"You have done a commendable Job. It is a very useful tool. I can see the sincerity and your dedication in the way you have shown each aspect of the tool. It will make a life easier for many. A very useful and unique concept." -Head IT, manufacturing company

"Solution by KG team to manage our legacy application and reporting requirements, provided when it was most needed in a short period. Team has done a tremendous job despite having no previous knowledge of the base application or database. No migration was required to a different database which resulted in cost and time saving. The solution was immediately accepted and acknowledged by senior management of the bank." -Vice President - IT, German Based ,
Investment Bank.


Dashboard/Report Analysis

DB Luminous is complemented by a comprehensive dashboard that provides the user with the ability to instantly view the environment's intrinsic details. The dashboard reveals a status of all data dictionary processes.


The initial stage involves a collaborative effort among the Stakeholders to define the data dictionary according to the company's data Governance policy. The process involves closely working with users when building the information repository.

  • Unique Data Element TM
  • Functional Grouping
  • DB Object Definitions & Grouping
An exclusive reference is assigned for each unit of information used in the application. It is a standard reference and an easy way to understand the data dictionary database content.

Comparative Analysis

The comparative analysis feature is built to draw out the differences that exist between two databases and also ones that exist within a single data dictionary database.

  • Impact Analysis
  • Mismatch Analysis
  • Schema Comparison
  • Data Comparison
  • Process Impact in Database
  • Dot Net Source Code Comparison
The impact analysis feature allows carrying out any planning and executing Regulatory changes or column modifications within the data dictionary. Specific information present in the application can be easily referred using this feature.


The audit feature provides information about the changes taken place within the database/schema. The feature is also capable in locating the root cause if utilized effectively.

  • DML Audit
  • Schema Audit
An audit and analysis of CRUD (Create/Read/Update/Delete) done on any table and the related database source code, to help to do an in-depth analysis faster.


The control feature helps in identifying the role and access of users using the data dictionary.

  • Role based Access Controls
The access to the database can be controlled based on "need to know" or "need to change" basis. Specific access rights can be assigned to stakeholders like developers and testers.