Clean, connected data.
Most RevOps teams we meet have HubSpot, three sync tools, and a Zapier graveyard. Data Hub, formerly Operations Hub, becomes the cleanroom: 100+ real-time syncs, AI-powered data quality, Data Studio, programmable automation, and the Breeze Data Agent, so reporting finally agrees with itself.
Operations that stop firefighting.
Four real Data Hub builds, four real outcomes. Each card links to the full case study with the stack, methodology, and metrics in detail.
12 systems unified into one source of truth
A 12-week RevOps overhaul. Patient referrals, billing, scheduling, and clinical notes synced cleanly across HubSpot.
Dedup at scale across 5 marketing tools
Promptly used Data Hub programmable rules to dedup 800K+ contacts and keep them clean post-go-live.
Unleashed inventory wired to HubSpot
Hunter Pumps connected ERP inventory to CRM with custom webhooks. Stock-level pipelines update in real time.
Data quality automation in production
Enrichment, deduplication, and formatting rules run continuously on Data Hub workflows with AI-assisted actions.
When Data Hub fits, and when it truly doesn’t.
We work with Workato, Tray, and custom code too. Below is the honest read we give on every strategy call.
Right fit when
- You have HubSpot in production and 3+ disconnected tools that need data sync, dedup, or programmable automation.
- Salesforce sync needs to work cleanly with two-way rules, custom objects, and full history.
- Internal RevOps is small or non-existent. You need certified experts to architect and run this.
- AI-powered data quality, the Breeze Data Agent, and custom-coded actions are valuable to you.
- Your reporting layer suffers from data quality issues that show up in dashboards every Monday.
Wrong fit when
- You need an enterprise iPaaS for 50+ systems, audit logging, and platform-wide observability. Workato or MuleSoft fits better.
- Your data team owns transformations and prefers a code-first ELT pipeline (dbt + Fivetran).
- You only need basic Zapier-style triggers for 1 or 2 simple automations.
- Your existing Workato setup has 5+ years of recipes tightly coupled to non-HubSpot systems.
Where Data Hub plugs into the stack.
Data Hub is the data plumbing for HubSpot. Wired into your source systems upstream and your team’s tools downstream, it is the cleanroom that keeps everything else trustworthy.
Source systems
Salesforce, Mailchimp, NetSuite, Zoho, Stripe, Data Studio datasets, and custom databases. 100+ two-way syncs, scheduled extracts, custom mapping. Data lands in HubSpot in the shape your model expects.
Sync, quality, programmable, Data Studio
Two-way Data Sync. AI-powered Data Quality automation. Programmable automation in TypeScript or Python. Webhooks. Data Studio for external datasets. The Breeze Data Agent for research and enrichment.
Marketing + Sales + Service + Reporting
Clean data feeds Marketing Hub campaigns, Sales Hub forecasting, Service Hub health scoring, and the reporting layer leadership reads each week.
From kickoff to first clean Monday dashboard.
Six steps. Same approach used on every customer outcome above. Built to ship a working Data Hub fast, then layer the depth as the data model matures.
Audit
Three sessions with RevOps and data leadership. Source systems, data quality issues, current sync logic, dedup rules, and custom code surface area. Output: prioritized fix list with effort and impact.
Architecture
Data model, sync rules, dedup heuristics, custom property dictionary, programmable automation plan, and Breeze Data Agent surface. Designed before built. You sign off.
Build
Certified experts build in two-week sprints. 12+ programmable actions, 6+ scheduled jobs, Data Quality automation, sync rules to all source systems, and monitoring. Tested in a sandbox.
Migrate
If you’re untangling Zapier, Workato, or custom middleware, this is when the new plumbing replaces it. Cutover in stages. Old system kept running until parity is proven.
Train
One cohort: RevOps and data team. Programmable automation patterns, monitoring, and escalation paths. Recorded with role-based docs in HubSpot Knowledge Base for future hires.
Operate
30 days of weekly check-ins. We catch the issues that surface only at production volumes. Optional managed-ops retainer takes over from day 31 for continuous tuning and net-new builds.
Inside a Data Hub build.
Real deliverables, not capability bullets. Below is the full scope on a standard Data Hub Pro engagement, fixed-fee from $24,500.
