A quality data stack typically will be made up of multiple technologies that are dedicated to various parts of the data lifecycle. These are tools that are used for data collection, cloud storage, transformation, analytics, and visualization. The appropriate combination is dependent on the size of the business, technical needs, budget and reporting needs. It's important for companies to not use the tools merely because they're popular. Rather they need to consider compatibility, scalability, security, and ease of maintenance. It's simpler to set up an effective structure that can grow with your company and meet the reporting requirements.