Banco Popular announced Tuesday it is partnering with Diebold Nixdorf to pilot advanced predictive maintenance analytics to increase operational efficiency and broaden consumer touchpoint visibility.
Diebold Nixdorf’s analytics program is enabling Banco Popular to have a complete view of its self-service channel and improve automated teller machine (ATM) uptime by anticipating maintenance needs, the company said.
“Banco Popular realizes the importance of financial institutions making data-driven decisions,” said Rachid Molinary, senior vice president of the Digital Strategy Division in Popular.
“With Diebold Nixdorf’s expertise in advanced analytics, we are collaboratively working to enhance our operations and migrate transactions from the teller lines to the self-service channel,” he said.
Near real-time collection of data from the self-service channel differentiates this pilot from other advanced analytics solutions and enables Banco Popular to better understand the health of its self-service channel and predict the maintenance needs of individual devices, the companies explained.
By aggregating data from the self-service device and the financial institutions other channels, the advanced analytics program will enable Banco Popular to create a 360 degree view of its user experience across all channels to analyze the effectiveness of marketing and branch transformation initiatives in the future, it was further explained.
“Every day our teams evaluate new technologies and collaborate with innovative customers to provide best-in-class consumer experiences and drive connected commerce,” said Richard Harris, Diebold Nixdorf vice president, design and new technology incubation.
“Banco Popular continues to be an important innovation partner for us. Their use of our advanced analytics capabilities is just one proof point that demonstrates how we can solve real business needs for our customers through collaborative innovation,” Harris said.