RingCentral connector

Use your RingCentral data for reporting, automation and AI.

Data Panda brings your RingCentral call logs, queue activity, message store and number inventory together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your sales, support and operations teams use every day.

About RingCentral

The dedicated UCaaS platform built on a cloud-PBX backbone.

RingCentral was founded in 1999 in Belmont, California by Vlad Shmunis and listed on the NYSE in 2013 under the ticker RNG. The company is one of the established names in cloud PBX and unified communications as a service, alongside 8x8, Microsoft Teams Phone, Zoom Phone and Cisco Webex Calling, and reports more than 400,000 business customers across SMB and enterprise. The current line-up centres on RingEX (the cloud phone, message and meetings client), RingCX (the contact-centre product) and the broader Engage portfolio for digital customer engagement.

The reason to pull RingCentral into a warehouse is that the platform sits on the PBX-replacement seat for the whole company, not just for sales. Call logs cover every extension, queue events span every site, the message store carries SMS, MMS and fax history, and the user and extension directory is the source of truth for who got which DID. Put that data next to the CRM, the helpdesk and HRIS and you stop arguing about whether the team is busy enough. You start reviewing which queues abandon at lunchtime in Antwerp, which two hundred provisioned numbers saw zero traffic last quarter, and which licences still sit on names that left the payroll in March.

What your RingCentral data is for

What you get once RingCentral is connected.

Calling, queue and message reporting

Outbound minutes, queue health, SMS and fax volume on data that refreshes with the rest of the warehouse.

Outbound and inbound minutes per extension, team and site, week over week
Queue answer rate, abandon rate and wait time by hour and region
SMS, MMS and fax volume per number, with reply share where it applies

Call-event and licence automation

Let a missed call, a queue spike or an idle licence trigger the rest of the stack.

Missed inbound from a known opportunity opens a Salesforce task with the call log attached
Queue abandon rate above threshold pings the duty manager in Slack with the live wait curve
RingEX licences with no calls in 60 days route to IT for reclaim before the next renewal

AI workflows

Put call-pattern data behind AI that helps planners staff queues and managers coach reps.

Hour-by-hour staffing model per queue and site, fed by historical answer-rate curves
Calling-pattern scoring per rep against booked meetings and closed-won
Number-usage classifier that flags toll-free DIDs nobody dials anymore

Custom apps on your data

Small internal tools on RingCentral metadata for sales, support and ops leaders.

Sales-ops view of dial volume per rep against pipeline movement
Support-ops queue board with live wait time, abandon rate and overflow path
Ops-finance view of licence and DID cost against active usage per site

Use cases

Use cases we deliver with RingCentral data.

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

Outbound minutes per extensionTalk-time per extension and team, week over week, against booked meetings.

Queue answer and abandonPer-queue answer rate, abandon rate and wait time by hour.

Site-by-site call mixInbound, outbound and internal volume per site and region.

After-hours overflowWhere calls land once the primary queue closes for the day.

Number-inventory usageProvisioned DIDs that saw a call versus those that did not.

SMS and MMS volumeOutbound SMS and MMS sent per team and the share that gets a reply.

Fax inventoryInbound and outbound fax counts per number, with last-use age.

Licence reclaim listRingEX licences with no calls or messages over a chosen window.

Call-to-meeting ratioOutbound calls and minutes per booked meeting, per rep and segment.

Repeat-caller shareShare of inbound calls from a number already in the log this month.

Real business questions

Answers you will finally get.

Which queues drop calls at the same hour every week?

Queue events tagged with hour, site and agent skill, joined to a published shift roster. Support leadership sees that the Antwerp queue abandons at 12:30 because two of the three agents go to lunch together, while the Rotterdam queue holds because the schedule staggers it. The fix is a roster change, not a new headcount request.

How many of our RingEX licences are paying their way?

RingEX user list joined to call, SMS and message-store activity over a rolling 60- or 90-day window. Licences with zero calls and zero messages get flagged for reclaim before the next renewal, so the monthly per-seat line stops carrying ex-employees and dormant inboxes.

