{"id":4270089,"date":"2016-10-04T06:06:17","date_gmt":"2016-10-04T04:06:17","guid":{"rendered":"https:\/\/www.deptagency.com\/insight\/implications-poor-incomplete-data-collection\/"},"modified":"2025-12-08T13:44:45","modified_gmt":"2025-12-08T11:44:45","slug":"implications-poor-incomplete-data-collection","status":"publish","type":"article","link":"https:\/\/www.deptagency.com\/en-au\/insight\/implications-poor-incomplete-data-collection\/","title":{"rendered":"What are the implications of poor and incomplete data collection?"},"content":{"rendered":"
\n\t\n\t<\/svg>\n\t\t\t\n\t\t\tBack to all articles\t\t<\/span>\n\t\n<\/button>\n\t\tWhat are the implications of poor and incomplete data collection?\t<\/h1>\n\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t<\/picture>\n\t\n\t<\/div>
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\n\t\tFeliks Malts\t\t
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\n\t\tData quality is becoming increasingly important and should be a top initiative at every company. Poor and incomplete data collection can lead to a loss of revenue, wasted media dollars, and inaccurate decision-making. A lack of quality data causes the inability to assess performance, sales, and the converting customer accurately. An excellent way to think about it is garbage in, and garbage out; poor data input leads to poor decision-making and has a direct impact on performance.\t<\/p><\/div><\/div>\n\t\t\t<\/div>\n\t\t\t<\/div>\n\n\t\n\t