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Selected applications

Applied analytics.
Real decisions.

Explore how SSS Techs investigates difficult data, validates important models, automates recurring analysis and turns complex findings into usable decision-support tools.

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The examples below include anonymised applied work and representative analytical patterns. They show the types of problems, methods and outputs SSS Techs can deliver without disclosing confidential client information.

Building performance overview

JanMarMayJulSepNov

Building performance and heating diagnostics

Problem

Operational teams struggle to distinguish genuine inefficiency from weather effects, occupancy changes and normal variation.

What we built

Time-series diagnostics combining energy, temperature and occupancy-related signals with operational context.

What it enabled

Prioritised the buildings and operating periods that justified investigation, instead of treating all variation as inefficiency.

Delivered

Diagnostic analysis - Dashboard-ready reporting views - Targeted operational investigation

StatusConsultancy capability / internal analytics pattern
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Model validation overview

Model AModel BModel CModel DCalculationData integritySensitivityEdge cases

Model and dashboard validation workflow

Problem

Important dashboards and models may influence decisions without sufficient evidence that calculations, assumptions and validation logic are reliable.

What we built

A structured audit workflow covering reproducibility, baseline comparison, sensitivity analysis, edge cases and output review.

What it enabled

Separated the outputs that could be relied on from those needing repair, and set out the validation still outstanding before decisions depended on them.

Delivered

Independent audit - Validation evidence - Documented fitness for use

StatusReusable audit method
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Automated reporting workflow

IngestValidateAnalyseGenerateDeliver0102030405CompletenessConsistencyAnomaliesReconciliation

Automated analytical reporting workflow

Problem

Recurring reporting often depends on manual exports, spreadsheets and disconnected calculations.

What we built

A controlled workflow connecting data ingestion, validation, analysis and structured report generation.

What it enabled

Replaced manual exports with an auditable route from source data to stakeholder-ready output, with quality checks applied before anything was published.

Delivered

Validated analytical outputs - Automated workflow and quality checks - Repeatable management reporting

StatusBuild pattern for repeatable analytics
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Scenario analysis - downside risk

P10 outcomeP50 outcomeDownside VaRRisk-adjusted-18%Base case-24%+11%

Forecasting and downside-risk analysis

Problem

Single forecasts can hide uncertainty, downside exposure and important operational trade-offs.

What we built

Scenario-based forecasting and risk analysis combining forecast ranges, assumptions, constraints and comparative decision indicators.

What it enabled

Shows P10, P50 and P90 cases compared against downside scenarios in one place, ahead of commercial or operational commitment.

Delivered

Forecast ranges - Scenario analysis - Reviewable downside cases - Optimisation support

StatusPrototype / decision-support pattern
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Renewable platforms

Looking for a reusable renewable-energy platform?

WattVector and GridRisk apply selected forecasting, revenue and decision-risk methods through commercial analytical products.

Explore renewable platforms

Open-source work

Inspect our public technical work

Explore open-source applications, quantitative modelling and scientific-computing projects that demonstrate our approach to reproducibility, validation and analytical engineering.

Explore open-source work

Have a difficult dataset, model or recurring analytical process?

We can help determine whether it requires investigation, validation, automation, a prototype or a custom analytical build.

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