Question 1

What is the Evionas Autonomous Data Accelerator?

Accepted Answer

The Autonomous Data Accelerator (evionasda.com) is Evionas's proprietary internal platform used on every client engagement. It generates certified data architecture packages — including Canonical Data Models, Infrastructure as Code (Terraform/Pulumi), data pipeline code, data quality frameworks, and governance artefacts — automatically. This is what allows Evionas to deliver in 4–16 weeks what Big 4 firms take 6–18 months to deliver.

Question 2

What is a Canonical Data Model (CDM) and why does it matter?

Accepted Answer

A Canonical Data Model (CDM) is an industry-specific, authoritative semantic model that defines what every business entity means — not just how it is stored. Without a CDM, every source system has its own definition of 'Customer', 'Transaction', or 'Product', creating O(n²) integration complexity. A CDM reduces this to O(n) — every source maps once to a canonical representation, every consumer reads from one certified truth. Evionas builds industry-specific CDMs for FinTech (Basel III/IV, MiFID II), RegTech (GDPR, FCA SMCR), Healthcare (HL7 FHIR R4, NHS), and Retail.

Question 3

How does Evionas compare in cost to Big 4 consultancies?

Accepted Answer

Evionas is 50–70% lower cost than Big 4 equivalents, at 60–75% faster delivery. A Platform Sprint (4–8 weeks, £25K–£75K) is the Big 4 equivalent of £120K–£300K over 3–6 months. A Platform Build (8–16 weeks, £75K–£250K) is the Big 4 equivalent of £350K–£1.2M over 6–18 months. This cost and speed advantage is a direct consequence of the Autonomous Data Accelerator eliminating the repetitive, manual work that makes Big 4 engagements expensive.

Question 4

What industries does Evionas specialise in?

Accepted Answer

Evionas specialises in regulated industries: FinTech, RegTech, Healthcare, Retail, InsurTech, and Energy. Each vertical has a dedicated Canonical Data Model implementation in the Autonomous Data Accelerator covering regulatory requirements — Basel III/IV and MiFID II for FinTech, GDPR and FCA SMCR for RegTech, HL7 FHIR R4 for Healthcare, and GDPR Golden Record for Retail.

Question 5

Why are 85% of big data projects failing?

Accepted Answer

According to Gartner (2026), 85% of big data projects fail to deliver business value. The root causes are structural: fragmented data across 12–40 disconnected systems with no canonical semantic layer; point-to-point integrations that multiply as O(n²); absence of data governance resulting in regulatory exposure; and data quality failures that prevent AI models from reaching production (87% of data science initiatives never reach production). Evionas addresses all of these through its CDM-first approach and Autonomous Data Accelerator.

Question 6

How do I engage Evionas?

Accepted Answer

The recommended first step is a 45-minute discovery call. Contact Evionas at hello@evionas.co.uk or via the contact form at evionas.co.uk. We listen to your specific data challenge and provide an honest assessment of what we would build and how long it would take — no sales pitch, no generalities.