Rippling connector

Use your Rippling data for reporting, automation and AI.

Data Panda brings your Rippling employees, payroll runs, devices, app assignments and corporate-card spend into the same warehouse as your CRM, ERP and operations data. From one place we turn it into dashboards, automations, AI workflows and custom apps that HR, IT and finance use during the month, not only the morning of a board meeting.

Data Panda Reporting Automation AI Apps
Rippling logo
About Rippling

One employee record for HR, IT and finance, instead of five tools that argue about who that person is.

Rippling was founded in 2016 in San Francisco by Parker Conrad and Prasanna Sankar, and launched publicly in 2017. Conrad's previous company, Zenefits, had ridden the same SMB-HRIS wave four years earlier; Rippling was built around the lesson that an HRIS on its own does not finish the joiner, mover and leaver job that small and mid-sized companies run in practice. The company employs around 5,000 people today.

The product covers four jobs that mid-market companies otherwise buy from four vendors: HR (HRIS, recruiting, benefits, performance, time and attendance, learning), payroll (domestic and global, plus contractor pay), IT (identity, app provisioning across 600-plus connected apps, and Apple plus Windows MDM), and spend (corporate cards, expense management, bill pay and travel). Global hiring sits across that as Employer of Record in markets where the customer has no entity. The bundle is the point: a joiner record drives the laptop ship, the Okta-equivalent app provisioning, the card issue with the right department limit and the payroll setup off one approval, and a leaver record reverses all of it. Pulled into a warehouse next to Salesforce, NetSuite or Dynamics, that record finally answers the cross-module questions Rippling reports do not, like which department's joiner-to-fully-provisioned cycle is drifting, where the card programme has dead seats sitting on departed users, or whether global EOR cost per country still beats the alternative now that headcount in that country crossed the entity-setup break-even.

What your Rippling data is for

What you get once Rippling is connected.

Workforce, IT and spend reporting on one record

Headcount, app assignments, devices and corporate-card spend on the same employee record, joined to finance and delivery data.

  • Joiner-to-fully-provisioned cycle time per role and department, with the slow handoffs named
  • Leaver-to-deprovisioned lag across HR, identity, devices and cards in one timeline
  • Module-by-module spend per FTE, with global EOR cost per country broken out

Process automation

Turn Rippling joiner, mover and leaver events into the downstream work the rest of your stack expects, without a per-module handoff.

  • Push payroll journals into NetSuite, Sage Intacct or Dynamics per entity, with cost centre and country on the line
  • Mirror Rippling app and group assignments into the SaaS tools that still live outside the 600-plus connector list
  • Free a corporate card and a Salesforce seat the moment a leaver record posts in Rippling

AI workflows

Put HR, identity, devices and spend behind AI that reads the bundled record as one picture.

  • Score joiner-provisioning risk on the role, manager and historical bottleneck pattern
  • Forecast EOR-versus-entity cost per country as headcount approaches a break-even point
  • Natural-language Q&A across the employee record, app assignments and card-spend history

Custom apps on your data

Lightweight tools on Rippling data for managers and BU heads who should not need a Rippling seat to read their own team.

  • Manager workbench with team headcount, device state, app coverage and month-to-date card spend
  • Group-finance cockpit with payroll cost, EOR cost per country and module-level subscription split
  • Joiner-mover-leaver tracker with the gap from HR action to access, device and card change visible per case
Use cases

Use cases we deliver with Rippling data.

A list of concrete reports, automations and AI features we have built on Rippling data. Pick the one that matches your situation.

Joiner-to-fully-provisioned cycleHours from signed offer to laptop, identity, app access and card live, per role and department.
Leaver deprovisioning lagHours between termination record and full revoke across identity, devices, apps and cards.
Headcount-versus-planActive and pending hires against the approved hiring plan per cost centre and country.
Multi-country payroll costGross payroll cost per country, currency and entity, with FX translation.
Global EOR cost per countryLoaded EOR cost per worker and country, against the break-even of opening a local entity.
App-assignment growth and dormancyActive versus dormant app assignments per business unit, with the licence-cost owner attached.
Device fleet age and OS complianceMac and Windows fleet age and OS-version distribution, joined to the replacement plan.
Card-issued versus activeCards in someone's wallet versus cards used this quarter, with the leavers separated out.
Department burn versus budgetLive card and bill-pay spend per department against the budget that funds it.
Time-off across countriesApproved time-off across domestic and EOR contracts, mapped onto delivery capacity.
Onboarding completionCompletion of onboarding workflows per cohort and department, with the stuck steps named.
Module-level subscription splitCost share per Rippling module against active usage, ahead of the renewal.
Real business questions

Answers you will finally get.

How long does it really take to get a joiner from signed offer to fully working?

Hours and days between the signed offer in Rippling and the moment the laptop is shipped, the identity is live, the app assignments are in place and the corporate card is active. Per role, manager and department, with the handoff that consistently runs slowest named, instead of trusting that the bundled workflow fired on time.

Did the leaver lose access everywhere, end to end?

Hours between the termination record in Rippling and the full revoke across identity, app assignments, device lock-or-wipe and the corporate card. Security and HR see the cases that drift past policy and the modules where the lag is structural, instead of finding out at the next access review.

Is global EOR still the cheaper path now that we have grown in that country?

Loaded EOR cost per worker and country plotted against the modelled cost of opening a local entity at the current and projected headcount. Group finance sees the country where the EOR premium has tipped past the break-even, instead of finding it in next year's budget retrospective.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

Rippling payroll cost per entity, country and module-level subscription cost lined up with the GL and the budget plan. Group close stops waiting on a payroll export per country, and the personnel-cost line on the management report ties back to the Rippling record it came from.

