Spreadsheets
Agree file templates, owners, and a controlled intake location; preserve a copy of each source file.
Validate required columns, data types, and duplicate rows before accepting a file.
IDEAS YOU CAN INTERACT WITH
See the data.
Explore the thinking.
A closer look at useful reporting and dependable data. Explore an example for each service, change the assumptions, and follow the logic.
These are demonstrations using synthetic data, not live client systems or verified client results.
DEMONSTRATION / 01
Business Performance Dashboard
A clearer picture of revenue, costs, and the patterns behind performance.
Interactive demonstration using synthetic data.
Try it: Change the period or category to compare revenue, costs, margin, and orders.
Read the result: The metrics, chart, and table describe the same selection. They show patterns, not the causes behind them.
a /
SYNTHETIC DATA · 2025Performance overview
Revenue$806,600USD · selected period
Costs$495,800USD · selected period
Profit margin38.5%Profit ÷ revenue
Order volume6,676Orders · selected period
Revenue & costs over time
Monthly totals · USD
RevenueCosts
READING THIS VIEW
January 2025 – December 2025: $806,600 in revenue across 6,676 orders, with $310,800 in profit and a 38.5% profit margin. Products contributed the most revenue in this selection. These sample patterns describe the data; they do not establish why performance changed.
| Category | Revenue (USD) | Costs (USD) | Profit (USD) | Margin | Orders |
|---|---|---|---|---|---|
| Products | $345,300 | $235,300 | $110,000 | 31.9% | 3,453 |
| Services | $263,800 | $160,400 | $103,400 | 39.2% | 753 |
| Subscriptions | $197,500 | $100,100 | $97,400 | 49.3% | 2,470 |
| Total | $806,600 | $495,800 | $310,800 | 38.5% | 6,676 |
View monthly chart data
| Month | Revenue | Costs | Orders |
|---|---|---|---|
| January 2025 | $47,500 | $31,200 | 388 |
| February 2025 | $51,000 | $32,900 | 415 |
| March 2025 | $55,100 | $34,500 | 452 |
| April 2025 | $56,200 | $36,200 | 456 |
| May 2025 | $62,400 | $38,700 | 512 |
| June 2025 | $66,800 | $40,900 | 552 |
| July 2025 | $67,600 | $41,500 | 557 |
| August 2025 | $72,100 | $44,000 | 594 |
| September 2025 | $74,300 | $45,200 | 625 |
| October 2025 | $79,400 | $47,600 | 664 |
| November 2025 | $84,400 | $50,300 | 707 |
| December 2025 | $89,800 | $52,800 | 754 |
How the metrics are calculated
- Revenue & costs
- Sums of monthly values for the selected period and categories, in US dollars. Costs represent all modeled operating costs; taxes are not modeled separately.
- Profit & profit margin
- Profit = revenue − costs. Profit margin = total profit ÷ total revenue × 100. The margin is calculated from totals, not averaged across rows. A zero-revenue selection reports 0%.
- Order volume
- The sum of completed orders represented by each synthetic monthly aggregate. An order belongs to one category. Currency is rounded to whole dollars for display; percentages use one decimal place.
DEMONSTRATION / 02
Data Pipeline & Quality Monitor
Follow data from source to output, with quality checks at every step.
Interactive demonstration using synthetic data.
Try it: Switch source batches, inspect the input records, and replay a simulated processing run.
Read the result: Accepted and rejected records reconcile to the input count, making the quality checks and clean output easy to audit.
a /
SIMULATED · LOCAL DATAPipeline overview
Order export6 records
Finance file3 records
Subscription feed3 records
- 01Receive12 input records
- 02NormalizeShared column structure
- 03Validate3 checks per record
- 04Publish9 accepted records
Received12Input records
Accepted9All checks passed
Rejected3Requires review
Acceptance rate75.0%Accepted ÷ received
12 received = 9 accepted + 3 rejected. Each record is counted once.
