.png){kind=logo}
HR teams are drowning in fragmented data. Employee information lives in HRIS platforms, payroll systems, benefits providers, and applicant tracking tools — each with its own login, export format, and reporting limitations. For organizations managing thousands of employees across multiple regions, this fragmentation makes it nearly impossible to answer basic questions: What's our true cost per hire? Which benefits drive retention? How do compensation changes affect turnover?
Alight has long served enterprise HR organizations as a benefits administration and workforce solutions provider. But as HR analytics demands have grown — driven by the need for real-time dashboards, predictive workforce planning, and cross-functional reporting — many teams find Alight's data integration and analytics capabilities too limited. The platform excels at benefits administration but wasn't built for the modern HR data stack: centralizing dozens of sources, transforming data into analysis-ready models, and powering custom dashboards in tools like Tableau or Looker.
This article explores 10 alternatives to Alight that solve the HR data integration and analytics challenge. Whether you need a dedicated ETL platform for HR data, a unified people analytics suite, or a marketing-operations-grade solution that also handles HRIS connectors, you'll find options that fit your team's technical maturity and scale.
✓ Why HR teams outgrow Alight's data capabilities
✓ Key criteria for evaluating HR data integration platforms
✓ 10 alternatives ranked by use case, pricing, and technical requirements
✓ Feature-by-feature comparison table with Improvado as the benchmark
✓ How to choose between ETL, people analytics suites, and universal data platforms
✓ Implementation roadmap for migrating from Alight to a modern HR data stack
What Is Alight?
Alight Solutions is an enterprise human capital and benefits administration platform. It provides payroll, benefits enrollment, workforce management, and HR outsourcing services to large organizations. Alight serves as a benefits broker and administrator, handling everything from health insurance enrollment to retirement plan management.
While Alight offers reporting tools for benefits and payroll data, it's not designed as a data integration or analytics platform. HR teams using Alight typically need to export data manually, rely on Alight's limited pre-built reports, or build custom integrations to connect Alight data with other HR systems (HRIS, ATS, performance management tools). For teams that need real-time dashboards, cross-system analysis, or custom data models, Alight becomes a data silo rather than a data hub.
How to Choose Alight Alternatives: Key Evaluation Criteria
When evaluating alternatives to Alight for HR data integration and analytics, focus on these six criteria:
1. Connector breadth and depth
How many HR, payroll, and workforce systems does the platform natively connect to? Does it support HRIS platforms (Workday, SAP SuccessFactors, ADP), ATS tools (Greenhouse, Lever), performance systems (Lattice, 15Five), and benefits providers? Do connectors pull historical data, or only current snapshots?
2. Data transformation and modeling capabilities
Can the platform normalize data from multiple sources into a unified schema? Does it offer pre-built HR data models (headcount, turnover, cost per hire) or require custom SQL? Can non-technical users build transformations, or is engineering support required for every change?
3. Output flexibility
Where can you send the data? Does the platform support modern data warehouses (Snowflake, BigQuery, Redshift), BI tools (Tableau, Looker, Power BI), or only its own proprietary dashboards? Can you export raw data for custom analysis?
4. Compliance and security
HR data includes personally identifiable information (PII), salary details, and health records. Does the platform offer SOC 2 Type II certification, GDPR compliance, HIPAA support, and role-based access controls? Can you redact or mask sensitive fields before analysis?
5. Speed to value
How long does it take to go from signup to a working dashboard? Do you need a data engineering team to configure the platform, or can HR operations managers set it up independently? What's the typical onboarding timeline for 10+ data sources?
6. Total cost of ownership
What's the all-in cost — platform fees, connector fees, transformation credits, support tiers? Are professional services included or sold separately? Does pricing scale linearly with data volume, or are there step-function increases at certain thresholds?
Improvado: Universal Marketing and HR Data Platform
Improvado is an enterprise-grade data integration platform originally built for marketing teams but increasingly adopted by HR and finance organizations that need the same level of automation, governance, and scale. It offers 500+ pre-built connectors spanning marketing platforms, CRMs, HRIS systems, and financial tools — all feeding into a unified data pipeline that lands in your warehouse or BI tool of choice.
