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Synevyr Data Cleaning Pipeline

2025-08-17

TL;DR

Synevyr automatically cleans and standardizes raw marketing, customer, and e-commerce data into a daily metrics layer.
This ensures accuracy, comparability across platforms, and readiness for analysis or machine learning.

What Is the Data Cleaning Pipeline?

The Data Cleaning Pipeline is the foundation of the Synevyr analytics platform.
It transforms raw records from advertising platforms, CRM systems, and e-commerce stores into structured, reliable datasets.

Goals:

  • Remove inconsistencies in formatting and time zones
  • Normalize labels across different sources
  • Handle missing or malformed fields gracefully
  • Aggregate activity into daily snapshots for each channel

The result is a single source of truth for evaluating marketing performance.

Key Steps in Cleaning

  1. Standardization

    • Converts currencies into a consistent format (e.g., dollars and cents)
    • Aligns timestamps into UTC for comparability across regions

  2. Normalization

    • Maps platform-specific labels (e.g., “FB Ads,” “Meta,” “Instagram”) into unified source categories
    • Ensures customer IDs and order references match across systems

  3. Validation

    • Filters out incomplete or corrupted records
    • Cross-checks that totals (e.g., ad spend, order revenue) align with raw platform reports

  4. Aggregation

    • Buckets events into daily summaries per user and channel
    • Tracks leads, conversions, churn events, revenue, and spend

Why It Matters

Clean data is essential for:

  • Accurate ROI measurement across marketing channels
  • Comparing platforms fairly (Meta Ads vs. Google vs. WooCommerce)
  • Detecting churn and retention trends at the source level
  • Preparing for predictive analytics (e.g., churn modeling, customer lifetime value forecasting)

By handling the messy backend work, Synevyr ensures that dashboards and models are powered by trustworthy, consistent data.

Governance & Reliability

  • Privacy: Uses only de-identified, synthetic, or customer-authorized data.
  • Reliability: Automated checks confirm data loads and totals match source systems.
  • Scalability: Designed to handle growing volumes of marketing and transaction records.

📩 Need Help?

Questions about Synevyr’s data pipeline?
Email info@carpathian.ai for details.