For Analytics Engineers

Data quality metrics, freshness SLAs, and stakeholder reporting for analytics engineers

As an analytics engineer, you own the quality of data that powers business decisions. AnomalyArmor helps you catch data quality issues before they reach dashboards.

Your Key Workflows

Set Freshness SLAs

Stakeholders expect data to be current. Set SLAs to get alerted when data is stale:

1. Identify Critical Tables

   Start with tables that power executive dashboards or customer-facing reports.

2. Set Freshness Expectations

   Define how often data should be updated (hourly, daily, weekly). Configure freshness

3. Route Alerts to Slack

   Get notified in your team channel when SLAs are violated. Set up Slack

Track Data Quality Metrics

Go beyond freshness. Monitor row counts, null percentages, and more:

Critical Table Monitoring:
+-- row_count: Catch unexpected data loss or growth
+-- null_percent on key columns: Detect incomplete data loads
+-- distinct_count on IDs: Identify duplicate records

Create your first metric

Report Quality to Stakeholders

Embed data quality status directly in dashboards:

# Sales Dashboard
![Data Quality](https://app.anomalyarmor.ai/badges/abc123.svg)

When the badge is green, stakeholders know the data is reliable. Set up report badges

Document Tables with AI

Use Intelligence to auto-generate descriptions for your dbt models:

from anomalyarmor import Client

client = Client()

# Generate descriptions for all columns
descriptions = client.intelligence.describe(
    "snowflake.prod.warehouse.orders"
)
# Paste into your dbt YAML files

Use Intelligence

Recommended Setup

Feature	Why You Need It
Freshness Monitoring	Set SLAs on data recency
Data Quality Metrics	Track statistical properties over time
Report Badges	Show quality status in dashboards
Slack Alerts	Get notified in your team channel

Common Tasks

Set Up Freshness SLAs

Define expected update frequency

Create Metrics

Track row counts, null percentages, and more

Embed Report Badges

Show quality status in Looker, Tableau, Notion

Object Profiles

AI-generated intelligence profiles for every table