HR Data Integration Strengths
Improvado connects to major HRIS platforms (Workday, ADP, BambooHR, Namely), payroll systems (Gusto, Rippling), applicant tracking systems (Greenhouse, Lever), and performance tools (Lattice, Culture Amp). Each connector pulls granular data — employee records, compensation history, benefit elections, performance ratings — and normalizes it into a consistent schema. The platform preserves 2 years of historical data even when source APIs change, eliminating the risk of losing trend data during schema migrations.
Improvado's Marketing Cloud Data Model (MCDM) provides pre-built transformations for common HR metrics: headcount by department, turnover rate, time-to-fill, cost per hire, and compensation benchmarking. Non-technical users can configure these models through a no-code interface, while data engineers have full SQL access for custom logic. The platform also includes 250+ pre-built data governance rules that flag anomalies (duplicate employee records, missing cost center codes) before data reaches your dashboards.
For HR teams that also manage employer branding campaigns, recruiting ads, or employee engagement surveys, Improvado's marketing connectors (Google Ads, LinkedIn, Meta, Qualtrics) let you analyze the full employee lifecycle — from first ad impression to performance review — in a single data model.
Not Ideal For
Improvado is priced for mid-market and enterprise accounts (typically 500+ employees or multi-channel data needs). Smaller HR teams with simple reporting requirements may find the platform over-engineered for their use case. If you only need to connect 2–3 systems and your BI tool already has native connectors, a lighter-weight solution may be more cost-effective.
Workday Prism Analytics: Native Extension for Workday Customers
Workday Prism Analytics is Workday's data integration add-on that lets customers blend external data sources with Workday HRIS data inside the Workday environment. It's designed for organizations already using Workday as their core HR system who want to enrich Workday data with payroll, benefits, or third-party datasets without leaving the Workday ecosystem.
Tight Workday Integration
Prism connectors are pre-validated for Workday's data model, meaning you can join external tables (payroll actuals, benefits claims, recruiting spend) directly to Workday dimensions (employee, organization, cost center) without manual mapping. Data loaded into Prism becomes available in Workday reports, dashboards, and custom analytics apps within hours. For Workday power users, this eliminates the need to export data to a separate warehouse or BI tool.
Locked to Workday
Prism only works if Workday is your HRIS. It doesn't connect to non-Workday HR systems, and its connector library is limited compared to universal ETL platforms. If you use SAP SuccessFactors, ADP, or multiple HRIS instances across regions, Prism can't unify them. Pricing is opaque and typically bundled into Workday Enterprise contracts, making it difficult to compare cost-effectiveness against standalone alternatives.
Fivetran: Automated Cloud Data Integration
Fivetran is a general-purpose ETL platform with 400+ connectors covering databases, SaaS applications, and event streams. While not HR-specific, Fivetran includes connectors for major HRIS platforms (BambooHR, Namely, Hibob), payroll systems (Gusto, ADP), and applicant tracking tools (Greenhouse, Lever). It's a strong choice for data engineering teams that want a connector-as-a-service layer feeding a centralized warehouse.
Engineering-First Approach
Fivetran connectors sync on autopilot — you authenticate once, select tables, and data flows continuously into your warehouse. Schema changes are handled automatically, and Fivetran logs every sync event for audit trails. The platform integrates tightly with modern data stacks: dbt for transformations, Snowflake or BigQuery for storage, Looker or Tableau for visualization. For teams already using this stack, Fivetran slots in as the extraction layer without requiring new tooling.
No Pre-Built HR Models
Fivetran delivers raw tables, not analysis-ready metrics. You'll need to build your own headcount models, turnover calculations, and cohort analyses using dbt or SQL. There's no HR-specific UI, no pre-built dashboards, and no governance rules for employee data. If your team lacks data engineering resources, Fivetran becomes a connector library without a reporting layer.
Stitch Data: Open-Source ETL for Smaller Teams
Stitch (now owned by Talend) is a lightweight ETL platform based on the open-source Singer framework. It offers 130+ connectors including HR systems like BambooHR, Namely, and Gusto. Stitch is designed for startups and mid-market teams that need basic data replication without enterprise-grade features or pricing.
Transparent Pricing and Fast Setup
Stitch pricing is based on monthly rows replicated, starting at $100/month for 5 million rows. There are no hidden connector fees or transformation credits. Setup takes minutes: authenticate your source, select a destination (PostgreSQL, Redshift, Snowflake), choose tables, and sync begins. For small HR teams with straightforward replication needs, Stitch offers predictable costs and minimal configuration.
