Share


Survey points out opportunities and challenges for the deployment of analytics
 
Nearly two-thirds of companies with well-established advanced analytical modeling strategies reported margins and operating income of 15% or more, according to a recent EY report with Forbes Insights. The groundbreaking study Data & Advanced Analytics: High Stakes, High Rewards, was presented during CIAB 2017 by EY Ernst & Young.
 
In Brazil, research indicates that 78% of leading companies have revenue growth of 15% or more using analytics. In start-up companies, only 13% reports this performance. Comparing the increase in operating margin in the same percentage, only 25% of startups reach this mark against 78% of leading companies.
 
The use of analytical modeling is also advancing in other areas within companies, beyond technology and risk management departments. According to the survey, compared to 2015, the use of analytics has increased considerably in the areas of Human Resources (26%), Sales (24%) and Marketing (23%).
 
According to Rafael Dan Schur, partner in financial services at EY, companies need more than technology to implement analytics. “For 55% of Brazilian companies, the main challenges to develop or improve business strategy with the use of analytical modeling are the necessary changes in their organization and culture that lead executives to make decisions more on intuition than based on data”, he says.
 
At the same time, according to Schur, it's important to note that this situation is changing. “Half of these Brazilian companies indicated that organizations dedicated to some form of enterprise-level intelligence begin to have responsibility for establishing the general data strategy and analytical modeling of the entire company”, he analyzes.
 
Among the existing challenges in the adoption of advanced analytical intelligence practices in Brazil, are mainly those of training people responsible for decision-making in companies to use the insights generated by predictive models and to obtain high quality data to run the models.
 
“The creation of value for companies through analytical intelligence is not obtained only with the implementation of new technologies that allow the production of more and more information, but with the adoption of new operational models that make it possible to consume this information and make good decisions with it” , concludes Schur.
 

quick access

en_USEN