Executive KPI Dashboard & Data Model Demo
Explore how raw retail transactions are cleaned, structured into automated data models, and surfaced as actionable executive metrics. All figures are demonstration sample data.
Revenue Trajectory
Monthly gross sales trendline across combined retail operations
Operating Expense Distribution
Categorized operational cost percentages
Top Selling Menu Items
Volume ranking by units sold during selected period
Revenue by Store Location
MG Road Flagship vs Sector 14 Branch performance
Direct Sample Data & Cleansing Audit Log
Inspect actual data rows extracted from our demonstration workbooks directly in your browser.
| Order ID | Customer Name | Product | Category | Qty | Unit Price | Revenue | Date | Branch | Status |
|---|---|---|---|---|---|---|---|---|---|
| #ORD-1068 | Sarah Baker | Cold Brew Reserve | Beverages | 2 | ₹180 | ₹360 | 24 Jun 2026 | MG Road | Reconciled |
| #ORD-1069 | Rohan Gupta | Almond Croissant | Bakery | 1 | ₹165 | ₹165 | 24 Jun 2026 | Sector 14 | Reconciled |
| #ORD-1070 | Priya Nair | Oat Milk Latte | Beverages | 2 | ₹195 | ₹390 | 23 Jun 2026 | MG Road | Reconciled |
| #ORD-1071 | Amit Verma | Avocado Sourdough Toast | Food | 1 | ₹260 | ₹260 | 23 Jun 2026 | Sector 14 | Reconciled |
| #ORD-1072 | Neha Saxena | Matcha Espresso Fusion | Beverages | 1 | ₹210 | ₹210 | 22 Jun 2026 | MG Road | Reconciled |
| #ORD-1073 | Daniel Baker | Signature Coffee Beans 250g | Merchandise | 2 | ₹450 | ₹900 | 21 Jun 2026 | MG Road | Reconciled |
| Audit Rule Check | Anomaly in Raw Input | Automated Correction Applied | Business Impact | Audit Result |
|---|---|---|---|---|
| Duplicate Transaction Check | 14 duplicate records found with identical order & timestamp | Deduplicated based on unique transaction hash | Prevented ₹52,400 artificial revenue overstatement | Corrected & Verified |
| Inconsistent Text Normalization | Customer names in mixed case ('sarah baker', 'SARAH BAKER') | Standardized to Title Case and merged customer entities | Accurate unique customer counts and repeat order tracking | Normalized |
| Missing Category Imputation | 28 rows missing product category classifications | Mapped to catalog dictionary via SKU / item lookups | Accurate product mix doughnut breakdowns | Imputed |
| Date Format Standardization | Mixed formats ('24/06/2026', '2026-06-24', 'Jun 24 26') | ISO standard date format parsing (YYYY-MM-DD) | Flawless monthly & daily time-series aggregation | Unified |
| Formula Integrity Verification | Manual hardcoded sum totals in previous export | Converted to dynamic relational formulas | Zero human calculation errors on subsequent refreshes | Automated |
| Customer Segment | Recency Score | Frequency | Monetary Value | Segment Size | Recommended Marketing Action |
|---|---|---|---|---|---|
| Champions | < 7 days | 6+ orders / mo | ₹3,500+ | 18% of base (142 customers) | Early access to seasonal menu; referral incentive program |
| Loyal Regulars | < 14 days | 3–5 orders / mo | ₹1,800–₹3,400 | 34% of base (268 customers) | Loyalty punch card rewards; bundled pastry upsells |
| At Risk / Drifting | 30–60 days | 2–3 orders total | ₹800–₹1,500 | 26% of base (205 customers) | Automated WhatsApp win-back discount voucher |
| Lost / Dormant | > 60 days | 1 order | < ₹400 | 22% of base (174 customers) | Re-engagement survey to identify store experience issues |
Inspect verified deliverable workbooks online.
Every Coreytics client engagement includes fully documented, open-format Excel and Google Sheets data models with live calculations, zero hardcoded values, and complete client ownership — viewable directly in your browser without downloads.
Raw-to-Clean Data Project Workbook
Demonstrates how messy multi-source exports are transformed. Includes 4 interconnected sheets: Raw Data (unprocessed with errors), Cleaned Data (deduplicated & normalized), Audit Report (reconciliation rules log), and KPI Dashboard.
- ✓ Live calculations & standardized schemas
- ✓ Data quality & audit reconciliation log
- ✓ Cleaned transaction database & summary pivot metrics
RFM & Cohort Retention Analysis Workbook
Professional customer lifecycle segmentation and retention modeling. Includes 4 sheets: Transactions Data, RFM Analysis, Cohort Retention Heatmap, and Executive Dashboard with cohort month-offset tracking.
- ✓ Automated RFM percentile score calculations
- ✓ Month-by-month retention matrix with conditional heatmaps
- ✓ Customer lifetime value & churn indicators