For sales leaders

Quota coverage against the staffed seller roster and provisioning state from Rippling. Sales leadership sees the rep who signed last week but is still waiting on Salesforce access, and the rep whose territory just opened up because a leaver record posted but the seat was never freed.

For operations

Joiner, mover and leaver flows across HR, identity, devices and cards on one timeline. The COO sees which department is letting joiners ramp without a working laptop and which leaver took a week longer than policy to lose their card.

Ideas

What you can automate with Rippling.

Pair with Salesforce

Tie Salesforce quota coverage to Rippling-staffed reps

New hires, transfers and leavers in Rippling keep the Salesforce quota-coverage view in sync with the staffed sales team per region and segment, including ramp dates and territory assignments. Sales leaders see when EMEA mid-market drops below coverage because a senior AE is signed in Rippling but still waiting on app provisioning, weeks before the forecast call catches it. The cost of carrying a Salesforce seat for a leaver whose record posted but never propagated is a list of names rather than a quarterly clean-up.

Pair with Slack

Drive joiner and leaver alerts from the Rippling timeline

Joiner records in Rippling post a welcome message on day one in the team channel and ping the manager when a step (laptop, app provisioning, card) has been waiting more than the agreed SLA. Leaver records do the reverse: a manager ping when identity, device or card revoke has not closed within hours of the termination, and an HR-channel summary on the cases that drifted past policy. People ops stops running a weekly handoff queue across HR, IT and finance by hand.

Pair with BILL (Bill.com)

Reconcile Rippling spend with Bill.com AP for groups that run both

Mid-market groups that started on Bill.com for AP and added Rippling for cards and bill pay end up with two payment surfaces and one supplier register that drifts. Rippling card transactions, expense reports and bill payments land next to Bill.com AP postings in the warehouse, on the same vendor key, so finance sees the supplier paid through both, the duplicate vendor records and the cost-centre split per system. The decision to consolidate one surface or run them in parallel becomes a list rather than a quarterly migration argument.

Pair with Box

Add Rippling identity context to Box external-share governance

Rippling app assignments and active-account state land next to Box collaborators, so the external-share review knows when an internal collaborator has already been deprovisioned in Rippling but is still listed as a Box folder owner. Governance closes that gap on a list rather than discovering it folder by folder during the next audit, and the same join surfaces the leaver whose Box ownership outlasted their identity by weeks.

Your existing tools

Your data lands in a warehouse. Your BI tools read from it.

You keep the reporting tool you already have. We connect it to the warehouse where your Rippling data lives.

Power BI logo
Power BI Microsoft
Microsoft Fabric logo
Fabric Microsoft
Snowflake logo
Snowflake Data warehouse
Google BigQuery logo
BigQuery Google
Tableau logo
Tableau Visualisation
Microsoft Excel logo
Excel Sheets & pivots
Three steps

From Rippling to answers in three steps.

01

Connect securely

OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.

02

Land in your warehouse

Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.

03

Reporting, automation, AI

We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.

Two ways to work with us

Pick the track that fits how you work.

Track 01

Self-serve

We set up the foundation. Your team builds on top.

  • Rippling connector configured and running
  • Warehouse set up in your cloud account
  • Clean access for your Power BI, Fabric or Tableau team
  • Documentation on what's in the data model
  • Sync monitoring so you're warned before reports break

Best fit Teams that already have a BI analyst or data engineer and want to own the build.

Track 02

Done for you

We build the whole thing, end to end.

  • Everything in Self-serve
  • Dashboards built to the questions your team actually asks
  • Automations between your systems
  • AI workflows scoped to real tasks your team runs
  • Custom apps where a dashboard does not cut it
  • Ongoing delivery at a pace that fits your team

Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.

Before you book

Frequently asked questions.

Who owns the data?

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.

How fresh is the data?

Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.

Do I need a warehouse already?

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.

Which Rippling tables land in the warehouse?

The connector pulls the Employees register, Departments and Work Locations, Payroll runs and Payments, Expenses, Devices and App assignments, Time tracking and Leave. That covers the cross-module reporting surface most HR, IT and finance dashboards need. Authentication runs through a Rippling API token scoped to your tenant, and the sync is incremental on the high-volume tables (payroll, expenses, devices) so daily runs stay within the API budget the rest of your in-product Rippling integrations also use.

We replaced BambooHR, Okta, Jamf and Brex with Rippling. Do we still need a warehouse?

The bundle solves the integration seam between modules; it does not solve the join to the rest of your stack. Rippling reports tell you what happened inside Rippling. The CFO question about EOR-versus-entity break-even per country needs Rippling next to NetSuite. The CRO question about whether a rep ramp is being held up by a missing Salesforce profile needs Rippling next to Salesforce. The audit question about external Box shares held by a deprovisioned user needs Rippling next to Box. That cross-system join lives in a warehouse, not in the Rippling admin console.

How are sensitive HR and spend fields handled at warehouse scale?

Compensation, social-security equivalents, country-specific tax IDs and full card-PAN data are kept in restricted schemas that only HR, finance and legal roles reach, while the employee directory, app-assignment, device and aggregated spend data powers the dashboards the rest of the business uses. Access is enforced in the warehouse, not in each dashboard, so a new operations report cannot accidentally surface a salary or card-detail field it should not see.

GDPR-compliant
Data stays in the EU
You own the warehouse

A first deliverable live in four to six weeks.

We review your Rippling setup and the systems around it. Together we pick the first thing worth building.