> ## 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.

# DE-8: Enrichment Specialist Capstone

> Build a production-grade data pipeline from scratch — source, clean, enrich, score, and route. Pass this and you're Data & Enrichment Specialist certified.

<Info>
  **DE-8 · Data & Enrichment · 300 XP · \~4–5 hours**
</Info>

This is the capstone for the Data & Enrichment track. Everything from DE-1 through DE-7 was building blocks. This is where you assemble them into a complete, production-ready data pipeline.

What you submit will be reviewed by the Bitscale team. Passing submissions earn the **Data & Enrichment Specialist** certification.

***

## What You're Building

A complete data pipeline for a target market of your choosing. It must include:

1. **Data source documentation** — which sources you used and why
2. **Source grid** — 75+ contacts from your chosen ICP
3. **Cleaning layer** — all 5 cleaning operations from DE-3
4. **Waterfall enrichment** — 3-provider waterfall with master email + confidence score
5. **Company intelligence layer** — firmographics, funding stage, tech stack, recent activity
6. **Contact scoring** — fit score, timing score, composite score, priority tier
7. **Intent signal layer** — first-party or third-party intent routing
8. **Sequence routing** — each contact routed to the appropriate outreach tier
9. **Pipeline documentation** — a 2-page brief explaining the full pipeline

***

## Build Instructions

### Step 1: Define your target market (30 min)

Write a one-paragraph definition:

* ICP (industry, company size, persona)
* Why this market? What problem does Bitscale solve for them?
* What signals indicate they're in-market now?

### Step 2: Source your contacts (45 min)

Build a grid with 75+ contacts from your defined ICP. Document:

* Which sources you used
* Any filters applied (industry, size, title)
* Starting data quality issues observed

### Step 3: Apply the cleaning layer (45 min)

Run all cleaning columns from DE-3:

* Name normalization
* Title standardization
* Company normalization
* Email format validation
* Duplicate detection
* Data quality score

Document the number of records flagged at each stage.

### Step 4: Waterfall enrichment (45 min)

Build the 3-provider waterfall from DE-2:

* Provider A → Provider B → Provider C
* Master email column
* Email confidence column
* Source attribution

Document fill rates by provider and overall.

### Step 5: Company intelligence (60 min)

For all 75+ companies, enrich:

* Firmographics (industry, size, HQ)
* Funding stage + timing signal
* Tech stack (3+ categories)
* Recent activity summary
* ICP fit classification

### Step 6: Scoring model (30 min)

Apply the scoring model from DE-5:

* Fit score
* Timing score
* Composite score
* Priority tier (1–4)

### Step 7: Intent layer (30 min)

Apply intent routing from DE-7:

* Use your recent activity data as a proxy for intent if you don't have a dedicated intent feed
* Intent routing column
* Combined fit × intent priority

### Step 8: Sequence routing (15 min)

Final routing column:

* high\_priority\_multichannel (Tier 1)
* standard\_sequence (Tier 2)
* nurture (Tier 3)
* no\_action (Tier 4)

Document the distribution: how many contacts in each tier?

### Step 9: Pipeline documentation (45 min)

Write a 2-page brief:

* ICP definition and rationale
* Source methodology and data quality observations
* Waterfall design and fill rate results
* Scoring model explanation and calibration plan
* Intent activation strategy
* What you'd do in Week 1 with this pipeline

***

## Submission Checklist

* [ ] 75+ contacts in source grid
* [ ] All 5 cleaning columns with data quality scores
* [ ] 3-provider waterfall with fill rate documentation
* [ ] Company intelligence layer (all 5 categories)
* [ ] Fit + timing + composite scoring columns
* [ ] Intent routing column
* [ ] Final sequence routing column with tier distribution
* [ ] 2-page pipeline documentation
* [ ] Grid is shareable
* [ ] CSV export attached

***

## Evaluation Criteria

| Criterion                                           | Weight |
| --------------------------------------------------- | ------ |
| Data quality: cleaning thoroughness                 | 15%    |
| Enrichment depth: company intelligence completeness | 20%    |
| Scoring model: logic and calibration plan           | 20%    |
| Waterfall design: coverage and credit efficiency    | 15%    |
| Intent activation: signal quality and routing logic | 15%    |
| Documentation: clarity and reproducibility          | 15%    |

Passing score: 70%. One re-submission allowed with feedback.

***

## Certification: Data & Enrichment Specialist

Pass this capstone to earn the **Data & Enrichment Specialist** certification:

* Accredible-verified badge
* LinkedIn-shareable
* Confirms ability to build production-grade enrichment pipelines

<Card title="Submit DE-8 Capstone →" icon="trophy" href="https://bitscale.fillout.com/academy-challenge-de8">
  Submit grid link + CSV + pipeline documentation. **+300 XP on approval. Certification unlocked.**
</Card>

***

<Card title="Next Track: Signal Intelligence →" icon="arrow-right" href="/academy/signal-intelligence/overview">
  You've built the data foundation. Signal Intelligence is where you learn to detect and act on the triggers that tell you exactly when to reach out.
</Card>