Give business users access to curated, reliable data
DATA CATALOG
Data Catalog enables technical users to share bespoke datasets that business users can access – securely – and work with via an intuitive interface.
Data is standardized, available on-demand without IT intervention, and always live.
Self-service data for business users
Non-technical users who need to work with data can often face delays trying to access the data they need. And by the time IT have created a specific export from a data warehouse, the data might even be out of date.
But with CloverDX IT can set up a data source once – with whatever filters and formatting that are required – and make it available to business users to access in the Data Catalog at the click of a button, whenever they need.
No delays, no inaccurate data, and no extra work for IT.
Managed by IT, accessible by business
Bridge the gap between IT and business with the CloverDX Data Catalog.
Highly technical users can design, automate and operate complex data pipelines, and publish the results – in whatever format is needed – to the people that need it.
And those non-technical users don’t need to learn a complex tool or learn code to be able to use the data.
Create powerful live datasets, usable at the click of a button
Requests to the IT team for data can often lead to a frustrating, time-consuming back-and-forth process, especially when data needs to be combined from different sources.
But with Data Catalog, you can not only publish raw data as stored in a database, you can also attach business logic to it in a CloverDX workflow, so you can share new datasets for business users to access.
For example: Publish a dataset of sales employees by revenue, created from tables in the accounting system and the CRM. Curate the dataset to show just the columns the users need, and make it available to users on-demand in the Data Catalog.
Save hours on repetitive data prep with Wrangler
Data Catalog is tightly integrated with CloverDX Wrangler - an intuitive interface that allows non-technical users to bring in data from sources in the Catalog and create repeatable transformation 'recipes' to run on them, without needing to code.
No more hours of repetitive data prep to get data into the required format.
Recipes can be re-run on new or updated datasets at the click of a button - especially useful when the same series of preparation steps needs to be done regularly.
