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Data Whisperer

Ask your data anything

Unlock insights trapped in spreadsheets, CRMs, and databases. We build a unified analytics layer that lets you ask questions in plain English: "What were Q3 sales by region?" or "Which customers are at risk of churning?"

No more waiting for reports. No more digging through dashboards. Just answers — with AI-powered anomaly detection and predictive forecasting built in.

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Quick Facts

Investment

$10,000 - $15,000

Timeline

60 days

ROI Target

80% faster reporting

Ideal For

SMBs with scattered dataOperations-heavy businessesData-driven decision makersMulti-location businesses

What's Included

Everything you need for a successful implementation — no hidden costs.

Unified dashboard pulling from 5-10 data sources (CRM, finance, marketing, operations)
AI-powered natural language query interface
Automated anomaly detection and alerts
Predictive analytics for revenue forecasting
Automated reporting (weekly exec summaries, monthly board reports)
Real-time mobile dashboard for executives
Data governance and access controls
Historical trend analysis

Success Metrics

We measure success with clear, trackable KPIs.

80%
Report creation time reduction
100%
Data accessibility increase
3-5
Hours saved per manager weekly
20-30%
Forecast accuracy improvement

Tech Stack

We use industry-leading tools configured for your specific needs.

Data Warehouse

SnowflakeBigQueryRedshift

ETL

FivetranAirbyteCustom Python

Transformation

dbt (data build tool)

Visualization

Power BITableauLooker

AI Layer

OpenAI API for natural language queries

Backend

Python (FastAPI)Node.js

Deliverables

What you'll have when we're done.

  • Unified data warehouse
  • ETL pipelines for all data sources
  • Interactive dashboards
  • Natural language query interface
  • Automated reports
  • Mobile executive dashboard
  • Data governance documentation
  • Training for stakeholders

Implementation Timeline

60 days from kickoff to go-live. Here's how we get there.

Week 1-2

  • Audit data sources
  • Map KPIs and metrics
  • Define reporting requirements
  • Data quality assessment

Week 3-5

  • Set up data warehouse
  • Build ETL pipelines
  • Data transformation with dbt
  • Data modeling

Week 6-7

  • Build dashboards
  • Integrate AI query layer
  • Automated report configuration
  • Mobile dashboard setup

Week 8

  • Training and documentation
  • Data governance policies
  • Handoff and go-live
  • Optimization period

Ready to Get Started with Data Whisperer?

Book a free consultation to discuss your specific needs and see if this package is the right fit.

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