CASE STUDY
 

upskilling the workforce

Office of Personnel Management (OPM) LOB
 
THE CHALLENGE

Longevity is lending expertise and implementing data standards for Office of Personnel Management (OPM) Human Resource Line of Business (HRLOB) Human Capital Information Model (HCIM). In addition to assisting OPM with the expansion of data standards, our team is also supporting the establishment of payroll data standards for the GSA’s NewPay implementation. We are helping the NewPay team build strategies and solutions to streamline payroll processing for the Federal government through the development of Data Standards and an Analysis of payroll and financial reference and transaction data. Longevity has created an approach based on a framework leveraged as part of the Data Act implementation to establish payroll and financial related data standards to support the NewPay implementation. This work provides a foundation for more consistent use of payroll and financial data in the ongoing payroll processing operations.

THE SOLUTION

To help OPM support the implementation of human capital and payroll solutions that will help the diverse departments of the federal government, Longevity helped develop a Human Capital Management, Compensation and Benefits Conceptual Model (C&B CM), which is a framework for integrating the NewPay payroll solution into the Human Capital Business Reference Model (HCBRM). The conceptual model uses our natural language processing (NLP) algorithms to conduct fuzzy matching across shared service provider data sources and identify the common data elements and domain values between service providers, the payroll solution (Compensation and Benefits) and the HCRBM. The C&B CM supports the interaction between the GSA NewPay team, shared service providers and OPM HRLOB in the design, definition and implementation of common data standards for payroll operations. we regularly interacts with the HRLOB team in identifying data elements and domain values – candidates for harmonization and standardization across the federal payroll processing providers and agencies. The identified elements and domain values are then shared with OPM HRLOB for review and voting/approval by the Data Review Board to be included in the next Human Capital Information Model (HCIM) standards release.  

BUSINESS IMPACT

Our natural language processing algorithms have quickly and accurately identified common data elements and domain values, which reduces the level of manual review and improves the consistency of the data harmonization process for OPM.

  • Our team developed industry changing tools to automate the process of developing and deploying multiple iterations of C&B schemas and message specifications.
  • Our innovative tools and methods extracted Shared Service Provider (SSP) data from existing data dictionaries and other sources to allow for a deeper analysis and improved final standards.
  • Our team was able to harmonize data across service providers and improve the process through the introduction of synonym dictionaries to improve match ratios.
  • We developed weighting criteria for certain terms to either lessen the importance or increase the weighting of terms to increase the match ratios.
  • Our use of NLP and fuzzy logic improved the overall accuracy of the process, reduced variability and reduced the time needed to identify and harmonize common terms.
  • We developed a payroll business rule specification based on the Code of Federal Regulations (CFR) to document business rules for the payroll solution implementations to help adopters easily implement and comply with the CFR.
  • We developed the Compensation and Benefits Information Model and Implementation Guide to assist implementation and change management efforts for the NewPay solution. The guide included:
    • Compensation and Benefits data schema and model
    • C&B conceptual model
    • C&B XML schemas
    • C&B message models and specifications
    • C&B data dictionary
    • Data analytic visualizations for data standards adoption as part of key legislative actions (i.e., CARES Act and American Recovery Act)
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