Build
- ·Two-way Data Sync rules to all source systems
- ·AI-powered Data Quality automation with confidence thresholds
- ·12+ programmable actions in TypeScript or Python
- ·6+ scheduled batch jobs (cleanup, enrichment, reporting)
- ·Custom property dictionary with definitions and downstream uses
- ·Quality monitoring on critical properties with Slack alerts
Run
- ·12+ reports across data quality, sync health, and dedup outcomes
- ·3 dashboards by role (RevOps lead, data team, leadership)
- ·First clean Monday dashboard cycle with full instrumentation
- ·Escalation playbook for sync failures and data quality alerts
- ·Breeze Data Agent wired to enrichment and data-quality analysis
- ·One marquee custom integration (warehouse, ERP, billing)
Train
- ·One recorded training session for RevOps and data team
- ·Knowledge Base articles for the 12 most common questions
- ·Role-based onboarding doc for new hires
- ·Weekly 30-min check-in for first 6 weeks post-launch
Hand off
- ·Architecture document (PDF + editable)
- ·Workflow library with notes on intent and behavior
- ·Property dictionary with field definitions and downstream uses
- ·Suggested optimization roadmap for months 4-12
Reporting only works when the data underneath agrees with itself.
Dashboards are only as trustworthy as the sync and the dedup behind them. Data Hub is where we make the plumbing clean: one source of truth every team can read, so Monday’s numbers stop contradicting each other.
Fixed-fee. Tier-aware. Certified experts always.
Quickstart from $9,500. Standard Data Hub implementation from $24,500. Enterprise builds (custom code, multi-system sync, Breeze Data Agent) from $58,000. License costs separate, paid directly to HubSpot at partner-discount rates.
Things people ask.
What's the difference between Data Hub Pro and Enterprise?+
Pro covers most mid-market needs: data sync with 100+ apps, Data Quality automation, calculated properties, programmable automation, and Data Studio for connecting external datasets. Enterprise adds advanced dedup, dataset workflows, more programmable capacity, and sandbox-to-production sync. We model both against your systems on the strategy call.
How does this compare to Workato or Tray?+
Workato and Tray are excellent for cross-platform iPaaS at enterprise scale. Data Hub is purpose-built for HubSpot data quality and programmable automation tied to the CRM. Most teams under 200 employees find Data Hub sufficient. Some run both: Data Hub for HubSpot-centric flows, Workato for everything else.
What does Data Sync actually cover?+
Data Sync is 100+ real-time, two-way integrations: Salesforce, Mailchimp, NetSuite, Zoho, and many more. It keeps records aligned across systems with field mapping and conflict rules you control. We architect the sync direction and mapping so data lands in the shape your model expects.
What is the Breeze Data Agent?+
The Breeze Data Agent is HubSpot's AI agent for data work: company and contact research, enrichment, and data-quality analysis. It uses HubSpot Credits. We wire it into the build so enrichment and cleanup run continuously rather than as a manual quarterly project.
Can we keep our existing Salesforce sync?+
Yes. We typically rebuild the sync more cleanly using Data Hub's two-way rules. Migration is staged: read-only first, then write-back, then fully two-way. Same-day rollback if anything breaks.
What about programmable automation? Do you write the code?+
Yes. Certified experts write custom-coded workflow actions in TypeScript or Python as part of the standard build. Webhooks are wired where systems need to talk in real time. Code is committed to your repo, version-controlled, and documented. Your team owns it after handoff and we train you on the pattern.
Do you offer ongoing managed Data Hub admin?+
Yes. Most Data Hub clients move into a managed-ops retainer. Typical scope: monitoring, net-new programmable automation, schema evolution, and Breeze Data Agent tuning. Managed operations starts from $2,000/month depending on volume.
How do we get started?+
30-minute strategy call. We cover your source systems, where data quality breaks, and the highest-leverage move. Fixed-fee proposal within 48 hours if we are a fit.
Where this fits in the broader stack.
HubSpot Smart CRM
The shared data model Data Hub keeps clean. Get the foundation architected first.
Custom objects in HubSpot
Modeling entities that aren’t contacts, companies, or deals. Where Data Hub sync often lands.
Workflows that don’t break
Programmable and standard automation built to hold up under real volume.
HubSpot Sales Hub
Pipeline that closes, fed by the clean data Data Hub keeps flowing.
API + custom integrations
Webhooks and custom-coded actions when native sync isn’t enough.
Data Hub engagement pricing
Fixed-fee tiers from Quickstart ($9.5K) to Enterprise ($58K+).
Ready to scope a Data Hub build that scales cleanly?
30-minute strategy call. Fixed-fee proposal within 48 hours.
How INSIDEA works
