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Working demonstrations, not screenshots

Five small versions of the tools we build. Each one runs in your browser on generated data for a fictional distributor - change the rules, slice the numbers, approve a request, and watch the output recompute.

All data is synthetic and generated on this pageNothing you do here is sent anywhere
Excel Automation

Regional file consolidation

Six regional workbooks, six different layouts, one monthly report.

Combine inconsistent regional files into one clean table, with every cleaning rule visible and switchable.

Power QueryData validation
Power Query · Sales_Consolidation.xlsx Synthetic data
Source folder · Oct 20256 files
North_Sales_Oct2025.xlsxfrom [email protected] · reported total $137,818
Already in the standard layout
First rows of North_Sales_Oct2025.xlsx, as received
DateProductUnitsRevenue
2025-10-15Laptop Pro 143036475
2025-10-15Monitor 275417603
2025-10-20Wireless Headset11813890
2025-10-06Docking Station478847
2025-10-21Ergo Chair4017316
2025-10-18Standing Desk2112728

Showing 6 of 10 rows as received.

Applied steps

Combined table · Date, Product, Units, Revenue6/6 regions reconcile
Rows out60from 62 read · 6 files
Products10all mapped to the list
Revenue$659kevery row has revenue
Issues0none
Reconciliation of consolidated revenue against each region's reported total
RegionReportedConsolidatedCheck
North$137,818$137,818Matches
South$100,661$100,661Matches
East$97,082$97,082Matches
West$166,851$166,851Matches
Central$88,427$88,427Matches
Coastal$68,189$68,189Matches
Consolidated rows
RegionDateProductUnitsRevenue
North2025-10-15Laptop Pro 1430$36,475
North2025-10-15Monitor 2754$17,603
North2025-10-20Wireless Headset118$13,890
North2025-10-06Docking Station47$8,847
North2025-10-21Ergo Chair40$17,316
North2025-10-18Standing Desk21$12,728
North2025-10-02Filing Cabinet31$6,276
North2025-10-03Copy Paper Case221$8,751
North2025-10-26Toner Cartridge138$11,519
North2025-10-05Desk Organiser186$4,413
South2025-10-06Laptop Pro 1421$25,710
South2025-10-22Monitor 2738$12,499
What we'd build for you

A Power Query workbook pointed at the folder where your files land. Each cleaning rule is written once, documented, and replayed on every refresh, with a reconciliation sheet that flags any file whose totals do not match.

Data Analytics & Transformation

Interactive KPI dashboard

Management wants answers by region and month without asking for a new report.

Slice revenue, margin, and growth by region, product line, and period, with targets and variance.

Excel data modelDashboard design
Excel dashboard · Sales_Dashboard.xlsx Synthetic data
Period
Product line
Region

Jan 2025 – Oct 2025 · All regions, all product lines

Revenue$5,637,180+6.9% vs same period last year
Vs target−0.3%Slightly below target $5656k
Gross margin35.3%$1993k gross profit
Units sold36,81010 months in period
Revenue by region vs target Revenue Target
Monthly revenue, 2025 2025 2024 Target
$495k$583k$671k$659k

Monthly revenue for 2025: Jan $526,722, Feb $528,582, Mar $609,193, Apr $568,888, May $574,593, Jun $526,521, Jul $492,987, Aug $521,572, Sep $629,094, Oct $659,028, Nov $640,629, Dec $702,027.

Targets are set per region; for a single product line, the target is allocated by that line's share of the same period last year.

What we'd build for you

A dashboard on a structured data model with the measures your management actually uses, slicers for the cuts they ask for, and targets loaded from your plan - refreshed rather than rebuilt.

PowerPoint Solutions

Monthly report deck generator

The same slides are rebuilt by hand every month.

Pick a month and the deck rebuilds itself: KPI slide, regional chart, top products, and drafted highlights.

