How I Approach Analytics Problems

This page explains how I think when solving business problems using data. It is designed to answer how I analyze, not just what tools I use.

1. Clarify the Business Goal

I first translate vague requirements into measurable objectives (e.g. reduce delay, optimize cost, improve utilization).

2. Identify Controllable Metrics

I focus on metrics teams can actually influence — not vanity KPIs.

3. Validate Data Quality

Before analysis, I assess missing values, outliers, and data consistency.

4. Analyze Bottlenecks

I isolate where time, cost, or inefficiency accumulates disproportionately.

5. Recommend Actions

Every insight is paired with a decision or operational recommendation.

6. Measure Impact

Success is defined by change in KPIs — not dashboard completion.