{"id":2616,"date":"2012-01-09T07:00:36","date_gmt":"2012-01-09T15:00:36","guid":{"rendered":"http:\/\/www.formtek.com\/blog\/?p=2616"},"modified":"2012-01-09T07:00:36","modified_gmt":"2012-01-09T15:00:36","slug":"data-analytics-investment-in-better-data-low-hanging-fruit","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/data-analytics-investment-in-better-data-low-hanging-fruit\/","title":{"rendered":"Data Analytics: Investment in Better Data == &#039;Low-Hanging Fruit&#039;"},"content":{"rendered":"<p>\u201cThe cost of increasing effective data is relatively minor compared to the substantial returns doing so can bring.\u201d \u00a0That&#8217;s the result of a <a title=\"Impacts of Effective Data on Operational Efficiency\" href=\"http:\/\/www.sybase.com\/files\/Feature_Articles\/University_of_Texas_Report_Chapter3.pdf\" target=\"_blank\">study <\/a>sponsored by Sybase and conducted by the University of Texas at Austin and the Indian School of Business.<\/p>\n<p><a title=\"Rajiv Mukherjee\" href=\"http:\/\/www.linkedin.com\/pub\/rajiv-mukherjee\/a\/582\/6a5\" target=\"_blank\">Rajiv Mukherjee<\/a>, member of the research team at the Indian School of Business, said that\u00a0\u201cOur results suggest that investing in better data is still a relatively low-hanging fruit.&#8221;<\/p>\n<p><a title=\"Anitesh Barua bio\" href=\"http:\/\/misbridge.mccombs.utexas.edu\/profiles\/faculty\/barua_anitesh.asp\" target=\"_blank\">Anitesh Barua<\/a>, the William F. Wright Centennial Professor of Information Technology at the University of Texas at Austin (UTA), added that &#8220;the benefits of improving data to make it more effective can be staggering.&#8221;<\/p>\n<p>The report focused on the following ways in which data can be improved:<\/p>\n<ul>\n<li><strong>Quality<\/strong> &#8211; accuracy, scope, timeliness and recency<\/li>\n<li><strong>Usability<\/strong> &#8211; ease of use, concise presentation<\/li>\n<li><strong>Accessibility<\/strong><\/li>\n<li><strong>Mobility<\/strong> &#8211; access to data regardless of location<\/li>\n<li><strong>Intelligence<\/strong> &#8211; trends, recommnedations, profile matching<\/li>\n<\/ul>\n<p>It then went on to cite the following benefits resulting from improving the quality of data:<\/p>\n<p>Improvements to <strong>planning and forecasting<\/strong>. \u00a0Increasing the quality of data by 10 percent results in a median increase of 118 percent in more accurate predictions.<\/p>\n<p>Improvements to <strong>asset utilization<\/strong>. \u00a0For some industries, improving data effectiveness resulted in as high as a 28 percent increase in asset utilization. \u00a0Additionally, an increase in 10 percent of data mobility let to a 7 percent increase in asset utilization.<\/p>\n<p>Improvements to <strong>return on assets<\/strong>. \u00a0Increasing intelligence and accessibility by 10 percent resulted in a 42 percent increase in return on assets.<\/p>\n<p>Improvements in<strong> innovation, growth and operational excellence, <\/strong>and ultimately, higher <strong>revenues<\/strong>. \u00a0Increasing intelligence and accessibility of data by 10 percent enabled some industries to realize higher revenues from newer products. \u00a0In the study the new revenues ranged frmo $17 million to as much as $150 million annually.<\/p>\n<div class=\"lightsocial_container\"><div class=\"lightsocial_element\"><a class=\"lightsocial_a\" 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