Reports¶
DiKAS offers six report types for analyzing your revenue and operational data — from daily evaluations to annual overviews with year-over-year comparisons.
Admin → Reports
1. Revenue Report¶
Detailed revenue analysis by time period, broken down by tax rates and payment methods.
Filters¶
| Filter | Description |
|---|---|
| Time Period | From-to date |
| Article Group | Optional: Only specific article groups |
Display¶
Umsatzbericht: 01.03. – 31.03.2026
Brutto MwSt Netto
19 %: 8.345,20 € 1.332,64 € 7.012,56 €
7 %: 3.217,50 € 210,51 € 3.006,99 €
0 %: 450,00 € 0,00 € 450,00 €
────────────────────────────────────────────────
Gesamt: 12.012,70 € 1.543,15 € 10.469,55 €
Zahlungsarten:
Bar: 6.789,30 € (56,5 %)
EC-Karte: 4.123,40 € (34,3 %)
Kreditkarte: 650,00 € (5,4 %)
Kundenguthaben: 250,00 € (2,1 %)
Gutschein: 200,00 € (1,7 %)
Sonstiges:
Rabatte: 345,00 €
Trinkgeld: 189,50 €
Stornos: 4 42,30 €
Belege: 312
Included Key Figures¶
| Key Figure | Description |
|---|---|
| Gross / Net / VAT | Separated by tax rate (19%, 7%, 0%) |
| Payment Methods | Breakdown by method with percentage share |
| Discounts | Total amount of discounts granted |
| Tips | Sum of all tips |
| Voids | Count and amount |
| Receipt Count | Total number of receipts in the period |
2. Best & Worst Sellers (Article Statistics)¶
Shows the best-selling and least-selling articles — ideal for menu optimization.
Filters¶
| Filter | Description |
|---|---|
| Time Period | From-to date |
| Sort By | By quantity (bestseller) or by revenue |
| Limit | Top N articles (default: 50) |
| Article Group | Optional: Only specific groups |
Display¶
Best Sellers (Top 10):
| Rank | Article | Group | Quantity | Revenue |
|---|---|---|---|---|
| 1 | Weizen 0,5l | Bier | 234 | 982,80 € |
| 2 | Cola 0,3l | Softdrinks | 198 | 693,00 € |
| 3 | Pizza Margherita | Speisen | 156 | 1.482,00 € |
| 4 | Cappuccino | Kaffee | 134 | 469,00 € |
| 5 | Schnitzel | Speisen | 98 | 1.470,00 € |
Worst Sellers (Bottom 10):
| Rank | Article | Group | Quantity | Revenue |
|---|---|---|---|---|
| 1 | Grüner Tee | Tee | 2 | 5,60 € |
| 2 | Milchshake Vanille | Desserts | 3 | 13,50 € |
| 3 | Tonic Water | Softdrinks | 4 | 14,00 € |
Purpose: Remove worst sellers from the menu or reposition them. Place best sellers more prominently or review their margins.
3. Article Group Analysis¶
Revenue per article group with percentage share — shows which areas drive revenue.
Display¶
Warengruppen: März 2026
Getränke alkoholfrei: 3.450,00 € ████████████░░░░ (28,7 %)
Getränke Bier: 2.890,00 € ██████████░░░░░░ (24,1 %)
Speisen Hauptgericht: 3.120,00 € ███████████░░░░░ (26,0 %)
Speisen Vorspeisen: 980,00 € ████░░░░░░░░░░░░ (8,2 %)
Getränke Wein: 890,00 € ███░░░░░░░░░░░░░ (7,4 %)
Desserts: 682,70 € ██░░░░░░░░░░░░░░ (5,7 %)
4. Hourly Revenue Analysis¶
Revenue by hour of day — shows when your business generates the most revenue.
Filters¶
| Filter | Description |
|---|---|
| Time Period | From-to date |
| Weekdays | Optional: Only specific weekdays (e.g. Friday + Saturday only) |
Display¶
Stündliche Auswertung: März 2026
Stunde Bons Umsatz Anteil
8:00 5 42,50 € ░░ (0,4 %)
9:00 12 134,80 € █░ (1,1 %)
10:00 18 215,40 € ██ (1,8 %)
11:00 34 478,90 € ████ (4,0 %)
12:00 67 1.245,00 € ██████████ (10,4 %)
13:00 58 1.034,20 € █████████ (8,6 %)
14:00 23 312,00 € ███ (2,6 %)
...
