Automated Data Analytics Eliminates Hurdles
“Minimizing long working hours is our top priority,” says Hiroko Kunimatsu, head of the IT engineering division of the platform solution business department at SCSK. “We needed a tool that extracts every employee’s telework duration from massive amounts of VPN access logs, then cross-references it with the data self-reported by the employee in the attendance management system and presents any discrepancies in an intuitive way.”
The Splunk platform stood out among the many options because it automatically extracts the essential information from the massive amount of datasets coming in diverse forms, including those from heterogeneous in-house applications. It then analyzes the data and quickly displays results in a convenient way. SCSK was also impressed by how easy Splunk was to implement — the platform was up and running in only two to three months.
In the past, SCSK had to link the attendance system with employee ID cards to check clock-in and clock-out times, and there were concerns about inaccuracies caused by discrepancies between VPN access log data and employee-entered attendance information. “Splunk removes the hurdles in managing remote workers’ attendance and significantly streamlines our remote access operations,” Kunimatsu says. With the Splunk platform, everything becomes automated and SCSK is able to use data to support work style reform.