Analytics relies on a successful data foundation; it must be backed with the right data and processes.
Consumer demand for usable data has increased the need for data engineering. Data and analytics leaders can mature their data engineering practice by delivering data products, automating release processes, proving business value early, eliminating operations overhead and fostering collaboration.