HK’s Chun Wo Deploys SAP Analytics Cloud Solution

HK’s Chun Wo Deploys SAP Analytics Cloud Solution

The SAP Analytics Cloud solution has received several recognitions after its pivotal development in 2018 when the solution expanded its embedded capabilities to SAP S/4HANA, SAP SuccessFactors, SAP Ariba, and SAP Customer Experience. It was named a strong performer in The Forrester New Wave: Natural Language Generation for Analytics, Q4 2018 and was recognised for the 7th time by Gartner as a leader in the January 2019 Magic Quadrant for Data Management Solutions for Analytics.

Chun Wo Development Holdings Limited, one of Hong Kong’s unique and leading construction enterprises, has chosen SAP Analytics Cloud solution to enhance its enterprise resource planning (ERP) capabilities. As the core member of Asia Allied Infrastructure Holdings Limited, the company deploys the SAP solution to fast-track the widespread digital transformation. 

Operating in Hongkong since 1968, Chun Wo has accumulated extensive experience and a strong position in the construction sector enabling it to expand businesses to countries along the “Belt & Road” route in Southeast Asia and the Great Bay Area in China. Specialising in “mega-size integrated construction projects” across Hong Kong and Southeast Asia, the construction firms’ recent notable large infrastructure projects are the Central-Wan Chai Bypass, Heung Yuen Wai Boundary Infrastructure, Hong Kong-Zhuhai-Macao Bridge Passenger Clearance Building, Guangzhou-Shenzhen-Hong Kong Express Rail Link (Hong Kong Section), and the MTR Shatin to Central Link.

Stephen Lee Ka Lun, CEO of Chun Wo, shared that for over 50 years, Chun Wo has laid a solid business foundation, constantly committed to discovering breakthroughs and innovation that help the company develop and remain competitive. He said:

“We are delighted to work with SAP to now transform our business intelligence and ERP capabilities with SAP cloud technology and advanced artificial intelligence (AI).” 

“By making it easier for our teams to rapidly make confident data-backed decisions, Chun Wo is once again helping to lead the construction industry into a new era,” the CEO exclaimed.

Integration with Chun Wo’s Legacy Tools

Aside from generating “high-value business insights from its legacy tools”, Chun Wo will be able to utilise SAP Analytics Cloud solution’s capabilities to upgrade data management and financial reporting and business intelligence (BI).

Chun Wo’s legacy tools, once integrated into the SAP Analytics Cloud, will be able to provide an overview of operational realities. Consequently, giving the management team better visibility in terms of monitoring, analyzing, and predicting project data. 

Fabian Padilla Crisol, Managing Director of Hong Kong at SAP, said:

“With SAP Analytics Cloud, Chun Wo continues its digital transformation in generating more value from its existing business intelligence and planning workflows.” 

“Chun Wo users are now empowered to extract insights from corporate data with intelligent technologies. This extends and expands Chun Wo’s digital investments and puts the company in a position to reach well-informed, non-biased business decisions faster in a complete, contextual, and confident approach,” he added.

Through SAP Analytics Cloud solution’s machine learning technology and embedded AI, organisations can spot deep insights, simplify access to critical information, and empower informed decision making for all. SAP Analytics Cloud is a true cloud solution that is convenient, modular, secure, and scales to meet the needs of businesses of any size.

Since 2017, Chun Wo has been utilising SAP ERP to help manage complex projects as well as other technologies backed by “stand-alone reporting spreadsheets and planning tools”.

Chun Wo’s thrust in innovation and technology is also exemplified in Inno@ChunWo, which the construction firm established in 2016 to develop innovative technologies for construction. Earlier this year, Inno@ChunWo has successfully utilised AI technology to improve construction safety.

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