Breaking down barriers to data-driven decision-making
Hyundai Elevator Co. Ltd. is a market leader in elevators, escalators, and moving walkways. The company is at the forefront of innovation, having developed the world’s fastest elevator in 2020. It also offers a wide variety of services spanning the installation and maintenance of its products. To continue innovating as a leader in elevators, the company realised it needed to simplify its data landscape.
The data landscape at Hyundai Elevator was deeply complex, with data siloed in different regions and scattered across flat files, external databases, and a mix of SAP and third-party systems. Most of the company’s different departments and regions relied on their own installations of the SAP ERP application and the SAP Supplier Relationship Management application.
Without a single source of truth, Hyundai Elevator struggled with unreliable data. Employees didn’t know if the data they relied on for important decision-making was correct or up to date.
“We had a lot of discrepancies,” Jeansu Byun, IT innovation manager at Hyundai Elevator Co. Ltd., says. “In some cases, only the subsystem had the up-to-date data without it being updated in the ERP.”
As a work-around, employees asked other departments to send data as Microsoft Excel attachments through e-mail. Once the data was sent – sometimes from multiple departments – employees had to manually merge and process data before beginning analysis.
The laborious request process further cemented departmental data silos. It created error-prone duplicates and delayed new analytics projects. Management also had to contend with data trapped in Microsoft PowerPoint and Excel documents.
With critical data locked away, it was impossible to get a real-time data overview, which made decision-making difficult for teams across Hyundai Elevator.