DATA AS A SERVICE
Your B2B Data. Continuously Built, Verified & Refreshed.
Stop rebuilding static lists every month. Smart Market Intel operates the data layer behind your sales, marketing and research workflows.
What is Data as a Service?
Data as a Service is an ongoing data partnership. Instead of purchasing a one-time list, you define the markets, companies, people, fields and signals you need. We build the dataset, enrich it, verify it, deliver it and refresh it according to an agreed schedule.
Think of it as an external data team — without the cost and operational overhead of building the entire function internally.
Core DaaS modules
Custom Data Build
Define your ICP, geography, industries, company size, personas, fields, and exclusion rules. We build from scratch.
- No master database filtering
- Source transparency
- Custom field definitions
- Exclusion logic
Enrichment Engine
Multi-source enrichment adding firmographics, technographics, contacts, funding, hiring, and custom signals.
- Waterfall enrichment
- Source prioritization
- Confidence scoring
- Gap analysis
Verification & QA
Multi-layer validation including email deliverability, phone connectivity, employment verification, and human review.
- Email: syntax, MX, SMTP, catch-all
- Phone: format, carrier, line type
- Employment: current role confirmation
- Human QA sample review
Business Signals
Track funding, hiring, expansion, product launches, partnerships, acquisitions, tech changes, and custom triggers.
- Real-time monitoring
- Custom signal definitions
- Evidence-based signals
- Noise filtering
Scheduled Refresh
Agreed cadence (weekly, monthly, quarterly) with change detection, net-new additions, and decayed record flagging.
- Configurable frequency
- Delta delivery
- Churn identification
- Freshness SLA
Flexible Delivery
CSV/Excel, CRM-native (SFDC, HubSpot), API/JSON, Snowflake, BigQuery, SFTP — on your schedule.
- Versioned releases
- Schema stability
- Rollback capability
- Access logs
Customer journey
DISCOVERY
Customer shares ICP + fields + geography + cadence
We align on scope, sources, verification depth, and success criteria.
DATA SPECIFICATION
Smart Market Intel creates data dictionary & acceptance criteria
Field definitions, validation rules, coverage targets, and QA benchmarks documented.
PILOT
Small sample delivered for review
25-100 records for structure, relevance, and quality validation before full build.
PRODUCTION
Full dataset built and delivered
Complete universe per spec, verified, deduplicated, and formatted.
REFRESH
Changes identified and updated on schedule
Net-new, changed, and decayed records with evidence.
REPORTING
Delivery summary, coverage metrics, QA info
Volume, field coverage, duplicates removed, verification status, notable changes.
What customers should NOT assume
- DaaS does not mean every field is guaranteed for every company.
- Data quality depends on source availability, geography, industry and field type.
- Phone and email availability varies by market and source.
- Business signals must be defined precisely; 'intent' is not an unexplained score.
- Refresh cadence should be tied to actual rate of change in the dataset.
Start with a paid pilot.
500-1,000 records, agreed fields, one delivery, and a review against your quality criteria. If it works, we move it into a recurring monthly feed. Pilot cost credited toward first subscription.
Ready for continuously refreshed data?
Send us your ICP and requirements. We'll build a sample so you can evaluate before discussing a recurring engagement.