Campaign metrics without a support ticket.
Ask Speedwave for the numbers you need — case study metrics, campaign attribution, product usage data — in natural language, with permission boundaries that match your role. No SQL required, no waiting for a developer to run the query.
Three obstacles between marketing teams and the data they need.
Speedwave gives marketing and analytics teams direct access to the data they are authorised to see — without a developer in the loop.
Data dependency on developers
Getting analytics data for a case study or campaign review means raising a request, waiting for developer availability, specifying the exact query, and iterating when the output is not quite right. For time-sensitive reporting, this bottleneck limits marketing's ability to move at business speed.
Inconsistent data access
Marketing teams often have permission to use certain data but no practical way to access it without technical help. Speedwave queries your data systems with role-appropriate permission boundaries — you get what you are authorised to see, nothing more.
Customer data compliance in analytics
Using customer data for marketing analytics requires documented consent, purpose limitation, and a clear audit trail of who accessed what and when. Most analytics workflows cannot produce this documentation on demand.
What Speedwave gives marketing and analytics teams.
Data access that matches your role, with the compliance trail to back it up.
Natural language data queries
"What was average deployment frequency for fintech clients in Q4?" or "Which product features had the highest adoption in the past 90 days?" — answered from your connected data systems in plain English, no SQL required.
Permission-bounded access
Speedwave queries only the data sources and fields your role is authorised to access. Access is enforced at the connector level, not by trusting the user to know what they should not query. Every query is logged.
Case study data extraction
Aggregate performance metrics — improvement percentages, time-to-deploy reductions, incident rate changes — extracted from project data without touching raw customer records. Anonymised output, attribution preserved where authorised.
PII-safe analytics
Customer names and identifiers are tokenised before reaching the model. Aggregated results are returned. Individual customer data is never exposed in a query result, even if it exists in the underlying source.
Audit trail for data use
Every query, result, and data access event logged with timestamp and user attribution. Useful for your DPO when demonstrating GDPR Art. 5 purpose limitation compliance, or when an internal review asks who accessed which customer data and why.
Ready to see it in your BFSI environment?
We will show you a live demo of marketing data queries against a realistic BFSI analytics environment in 30 minutes.