Remo Data Recommendation
From raw files to actionable recommendations: digital, partnership, and retail donation dashboards fed simply by uploading files.
- Client
- Lembaga Zakat Nasional
- Industry
- Digital Donation Analytics
- Category
- Data & Analytics
- Year
- 2026
Transactions · GA4 · Search Console
Data sources
Prioritized + estimated impact
Recommendations
ROI per counter
Retail analysis
Challenge
Donation data was scattered across transaction exports, Google Analytics 4, Search Console, and counter costs. The team had to merge it manually before making decisions.
Solution
Remo detects file types automatically from their column structure, then produces prioritized recommendations with data-driven reasoning and estimated impact.
- Partner name normalization (account numbers, abbreviations, typos) via rules & mapping
- ROI per retail counter to spot loss-making counters
- Hourly donation conversion from GA4 data
All figures, names, and identities in the screenshots are sample data; client logos and personal data are masked.
Gallery
Key features of Remo Data Recommendation 
Recommendations & analysis
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