Content classification
This B2B SaaS product is a central hub which lets orgs discover,
scan, and classify all customer data no matter where it lives
#machinelearning
#database
#tables
Role
Research synthesis
Information Architecture
Visual design
Usability testing feedback
Product manager, Jesse
Product designer, Dimitar
Deliverables
Interactive tables
Walkthrough demos
Mini-design system
Duration
3 months
Customer problems & Project overview
Transcend customers have many internal systems that house their customer data, sometimes it's personal data. If there is a data breach and this data is not adequately secured, the company might be held legally liable❗
The outcome here is for companies to centralize all data across their systems, generate reports, and integrate them with other privacy workflows. In a nutshell, smarter data governance ✨
How the solutions performed
Currently 2/3 of all Transcend customers use this brand new feature, which was introduced just last year.
What did I learn?
We built an interface that handles 3 main problems:
A way to browse the folder structure of the database to see what's in it.
A way to see all the personal data our system could find in the database in one view
A way to train the machine learning model on how to find personal data specific to the company's needs.
Filtering through Data silos
Imported Databases are called 'Data silos'
Filter by:
✅ Data silo type
✅ Percentage classified
✅ Owner
Datapoints tab
Browse schema. The Data silo browsing experience
✅ Case 1 - User is opening a completely scanned Data silo
✅ Case 2 - User is opening a Data silo still scanning
✅ Case 3 - The scanned Data silo is empty
The training wizard
Now the scanning is complete, and all Datapoints are discovered, it's time to Train the machine learning model.
Transcend picks random columns, and wants you to confirm/deny the suggestions. How this works:
✅ Looks for patterns in the silo, and displays that match a data category
✅ Prompts you to confirm match or deny mismatch
Other states
✅ Case 1 - User attempts to Train a model while the Datapoints scan isn't complete
✅ Case 2 - User attempts to open a silo is discovered from Transcend's period scan
In the configuration tab, Silo discovery can be turned on so Transcend periodically searches
for new silos. These become available in the inactive tab
Discovering data collected by your Company; usually stored in enterprise
database systems like Oracle, Salesforce, Redshift. These come in as Data silos
See connected data silos
✅ Current actions running on the silos
✅ All data silo states
You're first faced with the empty state, and the CTA prompts you
to manually add your Database. They show up in the Active tab 👇
These cards show all the possible states of a Data silo
Final tab - Overview
This is the summary of the company data from all Data silos
Solution & impact overview
Currently 2/3 of all Transcend customers use this brand new feature, which was introduced just last year.
© January 2025