By using no-code and low-code technologies to democratize data and analysis, one may empower people, enhance decision-making, lower the cost of hiring talent, and customize analysis to meet company needs.
Democratizing data and analysis within organizations is a goal for many business leaders, but the timing of implementation is crucial. To determine when to empower data citizens, certain criteria can be considered. Democratized data science, facilitated by analytics software with no-code and low-code tools, allows individuals to leverage data science techniques without extensive coding knowledge. This approach enhances decision making, promotes self-reliance, and enables self-service data analysis. Additionally, it addresses the shortage of data scientists, reduces talent costs, and offers scalable customization for specific business needs. Ultimately, democratizing data and analysis can lead to improved outcomes and greater efficiency in organizations.