Limited Connector Depth
Stitch's HR connector library is narrow compared to Fivetran or Improvado. Many enterprise HRIS platforms (Workday, SAP SuccessFactors) aren't supported. Connectors pull only the fields exposed by source APIs — if a system doesn't offer an API endpoint for a specific data type, Stitch can't extract it. The platform also lacks transformation capabilities; you'll need a separate tool (dbt, Dataform) to model raw data into HR metrics.
Airbyte: Open-Source Data Integration
Airbyte is an open-source ETL platform with 300+ connectors, including HRIS systems (BambooHR, Personio, Hibob), payroll tools (Gusto, Rippling), and ATS platforms (Greenhouse, Ashby). Airbyte can be self-hosted (free) or used as a managed cloud service. It's popular with engineering teams that want full control over their data pipeline without vendor lock-in.
Customization and Community
Airbyte's open-source model means you can fork connectors, add custom fields, or build entirely new integrations using Airbyte's SDK. The community contributes connectors for niche HR tools that commercial platforms don't support. If your organization uses a regional HRIS or a custom-built people system, Airbyte's extensibility makes it a viable option. Self-hosted Airbyte is free, though you'll need infrastructure (Kubernetes cluster, database) and engineering time to maintain it.
Operational Overhead
Self-hosting Airbyte requires DevOps resources: managing updates, monitoring sync failures, scaling workers, and securing credentials. Airbyte Cloud (the managed service) removes this overhead but costs more than Stitch and lacks the enterprise support of Fivetran or Improvado. For HR teams without dedicated data engineering, the operational burden often outweighs the cost savings.
“On the reporting side, we saw a significant amount of time saved! Some of our data sources required lots of manipulation, and now it's automated and done very quickly. Now we save about 80% of time for the team.”
Visier: People Analytics Suite
Visier is a dedicated people analytics platform that combines data integration, pre-built HR metrics, and workforce planning tools in a single product. Unlike general ETL platforms, Visier is built specifically for HR use cases — turnover prediction, diversity tracking, compensation benchmarking, and succession planning.
Purpose-Built for HR
Visier includes connectors for 50+ HRIS, payroll, and performance systems. But unlike Fivetran or Airbyte, Visier doesn't just extract data — it loads it into Visier's proprietary HR data model, which pre-calculates 1,000+ workforce metrics (headcount trends, regrettable turnover, time-to-productivity). Non-technical HR business partners can build dashboards using Visier's drag-and-drop interface, without SQL knowledge. The platform also offers benchmarking data: compare your turnover rate, cost per hire, or diversity metrics against industry peers.
Closed Ecosystem
Visier data lives in Visier. You can't export transformed data to your own warehouse or BI tool (beyond static reports). If your finance or operations teams need access to HR data for cross-functional analysis, they'll need separate Visier licenses or manual exports. Pricing is opaque and scales with employee count, making it expensive for large enterprises. For organizations that want HR data to flow into a central data lake alongside marketing, sales, and finance data, Visier's siloed approach is a non-starter.
OneModel: Composable People Analytics
OneModel is a people analytics platform that combines ETL, data modeling, and visualization in a modular architecture. It connects to HRIS, payroll, ATS, and performance systems, normalizes data into a unified schema, and powers dashboards in OneModel's UI or external BI tools.
Flexible Output Options
Unlike Visier, OneModel lets you export data to Snowflake, BigQuery, or Redshift, making it compatible with existing data warehouses and BI stacks. You can use OneModel's pre-built dashboards for standard HR metrics, then push granular data to Tableau or Looker for custom cross-functional analysis. OneModel also supports reverse ETL: write calculated metrics (predicted turnover risk, flight risk scores) back into HRIS systems to trigger workflows.
Smaller Connector Library
OneModel's connector catalog is narrower than Improvado or Fivetran. If you use niche HR systems or regional payroll providers, you may need custom connector development (which OneModel offers as a professional service). The platform is also priced for mid-market and enterprise accounts; smaller teams may find it cost-prohibitive for basic reporting needs.
Peakon (Workday): Employee Engagement Data
Peakon, acquired by Workday in 2021, is an employee engagement and continuous feedback platform. It collects sentiment data through pulse surveys, exit interviews, and feedback forms, then surfaces insights in real-time dashboards. Peakon integrates tightly with Workday HRIS but also connects to other HR systems via API.
