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NoerisANALYTICS

Healthcare

Equipment Services Financial & Operational Analytics

Key outcomes

CFO-level deal risk visibility

Across regional service accounts

Parallel loading

Reduced dashboard load time

Executive adoption

Primary tool for account reviews

Overview

A global medical technology company's CFOs lacked consolidated visibility into their managed equipment service accounts. Financial, operational, and structural data lived in separate systems, making high-risk deals invisible until escalation.

The challenge

  • Financial, operational, and structural service data not consolidated
  • High-risk deals by region had no systematic identification method
  • Dashboard load times too slow for CFO-level use in executive meetings
  • Sequential data table loading causing performance bottlenecks

What we built

Delivered a Managed Equipment Services (MES) dashboard in Spotfire consolidating financial performance, operational metrics, and structural account data. Implemented Iron Python scripting to load 8 data tables in parallel (replacing sequential loading) and JavaScript accordion filters for improved usability. Enabled regional CFOs to identify deals with highest risk exposure at a glance.

Key outcomes

  • Parallel data loading reduced dashboard load time significantly
  • High-risk deals surfaced by region for CFO review
  • Unified financial and operational view across service accounts
  • Adopted as primary tool for executive account reviews

Tools

TIBCO Spotfire · Iron Python · JavaScript · Financial data modelling

This engagement was delivered by a Noeris principal consultant in a prior role. Client details have been anonymised.