Define your taxonomy
Classify your data the way it makes sense for your organization. Add as many domains and levels as you need depending on the complexity of your data.
Set up your Roles
Define roles and which actions can be performed by users with those Roles. Data Owner, Editor, Publisher, Director, etc. Use your own language.
Assign roles to users
Decide which users hold a position/role in a specific domain of your taxonomy. Users may have different roles/permissions on different domains or you can organize the through groups
Types of Concepts
Business Terms, KPIs, data dimensions, policies, etc. Define the types of concepts you want to manage and the set the form fields for each of them.
As a data consumer, filter and quickly find the concept you are looking for. Download the filtered list to a file or perform a bulk load of concepts.
Manage the concept
Use a simple workflow to approve concepts publishing for the rest of the organization. Before publishing only users with defined roles will be able to see the changes.
Connect your data
Link your business concepts to your data allowing navigation to data dictionary features.
Import your Data Strutures
Using Truedat connectors automatically import all your metadata. Run this import periodically to mantain your metadata up to date.
See your data structures details, document addtional information and navigate to business glossary definitions or data lineage.
Make sense on what is happening on your Data Governance platform. Are you governing everything under your umbrella?
Choose Lineage or Impact
Perform impact or lineage analysis from your metadata. Metadata is loaded in the application automatically.
If you want to know the truth let the machine load your data without manual intervention.
Follow your data path
Where is your data coming from? What is the impact on changes from your data sources? Using an easy interface analyse how your data is flowing through your systems.
Not interested in knowing the flow at the lowest level? Use drill-up/down capacities to explore the Data Lineage at the level of your choosing
Define Required Quality
Define Quality Rules related to your business concepts. Set your rule goal, threshold and quality principle to help you in further analysis.
Apply quality checks
Through easy implementations decide to which data you want to apply the defined quality rules.
Analyse your quality results against your goals. Define your quality principels and use them as additional analysis dimension.