Datama review
Driver-based variance analysis for FP&A teams working across spreadsheets and BI.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Datama is a performance-analytics product for finance and FP&A teams that need to explain why KPIs changed, especially across business segments and scenarios. Its Compare, Detect, Assess, Pivot and Journey capabilities support variance analysis, anomaly investigation, A/B-test analysis and customer-journey work. The Google Sheets add-on brings budget-versus-actual and forecast variance analysis into shared workbooks, while the web app and integrations connect analysis to BI, spreadsheet and AI tools. It is aimed at mid-market and enterprise teams with analytical needs beyond basic spreadsheet budgeting.
The depth of the analysis is the main distinction. Datama decomposes KPI changes into mix, volume, price and rate drivers, presents period or scenario shifts in waterfall charts, and can surface anomalies with driver explanations. Pivot analysis helps locate stronger and weaker segments, while A/B-test analysis includes statistical significance and early stopping. In Google Sheets, results recalculate when cells, filters or segments change. That breadth suits teams investigating causes rather than simply tracking actuals against a budget; teams that only need straightforward planning may find a simpler finance tool a closer fit.
Datama works with Power BI, Tableau, Looker Studio, Qlik, Excel, PowerPoint and Google Sheets, and offers an AI skill for deterministic analysis in Claude, ChatGPT and agent frameworks. According to the vendor's published notes, a 7-day full Google Sheets trial is available without a card, while paid access is handled through contact with sales rather than published plan prices. The product supports cloud and self-hosted deployment, with GDPR listed as a compliance posture and email and documentation as support channels. FP&A teams seeking detailed variance explanations across their existing analytics stack should consider it; buyers prioritizing transparent self-serve pricing or basic budgeting should look elsewhere.
Datama pros and cons
- Where it wins
- Breaks KPI variance into mix, volume, price and rate drivers
- Google Sheets add-on recalculates as cells, filters or segments change
- Combines waterfalls, anomaly detection, pivots and A/B-test analysis
- Where it doesn't
- Paid pricing is contact-sales rather than self-serve
- No free plan; the Google Sheets trial lasts 7 days
- Its analysis focus may exceed the needs of teams seeking simple budgeting
Datama fact sheet, pricing and score →
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