Data Panda pulls your Namely employee records, payroll runs, time-off, benefits enrollments and performance reviews into the same warehouse as your finance, sales and operations data. From one place we turn it into dashboards, automations, AI workflows and custom apps that HR, finance and team leads use during the month, not only on the morning of a board meeting.
Namely was founded in 2012 in New York City by Matt Straz and grew into one of the recognisable HCM brands aimed at midsized US employers. In September 2022 the company merged with the combined organisation of Vensure Employer Solutions and PrismHR, and Namely continues to operate as a standalone HCM product inside that group. The platform serves more than 1,000 mid-market companies across the United States.
Namely covers the full HCM scope a 50-to-1,000-employee company expects from one tool: the employee record, onboarding, time and attendance, payroll with US tax management, benefits administration, performance management, applicant tracking and talent management. Namely's own framing leans on the idea of an HR platform that feels as intuitive as social media but holds the depth a real workforce needs. For HR teams that pick Namely, it is the single source of truth for who works here, who is being paid what, who is enrolled in which benefit, and how performance cycles are progressing. Pulled into a warehouse next to Salesforce, NetSuite and your project tools, the Namely record finally answers the questions a Namely view alone cannot: total cost of a hire across recruiter time, benefits and payroll, benefits-cost drift per plan and per cohort, or whether the teams running below review-cycle completion are also the ones missing on quota.
Headcount, payroll, benefits, performance and hiring funnel in one place, joined to finance and delivery data.
Turn hires, leavers, time-off and benefits events into the right downstream work, instead of a Monday morning checklist.
Put hiring pipeline, performance and pay history behind AI that sees the full workforce picture.
Lightweight HR and people-ops tools that sit on your Namely data rather than on another SaaS subscription.
A list of concrete reports, automations and AI features we have built on Namely data. Pick the one that matches your situation.
What is a Namely hire really costing us, end to end?
Recruiter time from the Namely ATS, benefits onboarding cost from the elections at hire, and ramp time before the role hits productivity, joined into one cost-per-hire number per role family. Hiring managers see which roles drift past their planned cost envelope and which sources keep delivering inside it, instead of a number that only shows up after a leaver triggers a post-mortem.
Where is our benefits spend drifting?
Benefits enrollments and per-plan cost from Namely tracked across cohorts and renewal cycles, so the months where a plan is silently rising stand out before the renewal quote arrives. HR and finance can argue with the broker on a number from the warehouse, not a printed PDF that lags two cycles behind reality.
Are the teams missing review-cycle completion the same teams missing on quota?
Performance-review progress per manager from Namely joined to revenue, delivery and attrition signals from the rest of the stack. The pattern that a slipping review cycle shows up two quarters before a sales miss or an unexpected resignation becomes a number you can act on, instead of a hunch that is hard to defend in a leadership meeting.
Payroll runs and benefits commitments reconciled against the finance ledger per cost centre and period. You see which departments are running above plan before the monthly close, not after.
Quota coverage against actual staffed sellers and their ramp dates from Namely. You see when a territory falls below coverage because a hire is delayed, weeks before the pipeline report catches it.
Time-off, hiring lead time and onboarding completion in one delivery picture. The capacity plan stops being four screenshots stitched the morning of the planning call.
New hires, work anniversaries and approved time-off in Namely drive the right Slack messages into the right channels: a welcome post on day one, an out-of-office note for the team channel, and a manager ping when an open role is past its target start date. HR stops running a weekly announcement queue by hand.
New hires and leavers in Namely keep the HubSpot quota-coverage view in sync with the actual staffed sales team, including ramp dates per rep. Revenue leaders see when a territory slips below target coverage because a hire is delayed or a leaver has not been replaced, weeks before the pipeline report catches it.
Owner changes in Salesforce stay in step with the staffed sellers in Namely: a leaver triggers a reassignment workflow on their accounts and opportunities, and a new hire picks up a clean book on day one rather than two weeks in. Pipeline coverage stops being skewed by accounts pointing at someone who left a month ago.
Approved time-off per assignee in Namely nets out the working days available in monday.com boards, so project leads plan against real capacity instead of a flat forty-hour assumption. Milestones that collide with a holiday-heavy week are flagged while there is still room to rephase, rather than after the sprint slips.
Companies that run Namely on the US side and Bob on the EU or UK side get one workforce picture in the warehouse instead of two HR systems that never quite agree. Headcount, hiring lead time and attrition are reported on the same definitions across regions, so a group HR call is not a debate about whose number is the real one.
Namely payroll runs and benefits commitments per cost centre feed Exact Online so the US payroll line in the group ledger is built from the source numbers rather than re-keyed from a PDF. Finance closes the month with one reconciliation pass instead of three, and intercompany allocations finally tie out to staffed headcount.
You keep the reporting tool you already have. We connect it to the warehouse where your Namely data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
The connector pulls the employee directory with its last-change timestamps, employments and pay-group structure, payroll runs with their per-employee earnings and deductions, time-off requests, types and policies, benefits enrollments per plan and life event, performance review cycles, and the applicant pipeline from the Namely ATS. That covers the reporting surface most HR, finance and operations dashboards need without writing a custom API job.
Namely stays the system of record for running payroll and the related US tax filings. The warehouse holds the historical payroll runs, joined to budgets, headcount and cost centres, so finance reports payroll-versus-plan and cohort-level cost evolution from one place rather than logging into Namely for each period.
Salary, social-security numbers, benefits-claim details and review-content fields can be kept in restricted schemas that only HR and finance roles reach, while the employee directory, time-off and headcount data powers the dashboards the rest of the business uses. Access is enforced in the warehouse, not in each dashboard, so a new report cannot accidentally expose a field it should not see.
We review your Namely setup and the systems around it. Together we pick the first thing worth building.