All-in-one HR platform · v2.0
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Headcount, attrition, overtime, leave utilisation and payroll cost, and who can see what.
From the same employee record, attendance ledger and payroll runs the rest of the platform uses. There is no separate reporting database to load, which is why a figure in a report reconciles to the run it came from.
Analytics is part of the Growth plan alongside payroll, performance, OKRs and recognition. Starter covers attendance, leaves, the employee directory and documents.
They are read live. A report reflects the record as it stands when you open it, so a leave application approved an hour ago is already counted. There is no overnight refresh to wait for, and no cached figure to invalidate.
Signals the platform already holds: tenure, leave pattern, goal completion and time since the last review. It is an early-warning flag rather than a score: it tells you which records are worth a conversation, and does not claim to predict who will resign.
Yes. Reports export with the period and the filters they were run under recorded alongside them, which matters when a figure has to be defended later: an auditor's question is usually about what was included, not about the arithmetic.
Visibility follows the same role permissions as the rest of the platform. A department head sees their own department; salary components are visible only to roles that already have payroll access. Analytics does not create a side door into records the same user could not open directly.
Pricing is per employee per month with three published plans and no setup fee. The pricing page carries the current rates and an estimator so you can work the number out before speaking to anybody.
Not the parts that scale linearly. Lookup questions, chasing documents and approvals, assembling reports and re-keying between systems are removed by self-service, automated reminders, live reporting and one shared record. Judgement work such as policy exceptions, grievances and appraisal calibration does not scale away.
Analytics reports attrition-risk indicators by department, grade and location from signals the platform already holds, tenure, leave pattern, goal completion, time since last review. It is an early-warning flag intended to prompt a conversation, not a prediction of who will resign.
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