Skip to main content
~3 minute read

1. True data democratization across your organization

Self-service analytics platforms enable non-technical business users to explore data independently — without using IT resources. Data democratization breaks down existing data access barriers and allows business users to obtain insights in their moment of need, supporting a culture of data-driven decision-making.


2. Data-driven decisions – get real-time insight into critical business trends

Self-service analytics allows non-technical users to access the data they need by leveraging AI through an intelligent search interface. This enables users to see ‘net change’ information in a standard enterprise dashboard or report and personalize the data sort, filter, and output criteria. They then can drill into the source data to determine root causes and actionable insights, all without experiencing data access limitations or using IT resources.

3. Reduce IT analyst backlogs & overhead

Most legacy business intelligence (BI) & reporting tools require a large team of analysts or developers to create reports and dashboards. In comparison, modern self-service analytics platforms require minimal IT implementation or ongoing IT maintenance resources. With a platform like, almost any organization can implement self-service analytics capabilities in about 30 days and require little (if any) ongoing maintenance resources.


4. Business users get instant answers to any queries

Self-service analytics platforms can interpret English language questions and convert them into database queries (SQL) in real-time. This ability fundamentally alters the paradigm of how business users get answers to their data queries and questions.

User leveraging natural language interface for database system to query data in their own words through self-service analytics


5. Better data governance

Modern self-service analytics platforms inherit the existing data governance frameworks to control user data access rights. This feature enforces data security and governance rules without adding another layer of data access administration.


Common mistakes to avoid 

Not all self-service analytics platforms are created equal. Some legacy technology solutions have complicated user interfaces and require significant IT resources to re-engineer data, implement and test the platform, and train users. A modern self-service analytics platform should require zero user training, be implemented in about 30 days with no data re-engineering, and only need a week of the organization’s IT resources. enables your users to access the data they need with the velocity necessary to propel consistent data-driven decisions, with no training and no coding knowledge required. 

Want to schedule a demo or learn more? Connect with the team at →

The Chata Team

Author The Chata Team

More posts by The Chata Team