Data Management

Row Level Security (RLS)

This feature allows users to implement granular access controls at the row level within their datasets. With row level security, users can define specific criteria or rules to determine which rows of data are accessible to different users or user groups.

Key benefits:

This feature has the following benefits:
- It mitigates the risk of insider threats, where authorized users may intentionally or accidentally access data, they should not.
- It provides an additional layer of security to prevent data leakage or misuse.
Centralized Data Manager

The Centralized Data Manager is a powerful module within Lumenore that revolutionizes the way users configure and utilize their data for creating insights using Self Service Dashboards, Natural Language Query or Advance Analytics. This feature allows users to create custom variables and hierarchies and apply data security at the schema level, eliminating the need to replicate/recreate these configurations for each module (Self Service Dashboards, Natural Language Query or Advance Analytics) of Lumenore.

Key benefits:
- With respect to data, this module empowers the data analyst’s community (within the organization) to manage it more effectively.
- This module allows them to implement consistent data configurations throughout the platform, ensuring that all modules (Self Service Dashboards, Natural Language Query or Advance Analytics) utilize the same variables, hierarchies, and security settings, resulting in reliable insights and reduced errors.
Analytical Variable

Lumenore now supports a wide range of SQL analytical functions. These functions provide users powerful tools to perform advanced data analysis and calculations directly within the platform.

Key benefits:

The feature significantly enhances user’s data exploration and reporting capabilities, allowing them to uncover valuable insights and make more informed decisions. Following are some of the high-level use cases that can be executed easily:
- Analysis of KPI trends over time
- Benchmarking using rankings and percentiles
- Determine rolling averages for smoother insights
- Conduct Year-over-Year (YoY) analysis