In today’s digital world it has become critical to incorporate secure, personalised, and fully integrated self-service capabilities into every digital interaction. It’s no use updating an old, limited system with technology that can’t grow into the future as user needs develop and change. Internally or externally that won’t cut in it a digital playground where agility is key.

Headquartered in Seoul, South Korea, with subsidiaries in about 40 countries, Mobis manages the supply chain for automobile industry heavyweights Hyundai Motor Company and Kia Motors. The company created a parts production system designed to ensure quality and savings throughout the supply chain helping its clients stand out in the competitive automobile industry.

Mobis Parts Australia Pty Ltd (MPAU) is the automotive supplier’s Australian subsidiary.

As part of business integration between MPAU and Kia Motors Australia in 2013, the company began exploring business intelligence (BI) and analytics technology that would integrate with the BI tools Kia was using. And MPAU also wanted to replace its outdated internal reporting system, based on Microsoft Excel spreadsheets, which wasn’t scalable enough and had visually unimpressive reporting.

The MPAU team soon realised Kia’s existing BI system didn’t meet all its functionality requirements and set out to find a better, more scalable analytics solution with broader functionality that would support its ultimate goal: to operate more efficiently, boosting its competitive advantage in the market.

“The automotive industry has ongoing competitive challenges, with other brands coming up with new products, sales strategies and pricing methodologies,” MPAU IT manager, Subodh Patil, said. “As a result, we have to ensure we have adequate systems and technologies in place and are always looking at how we can make our product better.”

This meant MPAU needed to make its operations more agile, reacting faster to changing demands or competitors’ offerings. To achieve that, the company needed a new business intelligence (BI) system which would support real-time inventory and dealer network reporting, monitor sales performance and pricing offers from vendors, and offer analytical capabilities to predict future sales and inventory requirements.

“We were looking for dashboards and reporting and analytical capabilities in a presentable, user-friendly format. This was our criteria when we began our search for the right technology,” Patil said.

Ease of use was also a key factor to ensure end users would take to the system naturally and the solution would integrate seamlessly and intuitively into the daily operations of up to 160 users and dealers.

After testing several systems, MPAU chose OpenText Analytics Suite. “From all angles, OpenText Analytics Suite stood out,” Patil said. “In terms of cost, features and the business operations, it was all available.”

OpenText could integrate with data sources throughout the MPAU operations and dealer network with dashboards that offered each department, from inventory and warehousing through to sales and logistics, a snapshot into their daily activities. The analytics capabilities gave the company the ability to not only view historical sales and inventory but to forecast future needs as well.

Mobis facility

However, choosing the right solution was just the first step. MPAU needed to implement OpenText Analytics in only four-and-a-half months. Remarkably, Patil and his team met the go-live deadline.

Today, MPAU’s goal of having BI integrated seamlessly into the day-to-day workflow of Kia Australia and its own internal users has come to fruition, and the competitive advantage it wanted is evident in the new practices in place. OpenText accesses data from throughout Mobis’ operations, as well as dealer databases for a customer perspective, connecting every part of the business.

At the warehouse level, Analytics Suite is linked directly to MPAU’s scanning and manifest system, tracking parts coming in and out of the warehouse so users can see, on a daily basis, the status of current stock and back orders, and do business analysis for better visibility into operations.

“Users can go further than the daily reports formerly allowed. Now, they can go into the analyser and do their analysis for better decision-making, and once the information is extracted they can easily download it to Excel or PDF or create charts,” Patil said.

Analysts also have a clear view on how long each task takes employees, allowing them to create realistic time management measures and goals. For the sales team, detailed pricing information is accessible in just 10 minutes.

The next step for Patil and his team is to integrate the OpenText platform even further into warehouse operations and continue to analyse available data for a clearer view of the competitive market.

“Big data, and how the system will handle it and how we will continuously improve it, those will be our next challenges,” he said.

About the author

Mike Gee is a writer of the Which-50 Digital Intelligence Unit of which Tableau is a corporate member. Members provide their insights and expertise for the benefits of our readers. Membership fees apply.

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