Validation checks
- 01 Required ID, date, category, and amount
- 02 Unique record ID within the batch
- 03 Finite amount greater than zero
First occurrence of an ID is retained for duplicate detection. Rejected records are excluded from the clean output. These examples are not a complete production validation policy.
| Input row | Record ID | Source | Issue | Status |
|---|---|---|---|---|
| 5 | ORD-103 | Order export | Missing required field | Rejected |
| 6 | ORD-101 | Order export | Duplicate record ID | Rejected |
| 7 | INV-202 | Finance file | Amount must be greater than zero | Rejected |
Clean output · 9 accepted records
| Record ID | Date | Category | Amount (USD) |
|---|---|---|---|
| ORD-101 | 2025-12-01 | Products | $480 |
| ORD-102 | 2025-12-01 | Products | $320 |
| INV-201 | 2025-12-02 | Services | $1,200 |
| SUB-301 | 2025-12-02 | Subscriptions | $80 |
| SUB-302 | 2025-12-04 | Subscriptions | $160 |
| ORD-104 | 2025-12-05 | Products | $620 |
| INV-203 | 2025-12-05 | Services | $900 |
| SUB-303 | 2025-12-06 | Subscriptions | $80 |
| ORD-105 | 2025-12-06 | Products | $240 |
Inspect sample source inputs
| Record ID | Source | Date | Category | Amount (USD) |
|---|---|---|---|---|
| ORD-101 | Order export | 2025-12-01 | Products | $480 |
| ORD-102 | Order export | 2025-12-01 | Products | $320 |
| INV-201 | Finance file | 2025-12-02 | Services | $1,200 |
| SUB-301 | Subscription feed | 2025-12-02 | Subscriptions | $80 |
| ORD-103 | Order export | 2025-12-03 | Products | Missing |
| ORD-101 | Order export | 2025-12-03 | Products | $480 |
| INV-202 | Finance file | 2025-12-04 | Services | -$50 |
| SUB-302 | Subscription feed | 2025-12-04 | Subscriptions | $160 |
| ORD-104 | Order export | 2025-12-05 | Products | $620 |
| INV-203 | Finance file | 2025-12-05 | Services | $900 |
| SUB-303 | Subscription feed | 2025-12-06 | Subscriptions | $80 |
| ORD-105 | Order export | 2025-12-06 | Products | $240 |
DEMONSTRATION / 03
Reporting Automation & Validation
Recurring report preparation takes time, and unchecked records can carry mistakes into the next report.
Interactive demonstration using synthetic data.
Try it: Run a simulated scheduled workflow, inspect exceptions, and download the displayed report as CSV.
Read the result: The report includes only validated records. Run history is local to this page; no scheduler or email service is connected.
Recurring report workflow
SIMULATED · NO CONNECTIONSExample schedule: Every Monday at 09:00 · America/New_York. Scheduling and execution are simulated; no external systems or email delivery are connected.
- 01Load dataNot running
- 02ValidateNot running
- 03Prepare reportNot running
- 04CompleteNot running
Sample report preview · no workflow has run yet.
Received5Input records
In report3Validated records
Exceptions2Excluded for review
Report revenue$15,600USD · accepted records
5 received = 3 included + 2 excluded. Profit = revenue − costs.
| Category | Revenue | Costs | Profit | Orders |
|---|---|---|---|---|
| Products | $6,800 | $4,300 | $2,500 | 68 |
| Services | $5,200 | $3,100 | $2,100 | 15 |
| Subscriptions | $3,600 | $1,700 | $1,900 | 45 |
| Total | $15,600 | $9,100 | $6,500 | 128 |
| Record ID | Reason excluded |
|---|---|
| W49-04 | Revenue must be zero or greater in this sample |
| W49-05 | Missing costs; cannot calculate profit |
Only accepted records enter the report and download. In production, exception handling and whether to block publication would be agreed with the report owner.
Run history · this page session
- No simulated runs yet. Use “Run sample workflow” to add one.
DEMONSTRATION / 04
Forecasting & Scenario Planning
Planning is easier when assumptions can be adjusted and the calculation is visible.
Interactive demonstration using synthetic data.
Try it: Change the forecast horizon and demand scenario, then compare the chart, monthly values, and total.
Read the result: A simple trend provides an illustrative baseline. Scenarios are assumptions, not statistical confidence intervals.
