Largest Insurance Company

Case for - Real Time BPO Metrics

    Context
  • This company operates in over 8 countries in Europe, USA, and Australia and New Zealand and India.
  • Their Products include Health, Motor, Life, Home and multiple other structured insurances.
  • Their entire back office to service these insurances right from booking to claims settlement is done in India.
  • To improve the back office operations, all businesses and operational leaders were looking at more precise metrics and analysis.
  • They were looking at higher operational efficiency, lower costs, better effort spreads, better skill mixes, predictable resource requirements.
  • The back office was collecting basic data in multiple formats, applications and databases. Most of it was in xl files and a home grown application.
    Need
  • Very complex operational metrics needed to be delivered to Managers at various levels.
  • The total number of processes fulfilled by the BPO Center in India was over 75.
  • All processes dealt with multiple contexts, multiple sets of metrics, multiple hierarchies and multiple score carding and reporting needs.
  • The data collection formats across these 75+ processes were complex, different and difficult to manage.
  • There was no cross process view of operational metrics and executive managers were finding it difficult to measure across contexts.
  • Building metrics across the processes involved complex contexts, complex data collection, complex structuring.
    The Problem
  • Each process (over75) had different contexts and unique demands for metrics.
  • Each process had a unique way of collecting data for the process.
  • There was no single way to view a process and further across the organization.
  • Each process had a different analytic to calculate the same metric.
  • Each process had multiple unique scorecards.
  • It was very difficult, required high effort to deliver the metrics in static xl sheets.
  • Historical context was very important for each process as improvements needed to be measured.
    MetrixLine Approach and Solution
  • MetrixLine looked at all the data across the processes and defined standard templates of data capture.
  • MetrixLine defined a the metrics frameworks across the processes incorporating multiple contexts, unique metrics, analytics.
  • MetrixLine automated data uploads at multiple points within the organization across all processes and business units.
  • Metrics were automatically calculated and delivered across the organizations to respective managers through scorecards.
  • Metrics and scorecards access was achieved through a complex structure of authorizations which were configured for them.
    Overall Value
  • MetrixLine provided a centralized solution which cut across the entire organization.
  • The multiple contexts of each back office process were captured and centrally executed with ease.
  • Multiple metrics and scorecards were configured across processes and contexts.
  • Complex data gathering was solved and data was centrally collected.
  • Metrics across the organization were centrally stored and monitored.
  • Metrics now could be analyzed with historical context giving a lot more insight to managers.
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