Case Studies

Proof points that demonstrate our impact

See how leading organisations are using VALSTR to deliver value from their data & AI across industries and our platform capabilities.

11+

Case studies across industries

Platform capabilities proven

100%

Initiative traceability

Repeatable

Frameworks & delivery models

Engineering

Strategy Execution

Turning Data Ambition Into Organisational Momentum

Strategy Execution

The Challenge

A large engineering firm had set bold ambitions around "unlocking value from data, analytics and AI," yet progress remained patchy and siloed. Teams were working hard, but, initiatives stalled with many occurrences of conflict across stakeholders and delivery. Leadership was unable to see value generated.

The Approach

VALSTR applied its Strategy framework to orchestrate the firm's fragmented efforts into a prioritised, organisation wide and business led plan. The platform linked goals, activities, capabilities, and delivery milestones into a roadmap. This ensured every step of the plan updated automatically as priorities evolved. Through VALSTR's proven frameworks and prioritisation engine, leadership could finally see which initiatives mattered most, how they aligned to strategy, and what dependencies needed to be managed.

Objectives

Convert aspirations into a prioritised coherent roadmapProvide executives with visibility and confidenceBuild a delivery engine that delivers impact and projects that succeed

Key Results

A clear, enterprise aligned roadmap replaced fragmented activity

Leadership gained visibility and confidence in delivery progress

Early traction improved credibility and unlocked further sponsorship

The strategy and prioritisation ensured repeatable, scalable execution

Engineering

Performance Optimisation

Rebuilding Trust in a High Potential Data Team

Performance Optimisation

The Challenge

A construction company had invested heavily in its Data & Analytics team, but delivery remained unpredictable. Work was duplicated, bottlenecks persisted, and stakeholders felt their needs weren't being met despite a strong team on paper and big investment in tooling.

The Approach

Using VALSTR's Performance Optimisation, the organisation gained visibility into execution bottlenecks and inefficiencies across its data lifecycle. VALSTR's performance analytics layer surfaced systemic frictions, unstructured intake, inconsistent handoffs between capabilities, and unclear prioritisation. The platform's integrated modules allowed the construction firm to redesign its ways of working using proven, repeatable frameworks.

Objectives

Improve delivery reliability and throughputEstablish clarity of process, ownership, and expectationsStrengthen the team's credibility and confidence

Key Results

Delivery timelines became more consistent and transparent

Stakeholders reported improved trust and engagement

A repeatable, continuous learning process increased productivity

The team's influence grew as reliability improved and they took on AI responsibilities as a result.

Entertainment & Leisure

Use Case Generation

Carving Out a Positive First Step Into AI

Use Case Generation

The Challenge

A fast-growing leisure company wanted to "do something with AI," but internal ideas were scattered and unqualified. Teams struggled to tie opportunities to business outcomes or validate feasibility. They were worried about the risks and getting it wrong.

The Approach

VALSTR's Use Case Generation process helped the organisation systematically map business goals, customer-experience activities, and potential AI opportunities. The platform's pre-built content libraries accelerated discovery, while ICE-based scoring differentiated realistic opportunities from speculative ideas. This enabled the leisure brand to agree on a focused set of AI pilots designed to enhance personalisation and engagement whilst treading a path of value versus risk.

Objectives

Identify high-value, low-risk AI use casesBuild alignment across commercial, product, and digital functionsProvide a repeatable model for AI across the business

Key Results

A prioritised set of AI use cases tied directly to strategic goals

Clear, justification for early AI investment signed off by the Board

A pro-active risk framework to enable AI innovation to proceed without delay

A scalable, repeatable framework for all future AI ideation

Travel

Business Case Generation

Securing Investment for a Single Customer View

Business Case Generation

The Challenge

A global travel company wanted to build a Single Customer View (SCV) but struggled to quantify its commercial value. They data team knew it underpinned a lot of value but it was hard to articulate. Finance leaders needed clear evidence of impact, and delivery teams needed clarity on scope and risk.

The Approach

VALSTR used its Business Case Generation capability to quantify benefits using structured value-modelling approaches. Its data model linked SCV driven improvements to business goals, activities and use cases, providing a clear, auditable chain between capability uplift and commercial outcomes. The platform's templates and guided workflows ensured that cost scenarios, risk considerations, and value assumptions were all aligned.

Objectives

Produce a defensible business case for SCV investmentQuantify value across loyalty, personalisation, and conversionProvide clarity on risks, costs, and delivery feasibility

Key Results

A compelling business case secured executive approval and funding

Stakeholders gained a good understanding of value and risk

Delivery was initiated with clarity and confidence

The organisation had a repeatable pipeline of opportunities on the back of the SCV

Telecommunications

ICE Prioritisation

Bringing Discipline to a Chaotic Intake Pipeline

ICE Prioritisation

The Challenge

A telco's data function received overwhelming numbers of requests daily. Prioritisation was hard and felt political and reactive, and teams were constantly firefighting. The data function felt they were being given solutions not requirements and were unsure how to turn that around. They wanted to be more proactive but were being held back.

The Approach

VALSTR's ICE Prioritisation engine assessed each request using consistent, objective criteria - Impact, Confidence, and Ease. Automated scoring and visual prioritisation quadrants created clarity and removed emotion and pushed prioritisation to the Exec. Teams used the platform's unified views to communicate trade-offs and align departments around enterprise priorities, not individual agendas.

