Cracking Nielsen’s ETL: From 20 Days to 3
About the role
EXHIBIT D
the receipts
EXHIBIT D
the receipts
Work/Cracking Nielsen’s ETL: From 20 Days to 3
P&G Canada
Cracking Nielsen’s ETL: From 20 Days to 3
Rebuilt P&G Canada’s Nielsen POS pipeline so analysts walked into Walmart reviews with fresher market data than the retailer’s own buyers.
Founder's track record 20 → 3 days of ETL time
Book a 30-min strategy call Read the case ↓
Founder’s track record
built while at P&G Canada. The in-house operator experience Clarivant is built on.
The starting point
Nielsen POS data was the lifeblood of category management at P&G Canada — and its UI extraction took up to 20 days when it worked at all. Timeouts and session failures meant analysts babysat extractions a third of their week, and the data reached sales and planning two or three weeks stale.
The method
I bypassed the UI entirely: reverse-engineered Nielsen’s backend database, opened a direct ODBC connection their tooling didn’t document, and built automated KNIME pipelines on scheduled VMs. Retry logic, row-count checks, and checksum comparisons recovered failures and caught retroactive updates automatically — and the output dropped straight into P&G’s reporting templates, killing a full day of reformatting.
The result
The SLA fell from 20 days to 3 — an 85% cut in data latency. Category managers walked into Walmart reviews with data fresher than the retailer’s own buyers had, contributing to P&G winning Category Captaincy in Oral, Feminine, and Baby Care and roughly $5M in annual POS uplift. The pipeline ran for years afterward as invisible infrastructure.
“Arturo rapidly learned new technologies and applied them to business problems — redesigned our bulk data extraction to be 10× faster within two months, then enabled others to scale the approach.”
Aamir Mohatarem Senior Manager Business Analytics, Procter & Gamble ✓ quoted verbatim
← All case studies Next case: Automated Replenishment Reports Saved 120+ Hours Monthly →
SIGNATURE PAGE
countersign this file
Want a verdict like this on yours?
The call is direct with the founder. We take the engagements we can lead end to end — yours might be one we say yes to.
Book the call — and we'll defend these numbers on the record.
20 → 3 days of ETL time
Book a 30-min strategy call signed.
Direct with the founder. No pitch. Bring your messiest data question.
Not ready to book? Write to us: hello@clarivant.ai A straight answer within one business day. Or read the questions buyers ask us →
About Clarivant
Clarivant helps mid-market companies turn fragmented data into competitive advantage.
We combine enterprise-proven frameworks with founder-designed methods to deliver measurable ROI in months, not years. Unlike large consultancies, you get senior experts from day one—no bait-and-switch with junior teams.
WHAT WE DO
We transform disconnected spreadsheets and manual reporting into automated, trustworthy data foundations that accelerate confident decision-making.
Our solutions are built on modern data stacks (Snowflake, dbt, Fivetran) and tailored to your business—whether you're optimizing supply chains, reducing churn, improving margins, or scaling operations.
WHO WE SERVE
Mid-market companies ($100M–$1B+ revenue) in:
- E-commerce & Retail
- Manufacturing & Supply Chain
- SaaS & Technology
- Financial Services
- Consumer Goods (CPG)
We work with CFOs, COOs, and CDOs who need to prove ROI on data initiatives and make their organizations faster and smarter.
WHY CLARIVANT
✓ Founder-designed playbooks ensure rigor, speed, and accountability ✓ Global-scale expertise from companies like eBay and P&G ✓ Measurable outcomes tied to your business metrics ✓ Senior-led delivery from day one ✓ ROI in 3-6 months, not years
PROVEN RESULTS
- 606% Year 1 ROI on modern data stack migration (Cybersecurity SaaS)
- $13.8M incremental sales through marketing optimization (CPG)
- Semantic layer implementation delivering real-time insights (QSR)
Based in Monterrey, Mexico | Serving US, Mexico, LATAM, Europe
Similar Jobs
Cracking Nielsen’s ETL: From 20 Days to 3
About the role
EXHIBIT D
the receipts
EXHIBIT D
the receipts
Work/Cracking Nielsen’s ETL: From 20 Days to 3
P&G Canada
Cracking Nielsen’s ETL: From 20 Days to 3
Rebuilt P&G Canada’s Nielsen POS pipeline so analysts walked into Walmart reviews with fresher market data than the retailer’s own buyers.
