AI AND DATA ANALYTICS
66 a challenge ,” says Simon Cole , CEO at Automated Intelligence . “ 80 % of data a company holds is unstructured ; this data is challenging to examine , bring structure to and extract value from .”
There ’ s also the question of so-called “ legacy ” data hanging around organisations , which may differ in format and pose a risk of making data sets unreliable if not properly cleaned . Along similar lines , the multiple sources of data available to a modern company must be brought together if they are to be of any use . “ The biggest challenges come from data fragmentation ,” says Tido Carriero , Chief Product
“ As the number of customer touchpoints balloons , it becomes harder for businesses to ensure that they have a complete and reliable understanding of their customers ”
— Tido Carriero , Chief Product Development Officer , Segment
Development Officer at Segment . “ As the number of customer touchpoints balloons , it becomes harder for businesses to ensure that they have a complete and reliable understanding of their customers .”
Carriero emphasises that the biggest challenges all fall under this umbrella of improper coordination . “ Similarly , data silos can prevent teams from getting the data they need , and create blindspots which can result in security and privacy issues .
FEBRUARY 2021