The software development landscape has undergone significant changes over the years, with software now constantly evolving and updating in a live environment. This shift has carried everything else along, including data teams, which are now working in a live environment, collecting and storing vast amounts of data that require curation and analysis to make informed decisions. The ability to collect and store data has increased exponentially, but the complexity of managing this information has also grown, leading to challenges such as identifying what data is important, when it's used, and how it's used. As a result, companies need to integrate data-driven decision-making, being selective about which data is analyzed and how that analysis impacts business intelligence and ultimately, business decisions. The integration of data observability and visualization will play a crucial role in addressing these challenges.