Founder's track record 20 → 3 days of ETL time
Book a 30-min strategy call Read the case ↓
Founder’s track record
built while at P&G Canada. The in-house operator experience Clarivant is built on.
The starting point
Nielsen POS data was the lifeblood of category management at P&G Canada — and its UI extraction took up to 20 days when it worked at all. Timeouts and session failures meant analysts babysat extractions a third of their week, and the data reached sales and planning two or three weeks stale.
The method
I bypassed the UI entirely: reverse-engineered Nielsen’s backend database, opened a direct ODBC connection their tooling didn’t document, and built automated KNIME pipelines on scheduled VMs. Retry logic, row-count checks, and checksum comparisons recovered failures and caught retroactive updates automatically — and the output dropped straight into P&G’s reporting templates, killing a full day of reformatting.
The result
The SLA fell from 20 days to 3 — an 85% cut in data latency. Category managers walked into Walmart reviews with data fresher than the retailer’s own buyers had, contributing to P&G winning Category Captaincy in Oral, Feminine, and Baby Care and roughly $5M in annual POS uplift. The pipeline ran for years afterward as invisible infrastructure.
“Arturo rapidly learned new technologies and applied them to business problems — redesigned our bulk data extraction to be 10× faster within two months, then enabled others to scale the approach.”
Aamir Mohatarem Senior Manager Business Analytics, Procter & Gamble ✓ quoted verbatim
← All case studies Next case: Automated Replenishment Reports Saved 120+ Hours Monthly →
SIGNATURE PAGE
countersign this file
Want a verdict like this on yours?
The call is direct with the founder. We take the engagements we can lead end to end — yours might be one we say yes to.
Book the call — and we'll defend these numbers on the record.
20 → 3 days of ETL time
Book a 30-min strategy call signed.
Direct with the founder. No pitch. Bring your messiest data question.
Not ready to book? Write to us: hello@clarivant.ai A straight answer within one business day. Or read the questions buyers ask us →
About Clarivant
Clarivant helps mid-market companies turn fragmented data into competitive advantage.
We combine enterprise-proven frameworks with founder-designed methods to deliver measurable ROI in months, not years. Unlike large consultancies, you get senior experts from day one—no bait-and-switch with junior teams.
WHAT WE DO
We transform disconnected spreadsheets and manual reporting into automated, trustworthy data foundations that accelerate confident decision-making.
Our solutions are built on modern data stacks (Snowflake, dbt, Fivetran) and tailored to your business—whether you're optimizing supply chains, reducing churn, improving margins, or scaling operations.
WHO WE SERVE
Mid-market companies ($100M–$1B+ revenue) in:
- E-commerce & Retail
- Manufacturing & Supply Chain
- SaaS & Technology
- Financial Services
- Consumer Goods (CPG)
We work with CFOs, COOs, and CDOs who need to prove ROI on data initiatives and make their organizations faster and smarter.
WHY CLARIVANT
✓ Founder-designed playbooks ensure rigor, speed, and accountability ✓ Global-scale expertise from companies like eBay and P&G ✓ Measurable outcomes tied to your business metrics ✓ Senior-led delivery from day one ✓ ROI in 3-6 months, not years
PROVEN RESULTS
- 606% Year 1 ROI on modern data stack migration (Cybersecurity SaaS)
- $13.8M incremental sales through marketing optimization (CPG)
- Semantic layer implementation delivering real-time insights (QSR)
Based in Monterrey, Mexico | Serving US, Mexico, LATAM, Europe