Snowflake - HR Tech Client

Industry: HiTech

Snowflake - HR Tech Client

Posted by Encora on May 24, 2023 8:58:12 AM
Encora’s approach drove significant improvements across the client’s eCommerce KPI dashboard.

Topics: HiTech

Industry Context

  • Our client’s HR platform allows small and medium businesses to seamlessly run payroll, benefits, compliance, and other HR capabilities
  • Professional Employment Organizations (PEOs) and Human Capital Management (HCM) market CAGR between 8-10% up to 2028 
  • More complex, hybrid workforces emerging
  • Concerns with data privacy and security 
  • Demand for intelligent solutions, advanced analytics and usage of AI/ML
HR Industry

Client Challenge

  • Decision-making impacted by data pipeline limitations
  • Lack of scalability in the data infrastructure and the application 
  • Vulnerabilities and quality issues in production
HR Challenge

Approach

  • Envision: Product Management, added capacity to maintain and fix issues with the platform data flows to free up client teams' capacity for other tasks
  • Enable: Cloud Services, architected, designed, and implemented migration from Heroku to a modern, Kubernetes-based infrastructure with Infrastructure-as-Code. Platform Modernization, participation in several teams to modernize legacy monolithic applications to microservices for scalability.
  • Engineer:  Product Engineering & Development, quick ramp-up of team members in new technologies and client stack DevOps, strong focus on reducing vulnerabilities. Issue investigation, solution proposal, and implementation. Data Science & Engineering, re-architected, re-designed, delivered MVP, and scaled the data pipeline on a modern data stack, enabling near real-time insights leveraging DataOps techniques Quality Assurance, design and implementation of Quality Engineering infrastructure and techniques increasing stability, performance, ease of use. Added capacity to automate functional & API tests

HR Approach

Results

  • Quick engagement (2 weeks) and quick results (3 months for MVP) on the Data front
  • Modern Data Stack with data pipelines running every 15 minutes vs. 5+ hours (with inconsistencies) in the legacy pipeline
  • Quality Engineering practices supported the launch of new features with high quality; 1.2k tests created
  • DevOps team supported the reduction of vulnerabilities from hundreds to zero in their main account
  • Application modernization to scale in progress
HR Results
HR client metric -95%

Main data pipeline cycle time

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