How high-performing data teams align business goals, data strategy, and technology to build trust that lasts
Posts Tagged ‘ETL Tools’
Build Strategy First. Choose Technology That Deserves It
Introduction Every organisation has lived this story. A new data platform or AI tool promises to fix everything. Budgets are approved, contracts are signed — and a few months later, the same problems remain. Dashboards don’t align, pipelines still break, and confidence in the numbers keeps slipping. For Dylan Anderson, Head of Data Strategy at Perfusion, the real issue isn’t the technology itself — it’s where teams choose to begin. “Vendors are great at selling the idea that their product will solve all your data needs,” he says. “But strategy isn’t about buying more tools. It’s about helping the business reach its goals using data, technology, and AI in the right way.” In this episode of Data Matas, Dylan joins host Aaron Phethean to explore why strong data strategies always start with purpose, and how honest, outcome-driven technology earns its place in the stack.
The Smart Way to Connect Mixpanel to Your Revenue Data
Mixpanel gives you brilliant product analytics. Funnels, retention, user journeys. You can see exactly what users do in your application. But as teams mature, they start asking questions Mixpanel can't answer on its own. Which users are most valuable? Which marketing campaigns drove high-value customers? How does feature usage correlate with revenue? The most valuable insights come from connecting Mixpanel data to the rest of your business. User behaviour linked to revenue outcomes. Product engagement joined to marketing attribution. Feature usage correlated with customer lifetime value. That's what becomes possible when you extend Mixpanel with a warehouse-first approach.
Three Things Every Data Leader Should Kill Before Building Another Dashboard
Most organisations are drowning in dashboards that no one trusts. In this Data Matas episode, former Worldpay and FIS data leader Phil Thirlwell explains why the key to better decisions isn’t building more it’s stopping first. He breaks down how dashboard sprawl, KPI overload, and service-desk habits create chaos, and how treating dashboards like products can rebuild trust. Phil shares practical ways to simplify metrics, prioritise outcomes, and run data teams with purpose. The takeaway: fewer dashboards, clearer decisions, stronger alignment between data teams and the business.
How to kill dashboard sprawl, service-desk habits, and KPI overload to rebuild trust in data.
From Tool Mastery to Systems Design: How Data Engineers Actually Grow
Many data engineers plateau after mastering tools but struggle to scale because they haven't learned to think in systems. This blog explores how transitioning from query writing to system design is the key to sustainable growth, effective mentorship, and resilient analytics platforms.
How to Deliver a Zero-Risk ETL Transformation
The term “zero-risk ETL transformation” may sound ambitious, but it’s real, proven, and achievable. With Matatika’s phased rollout, rigorous testing, transparent pricing, and post-deployment efficiency, it’s no longer a buzzword, it’s best practice. ETL doesn’t have to be hard. It just has to be done right.
Transforming Manufacturing Data Management with Matatika’s ETL Solution
Data is as essential to manufacturing today as any raw material. Yet, while most manufacturers generate valuable data across their operations, fragmented and siloed systems often keep them from putting this information to effective use. Matatika’s ETL (Extract, Transform, Load) solution is designed specifically for manufacturing’s data challenges, enabling teams to unify, automate, and harness real-time insights across their operations.
Why SaaS Data Pricing Models Are Costing More Than They Should
SaaS ETL Tools pricing is broken. Too many businesses are stuck with platforms that charge by rows, gigabytes, or arbitrary metrics, pushing costs higher without delivering real value. It’s a model that inflates SaaS data costs, forcing companies to pay more for data that doesn’t always lead to better insights.
Slash Your GA4 Costs by 99.4% Without Compromising Performance
Managing large amounts of data can quickly become expensive, especially for companies using platforms like Google Analytics 4 (GA4) in Snowflake. Many ETL platforms charge based on the volume of data processed, leading to high costs without added business value. At Matatika, we offer a solution that helps you save up to 99.4% on GA4 costs while maintaining high performance. Here’s how our cost-based pricing model works, and why it's more effective than traditional ETL platforms.
Business Intelligence Consulting: 10 Key Considerations Before Choosing a BI Partner
What separates a best-in-class business intelligence consulting company from rest? Let’s unpack the key considerations when choosing a data consulting partner - one that ensures your data is complete, accurate and delivers outstanding business intelligence insights and therefore exceptional ROI...
How ETL Tools fit into a forward-thinking data-platform-approach to BI
Imagine a modern, centralised platform that integrates commercially supported ETL (extract, transform, load) connectors / plugins and reputable open-source ETL tools. This platform would streamline data management by unifying data from various sources, ensuring consistency and reliability. Not to mention, the fixing of any fundamental data accuracy issues in the process.