Results
More than 15 years of results, found in the numbers.
Victor Long has built forecasting models, receivables systems, and sales tools inside operating businesses — as a call center manager, director, general manager, and COO. He's run these operations himself — the results below came from doing the work.
Featured Case Study · Wisconsin Lottery
What does a decade of statewide accountability look like?
Victor ran IGT's end-to-end technology contract for the Wisconsin Lottery for ten years. He inherited a business intelligence system graded D by the customer and rebuilt it to a B. His retailer ordering tools grew instant ticket sales more than 10% year over year.
The customer's grade for the reporting system, after it was rebuilt around their actual requirements.
Year-over-year growth in instant ticket sales, driven by predictive ordering tools for retailers.
As General Manager, accountable for the technology behind lottery sales across the state of Wisconsin.
Case Study · Receivables
How do you cut past-due receivables in half?
New Horizons Computer Learning Centers · Director of Customer Service, Enterprise Accounts
By tracking every invoice, every collection call, and every dollar still recoverable — in one system.
As Director of Customer Service for Enterprise Accounts, Victor faced a serious problem: too many invoices more than 120 days past due. He built a database that held every invoice, logged data from every collection call, and reported the status and recoverable revenue on each account. With the full picture in front of the team, aging over 120 days fell by half.
Reduction in receivables aged over 120 days.
New Horizons Computer Learning Centers — Enterprise Accounts, Corporate Office.
Case Study · Forecasting
How accurate can a forecast get?
Progressive Insurance · Call Center and Underwriting Operations
Accurate enough that one variable — policies in force — predicted call volume with a 0.99 correlation.
Managing a Progressive call center serving Texas, Louisiana, Arkansas, and Oklahoma, Victor built a regression model that forecast call volume from the marketing plan. R-squared: 0.99. The center staffed to the forecast, ran efficiently, and service improved.
Two years later he built the staffing model for underwriting operations across the same four states — sound enough to guide hiring and cross-training, and to hold up under the corporate controller's scrutiny.
R-squared of the call-volume forecast — a near-perfect correlation.
Progressive Insurance — Call Center and Underwriting Operations.
The Method
Why do these projects work?
Because the analysis starts with the operation, not the data. Victor learns how a business actually runs — who does what, where the money moves, what breaks — before he opens a spreadsheet. The numbers only give answers when you know the right questions.
Results on this page are drawn from Victor Long's project records at Progressive Insurance, New Horizons Computer Learning Centers, and IGT's Wisconsin Lottery contract. Written by Victor Long, Long Business Intelligence Solutions. Last updated July 2026.
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