Engagement Analytics
Peakon excels at correlating engagement scores with HR outcomes: which teams have high turnover? Do compensation changes improve sentiment? How does manager effectiveness vary by department? The platform uses machine learning to identify engagement drivers and predict attrition risk. For HR teams focused on employee experience and retention, Peakon provides actionable insights that traditional HRIS reporting can't surface.
Survey-Centric, Not Comprehensive
Peakon is designed for engagement data, not full HR analytics. It doesn't replace an ETL platform or people analytics suite — you'll still need a separate tool to unify HRIS, payroll, benefits, and recruiting data. Peakon's value is additive, not foundational. It's best used alongside a broader HR data stack, not as the sole analytics platform.
Tableau Prep + Native Connectors: BI-Tool-First Approach
Tableau (and competitors like Power BI) offer native connectors to some HRIS platforms (BambooHR, ADP, Workday). For teams already using Tableau as their BI tool, this approach eliminates the need for a separate ETL platform — data flows directly from HR systems into Tableau for visualization.
Unified Visualization Layer
If your organization already licenses Tableau for finance, sales, and operations reporting, adding HR data through native connectors keeps everything in one tool. HR analysts can build dashboards using the same interface and data models as their cross-functional peers. Tableau Prep (Tableau's lightweight ETL tool) lets you clean and join data from multiple sources before visualization.
Connector Gaps and Maintenance Burden
Tableau's HR connector library is shallow. Many enterprise HRIS platforms aren't supported natively, forcing you to build custom connectors or use ODBC/JDBC bridges (which require manual schema mapping and break when APIs change). Tableau Prep lacks governance features — no automated anomaly detection, no historical data versioning, no pre-built HR data models. For anything beyond basic reporting, you'll need engineering resources to build and maintain transformation logic in Prep or SQL.
“Improvado allows us to have all information in one place for quick action. We can see at a glance if we're on target with spending or if changes are needed—without having to dig into each platform individually.”
ChartHop: Org Design and Headcount Planning
ChartHop is an organizational management platform that visualizes headcount, reporting structures, and workforce planning scenarios. It integrates with HRIS systems to pull employee data, then layers on org charts, compensation bands, and scenario modeling tools. ChartHop is popular with finance and HR teams managing headcount budgets and reorganizations.
Visual Workforce Planning
ChartHop's core value is its org chart interface: see every employee, their manager, compensation, tenure, and performance rating in a visual hierarchy. You can model "what-if" scenarios (what if we promote 10 senior engineers? what if we consolidate two departments?) and see the budget impact in real time. For workforce planning and headcount management, ChartHop is more intuitive than spreadsheet-based models.
Not an Analytics Platform
ChartHop doesn't aggregate data from multiple sources into a unified analytics model. It's designed for org structure and compensation management, not turnover analysis, recruiting funnel reporting, or cross-system HR dashboards. Teams using ChartHop still need a separate platform (Improvado, Fivetran, or a people analytics suite) to power comprehensive HR reporting.
Domo: All-in-One BI and Data Integration
Domo is a cloud-based BI platform that includes ETL connectors, data transformation, and visualization in a single product. It offers 1,000+ connectors spanning business applications, databases, and HR systems. Domo positions itself as an end-to-end data platform: extract, transform, visualize, and share — all within Domo's environment.
Unified Platform for Non-Technical Users
Domo's appeal is simplicity: HR operations managers can connect data sources, build transformations using Domo's drag-and-drop ETL tool (Magic ETL), and publish dashboards — all without leaving Domo. The platform includes pre-built HR dashboard templates (turnover, headcount, recruiting funnel) that can be customized to match your organization's structure. For teams that want a single vendor for data integration and BI, Domo reduces tool sprawl.
Vendor Lock-In and Cost
Domo data stays in Domo. You can't export transformed datasets to Snowflake, Redshift, or external BI tools without paying for Domo's data export add-on. Pricing is per-user, making it expensive for large teams that need read-only dashboard access. Domo's HR connector library is also narrower than Improvado or Fivetran — many regional HRIS platforms and niche HR tools aren't supported. For organizations committed to a modern data stack (warehouse + dbt + BI tool), Domo's closed ecosystem is a dealbreaker.