18:00 45 890,00 € ████████ (7,4 %)
19:00 72 1.567,00 € ████████████ (13,0 %)
20:00 68 1.423,50 € ████████████ (11,9 %)
21:00 42 987,00 € ████████ (8,2 %)
22:00 18 345,00 € ███ (2,9 %)
Purpose: Optimize staff scheduling — more employees during peak hours, fewer during off-peak hours.
Weekday Filter: Filter e.g. only Friday and Saturday to see whether extended opening hours on weekends are worthwhile.
5. Workstation Report¶
Revenue per register/workstation — useful for businesses with multiple registers:
| Workstation | Receipts | Revenue | Share |
|---|---|---|---|
| Kasse 1 (Theke) | 145 | 4.567,00 € | 42,7% |
| Kasse 2 (Terrasse) | 98 | 3.234,50 € | 30,2% |
| Kasse 3 (Bar) | 67 | 2.890,00 € | 27,0% |
6. Financial Overview (Annual Report)¶
Comprehensive annual report with optional year-over-year comparison.
Filters¶
| Filter | Description |
|---|---|
| Year | Reporting year |
| Comparison Year | Optional: Year-over-year comparison (e.g. 2025 vs. 2024) |
Annual Key Figures¶
| Key Figure | Description |
|---|---|
| Total Revenue | Annual revenue (gross) |
| Total Costs | Sum of all expenses |
| Profit | Revenue − costs |
| Profit Margin | Profit / Revenue × 100 |
| Receipt Count | Total number of receipts in the year |
| Business Days | Number of days with revenue |
| Average/Day | Revenue / business days |
| Average/Receipt | Revenue / receipt count |
Monthly Overview¶
| Month | Revenue | Costs | Profit | Change |
|---|---|---|---|---|
| Jan | 11.234 € | 3.456 € | 7.778 € | +5,2% |
| Feb | 10.890 € | 3.210 € | 7.680 € | −1,3% |
| Mar | 12.012 € | 3.890 € | 8.122 € | +12,4% |
| ... |
The "Change" column shows the percentage difference to the comparison year (if specified).
Additional Analyses¶
| Section | Content |
|---|---|
| Revenue by Article Group | Group revenue with percentage share |
| Costs by Category | Expense categories with percentage share |
| Payment Methods Overview | Method, amount, count, percentage |
| Tax Summary | Net, tax, gross per tax rate |
| Open Items | Outstanding invoices by dunning level and due date buckets |
Open Items (Due Date Buckets)¶
| Bucket | Description |
|---|---|
| Overdue | Already past due |
| 7 Days | Due within 7 days |
| 14 Days | Due within 14 days |
| 30 Days | Due within 30 days |
| 60 Days | Due within 60 days |
| 60+ Days | Due after more than 60 days |
Loyalty Points Report¶
Under Admin → Reports → Points you will find the loyalty points program analysis:
| Key Figure | Description |
|---|---|
| Points in Circulation | Total of all unredeemed points |
| Points Earned | Points earned in the period |
| Points Redeemed | Points redeemed in the period |
| Discount Value | Monetary value of redeemed points |
Top Customers (Points)¶
| Customer | Total Points | Earned | Redeemed |
|---|---|---|---|
| Frau Weber | 342 | 187 | 45 |
| Herr Schmidt | 256 | 134 | 22 |
| Familie Müller | 198 | 98 | 50 |
Report Filters¶
All reports support these common filters:
| Filter | Description |
|---|---|
| Time Period | From-to date (required) |
| Waiter | Only specific employees |
| Payment Method | Only cash / only card / etc. |
| Article Group | Only specific article groups |
Export¶
Reports can be exported:
| Format | Description |
|---|---|
| For printing or archiving | |
| Excel | For further processing in spreadsheets |
| DATEV | Directly for the tax advisor → DATEV Export |
Practical Example: Monthly Report¶
Situation: Restaurant manager wants to analyze March 2026.
- Revenue Report (01.03.–31.03.): Total revenue 12.012,70 €, 312 receipts
- Best & Worst Sellers: Weizen is the bestseller (234×), green tea is removed (2×)
- Hourly Analysis: Peak hours 12:00–13:00 and 19:00–21:00 → schedule one more part-timer on weekends
- Article Groups: Beverages make up 60% of revenue, food 40% → review beverage margins
- Financial Overview: March +12.4% vs. previous year → terrace opening has paid off
Frequently Asked Questions¶
Can I send reports automatically by email? The DATEV export can be sent to the tax advisor by email. For other reports, use the manual export (PDF/Excel).
How far back do the reports go? Reports access all stored POS data — there is no time limit.
Are voided receipts included in the reports? Voids are shown separately. The net revenue already accounts for voids (they are subtracted).
Next Step¶
→ Settings — System configuration