How a modern data stack supports data maturity

The concept of data maturity is crucial for businesses to evaluate their utilization of data effectively. Data teams play a significant role in extracting value from organizational data and laying the groundwork for advanced analytics projects. A modern, cloud-based data infrastructure can serve as a bridge from the beginning of your data journey to the final stages of data maturity. The stages of data maturity involve moving from descriptive analytics to diagnostic, predictive, and prescriptive analytics. Data-driven businesses are more likely to grow revenue and have a competitive edge. A modern data stack, consisting of automated data integration, cloud data warehouse, data transformation tool, and business intelligence tool, supports data maturity and advanced analytics by providing seamless access to all data sources and promoting universal data sharing.