The right analysis for the question.

The problem

Important data may be spread across systems, defined differently by different teams, or unable to reproduce an earlier result.

What we provide

We examine the data, definitions, timing, populations, transformations, and controls behind the analysis. The goal is to establish what can be relied upon and create a stable analytical foundation.

Typical work

• Source and definition mapping
• Data-quality assessment
• Transaction and record reconciliation
• Historical-data reconstruction
• Analytical dataset creation
• Calculation validation
• Reproducibility testing
• Quality-control rules

Practical outcome

A documented dataset and process that produce consistent results and can support later modeling, reporting, or review.

The problem

A forecast may depend on hidden assumptions, fragile spreadsheets, or a single predicted result that does not show the range of possible outcomes.

What we provide

Forecasts are built around the drivers of the decision. Assumptions are separated from calculations. Scenarios and sensitivities show what could change the result.

Typical work

• Demand and load forecasts
• Price and revenue forecasts
• Customer and portfolio forecasts
• Residual-value forecasts
• Long-range planning models
• Scenario and sensitivity analysis
• Forecast validation
• Monitoring and update procedures

Practical outcome

A forecast that can be reviewed, updated, and used as conditions change.

The problem

A business, regulatory, infrastructure, or legal question requires more than descriptive reporting.

What we provide

We connect economic reasoning and statistical methods to the available evidence, with assumptions and limitations documented for review.

Typical work

• Regression and econometric analysis
• Economic-impact analysis
• Employment and compensation analysis
• Market and customer analysis
• Profitability and exposure models
• Infrastructure and policy scenarios
• Statistical testing
• Model design and validation

Practical outcome

A documented analysis connecting the available evidence to the economic or statistical question.

The problem

Attorneys, experts, consulting firms, or organizations may need to analyze large datasets, estimate damages, test claims, or prepare calculations for close review.

What we provide

We can support an existing legal or economic consulting team or take responsibility for a defined analytical workstream.

Typical work

• Lost-income and lost-profit analysis
• Employment and discrimination data analysis
• Damages calculations
• Discovery-data preparation
• Model replication and validation
• Review of opposing analyses
• Tables, exhibits, and technical documentation
• Analytical support for economists, attorneys, and experts

Practical outcome

Careful analytical work with visible assumptions, traceable calculations, and documentation suitable for expert and counsel review.

The problem

Utility analysis often combines large customer populations, changing operational data, regulatory definitions, interval usage, rates, programs, and long planning horizons.

What we provide

We bring direct experience in regulatory data, customer and usage analysis, historical data architecture, KPI review, interval data, and long-term forecasting.

Typical work

• Regulatory-data architecture
• Customer and usage analysis
• Historical snapshots
• Interval and SmartMeter analysis
• Long-term demand and load forecasting
• Rate-design impact analysis
• Program and KPI measurement
• Regulatory reporting and data-quality review

Practical outcome

Regulatory and planning analysis that remains consistent, reproducible, and understandable as data and questions change.

The problem

A useful analysis may depend on manual steps, repeated code changes, one person's knowledge, or a spreadsheet that has become difficult to control.

What we provide

We turn recurring analytical work into a documented system using metadata, shared assumptions, automated reporting, controlled interfaces, or reusable data structures.

Typical work

• Metadata-driven analytical systems
• Spreadsheet-to-application conversion
• Automated recurring reports
• Data and model pipelines
• Development, test, and production configuration
• KPI frameworks
• Analyst tools and interfaces
• Documentation and handoff

Practical outcome

A process that is faster to operate, easier to maintain, and less dependent on manual intervention.

The problem

An organization may need to know whether a model, damages calculation, expert analysis, report, or inherited process can be relied upon.

What we provide

We independently examine the data, assumptions, methods, formulas, logic, and outputs. The review may reproduce results, test alternatives, or trace a conclusion back to source data.

Typical work

• Model replication
• Formula and calculation review
• Assumption testing
• Discovery-data review
• Damages-calculation review
• Review of expert analyses
• Reconciliation of conflicting results
• Identification of errors or unsupported assumptions
• Reproducibility and control review

Practical outcome

A clear explanation of what works, what does not, what remains uncertain, and what should be corrected or examined further.