HCLTech at SAP for Utilities 2023
We're excited to be part of SAP for Utilities in 2023 as a proud Gold Sponsor. As a global strategic services partner for SAP and the first GSSP to go live on RISE with SAP, we bring over 25 years of experience leading complex SAP transformation projects. Leveraging deep industry expertise across our digital consulting, products and technology portfolios, we develop industry solutions that help drive the utilities sector forward.
Join us at Booth #505 to see our latest demos and learn more about how we can help you supercharge progress in your own organization. Discover how we harness advanced accelerators, tools and industry-aligned frameworks to lead your transformation program end-to-end, drive innovation and help you embrace cloud.
Our Session
The Oklahoma City Water Utilities Trust (OCWUT) RISE with SAP Journey
For Utilities, the decision of when – or whether – to embrace cloud is especially complex. In this session OCWUT shares their journey, explaining how they were able to achieve cost assurance with RISE and demonstrate clear ROI to stakeholders; coordinate the migration while ensuring system compatibility; and maintain continuity of service, data security, and regulatory compliance during the transition.
Topics covered will include:
- RISE vs. Cloud: Important considerations
- Business process adaptation and change challenges
- Ensuring data accuracy and integrity during your migration
- Benefits of early adoption of SAP BTP services
- Costs, ROI, and long-term sustainability
Business System Manager
OCWUT
Superintendent Customer Services
OCWUT
VP – Energy and Utility Industries
Our Solutions that Transform Utilities
Our team of industry and product experts brings together a strong legacy of developing tools and innovations that have allowed our customers to get ahead of the technology curve and innovate faster.
This includes a portfolio of solutions that address the operational challenges and opportunities driven by increased demands for sustainable practices, the responsible use of limited energy resources and the exponential growth in data.
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