Here is a neutral and interesting 1-paragraph summary of the text: Building a world-class data operations team requires careful planning and consideration of several key factors. First, it's essential to rule out barriers to getting started, such as small scale or complexity, performance or regulatory compliance standards, and specialized software production. Next, organizations must decide whether to migrate or start fresh, considering the cost of ending existing contracts and compatibility with products and services intended to be kept. Evaluating tools and technologies is crucial, including data warehouses, integration tools, business intelligence platforms, and transformation layers. Calculating total cost of ownership and ROI involves comparing existing workflows with alternatives and considering costs, benefits, and opportunity costs. Establishing success criteria based on time, money, labor savings, expanded capabilities, successful execution of new projects, reduced turnaround time for reports, reduced data infrastructure downtime, greater business intelligence usage, and new available and actionable metrics is also vital. Finally, setting up a proof of concept involves testing products in a low-stakes manner to measure performance against standards for success.