Objectives

Create a fair, transparent prioritisation methodFocus effort on the highest-value opportunities aligned to organisation goalsReduce stakeholder conflict

Key Results

A defensible, objective backlog replaced ad-hoc decision-making

Stakeholder tensions eased as transparency increased

Teams focused effort on highest-value opportunities

Team satisfaction increased and the teams reputation for driving value grew

Insurance

Operating Model Design

Embedding Governance in an Insurer

Operating Model Design

The Challenge

An insurer needed to strengthen its governance model to ensure data quality, compliance, and decision accountability based on concerns raised by the audit team and regulator. Existing roles and processes were unclear and inconsistent.

The Approach

Through Operating Model Design, VALSTR guided the insurer through defining governance structures, required capabilities, and cross-functional data flows. The platform helped map ownership across systems and functions ensured alignment across underwriting, actuarial, and claims.

Objectives

Define a clear, scalable governance operating modelClarify roles, responsibilities, and decision rightsReduce regulatory exposure

Key Results

A fit-for-purpose governance model aligned to regulatory needs

Improved data quality and decision accountability

Reduced compliance risk

The insurer switched from vague processes to well defined data flows.

Construction

Business Goal Alignment

Establishing a Foundation for greenfield Data & AI

Business Goal Alignment

The Challenge

A housebuilder, new to data and analytics, needed clarity on where to begin and how Data & Analytics would support organisational goals. Lots of scepticism about what it could do to help.

The Approach

Using Business Goal Alignment, VALSTR helped the organisation articulate its (previously poorly defined) strategic goals and the underlying business activities that drove the goals. Pre-loaded content and guided workflows allowed the team to quickly identify where data and AI could support growth, project delays and overruns, and customer experience. This created the organisation's first structured view of how Data & Analytics ties to business ambition - a "North Star" foundation.

Objectives

Translate strategic ambitions into Data & Analytics opportunitiesBuild early executive alignmentDefine a realistic, value-led starting point

Key Results

A clear articulation of how Data & Analytics directly enables business goals

Early alignment and sponsorship from executives

A switch from asking for solutions to providing requirements

A solid base for future transformation

Housing Association

Investment Modelling

Aligning Spend to Value

Investment Modelling

The Challenge

A housing association faced rising data-related costs without clear visibility of return. Leadership needed objective guidance on where investment would deliver the strongest value.

The Approach

VALSTR's Investment Modelling capability enabled them to compare scenarios, balancing cost, risk, and potential return. Its data model linked budget to business outcomes, making options transparent and grounded in value. Scenario modelling highlighted where spend would accelerate value and where it would not.

Objectives

Model spend scenarios and trade-offsProvide transparency for financial decisionsAlign spending with business needs

Key Results

Clear insight into critical, low value and non essential spend

Reallocation of spend to more valuable initiatives

Improved trust in financial governance

A repeatable approach to ongoing investment decisions

Insurance

ROI Tracking & Validation

Demonstrating the Value of a Data & Analytics Portfolio

ROI Tracking & Validation

The Challenge

An insurer had delivered dozens of data initiatives but struggled to articulate realised value. Executives questioned ROI, jeopardising future budgets.

The Approach

Using VALSTR's ROI Tracking & Validation capability, the insurer gained a view of how initiatives aligned to business outcomes and the agreed data strategy. The platform linked value to business goals and activities, validated assumptions, and provided executive-ready reporting.

Objectives

Initiatives to be tracked & aligned to valueValidate assumptions used in business casesStrengthen stakeholder confidence

Key Results

Executives gained visibility into delivered value

Sponsorship strengthened & budget increased.

Budget protection became significantly easier

Value became a central lens for decision-making

Entertainment & Leisure

Performance Attribution & Analytics

Supporting the Role of a Data Leader Under Pressure

Performance Attribution & Analytics

The Challenge

A data leader in a leisure organisation feared their role was at risk. Despite strong delivery at an activity level there was little evidence of the value generated for the business. The data leader was losing the hearts and minds of the Exec.

The Approach

VALSTR's Performance Attribution & Analytics capability mapped each activity to business goals and strategy. This provided the leader with factual, structured evidence of their team's impact. The platform highlighted replicable success factors.

Objectives

Attribute outcomes to specific data capabilitiesStrengthen the leader's credibilityBuild a clear, evidence-based narrative

Key Results

The leader secured renewed executive recognition

The organisation gained clarity on what data activities were driving value and often overlooked

Exec kept the data leader in role and stopped the search for a replacement

The data team were given more credit for work done where that credit was previously claimed by other business units

Building Society

Skills, Culture & Literacy Needs

Empowering the Whole Organisation to be Data Savvy

Skills, Culture & Literacy Needs

The Challenge

A building society needed to improve data literacy and leadership alignment. The data function struggled to influence effectively, despite high capability.

The Approach

VALSTR's Skills, Culture & Literacy Needs capability assessed skills, behaviours, and literacy across the organisation. Heatmaps revealed maturity gaps, and coaching was aligned to executive influence, strategic storytelling, and value-led communication. This was reinforced by VALSTR's frameworks for leadership alignment and its structured approach to building data-driven behaviours.

Objectives

Identify skill gaps and cultural blockersStrengthen leadership presence and alignmentBuild a more data-confident organisation

Key Results

Leaders gained confidence, clarity, and strategic presence

The data function secured stronger visibility in executive forums

Team cohesion and motivation improved

The organisation recognised data as a strategic value driver

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