Merit Data and Technology Ltd

35% of your #marketing data decays every single year. That is one in three contacts working against you before you even hit send. The problem is not your #strategy. It is the #foundation underneath it. Get your score here: meritdata-tech.com/marketing-data…

If your last list gave you a 30% bounce rate, you already know the problem. Fresh data is not a #feature. It is the #foundation. Happy Friday. Go into the weekend knowing your #pipeline is built on something real.

Your #B2B contact list was built live. Just not this year. Most data providers will hand you a list pulled from #LinkedIn, cleaned up and sold as "fresh." What you actually get is a snapshot of the #market from whenever they last updated. At Merit, our #database size is zero.

Every #contact list we build is researched live, from multiple sources. Not just #LinkedIn. #Websites. #News. Social media. Industry directories. If they are not on LinkedIn, we still find them. If your competitors are not looking there, that is your advantage.

People have changed jobs since then. Companies have restructured since then. Decision makers have moved on since then. But the invoice is very much current. Not a flex. A method.

We helped a UK construction leader ditch legacy PERL for a cloud-ready, AI-compatible platform. Results: 30% lower costs; 40% better dev productivity; 35% faster releases. Read the case study: meritdata-tech.com/case-studies/c… #LegacyModernisation #AI #ConstructionTech #EnterpriseAI

80% of IT budgets just keeping legacy systems alive. That's not maintenance, it's a slow bleed. Read the case study: meritdata-tech.com/case-studies/c… #LegacyModernisation #ConstructionTech #EnterpriseAI #MeritDataTech

3 in 5 #healthcare #AI deployments fail to meet #regulatory requirements at scale. Not because the #technology is wrong. Because accountability was never built in. Read more: meritdata-tech.com/resources/huma… #HealthcareAI #AgenticAI #HumanInTheLoop #AIGovernance #HealthTech #ResponsibleAI

#MeritDataTech #AI #EnterpriseAI #DataInnovation #TeamMerit

Winning Best AI Innovation at the Global Business Tech Awards 2026 is a moment we will cherish. Building AI solutions that do not sit in a deck or a demo, but run in production, moves the needle & transforms how enterprises operate at scale. #GlobalBizTechAwards #BestAIInnovation

That starts with taxonomy-first, OEM-mapped intelligence -- tracked in real time, structured for your workflow, not someone else's. How many of these five are true for your team right now?

5 signs your product strategy is built on the wrong data Most automotive data comes pre-packaged. Extracted once. Sold many times. Mapped to no one's actual workflow. By the time it reaches your product team, trim configs have changed, pricing has shifted.

The automotive market is moving faster than ever. EV transitions. Regulatory shifts. Supply chain volatility. The teams winning aren't the ones with more data. They are the ones whose product strategy speaks the same language as their market.

4. Aftersales is running on approximations Parts matching and diagnostics aligned to how vehicles were estimated to be built. 5. Data engineer touches every dataset before it reaches your dashboard If your BI pipeline needs manual cleaning upstream, the problem's the data source

1. OEM taxonomy alignment is manual – Your team is reconciling data manually, a workaround, not a scalable process. 2. Spec updates arrive too late – Trim launches, powertrain changes, and pricing shifts reach you weeks after market moves. 3. Regional go-to-market is misaligned

Legacy systems rarely fail overnight. The real question is not whether to modernise legacy platforms. It's what the cost of not modernising actually looks like. Try it here: meritdata-tech.com/legacy-moderni… #LegacyModernisation #DigitalTransformation #EnterpriseArchitecture #Innovation

Your enterprise AI may sound impressive. But would it pass an audit? This blog explores the foundations of Defensible AI: meritdata-tech.com/resources/defe… Take the challenge, test your score across the core pillars, and see if your AI strategy is truly enterprise-ready.