Home Digital Transformation Umm Al Houl Power bags SAP MENA Quality Award 2021 for “Fast Delivery”
Umm Al Houl Power bags SAP MENA Quality Award 2021 for “Fast Delivery”

Umm Al Houl Power bags SAP MENA Quality Award 2021 for “Fast Delivery”

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Umm Al Houl Power has increased efficiency in the management of its Business Processes and Resource Utilization, thanks to a digital transformation partnership with the global technology company SAP.

Khaled Al Siddiqi, Business Manager, who leads the Digital Transformation initiative at Umm Al Houl Power

In its digital transformation, Umm Al Houl Power has worked with the channel partner Kaar Technologies to deploy a wide range of real-time business solutions that are enabling a paperless office.

“Thanks to our digital transformation with SAP, we’ve seamlessly integrated data from our plant OT into SAP MII to provide real-time KPIs and Dashboards for effective Management oversight, data from the DCS and field operators and technicians is routed directly to the concerned engineers for real-time decision-making, this has led to new levels of employee productivity. Through the Digital Planning Board engineers can assign the right resources at the right price and right time. With continuous collaboration with SAP and our policy to leverage innovative technologies, I am confident Umm Al Houl Power can keep our operations running at maximum efficiency into the future,” said Khaled Al Siddiqi, Business Manager, who leads the Digital Transformation initiative at Umm Al Houl Power

Now, Umm Al Houl Power has granular data on one real-time platform, delivering unprecedented analytics, efficiency, and productivity. The company has less asset downtime and spends less time and effort on routine administrative tasks with more time used for strategic planning. UHP is currently implementing SAP Ariba, digitally enabling the complete procure to pay cycle, which is expected to further optimize Capex.

In the future, Umm Al Houl plans to use real-time solutions like field-based equipment integrated with mobile devices, artificial intelligence, for predictive maintenance of its assets, which could further optimize costs and efficiency.

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