Data Analytics – Trends and Stability¶

Purpose¶

Reveal long-term trends and data stability.

Technical Features¶

Derived statistics¶

• Computes trend, volatility, seasonality.

Supported metrics¶

• Record counts
• Missing values
• Min/max, sums, averages

Time-series analysis¶

• Stability across weeks/months

Example Use Cases¶

• Identify top-selling products over a rolling 3-month period.
• Detect volatility in missing values to catch intermittent pipeline issues.
• Compare periods of high vs. low stability in KPIs.

Value¶

Turns basic statistics into actionable insights for business monitoring and data operations.