Relationships between tables and data sets is crucial for any reporting and analytics. Those relationships are often unclear and can span across databases. Dataedo reads foreign keys from the database to the data dictionary, allows you to extend this information with manually defined relationships, and visualizes them with ER diagrams.
Data sources in your organization can hold hundreds or thousands of tables and data structures. It might be hard or impossible to make sense of this. Dataedo helps you manage this complexity by allowing you to create subject areas and use them to organize large data sets.
Dataedo allows you to map data dictionary elements to terms in integrated business glossary – a global list of terms and definitions in your organization. This allows you to provide more meaning and definitions to data, add a voice from the business to data assets and make the documentation of data structures easier for IT.
Dataedo makes it easy to capture tribal knowledge from your team and share it across the organization with central metadata repository.
Dataedo allows you to connect and scan metadata from multiple sources and build data dictionary automatically in a couple of minutes.
It’s easy to keep data dictionary up to date with data sources – just connect again and metadata will be synchronized.
Automate and schedule metadata imports and documentation shares with command line.
Dataedo does not impact data structures in your source databases. All documentation takes place in the repository.
Data is safe in your environment locked in SQL Server/Azure database. Your metadata is not stored on our servers
Data dictionary decrypts data in your organization and often is necessary to be able to use it.
With data easier to find and understand, business can work with data on their own, without help of from IT.
No single person knows it all. Get people that understand your data and allow them to collaboratively build documentation of your data in central repository.
Did you ever wonder what would happen to your data, analytics, BI, data warehouse if key people left? Would new people be able to take over, how long would that take, and how much would that cost? Data dictionary serves and documentation that protects your knowledge and allows to pass it easily to new people.
Are some people or partners the only gateway to some of your data? Get independence and ask all your people and teams working with and building data assets to get them documented with Dataedo. With that you will decide who and how will make use of your data.
Understanding purpose of tables and columns and how to join tables reduces risk of bugs in SQL and getting incorrect, misleading results.
With documentation of data, business and analyst community can find and use the data without the support of the IT.
When business can be self-reliant, those key data gurus can now spend less time answering questions and preparing simple queries, and can on high value-added work.
Allow your people to spend less time looking for data and trying to make sense of it and, and spend more time getting insights and finding patterns.
Central reference documentation of data improves communication between all the parties involved - architects, developers, analysts, developers, business, and various teams and suppliers.
Allow new hires get to speed, independently, with comprehensive documentation.
Describe the purpose of data warehouse tables, columns and show table relationships for better BI and self-service analytics and reporting.
Share documentation of data sources - purpose of tables and columns and relationships between them to allow self-service analytics to business and analyst community.
Document databases as you design them and share the design with every developer.
Gather and store knowledge about legacy databases as you discover and learn them.
Build and share metadata repository of data assets in your organization.
Document both, source and destination, databases so architects and developers can design and understand the logic for the migration.
Document complete data model of your organization data assets and explain relationships between databases.
Whenever you are outsourcing development and there is a data component secure yourself with documentation so you can use the data in the future.
Packaged applications have large, complex and confusing databases. Vendor documentation only includes standard elements. Document customizations and use specific to your organization.