PowerPoint automationTemplate design
PowerPoint automation · Monthly_Review.pptx Synthetic data

Built October 2025: 5 slides · 36 values · 2 charts from Sales_Model.xlsx

Highlights are draft commentary generated from rules; a person edits it before the deck is sent.

What we'd build for you

A branded PowerPoint template whose charts, tables, and figures are filled from your reporting workbook by VBA or Python. Someone still writes the commentary; nobody re-pastes numbers.

Data Analytics & Transformation

Customer list cleanup

Duplicates, mixed formats, and missing values in an exported customer list.

Apply cleaning rules one by one and watch duplicates merge, formats standardise, and quality rise.

Power QueryPython
Data cleaning · customers_export.csv Synthetic data
12 records · 9 cells changed · 0 merged

3 probable duplicate groups found. Turn on “Merge duplicate customers” to combine them.

Customer records after the selected cleaning rules; changed cells are marked
IDNameCompanyEmailPhoneCountryCityNotes
C-1001Amelia Turner (changed from amelia turner)Northwind Interiors[email protected](415) 555-0132USASan Francisco (changed from san francisco)
C-1002Jonas BeckerBrightline GmbH[email protected]030 1234567GermanyBerlin
C-1003Priya Nair (changed from PRIYA NAIR)Lumen Analytics[email protected]07700 900123UKLondon
C-1004Daniel Okafor (changed from Daniel Okafor )Harbor Logisticsblank415.555.0178United StatesOakland
C-1005Sofia MarinCobalt Studio[email protected]+44 7700 900456United KingdomManchester (changed from manchester)
C-1006Amelia Turner (changed from Amelia Turner )Northwind Interiorsblank+1 415 555 0132U.S.San FranciscoPossible duplicate of C-1001
C-1007Lukas SchmidtFeldhaus AG[email protected]0049 89 7654321DEMunich
C-1008Jonas BekkerBrightline GmbH[email protected]+49 30 1234567deutschlandBerlin (changed from berlin)Possible duplicate of C-1002
C-1009Grace LiuSummit Health[email protected]6505550199usPalo Alto
C-1010Priya Nair (changed from priya nair)Lumen Analytics Ltd[email protected]+447700900123EnglandLondonPossible duplicate of C-1003
C-1011Omar HaddadCedar Retail[email protected]blankUnited KingdomLeeds
C-1012Hannah WeberFeldhaus AGh.weber@example089-7654399GermanyMunich (changed from MUNICH)

Missing data is flagged for follow-up, never invented. In a real project, merges above a confidence threshold are applied and borderline ones go to a review list.

What we'd build for you

A repeatable cleaning pipeline in Power Query or Python with explicit rules, a review list for uncertain matches, and a log of every change, so the next export takes minutes.

Business Workflow Automation

Purchase approval workflow

Purchase requests wait in inboxes with no record of who approved what.

Submit sample requests and watch them route by amount and category, with every step logged.

Power AutomateApproval rules
Power Automate · Purchase approvals Synthetic data
New purchase request

Will route to: Line manager → IT

Or submit a sample:
Routing rules

Rule changes apply to new requests; ones already in flight keep their route.

Requests
Audit log · PR-1042
  1. L. Moreau (Marketing) submitted "Trade fair stand and sponsorship" for $12,500
  2. Routed to Line manager → Finance
Approver inbox
PR-1041 · from M. ChenReplacement laptop for a new hire$1,450Why you: $1,450 is at or above the $250 auto-approval limit
PR-1042 · from L. MoreauTrade fair stand and sponsorship$12,500Why you: $12,500 is at or above the $250 auto-approval limit
What we'd build for you

Power Automate flows on Microsoft 365: a form or list for requests, routing rules you can read, approvals in Teams or Outlook, and a stored record of every decision.

Your process will not look exactly like these

That is the point of a specification. Describe your files, steps, and outputs in the Discovery Studio, and a specialist reviews it before anything is quoted or built.