IntermediateSITUATIONAL
Imagine you join NTT Data and a client sends you a messy Excel file with missing values, inconsistent formats, and unclear column names, asking for a clear summary in both a Power BI dashboard and a verbal presentation by the end of the day. How would you practically approach cleaning the data, validating it (possibly with SQL), building the key visuals, and structuring your communication to the client within that limited time?
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General

Sample Answer

In that situation, I’d first spend 15–20 minutes clarifying expectations: what decisions they need to make today and 3–5 core metrics they actually care about. Then I’d profile the Excel in Power Query: check row counts, nulls, distinct values, and quickly standardize formats (dates, currencies, text casing). For unclear columns, I’d add a temporary “data dictionary” sheet and make best-effort assumptions, clearly flagged. If there’s an underlying database, I’d sample 10–20% of the data in SQL to validate key joins, ranges, and totals, and reconcile against the Excel using simple aggregate queries. In Power BI, I’d focus on a lean set of visuals: one KPI card view, one trend, one breakdown (e.g., by region or product), plus a simple data-quality summary. For the presentation, I’d structure it as: 2 minutes on data limitations, 5–7 minutes on insights and implications, and 2–3 minutes on recommended next data fixes and next steps.

Keywords

Quickly clarify success criteria and priority metrics with the clientUse Power Query and SQL sampling to clean and validate under time pressureDeliver a minimal but impactful set of Power BI visuals focused on decisionsOpenly communicate data limitations and propose next steps
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