Answers, not tickets
Business users ask questions in plain language and get answers in seconds, instead of waiting in an analyst queue.
Talk to Data
Give teams a governed, conversational way to ask questions of their business data.
Talk to Data is a packaged consulting capability that SMPLCTY designs and implements inside your governed environment — using your data, your business definitions, your permissions, and your workflows.
People ask questions in plain language and receive answers grounded in approved sources, with the evidence and recommended next step attached.
Question
“Which regions experienced the largest decline in conversion last month?”
Answer
Northeast and Mid-Atlantic experienced the largest declines in governed conversion.
- Northeast
- -6.8 pts
- Mid-Atlantic
- -5.4 pts
- Southeast
- -1.2 pts
- West
- +0.8 pts
Likely drivers
- Lower qualified traffic-18% MoM in both regions
- Slower lead follow-upMedian response 31h → 46h
Recommended next step
Review lead-response time in these regions before changing media allocation.
View driversOpen sourceAsk a follow-up
- Sources
- CRM opportunity data · Marketing warehouse
- Last refresh
- Today, 05:00 ET
- Confidence
- High for trend direction; regional drivers are directional
- Owner
- Revenue Operations
- Human approval
- Leader reviews before budget or process changes
- Limitations
- Governed conversion definition v3.2 · excludes partner-sourced pipeline
Illustrative example using representative data.
What changes
Faster answers. Shared numbers. Accountable decisions.
The point is not the chat interface — it is what stops happening: report queues, conflicting numbers, and decisions made on stale exports.
One shared definition
Every answer uses the organization's approved metrics and business logic — the same numbers leadership already trusts.
Evidence with every answer
Responses carry their sources, definitions, and reasoning, so users can verify before they act.
Decisions stay human
The system recommends; accountable people decide. Nothing changes budgets, plans, or customers without approval.
Example questions
What users can ask.
Natural questions, answered from the organization's approved data and metrics rather than from an ungoverned model.
- “Which regions had the biggest decline in conversion last month?”
- “What are the three biggest drivers of pipeline leakage?”
- “Which portfolio projects are using the most resources relative to expected value?”
- “Which customer segments show the highest risk of churn?”
Under the surface
What SMPLCTY implements.
A scoped implementation inside your environment — designed, built, validated, and handed over with your team able to run it.
Data connections
Connectors into your warehouse, CRM, ERP, and operational systems — where your data already lives.
Semantic & business layer
Your terminology, hierarchies, and business rules encoded so questions map to real business concepts.
Governed measures
A certified metric library with definitions, formulas, owners, and targets — no improvised calculations.
Conversational & retrieval logic
Question interpretation and retrieval tuned to your metric layer, not a generic model guessing at raw tables.
Permissions
Role- and row-level access enforced at query time; users only see what they are authorized to see.
Source traceability
Every answer links back to its metric definition, data sources, and lineage.
Validation
Answers are tested against known results before go-live, with acceptance criteria agreed with your team.
Monitoring
Usage, accuracy, and drift tracked after launch so the capability stays trustworthy over time.
Workflow integration
Answers and recommended actions connect to the tools and routines where decisions actually happen.
Governed measure
Conversion Rate
Share of qualified opportunities that reach closed-won within the sales period, using the certified definition agreed by Sales and Finance.
- Actual
- 21.6%
- Target
- 24.0%
- Formula
- Closed-won opportunities ÷ Qualified opportunities, per period and region
- Owner
- Revenue Operations Lead
- System of record
- CRM — opportunity object
- Refresh
- Daily, 05:00 ET
- Data quality
- High · CRM and warehouse reconciled weekly
- Lineage
- Governed conversion definition v3.2 · documented in the metric catalogue
Illustrative example using representative data.
Answers come from measures like this one — defined, owned, and refreshed on a schedule — not from calculations improvised at question time.
Traceability
Every answer can be traced back to its source.
Business users need confidence in the answers they act on. Talk to Data connects every response to the underlying metric definition, data source, and analytical logic — so teams can verify, refine, and sustain the answers over time.
- Metric definitions and ownership
- Data lineage and source mapping
- Access controls and auditability
- Model version and confidence indicators
See how Talk to Data fits your organization.
Talk with a senior practitioner about the questions your teams ask most, and what it would take to answer them inside your governed environment.