Applied Insights // Decision Intelligence Advisory

Most data strategies stop at insights. We build really offensive strategies that drive outcomes.

Defensive strategies manage data risk. Traditional offensive strategies stall at unused dashboards. We build really offensive DA&AI strategies and engineered Decision Products that bridge the Last Mile—converting enterprise data into direct, measurable commercial action.

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Our methodology

Moving from Defensive IT to Really Offensive Commercial Value

Data governance and management are necessary to protect downside risk, but they are not sufficient to generate returns. Sustainable enterprise value is only realized when insights travel the Last Mile into operational execution.

Pillar 01: Really Offensive DA&AI Strategy

Shift from bottom-up data collection to top-down outcome modeling. We map high-friction operational decisions, align executive leadership, and reverse-engineer your required data architecture directly from target commercial outcomes.

Pillar 02: Decision Product Architecture

Accelerate speed-to-value by designing validated Decision Experiences (DX). We capture decision context, build interactive prototypes, and orchestrate technical delivery into your enterprise factory without adding headcount.

Methodology Exhibit: The Data Value Chain & The Last Mile

Decision Led vs Data Driven methodology, showing data progressing through information and insights to action and outcomes, with reverse loops that define the required insights and data.

Foundation Layer // Cost Focus

Data Products

Structured, curated, "Gold Standard" datasets. Organizes information to minimize risk, but remains passive until queried.

Diagnostic Layer // Insight Focus

Analytics Products

User-centric dashboards and BI reports. Surfaces trends, but leaves the operational decision burden entirely on the human.

Field Demonstration

Framework in Action: Mitigating Enterprise Stockout Risk

How we transformed fragmented ERP data into a prioritized daily decision product for operational buyers.

The Operational Friction

Buyers were overwhelmed by 200+ raw ERP reports, reacting to inventory shortages after customer commitments had already failed.

The Decision Context

We synthesized days-of-supply thresholds, replenishment lead times, and demand uplift into a single reusable enterprise logic layer.

The Decision Product

An interactive buyer exception queue answering one daily operational question: 'Which SKUs require action today?' with one-click PO amendments, expedites, and transfers.

From opportunity to validated design

From strategy to a product ready for delivery.

  1. 01

    Discover & Define

    We map business decisions, capture stakeholder jobs-to-be-done, and define the Value Realisation Diagram with clear KPI/KRI frameworks.

  2. 02

    Design & Prototype

    We architect the Decision Experience (DX) and build clickable, high-fidelity prototypes to validate real operational workflows with end-users.

  3. 03

    Factory Handover & Value Tracking

    We translate validated blueprints into technical build specifications, govern delivery alongside internal data engineering teams, and implement post-launch value tracking.

Stockout riskToday · 08:30
Which SKUs require action today?
01AX-4102 days cover · key customer demandExpedite PO
02LM-8825 days cover · stock available nearbyTransfer stock
03QF-2048 days cover · approved alternativeSubstitute
ContextRecommended actionDecision

Close the value gap

Tell us where value is getting stuck.

Whether you have invested millions in a modern data stack that isn't driving commercial returns, or need an actionable Decision Product blueprint for your leadership team, let's diagnose your decision bottlenecks.

Or email Neil directly
neil@appliedinsights.co.uk