Case StudiesCPG Practice
01CPG · Data Engineering · AI
Scalable & Automated Data Foundation with a Unified Data View via Reusable Modules
DataInc.ai engineered a cloud-native, reusable data foundation that harmonizes 50+ marketing data sources — applying AI auto-tagging and multi-layer validation to deliver a unified data perspective across media, trade, and consumer promo.
50+ Data SourcesAI Auto-TaggingData HarmonizationValidation FrameworkCloud-NativeReusable Modules
01
Core Capabilities
Ingestion & Data Harmonization
Data Sources
Paid MediaTradeCRMConsumer PromoMarTech
↓
Integration Layer
Staging ZoneADL 2.0
↓
Output
Harmonized Data PlatformEnterprise Data Warehouse
Enabling Automation & data harmonization of over 50 Data Sources with diverse Integration Patterns to establish a Unified Data Perspective across all marketing channels.
AI-Backed Auto Tagging
Input
Raw Campaign DataUnstructured Naming
↓
Mapping Automation
AI Parsing EngineFeedback Loop ↻
↓
Output
Managed Media Data StoreFinal Dataset
Product, Campaign name, objective, type, and placement mapping automated via AI and a continuous feedback loop — eliminating manual campaign taxonomy management.
Validation Framework
Input Layer
Raw Pipeline Data
↓
Validation Checks
Column NamesValuesSequencesRow Count
↓
Reconciliation
Pass ✓Flag ✗
↓
Validated Output
Implemented data flow checks across all processing layers — including validation of column names, values, sequences, and record count — ensuring 100% data integrity at every stage.
02
Solution Architecture
Data Sources · 50+ Integrations
Paid Media
Google Ads / DV360
Meta / TikTok
Amazon Ads
Trade & Promo
Retailer Co-op
Consumer Promo
Shopper Marketing
CRM & MarTech
Email / Push
CDP Events
Loyalty Data
Syndicated
Nielsen / IRI
Panel Data
Brand Tracking
↓ Ingestion
↓ Ingestion
↓ Ingestion
↓ Ingestion
Processing & Harmonization Layer
Staging & Harmonization
Schema normalization
Taxonomy mapping (Golden Taxonomy)
Deduplication & merge logic
AI Auto-Tagging Engine
Brand / Sub-Brand classification
Campaign objective parsing
Placement & creative tagging
Validation & QA
Column-level integrity checks
Cross-source reconciliation
Anomaly & null detection
↓ Output
Unified Data Platform · Enterprise Data Warehouse
MMM Inputs
Media + Trade + Promo
NNS / MAC aligned
MTA / AdOps
Impression-level grain
Attribution-ready
MROI Planning
BI-ready aggregates
Near real-time refresh
Brand Tracking
Awareness + Health KPIs
Syndicated integration
Governance Layer · Always-On
Monitoring
Pipeline observability
Data Quality
Rule-based checks
Metadata & Lineage
End-to-end traceability
Security
Access control + encryption
Data Lifecycle
Retention & archival policies
03
Impact
20→1
Analyst-days reduced for campaign mapping — from 20 to just 1 AD
~75%
Of campaigns auto-tagged with zero manual intervention
100%
Error-free data movement across all validated pipeline layers
50+
Data sources harmonized via reusable, scalable pipeline modules
Unified data perspective established across media, trade, and consumer promo — eliminating siloed reporting
Reusable modular architecture enables faster onboarding of new markets, brands, and data sources
AI-powered feedback loop continuously improves tagging accuracy with each campaign cycle
Automated validation framework prevents data quality issues from propagating into MMM and MROI models
Cloud-native foundation scales to support ~20 brands and ~80+ entities across 12 markets in zone AOA
Governance layer provides full data lineage, access control, and lifecycle management across all pipeline stages
About DataInc.ai
DataInc.ai is the marketing data reliability platform built for enterprise teams with $5M+ in annual media spend. We monitor measurement pipelines across connectors, mapping, taxonomy, observability, and alerting — eliminating data risk before it impacts decisions.
Proprietary & Confidential · CPG Practice · 2025