As organizations seek to design, build, and implement data and analytics capabilities, they are pressed to reinvent and reorient their data architectures—as well as justify these activities with ROI measures. From the cloud-native data warehouse and data lakehouse to data mesh and data fabric, a range of architecture patterns and enabling technologies have come to the forefront of modernization discussions. Likewise, many organizations right now are eyeing new strategies and solutions to enable more agile and responsive data and analytics systems. Ultimately, moving to a next-generation architecture is a journey; not a sprint. Download this special report for key considerations to succeed along the way.