Learn how Meralco, the largest utilities company in the Philippines, achieved 100% trusted and assured data that laid the foundation for on-going data governance as they consolidate their complex systems landscape which includes SAP and Maximo. For more than 20 years, BackOffice Associates has been a leader in Data Management and join us at this session where the VP & Head, Corporate Information & Technology from Meralco together with our Chief Strategy & Technology Officer will share best practices, key insights on how enterprises can maximise the benefit from key corporate asset – the Data.
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Improved data quality for massive organizational and business growth.
Significantly reduced data migration implementation time.
Maple Leaf Foods
Eliminated over $1 million in anticipated future infrastructure costs.
Improved real-time data replication to support 30,000+ user customer portal.
Enabled global reporting through rapid data updates across multiple environments.
Reduced report processing time from hours to minutes.
British American Tobacco
Assured pathway to SAP S/4HANA that reduced risk and delivered benefits earlier.
Achieved over 99% data migration load accuracy on-time and on-budget.
Buro de Credito
Replaced IBM data integration solution to mirror 1.5 million daily transactions.
Saved many weeks of labor and avoided potentially disastrous business disruptions.
Consolidated Excel data and other legacy sources to improve financial reporting.
Ensured SAP data was Business-ready at the point of entry.
Successfully converted data from an existing ERP platform to SAP on-time and on budget.
Unipart Rail UK Limited
Reduced the generation of finance reports from one week to 2-3 days.
Reduced complex SAP data changes from a few days to a few minutes.
Reduced data upload times to new SAP systems by almost 80%.
Substantially reduced data migration costs by implementing a standardized process.
Curated rapid, reliable and accurate data for business intelligence systems.
Achieved zero defects across 100% of live data migration loads to support M&A strategy.