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National Penn Bank learns the difference between ‘analysis’ and ‘reliable analysis’.

When consistent company growth created the need to predict staffing requirements, National Penn turned to an external, industry standard equation. After 3 years they realised the inadequacies of standard solutions, and called in Insight Analytics for an in-depth analysis and sloution for their specific situation.

Client Situation
As a result of steady branch expansion and a tangible increase in customer transactions from an acquisition-oriented growth strategy, the Bank Operations unit of National Penn Bank found itself under growing operational stress due to limited staff resources. An externally developed staffing model was being used to calculate optimum staff resources required to perform a given, steady-state workload. However, the output from this tool lacked analytical depth and found little acceptance with the Bank's executive management team. Unit management feared that if additional resources were not added in the near to mid-term in certain critical areas of the operation, current levels of internal customer service and operational efficiency would see significant deterioration.

Client Requirements
National Penn required assistance with the following:

  • understanding current processes within the various Operations departments - both what was done and how it was done
  • calculating current and sustainable working capacities for each sub-department
  • validating existing activity standards or constructing entirely new standards as appropriate
  • concretely testing the hypothesis that additional full-time resources were needed to adequately complete the current departmental workload
  • forecasting resource requirements into the near and mid-term

Insight's Solution
We deployed our Resource Planning Model (RPM) at National Penn's Bank Operations unit. A workforce capacity model was designed, constructed, and populated with data from studied Bank Operations departments. Model inputs included all activities and corresponding unit times for processes performed; model outputs included calculations of available and sustainable capacities, optimum no. of people required by department for current and anticipated workloads, and capacity utilization factors under various scenarios. Data population for each model was done using the automated data collection component of Structured Metrics®. Transaction volumes were gathered from automated and manual sources. A resource adequacy model was developed for purposes of determining future staffing requirements that would meet actual workloads.

Results
Both the current and future state scenarios showed that additional staff resources were indeed necessary - unit management's hypothesis was valid. However, our findings showed far fewer resources were necessary than originally thought by senior management. Moreover, the distribution of additional resources was not uniform across the various processing areas of Bank Operations. With executive management's full approval, the unit received additional headcount funding as per our recommendations.

About National Penn Bank
National Penn Bancshares, Inc. is a $3.2 billion financial services company headquartered in Boyertown, Pennsylvania, and is the parent company of National Penn Bank. Celebrating 129 years as an independent community bank, National Penn operates 65 offices in ten counties throughout southeastern Pennsylvania.

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