Historical regulatory data
A monthly snapshot architecture preserved the historical state of customer, billing, usage, rate, program, premises, and demographic records for an eight-person analytical department.
Experience and applications
Utility and regulatory analytics provide the deepest concentration. Across other industries, the same working requirements recur: establish reliable data, choose a defensible method, test the result, and leave a clear analytical record.
The experience below reflects work performed by founder and principal consultant Joe Barber across consulting and employment settings.
Selected measures of scale and durability
Primary depth · Utility and regulatory analytics
At PG&E and Southern California Edison, Joe Barber designed data and forecasting systems that turned changing operational records and established forecasting knowledge into controlled, reproducible analysis.
A monthly snapshot architecture preserved the historical state of customer, billing, usage, rate, program, premises, and demographic records for an eight-person analytical department.
Interval-data tools imputed missing electricity and gas usage and reconciled the results to billed meter reads, enabling planning across every hour of a standard year.
A controlled web platform replaced a manual spreadsheet process and improved the transparency and defensibility of 20-year forecasts used in rate cases and resource planning.
Review of an existing CARE/FERA measure found that it combined percentages based on different customer populations; the logic and materially inaccurate reported result were corrected.
Additional analytical applications
Each example identifies the setting, the analytical work, and the practical result—so breadth does not have to mean vagueness.
Litigation analytics and independent review
Work has included employment-discrimination analysis, intellectual-property damages, lost-income analysis, model validation, statistical testing, and analytical support for economists, attorneys, and experts.
The same discipline supports independent review of models, calculations, assumptions, and analytical processes when the work may be challenged.
Financial and customer analytics
At FirstUSA/Chase, nightly reporting and intranet dashboards gave Partnership Marketing managers direct access to acquisition, spending, profitability, marketing, and portfolio information.
The work converted high-volume customer and transaction records into repeatable management information and decision support.
Transportation and asset-value forecasting
For LeasePlan USA, production models forecast vehicle values using millions of auction transactions and vehicle, age, mileage, condition, location, seasonal, market, purchasing, and economic variables.
A domain-specific forecasting problem became a controlled, explainable production process with uses across several departments.
Economic impact and public investment
Economic-impact and benefit work has examined employment, fiscal effects, travel-time and fuel savings, congestion, taxable sales, building activity, and regional economic growth.
The method changes with the question, but the result still requires transparent assumptions, traceable calculations, and a clear explanation of public benefits.
Analytical systems and implementation
Transferability comes from the process—not from pretending every industry is the same. Subject-matter knowledge is joined to a controlled analytical workflow that can be reviewed, rerun, extended, and handed off.
Define the decision and the evidence it requires.
Establish definitions, populations, timing, and controls.
Build calculations with explicit assumptions.
Review alternatives, sensitivities, and errors.
Leave a result others can understand and use.
A focused first conversation