DATA & ANALYTICS
of the workforce for which analytics is an accepted part of their role .
“ Put simply – data and the insights it contains are far too valuable to be kept locked away in the ‘ ivory towers ’ of data scientists , the c-suite , and the few rarified environments where it is already put to use .”
As Itamar Ben Hemo , the CEO and Co-Founder of DataOps platform Rivery , explains , many businesses are bringing in data experts to leverage data initiatives due to their ability to interpret high volumes of data and turn it into actionable insights . However , relying solely on data experts can be a crucial error for businesses .
“ Rather than relying solely on hiring qualified data experts , business leaders should aim to train their existing workers with data skills : this can help to keep costs and overheads down ,” he explains . “ Data literacy courses are already becoming common in many companies ; large organisations such as Bloomberg and Adobe are going further , with in-house digital academies dedicated to training workers in how to use data .”
“ Training analysts to use low-code or no-code tools for data management costs far less than hiring a data scientist ,” Ben Hemo asserts . “ By removing bottlenecks in daily data operations , teams that need analytic dashboards to make decisions for campaigns don ’ t have to wait and can focus more on revenue-generating activities .
“ Training existing employees is particularly powerful because they combine newly-acquired data skills with their existing domain expertise to extract maximum value from the data ,” he concludes . “ These ‘ data citizens ’ will be able to extract value from data without waiting for a separate team of data experts or scientists to do it for them .” technologymagazine . com 87