Here, you will be taking the clean data and looking for margin leakage. It could save you thousands. 

Applicable when your dataset is clean and has no issues. 

Note: We also cater to your special request if you have dataset ready. 

Some samples of different types of leakage from different industries. There are many, just a few picked up. 

Notice the financial impact if ignored. Humans cannot detect all of it. Get your dataset checked to ensure you are getting the right information to make decisions. 

Just schedule a calendar invite from the contact tab. Click on the green buttons for PDF reports.  

Health Care Financial Impact Leakage $10,000 – $47,200 annually
Warehouse-Shows all Leakage in Dataset
Warehouse-Financial Impact - $9,213,105 (measured dollars from 99,959 affected rows across inventory_variance_units, inventory_variance_value, and labor_productivity_variance_pct)
Retail - Financial impact - $5,248 to $10,426 ($38,306 in Actual_Refund × 13.7% Appriss fraud benchmark = $5,248 base risk, plus $500 unapproved refund excess and reverse handling overhead)
Retail - Financial Impact - Margin erosion via discounting - $10,000 - $30,000 across dataset - Variance detected between Approved_Discount_Pct and Actual_Discount_Pct, resulting in total actual discount points exceeding authorized levels across 40 transactions.
Manufacturing - Margin erosion via discounting - $104,266 direct revenue leakage measured across 374 affected production batches
Transportation - Actual maintenance cost exceeds approved maintenance authorization by $6,000 across 3,933 loads, alongside significant unhedged Driver_Cost and Other_Trip_Cost outlays. Pricing leakage -
Data Leakage - One Time Use - $49.99
Terms: 
1. It’s a pay-as-you-use model.
2.  Users need to register using company email. 
3. We accept payments using PayPal only.
4. Rate per Pay
    We offer $49.99 per use. 
 5. Free consultations are available.

 

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