This article discusses common pitfalls in data modernization, emphasizing that focusing solely on technology leads to stagnation. It highlights the importance of treating data as a product and integrating modern engineering practices to achieve tangible returns from cloud investments. The white paper offers insights from successful companies like Gilead and Roche.

Data trust is not achieved through a single tool but rather through addressing numerous small failures throughout the data lifecycle. The article illustrates this concept using a real-life incident of clickstream data discrepancies, highlighting the importance of rigorous practices in instrumentation, testing, and pipeline management to prevent data trust erosion.