Data insights, articles and news

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Is This the Decline of SaaS and the Rise of Vibe-Coded Replacements?

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by James Ridgway

Is SaaS dead? Not quite. But something has genuinely changed. Vibe coding has made it cheaper and faster to build software than to buy it — and some SaaS subscriptions are already starting to look like an unnecessary cost. But the decline narrative misses something important. The hard part of SaaS was never the features. It was everything wrapped around them: security, compliance, uptime and accountability. Vibe coding hasn't changed any of that. This article sets out what organisations should actually do about it — and why the smartest move isn't replacing everything, but knowing which tools are safe to build, which aren't, and what needs to be in place to make ownership work long term.

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1st

July 2026

AI Software Development Data
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Who Owns What Gets Built? The Governance Gap at the Heart of Vibe Coding

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by James Ridgway

Vibe coding has made it possible for anyone to build tools that operational workflows quietly depend on. This article argues the real question is not whether something works, but who owns it, who is accountable for it, and whether governance exists to match the pace of adoption.

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19th

May 2026

AI Data
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Connecting the Invisible Dots: Data Before AI

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by James Ridgway

Most organisations think they know where their data lives. Ask them to prove it and the picture changes quickly. This article argues that data fragmentation is the single most reliable predictor of whether an AI initiative delivers value or quietly stalls.

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18th

May 2026

AI Data

Why Compliance Is Never Just a Tech Problem: Building Software for Regulation Requires Business Thinking Too

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by James Ridgway

In many boardrooms, conversations about regulatory compliance and software sound deceptively simple: “We need to comply with GDPR.”, “Our system must support ISO 27001.”, “We have to meet FCA reporting requirements.”.

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14th

November 2025

Data Software Development

Why We Favour an MVP Approach: And Why It Delivers Better Results

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by James Ridgway

In software development, one of the most common traps organisations fall into is trying to build everything at once. The result is often a long, expensive project that takes months (or years) to deliver, and when it finally arrives, it’s bloated with features nobody actually uses.

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20th

October 2025

Data MVP Software Development

How to Choose the Right Data Platform for Your Business: Warehouse, Lake, or Lakehouse?

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by James Ridgway

Data is now central to how organisations operate, compete, and grow. But before you can turn that data into insight, you need the right foundation.

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13th

October 2025

Data Software Development

How Medallion Architecture Turns Raw Data into Business Value

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by James Ridgway

Data is now woven into the fabric of how organisations operate. It holds the answers to better decisions, smarter products, and new opportunities, but only if it’s organised in a way that makes those answers accessible.

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10th

October 2025

Data Software Development

What Is a Data Lake, And Why It’s the Foundation for a Data-Driven Business

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by James Ridgway

Data is now one of the most valuable assets any organisation has. But before it can power smarter decisions, predictive models, or new digital products, it needs a place to live that is flexible enough to handle everything you throw at it.

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6th

October 2025

Data Software Development
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Attendee Tracking on Blecon: A Behind‑the‑Booth Look at Our Demo

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by Paul Ridgway

How The Curve used Blecon’s low‑power BLE stack and gateways to deliver robust people and asset tracking in sparse, off‑grid environments—summarised from a conversation between our CTO, James, and Blecon’s CEO, Simon Ford.

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1st

October 2025

IoT Events Partnerships Software Development Data
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Unleashing the Power of Data: The Benefits of Building a Data Warehouse

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by James Ridgway

Organisations are generating more data than ever before - through customer interactions, operations, financial systems, and digital products. Without the right approach, this information ends up siloed, inconsistent, or underused. A data warehouse provides a structured, centralised environment that brings all of this together. It doesn’t just solve technical challenges; it enables leaders to make better decisions, build trust in reporting, and create new opportunities for growth and innovation. In many cases, it also provides the foundation for more advanced initiatives such as automation, reporting dashboards and AI. There are many benefits to adopting a data warehouse, which I’ll cover below:.

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26th

September 2025

Data Software Development