16 questions to ask about your real-time data strategy

Since the 1960s, the computing power of devices has increased exponentially, yet many organizations still rely on outdated batch ETL processes for data management. The advent of real-time data processing offers transformative opportunities that batch processes cannot match, such as optimizing supply chains and enhancing customer experiences. Despite its potential, real-time data has not been widely adopted due to the comfort and familiarity associated with batch processing, giving a competitive edge to early adopters in industries like healthcare, financial services, and e-commerce. Implementing a successful real-time data strategy requires understanding the specific needs of business users and data engineers, ensuring it complements existing data management strategies without compromising financial performance. Organizations must evaluate their current infrastructure, team skills, and data sources to transition to real-time data effectively, considering tools like Tinybird that facilitate real-time data processing with SQL-based interfaces and managed services to minimize operational burdens.