Data Panda brings your Timely hours, projects, clients, tags, budgets and forecasts together with the data from the rest of your business. From one place, we turn approved time and project capacity into dashboards, automations, AI workflows and custom apps your team uses every day.
Timely is an automatic time tracking platform for agencies, SaaS companies and professional services teams that need trusted hours without asking people to rebuild their week from memory. It captures work, helps teams approve timesheets, and organises time around projects, clients, tags, budgets, forecasts and people.
Inside Timely, that data helps the team submit and approve hours. In a warehouse, the same data answers the questions that sit across tools: which projects are burning budget, which approved hours are ready to bill, which teams are over capacity, and which clients still look profitable after the real delivery time is counted.
Approved hours, budgets and capacity in one view, joined to the project and client they belong to.
Let Timely hours start the next step in finance, delivery and project management.
AI can reason over Timely data once hours are joined to CRM, PM and finance context.
Small internal tools for people who need Timely answers without another seat in Timely.
A list of concrete reports, automations and AI features we have built on Timely data. Pick the one that matches your situation.
Which clients consume margin before the invoice shows it?
Timely hours can be joined to project budgets, rates and invoice value per client. That shows the clients where delivery time grows faster than billable value, while the work is still active enough to fix scope, staffing or pricing.
Where does planned work differ from actual logged time?
Forecasts and planned time sit next to the hours people approved in Timely. Delivery leads see whether the gap comes from new work, under-estimated tasks or missing timesheets, instead of waiting for a monthly project review.
Which approved hours are ready for billing but still sitting in Timely?
Approved hours are grouped by project, client, billing status and age. Finance gets a review list for month-end, with the project owner and missing reference data shown on the same row.
Unbilled hours, billing lag and project margin come out of Timely before month-end pressure starts. Finance sees which approved hours are ready, which projects need a rate check, and which client margin has changed since the quote.
Renewals and new scopes get context from the work already delivered. Sales can see whether a client was profitable, whether the team has capacity for the next phase, and whether the next proposal needs a different rate or shape.
Capacity, budget burn and timesheet completeness sit in one operating view. Operations can spot overload, missing hours and project drift before the next weekly planning call turns into opinion trading.
Approved Timely hours are grouped by client, project and billing code before they flow into a QuickBooks Online invoice review. Finance keeps control over the final invoice, but the hours, rates and project references are already lined up before month-end.
Timely hours that passed approval become a billing queue for Xero, matched to the right customer and project. The bookkeeper no longer rebuilds project totals from CSV exports, and project leads can still review exceptions before anything is booked.
Timely projects and time entries are matched to Asana projects, tasks and owners in the warehouse. Delivery teams see estimated work next to approved hours, while finance gets the same project view without asking someone to copy data between tools.
Linear issues, projects and cycles are joined to Timely hours so product and engineering leaders can compare planned work with the time that was approved. Useful when delivery looks green in Linear but team capacity tells another story.
Jira epics and tickets are tied to Timely projects and approved hours. Project leads see which epic is consuming the budget, while leadership can compare delivery pace, logged time and scope changes in one dashboard.
Google Calendar meetings are joined to Timely hours so teams can see how much capacity meetings take from delivery work. The result is a practical view of meeting load, billable time and focus time by team.
Projects crossing a budget threshold, missing timesheets and unbilled approved hours post to the right Slack channel. The alert reaches the project lead while the project is still moving, instead of becoming a month-end surprise.
You keep the reporting tool you already have. We connect it to the warehouse where your Timely 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.
No. Timely treats Memory activity as private API data, so we do not build reporting on raw Memory events. We focus the connector on the public business data Timely exposes for reporting and workflow use, such as approved hours, projects, labels or tags, forecasts and related workspace data.
Timely documents webhook events for forecasts, hours, labels and projects, including created, updated and deleted events. Those events are useful for alerts and follow-up actions, while the warehouse sync keeps the historical reporting layer complete.
Yes, when the matching keys are agreed upfront. We usually match on project IDs, external references, client names, billing codes or controlled tags, then expose exceptions where Timely, the PM tool and the finance system disagree.
We review your Timely setup and the systems around it. Together we pick the first thing worth building.