Using Product Search
What is Product Search?
Data consumers can use Product Search alongside the platform’s categories, tags and filtering functionality, to more quickly and seamlessly discover data.
Without needing knowledge of the exact product name, users can enter use full or partial queries, to search for attributes and metadata that available for products and assets visible to them.
The functionality can be used in one of two ways:
Option A: Via Homepage (if enabled on your Homepage by a Platform Admin)
Navigate to your Organization’s Homepage.
Click inside of the search bar that is located in the middle of the Homepage.
or
Option B: Via The Exchange
Navigate to The Exchange.
Click in the search bar below the “Browse data products” heading.
For context on how the functionality and matching occurs, see the technical guidance located here: Homepages
How to Use Product Search
Begin to type your search terms.
As you type, you will see the results will update below based on the indexed metadata. The search will return ranked results that will always resolve to products, even when matching occurs at the asset or metadata level.
Once you see a data product that looks appropriate to your use case and intent, click on it to be redirected to the Product page.
From here, you can assess the Product’s relevance using the description, metadata, sample and dictionary attributes before subscribing.
If the current product is not deemed suitable, return to Product Search to browse additional options available to you. Happy searching!
Best Practice
To maximize discoverability through Product Search, Producers should:
Use clear, descriptive product titles: Avoid internal naming conventions or abbreviations that may not align with consumer search intent.
Write concise, value-focused descriptions: Descriptions should clearly state what the product contains and the problems it helps solve.
Apply accurate categories and tags: Categories and tags remain important signals for both filtering and search relevance.
Maintain consistent terminology: Use language that reflects how consumers are likely to search for the data, rather than how it is described internally.
Keep metadata up to date: Regularly reviewing and updating product metadata improves ongoing search relevance.