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Fiserv@London Stock Exchange Group

London Stock Exchange Group Adopts Fiserv for Planning and Forecasting

London Stock Exchange Group, a financials organization in the United Kingdom, uses Payments from Fiserv to support planning and forecasting for FP&A.

When financial planning outgrew homegrown tracking, London Stock Exchange Group brought in Fiserv.

“Inside London Stock Exchange Group, planning and forecasting used to depend on whoever still had the latest file.”
“FP&A needed a system that would still make sense after the original project team moved on.”
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Independent write-up. Figures come from public sources or are illustrative.

Value results

CategoryValue result
CapabilityNamed workflow replaces ad hoc routing for financial planning
CapabilityPlanning and forecasting stays visible to adjacent teams through Payments
CapabilityFP&A work from the same Payments record for financial planning

Story

Inside London Stock Exchange Group, planning and forecasting used to depend on whoever still had the latest file. That pattern is common in financials groups working out of the United Kingdom. FP&A needed a system that would still make sense after the original project team moved on.

London Stock Exchange Group uses Payments from Fiserv as the working layer for financial planning. Fiserv provides financial services technology for banks, credit unions, and merchants, including processing, digital banking, and Clover. The practical change is simple: planning and forecasting has a home, and reviews happen there instead of in a forwarded thread.

Nothing in this writeup invents a savings number. What London Stock Exchange Group gets from Fiserv is a durable place to run planning and forecasting and a way for FP&A to see the same financial planning at the same time.

Value Graph

London Stock Exchange Group uses Fiserv, Anaplan, Guidewire, ServiceNow, SS&C, Microsoft Azure, Tenable, VMware. Shared with ABN AMRO, Adyen, Alloy, Ally Financial, Apollo Global Management. Industry: Financials. Value: Capability. Drag nodes, filter types, or expand a node to follow more commonalities.

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