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    • 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.

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    • 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.

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    • 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.

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    • 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...

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    • 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. 

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