📗Data Dictionary

The Data Dictionary provides a single repository of an organization's data assets with business friendly definitions and other details. This ensures a common understanding of the data an organization has and what it means, irrespective of how it is stored in multiple systems in different technical formats. Collectively, the descriptive details associated with the data are called organizational meta-data.

Key Features:

Clarista Data Dictionary tracks the following details as part of the meta-data:

1. Data Categories

2. Data Classifications

3. Data Definitions

4. Data Governance

5. Data Sources

6. Data Profile

7. Data Health

8. Data Usage

9. Custom Meta-Data (organization specific)

How is it different from other data dictionary tools?

Common Meta-Data all Analytics - Most data dictionaries have limited business usage, since these dictionaries only track meta-data. There is no way to leverage this meta-data for data analysis. Hence, if a business user analyzing a report or a dashboard has a question about a specific data metric or column header, she will have to go to different tool to find data definitions or to assess the health metrics of that specific data attribute.

In contrast, Clarista Data Dictionary is utilized by Clarista's Semantics layer, that serves as the unified source for all data. This ensures that different types of analytics configured within Clarista use standard data terms, and provide business context and health metrics on all data attributes to business users. This significantly enhances the value of the work done by data teams to maintain the meta-data.