How to Get Started with HR Data Integration
Migrating from Alight to a modern HR data integration platform follows a four-phase roadmap:
Phase 1: Audit your current state
Document every HR system you use: HRIS, payroll, ATS, performance management, benefits administration, engagement tools. For each system, list what data you extract today, how often, and who consumes it. Identify the reports and dashboards your team relies on — these become requirements for the new platform. Note where manual work happens: CSV exports, copy-paste into spreadsheets, weekly data refreshes. These are the processes automation will eliminate.
Phase 2: Define your target architecture
Decide where data should land: a cloud data warehouse (Snowflake, BigQuery, Redshift), a BI tool (Tableau, Looker, Power BI), or a people analytics platform (Visier, OneModel). If you already have a data warehouse for finance or sales data, extending it to include HR data simplifies cross-functional analysis. If your team is non-technical, a platform with built-in dashboards (Improvado, Domo) reduces dependency on data engineering.
Phase 3: Start with high-impact use cases
Don't try to migrate all HR reporting at once. Start with 2–3 high-value dashboards: executive headcount reporting, recruiting funnel metrics, or turnover analysis. Choose use cases that currently require the most manual work or suffer from the longest data lag. Build these dashboards in your new platform, validate the data against current reports, and roll them out to stakeholders. Success here builds momentum for broader adoption.
Phase 4: Automate governance and expand coverage
Once core dashboards are live, layer in data governance: automated anomaly detection (missing records, duplicates, schema changes), role-based access controls (redact salary data from non-HR users), and audit trails (who accessed what data, when). Then expand connector coverage: add engagement data, learning management systems, applicant sources, and external benchmarking datasets. The goal is a single source of truth for all people data, refreshed daily, accessible to any stakeholder with appropriate permissions.
Conclusion
Alight serves a critical role in benefits administration and HR outsourcing, but it wasn't designed for the modern HR analytics challenge: unifying dozens of data sources, transforming raw data into analysis-ready metrics, and powering real-time dashboards across the organization. The platforms in this guide solve that problem — whether you need a general-purpose ETL tool (Fivetran, Airbyte), a dedicated people analytics suite (Visier, OneModel), or a universal data platform that handles HR alongside marketing and finance (Improvado).
Your choice depends on three factors: technical maturity (can your team manage infrastructure and write SQL, or do you need a no-code solution?), ecosystem fit (do you already have a data warehouse and BI tool, or do you need an all-in-one platform?), and scale (are you integrating 5 systems or 50?). For enterprise teams managing complex HR data across multiple regions, systems, and stakeholders, platforms like Improvado offer the connector breadth, governance features, and cross-functional compatibility that HR-only tools can't match.
The cost of fragmented HR data is measurable: hours wasted on manual reporting, delayed insights that miss hiring windows, and decisions made on incomplete information. Moving to a unified HR data platform isn't a technology project — it's a strategic investment in faster, more informed people decisions.
Frequently Asked Questions
What is Alight used for?
Alight Solutions is used for benefits administration, payroll processing, and HR outsourcing. It helps large organizations manage employee benefits enrollment, retirement plans, health insurance, and related HR services. While Alight provides some reporting capabilities for benefits and payroll data, it is not designed as a comprehensive HR data integration or analytics platform. Organizations looking to unify HR data from multiple sources typically need to supplement Alight with dedicated ETL or people analytics tools.
Why do organizations look for Alight alternatives?
Organizations seek Alight alternatives when they need more advanced HR data integration and analytics capabilities. Common drivers include: the need to unify data from HRIS, payroll, ATS, and performance management systems that Alight doesn't connect to; the desire for real-time dashboards instead of periodic manual reports; requirements for custom data models and transformations that Alight's reporting tools don't support; and the need to export HR data to centralized data warehouses or BI tools for cross-functional analysis alongside marketing, sales, and finance data.
What's the difference between an ETL platform and a people analytics suite for HR data?
ETL platforms (Fivetran, Airbyte, Improvado) focus on extracting data from multiple sources, transforming it into a consistent format, and loading it into your chosen destination — typically a data warehouse or BI tool. They provide the data infrastructure layer but generally don't include HR-specific dashboards or metrics. People analytics suites (Visier, OneModel) combine ETL with pre-built HR data models, metrics (turnover rate, time-to-fill), and visualization tools in a single platform. They're faster to deploy for HR-specific use cases but less flexible for cross-functional analysis. The best choice depends on whether you need HR data to integrate with a broader enterprise data stack (choose ETL) or prefer an all-in-one HR analytics solution (choose people analytics suite).
