;utm_term=618509+for-big-data-analytics-recall-the-tried-and-true-old-school-rules&#038;utm_content=gigajordan\">How HR can make the case for workforce analytics<\/a><\/li>\n<\/ul>\n<p><img width='1' height='1' src='http:\/\/gigaom.feedsportal.com\/c\/34996\/f\/646446\/s\/295c4156\/mf.gif' border='0'\/><\/p>\n<div class='mf-viral'>\n<table border='0'>\n<tr>\n<td valign='middle'><a href=\"http:\/\/share.feedsportal.com\/viral\/sendEmail.cfm?lang=en&#038;title=For+big+data+analytics%2C+recall+the+tried+and+true+old-school+rules&#038;link=http%3A%2F%2Fgigaom.com%2F2013%2F03%2F08%2Ffor-big-data-analytics-recall-the-tried-and-true-old-school-rules%2F\" ><img decoding=\"async\" src=\"http:\/\/res3.feedsportal.com\/images\/emailthis2.gif\" border=\"0\" \/><\/a><\/td>\n<td valign='middle'><a href=\"http:\/\/res.feedsportal.com\/viral\/bookmark.cfm?title=For+big+data+analytics%2C+recall+the+tried+and+true+old-school+rules&#038;link=http%3A%2F%2Fgigaom.com%2F2013%2F03%2F08%2Ffor-big-data-analytics-recall-the-tried-and-true-old-school-rules%2F\" ><img decoding=\"async\" src=\"http:\/\/res3.feedsportal.com\/images\/bookmark.gif\" border=\"0\" \/><\/a><\/td>\n<\/tr>\n<\/table>\n<\/div>\n<p><a href=\"http:\/\/da.feedsportal.com\/r\/159490272540\/u\/49\/f\/646446\/c\/34996\/s\/295c4156\/a2.htm\"><img decoding=\"async\" src=\"http:\/\/da.feedsportal.com\/r\/159490272540\/u\/49\/f\/646446\/c\/34996\/s\/295c4156\/a2.img\" border=\"0\"\/><\/a><img loading=\"lazy\" decoding=\"async\" width=\"1\" height=\"1\" src=\"http:\/\/pi.feedsportal.com\/r\/159490272540\/u\/49\/f\/646446\/c\/34996\/s\/295c4156\/a2t.img\" border=\"0\"\/><\/p>\n<div class=\"feedflare\">\n<a href=\"http:\/\/feeds.feedburner.com\/~ff\/OmMalik?a=YB2RQkB3vRg:C0BEGmeOums:yIl2AUoC8zA\"><img decoding=\"async\" src=\"http:\/\/feeds.feedburner.com\/~ff\/OmMalik?d=yIl2AUoC8zA\" border=\"0\"><\/img><\/a>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/feeds.feedburner.com\/~r\/OmMalik\/~4\/YB2RQkB3vRg\" height=\"1\" width=\"1\"\/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data analysis didn\u2019t start with Hadoop. Companies have been working with data to get insights for decades. While technology has changed, some of the rules from the past still apply, or ought to, as data gets bigger and bigger. Jack Rivkin, an occasional blogger with deep investment experience, recently shared some of the best practices [&hellip;]<\/p>\n","protected":false},"author":7463,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-645944","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/mereja.media\/index\/wp-json\/wp\/v2\/posts\/645944","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mereja.media\/index\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mereja.media\/index\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mereja.media\/index\/wp-json\/wp\/v2\/users\/7463"}],"replies":[{"embeddable":true,"href":"https:\/\/mereja.media\/index\/wp-json\/wp\/v2\/comments?post=645944"}],"version-history":[{"count":0,"href":"https:\/\/mereja.media\/index\/wp-json\/wp\/v2\/posts\/645944\/revisions"}],"wp:attachment":[{"href":"https:\/\/mereja.media\/index\/wp-json\/wp\/v2\/media?parent=645944"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mereja.media\/index\/wp-json\/wp\/v2\/categories?post=645944"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mereja.media\/index\/wp-json\/wp\/v2\/tags?post=645944"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}