How NielsenIQ Cut Data Processing Time by 80% and Achieved 95% Report Accuracy — Mammoth
Market Research · United States

How NielsenIQ cut data processing time by 80% and achieved 95% report accuracy

Replacing manual data harmonisation across 100+ countries with automated, scalable pipelines.

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Faster processing
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Report accuracy
0%
Less manual effort
Company size
Large enterprise
Company industry
Market Research & Consulting
About the company

A global authority in audience measurement and media analytics — 100+ countries

NielsenIQ is a global authority in audience measurement and media analytics, empowering clients to understand what people watch, listen to, and buy. With operations in more than 100 countries, NielsenIQ blends data science and technology to deliver precise, actionable insights for decision-makers across every major industry.

At NielsenIQ's scale, data harmonisation is the foundation of everything. Clients across FMCG, media, and retail depend on outputs that are accurate, consistent, and fast — regardless of which country the data originates from.

The challenge

Harmonising data from hundreds of sources — manually, across 100+ countries

NielsenIQ faced a fundamental data operations challenge: insights depended on harmonising data from multiple sources simultaneously — internal databases, third-party data providers, and client feeds — each with their own formats, schemas, and update schedules.

The manual processes involved were time-consuming and error-prone. Report generation was delayed. Accuracy was inconsistent. And as the volume of data grew across more countries and clients, the gap between what the team could deliver manually and what was actually needed kept widening.

The solution

Automated harmonisation pipelines — scalable across every source, every country

Mammoth gave NielsenIQ the infrastructure to automate data harmonisation at scale — without rebuilding their tech stack:

  • Automate the harmonisation of data from internal and third-party sources across all markets
  • Standardise data formats for consistent, cross-country reporting and insights delivery
  • Reduce manual intervention in data processing — from ingestion through to final output
  • Build scalable pipelines capable of handling large, complex datasets without performance degradation
  • Enhance the speed and accuracy of report generation for clients across every sector
The outcome

80% faster. 95% accurate. 90% less manual effort.

  • 80% reduction in data processing time — scalable pipelines replacing manual workflows
  • 95% improvement in report accuracy — standardised outputs across all markets
  • 90% reduction in manual data processing effort — teams freed for higher-value analysis
  • 65% faster delivery from data ingestion to client-ready insights
  • A foundation for consistent cross-country reporting across 100+ markets

Mammoth's platform has significantly enhanced our data processing capabilities, delivering efficiency and accuracy across our operations.

Data Operations Lead
NielsenIQ
The transformation · From fragmented multi-source data to harmonised global insights
INPUTS BEFORE AFTER RESULTS INTERNAL DB 100+ country feeds CSV/JSON 3RD PARTY A Retail panel data XLSX 3RD PARTY B Media ratings API/XML 3RD PARTY C Purchase data FLAT FILE CLIENT FEEDS Custom exports MIXED MANUAL Schema conflicts Format mismatch Manual QA Errors & delays DAYS TO DELIVER MAMMOTH AUTOMATED Unified schema Standard format Auto-validated Always current HOURS TO DELIVER PROCESSING SPEED 80% faster than before REPORT ACCURACY 95% improvement MANUAL EFFORT 90% reduction DELIVERY TIME Days → Hours 65% faster end-to-end PROCESSING TIME · BEFORE VS AFTER MAMMOTH Before Days · manual · error-prone After 80% less · hours · automated · 95% accurate
Before
Manual · fragmented · 100+ country feeds
CSV/JSON XLSX API/XML FLAT FILE MIXED
Schema conflicts across sources
Format mismatch every cycle
Manual QA — error-prone
Days to deliver, not hours
Days to deliver · manual · error-prone
After
Automated · standardised · always accurate
MAMMOTH
Harmonise · Standardise · Automate
AUTOMATED OUTPUT
Unified schema · Auto-validated · Always current
PROCESSING SPEED
80%
faster than before
REPORT ACCURACY
95%
improvement
MANUAL EFFORT
90%
reduction
DELIVERY TIME
Days → Hours
65% faster end-to-end
PROCESSING TIME · BEFORE VS AFTER
Before
Days
After
Hours

The Mammoth advantage

Why Mammoth worked for NielsenIQ

Three things made the difference — and they're the same three things every data operations team at scale tells us about.

Processing speed

Manual harmonisation workflows replaced by automated pipelines. An 80% reduction in processing time means clients receive insights faster — and NielsenIQ can handle more volume without adding headcount.

Accuracy at scale

Standardised formats and automated validation mean 95% accuracy on every output — regardless of the source country or data provider. Consistent data, consistently delivered.

Operational freedom

A 90% reduction in manual effort means the data operations team spends their time on analysis, not wrangling. Mammoth handles the pipeline — they handle the insight.