Can Improvado replace Alight for HR data integration?
Improvado does not replace Alight's core benefits administration and HR outsourcing functions. However, it can replace or supplement Alight's data integration and reporting capabilities. Improvado connects to 500+ data sources including major HRIS platforms, payroll systems, ATS tools, and performance management software. It normalizes this data into a unified schema, applies pre-built or custom transformations, and delivers analysis-ready datasets to your data warehouse or BI tool. For organizations that use Alight for benefits administration but need a more robust data integration layer to unify HR data with marketing, sales, and finance data, Improvado provides that universal data pipeline.
How long does it take to implement an HR data integration platform?
Implementation timelines vary by platform complexity and organizational readiness. For pre-built SaaS platforms with standard connectors (Stitch, Fivetran), initial setup can take 1–2 weeks: authenticate sources, configure destinations, and validate data flow. For enterprise platforms with custom transformations and governance requirements (Improvado, OneModel), expect 4–8 weeks for initial deployment, including data modeling, dashboard development, and user training. Self-hosted open-source solutions (Airbyte) require additional infrastructure setup time. The key to faster implementation is having a clear inventory of data sources, documented requirements for transformations and metrics, and stakeholder alignment on dashboard priorities before vendor selection.
What security and compliance features should I look for in an HR data platform?
HR data includes sensitive personally identifiable information (PII), salary details, and sometimes health records (protected under HIPAA in the U.S.). Essential security features include: SOC 2 Type II certification (validates that the vendor follows security best practices and undergoes regular audits); GDPR compliance (for organizations with European employees); HIPAA support (if you're integrating health benefits data); role-based access controls (RBAC) to restrict who can view salary, performance, or demographic data; data masking or redaction capabilities (to anonymize sensitive fields before analysis); and encryption in transit and at rest. Enterprise platforms like Improvado, Fivetran, and Visier typically offer these certifications and controls. Open-source or startup platforms may require additional configuration to meet compliance standards.
What are the typical costs for HR data integration platforms?
Pricing models vary widely. Usage-based platforms (Fivetran, Stitch) charge per million rows replicated or per monthly active row (MAR), typically starting at a few hundred dollars per month for small data volumes and scaling to thousands per month at enterprise scale. Per-employee platforms (Visier, Peakon, ChartHop) charge based on total headcount, often ranging from a few dollars to over ten dollars per employee per month. Enterprise annual contracts (Improvado, OneModel, Domo) bundle connectors, transformations, and support into flat annual fees, typically starting in the tens of thousands for mid-market deployments. Open-source platforms (Airbyte self-hosted) have zero software costs but require infrastructure and engineering resources. When comparing costs, factor in connector coverage (do you pay per connector or get unlimited access?), transformation limits (are there row or compute caps?), support tiers (is implementation help included or sold separately?), and total cost of ownership (platform fee plus internal engineering time).
Do I need to use Workday to benefit from Workday Prism Analytics?
Yes. Workday Prism Analytics is designed exclusively for organizations using Workday as their HRIS. It allows you to bring external data (payroll, benefits, third-party datasets) into the Workday environment to enrich Workday reporting and dashboards. If you use SAP SuccessFactors, ADP, BambooHR, or another HRIS platform, Prism is not an option. In that case, a universal ETL platform (Improvado, Fivetran) or a multi-system people analytics suite (OneModel) would be more appropriate.
What if my HR system isn't supported by pre-built connectors?
Most enterprise data integration platforms offer custom connector development as a professional service. Improvado, for example, builds custom connectors with a 2–4 week service-level agreement (SLA) at no additional cost for enterprise customers. Fivetran and Airbyte also offer custom connector development, though pricing and timelines vary. Open-source platforms like Airbyte allow you to build connectors yourself using their SDK, which gives full control but requires engineering resources. When evaluating platforms, ask about the custom connector process: What's the typical build time? Is there an additional fee? Who maintains the connector when the source API changes? Platforms with strong professional services teams and SLAs provide more predictable outcomes for niche or regional HR systems.
FAQ
.png)
