Data Wave runs two focused practices — deep Dayforce HCM expertise, and a full-stack Data & AI engineering capability.
Specialists in Dayforce HCM configuration, custom ETL pipelines, and workforce analytics — including AI-powered solutions built for production environments.
From Core HR and WFM setup to pay policies, custom reporting, and integrations — we configure Dayforce to match how your business actually runs, not how the manual says it should.
Org structures, position management, job definitions, employee records, and role-based security — the foundation everything else sits on.
Multi-step approval workflows for onboarding, offboarding, and position changes — routing tied to role, org unit, and manager hierarchy.
Shift scheduling, time & attendance, absence tracking, and labor allocation — built around your operational reality, not a generic template.
Statutory holidays, overtime tiers, shift premiums, and accrual-based entitlements — across multi-jurisdiction environments where eligibility rules all vary.
Dayforce reports across HR, payroll, and compliance — standardized metric definitions, automated outputs, and executive dashboards that don't need a data team to run.
API-based connections to Active Directory, Snowflake, benefits carriers (Guardian, Anthem), and ERP systems — cutting manual data entry by 50%.
Employee records, payroll history, and entitlement balances migrated from legacy HRIS into Dayforce — with validation testing across 500,000+ records at 98% accuracy.
Turnover trends, headcount movement, and compensation analysis on top of Dayforce data — with KPI frameworks that hold up to executive scrutiny across 43+ clients.
Dayforce engagements
Configured Core HR end-to-end — org hierarchy, position management, custom onboarding and offboarding workflows with multi-step approval routing, and role-based security ensuring the right people have the right access.
Built WFM configurations covering shift scheduling, time-off rules, absence tracking, and labor allocation — structured around each client's operational reality with compliance baked in from day one.
Configured complex pay policies covering statutory holidays, overtime tiers, shift premiums, and accrual entitlements across multi-client environments with varying jurisdictions and eligibility rules.
Synced employee identity with Active Directory for automated provisioning, piped HR data into a Snowflake data lake, and connected benefits carriers Guardian and Anthem for real-time enrollment and eligibility exchange.
Led HRIS data conversions migrating employee records, payroll history, and entitlement balances — managing HR imports, validation rules, and reconciliation testing to achieve 98% accuracy with zero downtime.
Built and standardized Dayforce reporting across HR, payroll, and compliance — designing Power BI dashboards tracking headcount, attrition, and compensation with KPI definitions that stayed consistent across client environments.
Manual HR work eliminated every week through custom Dayforce forms and approval workflow redesign.
Data accuracy migrating 500,000+ records from legacy HRIS into Dayforce with zero downtime.
Reduction in manual data entry via API integrations connecting Dayforce to Active Directory, Snowflake, Guardian and Anthem.
Enterprise clients served with standardized KPI frameworks and Dayforce reporting solutions.
Custom Python ETL pipelines, Power BI dashboards, Snowflake integrations, and AI systems — from retrieval-augmented knowledge bases to production ML models built for the real world.
Python-built end-to-end data pipelines — API extraction, transformation logic, SQL loading, PDF/XML parsing, and scheduled delivery to your data warehouse.
Data lake architecture and pipeline delivery into Snowflake — structured schemas, automated ingestion, and clean data that your BI tools can actually trust.
Executive dashboards tracking workforce, financial, and operational KPIs — built on clean SQL pipelines with standardized metric definitions that hold up across reporting periods.
Production-ready retrieval-augmented generation systems — indexing your internal knowledge across Confluence, Salesforce, or custom sources, with strict data access controls.
Custom Python ETL solutions that surface department-level attrition patterns buried in your HRIS data — giving leadership the visibility to intervene before talent walks out the door.
API-based connections across Workday, SAP, D365, Oracle/NetSuite, and Salesforce — automated data flows that eliminate manual entry and keep systems in sync.
Time-series forecasting, NLP models, and ML pipelines deployed to production — CI/CD workflows on AWS and Vercel with proper monitoring and version control.
AI systems designed for security-restricted environments — strict data governance, access controls, and audit trails that let you deploy AI even where standard tools can't go.
Data & AI engagements
Built a custom Python ETL pipeline pulling from Dayforce data to surface department-level turnover patterns that aggregate reporting was masking. Leadership finally saw exactly where they were losing people — and made targeted retention interventions that measurably reduced attrition in the highest-risk teams.
Architected an AI system with strict data access controls and audit governance — enabling secure deployment in highly restricted client environments and unlocking $200K in new project value that standard AI tooling couldn't reach.
Built a retrieval-augmented AI system indexing 6,000 technical articles across Salesforce and Confluence — collapsing document research from hours to seconds for a 40-person consulting team and putting institutional knowledge one query away.
Led large-scale data integrations connecting Workday, SAP, D365, and Oracle/NetSuite — automating complex payroll workflows at scale and retaining up to $500K in revenue by eliminating costly manual processing errors.
Key contributor on a company-wide data consolidation initiative integrating Salesforce, SAP, Oracle, Model N, and JDE into unified Power BI reporting — improving operational efficiency by 80% and preventing $2.3M in potential financial losses.
Designed and deployed an automated pipeline extracting HR and workforce data from Dayforce and loading it into a Snowflake data lake — giving analytics teams clean, structured data for enterprise reporting without touching production systems.
New project value unlocked by building a privacy-first AI system for security-restricted enterprise clients.
Technical articles indexed in a RAG AI system — cutting research from hours to seconds for 40 consultants.
Revenue retained through large-scale ETL integrations automating payroll workflows for 5,000+ employees.
Potential financial losses prevented through optimized cross-system reporting at a Fortune 500 pharma company.
Data Wave is practitioner-led — built by someone who has configured, integrated, and shipped in real enterprise environments.
Han Sern is a WFM & Data Consultant with deep hands-on expertise across Dayforce HCM configuration, custom reporting, API integrations, and workforce analytics. He has led enterprise reporting and analytics transformation initiatives across 43+ clients spanning HR, payroll, finance, and compliance. Before founding Data Wave, he served as Senior Dayforce Data Consultant at a leading HCM consulting firm and as a Data Analyst at a major Fortune 500 pharma company, where he improved operational efficiency by 80% and helped prevent $2.3M in potential financial losses on a company-wide data consolidation initiative.
We don't just consult — we build and deploy. From Dayforce config to production AI systems.
Whether it's a Dayforce configuration, a Python ETL pipeline, a Power BI dashboard, or an AI system — we're ready to help.
We'll get back to you within one business day.