How a business intelligence platform cut steps to access analytics by 80% with secure embedded dashboards
A business intelligence platform helping Sales, Accounts, Marketing, and Operations teams track performance and make data-driven decisions through a unified web application needed to make analytics easier to access without compromising data security. Users had to leave the application to access analytics through separate systems, creating friction and reducing dashboard adoption, while different departments needed strict, granular access to their own data. Flentas implemented a secure embedded analytics framework, delivering personalized dashboards directly within the application with department-based and row-level access controls.
- A business intelligence platform
- Unified BI platform
- Sales, Accounts, Marketing & Operations teams
- Cross-department analytics adoption
- Departmental data isolation via row-level security
- 100%
- Fewer steps to access analytics
- 80%
- Reduction in analytics administration effort
- 75%
Fragmented access and manual governance limiting analytics adoption
As analytics adoption grew across the organization, usability, security, and operational gaps began holding back wider adoption.
Fragmented user experience
Users had to leave the application to access analytics through separate systems, creating friction and reducing adoption.
Data access and security concerns
Different departments required access to different datasets, and without granular controls, there was a risk of users viewing information beyond their authorized scope.
Manual administration and scalability limits
Managing dashboard access across departments required significant manual effort, making it difficult to onboard new teams or scale without additional infrastructure overhead.
An embedded, role-governed analytics layer on a serverless backend
Flentas designed a secure embedded analytics framework that delivered personalized dashboards directly within the existing application.
Integrated interactive dashboards directly into the application using Amazon QuickSight, allowing users to access insights without leaving their existing workflow.
Implemented department-based access control so each department only sees dashboards relevant to its role, backed by row-level security to ensure users only access authorized data.
Built a centralized dashboard mapping framework to automatically present the right analytics experience based on a user's department and role.
Implemented a scalable serverless backend using AWS Lambda and API Gateway to dynamically manage dashboard access and authentication, eliminating dedicated infrastructure management overhead.
More secure, more accessible, far less admin overhead
Stronger data security
With department-based access controls and row-level security enabling 100% departmental data isolation.
Improved user experience
With embedded analytics reducing the number of steps required to access dashboards by 80%.
Reduced administrative effort
With automated dashboard management cutting analytics administration effort by 75%.
Faster department onboarding
With new departments onboarded in hours instead of days.
Infrastructure simplification
With 100% elimination of dedicated analytics server management.
Built on the AWS serverless & analytics stack
- Amazon QuickSight
- Angular
- Amazon S3
- Amazon RDS
- Amazon DynamoDB
- AWS Lambda
- Amazon API Gateway
What BI platforms usually ask about this kind of embedded analytics build
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