Forecasting & scenarios
SYNTHETIC MONTHLY ORDERSLast observed month615Orders · Dec 2025
Trend increment+19.0Orders per month
Forecast total4,089Orders · selected horizon
Final forecast month729Orders · June 2026
Observed history & selected scenario
Completed orders per month · synthetic data
HistoricalForecast
WHAT THIS MEANS
Historical completed orders from January to December 2025; forecast for 6 months. Baseline · unchanged trend. Forecast total 4,089 orders. Last forecast month June 2026: 729 orders. Full values follow in the table. This is an illustrative planning scenario, not a probability estimate or a confidence interval.
| Month | Baseline trend | Selected scenario | Period |
|---|---|---|---|
| January 2026 | 634 | 634 | Forecast |
| February 2026 | 653 | 653 | Forecast |
| March 2026 | 672 | 672 | Forecast |
| April 2026 | 691 | 691 | Forecast |
| May 2026 | 710 | 710 | Forecast |
| June 2026 | 729 | 729 | Forecast |
| Total | 4,089 | 4,089 | 6 months |
Historical monthly data
| Month | Orders |
|---|---|
| January 2025 | 420 |
| February 2025 | 445 |
| March 2025 | 432 |
| April 2025 | 470 |
| May 2025 | 486 |
| June 2025 | 501 |
| July 2025 | 520 |
| August 2025 | 538 |
| September 2025 | 552 |
| October 2025 | 580 |
| November 2025 | 601 |
| December 2025 | 615 |
Method, assumptions & limitations
We use a simple average-change trend extrapolation, not an advanced machine learning model. Over the last six historical months, monthly change = (December orders − July orders) ÷ 5 = (615 − 520) ÷ 5 = 19 orders.
For month h ahead: baseline = max(0, 615 + 19 × h). The selected scenario multiplies this unrounded baseline by 0.9, 1.0, or 1.1. Each monthly value is then rounded to a whole order; totals sum the displayed rounded values.
This assumes the recent absolute trend continues. It does not model seasonality, causal drivers, capacity limits, or changing conditions. Lower and higher cases are fixed scenario assumptions, not confidence intervals. A real forecast needs validation against suitable baselines and held-out observations.
DEMONSTRATION / 05
Data Platform Modernization Explorer
Disconnected workflows make it difficult to decide where a platform improvement should begin.
Interactive demonstration using synthetic data.
Try it: Choose example source types and your main priority to explore a proposed structure and phased migration outline.
Read the result: The output is an illustrative planning example. A real design requires assessment of access, quality, workload, and constraints.
Explore a modernization path
ILLUSTRATIVE PLANNING EXAMPLECurrent state · illustrative
SpreadsheetsManual file consolidation
DatabasesSeparate database extracts
Separate preparation & reporting definitions
An example of disconnected workflows, not an assessment of your systems.
Proposed state · illustrative
SpreadsheetsScheduled file intake
DatabasesIncremental database extracts
Validation & shared data models
Governed reporting & monitored workflows
PRIORITY / Reporting reliability
Agree KPI definitions and data ownership before moving reports. The design remains open to cloud, hybrid, and on-premises environments.
Integration & validation
Databases
Assess read-only access, keys, change tracking, and extraction windows without interrupting operational workloads.
Reconcile source and target counts and totals; test incremental updates and deletes.
A phased migration outline
- 01
Assess & agree
Agree KPI definitions and data ownership before moving reports. Inventory spreadsheets, databases and agree access, ownership, and acceptance criteria.
- 02
Pilot & reconcile
Run old and new reports side by side; investigate differences before switching. Start with spreadsheets, validate the output, and keep a rollback path.
- 03
Expand & hand over
Add the remaining selected sources in stages. Document transformations, access controls, and reporting definitions.
- 04
Monitor & improve
Use freshness checks, reconciliations, and clear exception ownership. Review data access, recovery procedures, and reporting usefulness with the responsible owners.
Governance means agreed owners, access rules, definitions, and change records. Reporting should be reconciled against existing outputs before cutover. Scope, tooling, effort, and timings require an assessment; this example does not estimate costs or guarantee results.
LET’S FIND THE WAY FORWARD
What would you like your
data to help you do?
Tell us what you’re working toward. We’ll start with the question.