Conversational BI Reporting: Leveraging Open Source tools for Data DemocratizationÂ
By MYBRANDBOOK
Udit Pahwa, Group CIO, Kirloskar Management Services
Business Intelligence (BI) reporting tools are essential for organizations to derive valuable insights from data. However, traditional reporting methods can be complex and time-consuming, requiring technical expertise. To address these challenges, adoption of a Conversational BI reporting tool powered by open source technologies was decided. This presents an opportunity to simplify data exploration, increase accessibility, enhance user engagement, and accelerate decision-making. This initiative’s objective is enabling data democracy and ensuring role-based data access and security; at the same time.
The objectives of the reporting tool include simplifying data exploration, increasing accessibility, enhancing user engagement, and accelerating decision-making. By utilizing open source we are creating intuitive and interactive user interfaces that allow business users to access and analyse data through self-service reporting. It further empowers them to build their own reports also. The conversational aspect enables users to interact with the tool using natural language queries or key words, fostering data democracy and empowering users to find insights. Additionally, role-based access controls ensure that users can only access relevant data and reports, maintaining data security and governance.
The benefits of open source tools in conversational BI reporting are manifold. Node.js, with its event-driven architecture and non-blocking I/O model, enables scalability and efficient handling of concurrent data requests. Its vibrant open source ecosystem provides libraries and frameworks for streamlined development and enhanced functionality. React.js, with its component-based architecture and virtual DOM, facilitates reusability, modular development, and responsive user interfaces. These features improve user engagement and ensure a smooth experience while interacting with the tool.
Columnar databases offer performance advantages by optimizing data retrieval and aggregation. They employ efficient compression techniques, reducing storage requirements and minimizing the storage footprint. This ensures that self-service reporting remains fast and efficient, even when dealing with large volumes of data.
Data security and role-based access are critical considerations in creating a self-service reporting tool. Open source tools, combined with authentication and authorization mechanisms, provide robust security features. Node.js and React.js enable the implementation of role-based access controls, ensuring that users only have access to the data and reports relevant to their roles and permissions. This maintains data governance and safeguards sensitive information.
A Data Lake is also being created that will collect data from the entire enterprise, including ERP, CRM, SCM, Planning and other functional applications, and present a single unified interface for data visualization. It will serve as a single source of truth for the entire enterprise.
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