Hurst AnalyticsQuantitative consulting

Services

Practical analytics services for better reporting, forecasting, and decisions.

Hurst Analytics helps small businesses, researchers, finance teams, analysts, and decision-makers turn complex data into clearer systems, stronger evidence, and more useful reporting.

Boutique quantitative analytics

Outcome-focused support for teams that need cleaner data, credible models, and reports people can actually use.

Reporting automation
Forecasting and risk modelling
Econometric analysis
Dashboards and decision support

What we do

Structured analytics work without the weight of a generic IT project.

Engagements are scoped around business questions, reporting cycles, research needs, and decision points. The aim is to make data easier to trust, explain, refresh, and use.

Useful for clients who need:

  • Small businesses improving recurring reports
  • Researchers who need defensible empirical analysis
  • Finance teams planning under uncertainty
  • Analysts replacing fragile spreadsheet routines
  • Decision-makers who need clearer dashboards

Service areas

Four focused ways to improve your data, models, and reporting.

Each service is designed to move from a clear question or workflow to outputs that are easier to review, repeat, and use in decisions.

Cleaner reporting workflows

Data Systems

Turn messy spreadsheets, manual reports, and disconnected data sources into repeatable workflows that produce cleaner, decision-ready outputs.

Discuss this service

Process flow

  1. 01

    Gather

    Bring scattered inputs into one dependable workflow.

    Data ingestionSource checks
  2. 02

    Prepare

    Clean, transform, and structure the data for repeatable use.

    CleaningTransformation
  3. 03

    Report

    Turn prepared data into analysis, visuals, and recurring outputs.

    AnalysisVisualisationReporting

Typical outcomes

  • Consolidate scattered files and exports
  • Reduce manual reporting steps
  • Create repeatable checks and refreshes
  • Produce clearer management outputs

Plan with uncertainty

Forecasting & Risk Modelling

Build forecasts that compare plausible futures, quantify uncertainty, and support practical choices across planning, finance, and operations.

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Process flow

  1. 01

    Frame

    Define the forecast target, horizon, drivers, and decision context.

    Forecast targetPlanning horizon
  2. 02

    Model

    Compare suitable approaches and test how well they explain the data.

    Historical patternsModel comparison
  3. 03

    Decide

    Translate forecasts into ranges, scenarios, and planning guidance.

    Uncertainty rangesRisk scenariosPlanning view

Typical outcomes

  • Forecast future outcomes and ranges
  • Compare statistical, econometric, and machine-learning approaches
  • Assess downside and upside scenarios
  • Translate model results into planning guidance

Evidence from complex data

Statistical & Econometric Analysis

Produce rigorous empirical analysis for business, policy, finance, and research questions, with methods chosen around the question rather than jargon.

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Process flow

  1. 01

    Question

    Clarify the empirical question and what evidence would be useful.

    Research questionEvidence plan
  2. 02

    Estimate

    Prepare the data and apply statistical or econometric models.

    Data preparationEstimation
  3. 03

    Explain

    Check robustness and present findings in clear business or research language.

    DiagnosticsInterpretationWritten findings

Typical outcomes

  • Design regression and econometric analysis
  • Support academic, policy, or commercial research
  • Check assumptions and model reliability
  • Deliver clear written interpretation

Clear metrics, better decisions

Dashboards & Decision Support

Build dashboards and reusable reporting views that make KPIs easier to track, explain, and act on without relying on manual report assembly.

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Process flow

  1. 01

    Focus

    Identify the decisions, KPIs, and reporting questions that matter.

    Decision needsCore metrics
  2. 02

    Design

    Create clear reporting views that make performance easy to scan.

    Dashboard layoutVisual hierarchy
  3. 03

    Use

    Make the reporting routine easier to refresh, explain, and act on.

    Refresh routineInsight summaryAction

Typical outcomes

  • Track KPIs and recurring performance measures
  • Make reports easier to understand and reuse
  • Reduce manual chart and slide preparation
  • Focus dashboards on decisions, not just charts

Discuss a data, forecasting, reporting, or analysis project.

Send a short note about the workflow, research question, forecast, dashboard, or report you want to improve.

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