Years
0
Delivering technology solutions across 15 countries

The Challenge
Most BI initiatives do not fail because the technology falls short. Often, the platform was chosen before the problem was defined, the metrics aligned, or the reporting logic made explicit. By the time the dashboards arrive, the tooling is live but the confusion is still there.
Vendors are good at selling platforms, and organisations often buy them before they have agreed what the reporting is supposed to solve. The result looks like momentum: licences are active, dashboards exist, and the project appears to be moving. But the hard questions were never settled, so the platform arrives before the strategy behind it.
Our Approach
AI-assisted analytics and business intelligence as a strategy discipline, grounded in original research and refined through years of commercial delivery.
Every engagement starts with business objectives, stakeholder alignment and organisational readiness. Technology selection follows, not leads. This is the single most validated predictor of BI success, and we engineer it into every project.
We combine enterprise-wide data integration with iterative, business-process-driven dimensional modelling. A research-validated hybrid that delivers both strategic coherence and rapid time-to-value, with structured, reliable and well-modelled data foundations that support trusted analytics and AI-assisted insight.
BI is treated as an ongoing programme, not a one-off project. We deliver in controlled increments — 30/60/90-day cycles — where each release produces usable business insight, not just technical artefacts. Governance and architectural integrity are embedded from the outset, not retrofitted.
Cloud is an accelerator, not a shortcut. We evaluate suitability, acceptability and feasibility before deployment. Exit strategies, SLA scrutiny, cost controls, data residency and vendor risk are addressed upfront — preventing the ungoverned, expensive mess that hasty cloud adoption creates.
What the Market Says
Real pain points from organisations seeking BI and data strategy partners.
“We spent eighteen months and a seven-figure budget on a BI platform. We got dashboards nobody uses because the data underneath isn't trusted.”
— CFO, Insurance
What We Do
Business-IT alignment workshops, BI maturity assessments, and strategic roadmaps that connect data capability to business outcomes. We define the "why" before the "what" — ensuring analytics delivers results, not internal arguments.
Why Clients Choose Us
Proven Track Record
Years
0
Delivering technology solutions across 15 countries
Clients
0+
Across financial services, insurance, healthcare, telecoms and retail
Projects
0+
Delivered worldwide
NPS
0%
Client satisfaction score (H1)
Engagement Model
We follow a five-step model that aligns business and IT early, establishes the right data architecture, and drives adoption.
We assess your current BI maturity, data landscape and business objectives. Business-IT alignment workshops establish shared priorities before any technology is discussed.
We design a data architecture blueprint — business processes, grain definitions, conformed dimensions, delivery plan — tailored to your context and technology estate.
Controlled 30/60/90-day increments, each delivering usable business insight. Governance, testing and architectural integrity built into every cycle.
Technology selection, cloud deployment, reporting rollout and user training — delivered as an integrated programme, not disconnected workstreams.
Regular service reviews to assess data quality, adoption, business impact and alignment with your evolving strategy.
Market Positioning
| Criteria | Soho | Typical BI Consultancy |
|---|---|---|
| Starting point | Business objectives and stakeholder alignment | Tool selection and licensing |
| Methodology | Research-validated hybrid (Inmon/Kimball), agile delivery | Single vendor methodology or ad-hoc |
| Cloud approach | Workload-driven migration with due diligence, exit strategy and cost controls | Lift-and-shift or vendor-led |
| Data architecture | Enterprise-grade hybrid DW design with iterative delivery | Dashboard-first, architecture later |
| Semantic layer | Business metrics defined once, centrally governed, consistent across all reports | Ad-hoc, often duplicated or contradictory per report |
| Data lineage | Full source-to-consumption mapping; trust is auditable | Assumed, undocumented |
| Governance | Data lifecycle, security and EU compliance built in from day one | Governance as an afterthought |
| EU compliance | Data residency, GDPR, AI Act and security-by-design embedded from the start | Reactive, often retrofitted |
| Talent pools | European and Latin American — matched to role and domain | Single geography |
| Time-zone coverage | CET + Americas (GMT-3 to GMT-6) for follow-the-sun delivery | Single time zone |
| Knowledge transfer | Enablement, documentation and sustainable operating models | Limited knowledge transfer; ongoing reliance on consultant |
| Assigned contact | Dedicated Customer Success Manager | Key Account Manager |
| Service monitoring | Regular delivery and adoption reviews | No regular metrics |
Ready to build a trusted data foundation?
Schedule a conversation with our team to discuss your current BI landscape, your challenges, and how we can help you deliver decision-grade intelligence.
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