> ## Documentation Index > Fetch the complete documentation index at: https://docs.bitscale.ai/llms.txt > Use this file to discover all available pages before exploring further. # Data & Enrichment Track > Your outbound is only as good as your data. This track teaches you to find, clean, enrich, and score data at scale — so every row in your grid has context, not just a name and an email. # Data & Enrichment Track Outbound Automation was the delivery system. Data & Enrichment is the intelligence layer that makes everything it delivers actually relevant. Bad data costs more than people think. A rep spending 20 minutes researching a prospect before a call that never should have been made is a real cost — it's just distributed and invisible. At scale, bad data means wasted enrichment credits, burned sender reputation on wrong-fit prospects, and sequences that perform poorly because they're targeting the wrong people. This track fixes the intelligence layer. ## What You'll Learn | Module | Topic | XP | | --------------- | ---------------------- | -------------- | | DE-1 | Data Sources & Signals | 100 XP | | DE-2 | Waterfall Enrichment | 125 XP | | DE-3 | Data Cleaning at Scale | 100 XP | | DE-4 | Company Intelligence | 125 XP | | DE-5 | Contact Scoring | 125 XP | | DE-6 | Technographic Data | 100 XP | | DE-7 | Intent Data | 125 XP | | DE-8 | Enrichment Capstone | 300 XP | | **Track Total** | | **\~1,000 XP** | ## Track Prerequisites Complete the GTM Foundation track before starting here. Familiarity with Bitscale grids is assumed — you should already know how to build columns and run AI enrichment from the Foundation modules. ## Certification Complete all 8 modules including the capstone to unlock the **Data & Enrichment Specialist** certification — an Accredible-verified badge that demonstrates your ability to build production-grade data pipelines. Learn where data actually comes from and which signals are worth pursuing.