Riyadh Cables needed a futuristic and scalable platform to support business growth
For a company working in the cable industry, it is imperative to respond quickly to changing market demands and ensure business continuity. As Riyadh Cables embarked on its SAP S/4HANA-led business transformation journey, it realized the need for experienced advisory services and program governance. The company wanted an agile and industry-benchmark business solution that guaranteed the adoption of SAP platform with minimum customization to facilitate process standardization, simplification and automation. This was needed to address the challenge of fragmented business processes, including metal hedging, cable design system, and lack of insights in business KPIs.
TCS catalyzes SAP S/4HANA adoption at Riyadh Cables with end-to-end program governance
Recognizing that success of large-scale programs is paramount, Riyadh Cables engaged TCS as a digital transformation adviser to ensure faster and seamless implementation of SAP S/4HANA with program governance and ERP advisory. TCS deployed key strategies, such as iterative solution design, organizational change management (OCM), data migration, and third-party application integration for success of the program. Integration of metal hedging process with logistics and SAP S/4HANA with cable industry-centric application Advaris, enabled seamless business operations and visibility.
. TCS supported the client with its on-demand expertise, solution architects for gate reviews, and filled the workforce competency gaps with collaborative deployment model and training. Throughout the engagement, TCS managed risks, stakeholders, and suppliers. The three-way interactive approach adopted by TCS offered Riyadh Cables real-time clarity on solutions and reduced implementation time and cost drastically. TCS’ quality assurance service enabled the client to embrace risk during the various phases of its digital transformation journey.
TCS SAP S/4HANA transformation advisory service helped Riyadh Cables gain optimal value constraining the risks