PeoplesHR People Analytics vs Worklytics

PeoplesHR People Analytics helps leaders and HR teams examine workforce patterns, forecast turnover risks and support evidence-based decisions. Its analytics cover headcount, demographics and work structure, with separate supervisory and administrative views. Users can build customizable dashboards and explore the data interactively. Turnover prediction combines an assessment of data readiness with historical pattern analysis, automated insights and real-time risk processing. Risk tools highlight groups by business unit and demographics and provide individual probability reports to help target interventions. An enterprise dashboard brings together HR modules and tracks headcount, absenteeism, attrition, performance and engagement trends. Analytics integrate with PeoplesHR Core HR and payroll; the wider platform also offers ERP and accounting connectors, APIs and a third-party app marketplace. The SaaS platform supports Android, iOS, web and API, with TLS 1.2 encryption in transit, AES 256 at rest, role-based access, MFA and SSO. Pricing is on request, and there is no free plan. The listed Insights plan is $60 a month, billed per seat / month.

Worklytics provides workplace analytics for organizations seeking to improve productivity, collaboration, and AI adoption. Its connectors process work activity data into aggregated metrics and network graphs; the company says it generates and pushes more than 400 metrics. Pre-built dashboard reports and visualizations are available without technical setup, with integrations including Slack, Microsoft Teams, Zoom, Google Calendar, Outlook, GitHub, GitLab, Jira, Asana, Salesforce, and AI tools. Worklytics says it strips personal identifiers at ingestion, reports results for groups or teams of at least eight, and does not process or store work or message content. The Free plan is free and covers up to 100 users, calendar data only, 30 days of history, dashboard access, and basic meeting insights. Business is $2,500 a month, with up to 200 users, five integrations, and three months of history. Enterprise pricing is custom; listed features include predictive analytics, advanced benchmarking, data pipeline access, and row-level datasets.