The landscape of data utilization among technology leaders has shifted over the past several years. With the increased availability of data comes a need to be strategic around which data to collect and how to use it. This report draws insights from TSIA's 2022 Data and Analytics for Revenue Growth Survey. Results from the survey reveal a prevalent reliance on internal sources of data, and highlight the challenges posed by limited access to external data. This report will also review the relationship between a team's analytical capabilities and its handling of diverse data types, and will shed light on the prevalence of structured data analysis and the relatively lower adoption of advanced technologies like artificial intelligence and machine learning.