Organizations increasingly recognize that limited data customization restricts their ability to develop tailored solutions matching specific business needs and customer expectations. Without effective data modification capabilities, companies resort to generic solutions that fail to address unique customer challenges, resulting in inefficiencies, missed insights, and competitive disadvantage.
No-Code Development as Industry Trend
According to Forrester research, only 20% of enterprise decision-makers actively use business intelligence applications, while 80% depend on specialized data analysts. The report emphasizes that “legacy BI is dead” and identifies low organizational maturity in strategy, people, process, and data competencies as primary barriers.
Forrester research reveals a striking gap: only 20% of enterprise decision-makers actively use BI applications, while the remaining 80% depend entirely on specialized data analysts to access and interpret their data.
No-code platforms democratize development by enabling non-technical users to build customized applications without traditional coding skills. These solutions accelerate business responsiveness, reduce development costs through faster implementation and decreased reliance on specialized developers, and enable organizations to adapt swiftly to changing data requirements and market conditions.
Datafi’s Solution
Datafi’s Data App feature provides a transformative approach to data application development for users with limited or no coding expertise. Through an intuitive visual interface, users can design, create, and publish applications without code, enabling effective data leverage aligned with organizational objectives. The platform’s customizable data usage supports scalability, helping organizations adapt to evolving business needs while ensuring data productivity grows with organizational expansion and market changes.
The bottom line
Datafi’s Data App empowers the 80% of enterprise decision-makers who currently depend on analysts, giving them the tools to build and interact with data applications directly, closing the gap between data and decisions.
