{"id":13992,"date":"2019-11-12T11:51:01","date_gmt":"2019-11-12T11:51:01","guid":{"rendered":"http:\/\/bulletins.bfconsulting.com\/?p=13992"},"modified":"2019-11-12T11:51:01","modified_gmt":"2019-11-12T11:51:01","slug":"why-data-analytics-goes-beyond-just-more-data","status":"publish","type":"post","link":"https:\/\/bulletins.bfconsulting.com\/en\/why-data-analytics-goes-beyond-just-more-data\/","title":{"rendered":"Why data analytics goes beyond just more data"},"content":{"rendered":"

It has become obvious to most business that data is a necessary part of doing business; however, businesses must go beyond simply collecting data for it to be useful. Here are the top 10 reasons why analytics-driven digital transformation requires businesses to go beyond just generating more data:<\/span><\/p>\n

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  1. Data empowers more informed decision-making but not necessarily better decision-making. <\/span><\/li>\n
  2. Access to more data is useless when the right questions of it are not asked. <\/span><\/li>\n
  3. Leadership is the ultimate driver of success with data.<\/span><\/li>\n
  4. Business intelligence platforms make better decision-making possible, not guaranteed. <\/span><\/li>\n
  5. Data is ineffective without an integrated data strategy and sound data governance. <\/span><\/li>\n
  6. The value of data is in quality, not quantity. <\/span><\/li>\n
  7. Data must be trustworthy to be of use.<\/span><\/li>\n
  8. Data must be timely to be valuable.<\/span><\/li>\n
  9. Data stored in the wrong place or in the wrong way is useless.<\/span><\/li>\n
  10. Value from data cannot be derived if its existence is unknown.<\/span><\/li>\n<\/ol>\n
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