Which DIDs in our number pool see real traffic?

Number inventory next to call logs over a rolling ninety-day window. DIDs with zero inbound and zero outbound activity show up as candidates to release, which trims the per-number line on the carrier invoice without anyone losing a working extension.

Value for everyone in the organisation

Where each function gets value.

For finance leaders

RingEX licence count, DID count and minute usage per site next to the carrier invoice. Finance sees which sites pay for numbers nobody dials and which licences are assigned to people who left months ago, instead of getting a flat per-seat figure at renewal.

For sales leaders

Outbound minutes, connect rate and SMS volume per rep against meetings booked and pipeline added. Sales leadership separates reps whose dial volume turns into pipeline from reps whose talk-time padding shows up nowhere downstream.

For operations

Queue answer rate, abandon rate and wait time per site in one view, joined to the shift roster. Support-ops fixes a midday abandon spike with a roster change before it gets framed as a staffing shortage.

Ideas

What you can automate with RingCentral.

Pair with Salesforce

Match RingCentral calls to Salesforce accounts and opportunities

Inbound and outbound RingCentral calls match back to the Salesforce account and opportunity using caller number and rep extension, through the RingCentral for Salesforce native integration. Activity reports show real talk-time per deal stage, missed calls from known opportunities open a follow-up task on the rep's queue, and click-to-call from the Salesforce record drops a logged call back into the RingEX history.

Pair with HubSpot

Click-to-call and call logging in HubSpot

HubSpot contact and deal records get a click-to-call action that places the call through the rep's RingEX extension, and the call log lands back on the HubSpot timeline with duration, recording link and outcome tag. Marketing-ops sees which campaign sources pick up the phone, and sales-ops stops asking reps to log calls by hand.

Pair with Zendesk

Open Zendesk tickets from inbound RingCentral calls

Inbound calls into the support queue open or update a Zendesk ticket with caller number, queue, agent and call log, and the agent's screen-pop carries the customer's open-ticket history. Support-ops measures first-call-resolution against ticket reopens, and the duty manager sees abandon rate next to ticket backlog instead of in two tools.

Pair with Gong

Send RingCentral calls to Gong for conversation analysis

Recorded RingCentral calls feed Gong's conversation pipeline, where transcript, talk-listen ratio and objection tags get computed once and join the same warehouse view as the raw call log. Sales managers see one row per conversation with how long the call ran, who was on it and which objection killed the deal, instead of toggling between the RingEX history and the revenue-intelligence tab.

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 RingCentral data lives.

Power BI Microsoft

Fabric Microsoft

Snowflake Data warehouse

BigQuery Google

Tableau Visualisation

Excel Sheets & pivots

Three steps

From RingCentral to answers in three steps.

Connect securely

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

Land in your warehouse

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

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.

RingCentral 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.

Does the connector pull call recording audio or transcripts?

No. The connector pulls call metadata, queue events, user and extension directory, number inventory and message-store records (SMS, MMS, fax). Recording files and transcripts stay inside RingCentral, behind the platform's own consent prompts and retention policy. Recording-content analysis is better routed through a tool like Gong, where consent capture, retention and redaction are first-class parts of the workflow. The reporting questions most teams have, such as call volume, queue health and number usage, are answered from metadata alone.

How does this differ from a Microsoft Teams Phone or Zoom Phone connector?

All three sit on the cloud-PBX seat for the company, and the connectors expose similar building blocks: extensions, call logs, queues, numbers and messages. The pull from RingCentral is meaningful when RingCentral is the dedicated UCaaS platform of the business, often parallel to a Microsoft Teams or Webex rollout that handles internal chat. Putting RingCentral data in the warehouse next to Teams or Webex usage shows where the two systems duplicate, and lets the M365 or collaboration team make a sourcing call on real numbers rather than on vendor decks.

GDPR-compliant

Data stays in the EU

You own the warehouse

A first deliverable live in four to six weeks.

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

Book a call See our other connectors