Data Center
Manage the data powering Prescient
The Data Center centralizes the data that powers Prescient. From here, you can set up and manage your data connections, monitor connector health, and organize campaigns for modeling and reporting. Keeping this information current helps ensure accurate attribution and forecasting.
Integrations
The Integrations tab shows the systems Prescient reads from and writes to.
These provide information used by your models, such as:
- BigQuery
- Snowflake
- Fivetran
- Ecommerce platforms
- Advertising platforms
- Analytics systems
Each integration displays its current status. Select an integration to review its credentials or connection details.
Channels
The Connectors tab shows the individual data feeds powering your models.
Connectors may include:
- Advertising platforms
- Ecommerce stores
- Retailers and marketplaces
- Analytics platforms
- Retail media sources
- Media vendors
For each connector, you can review its type, current status, last successful sync, available historical data, and connection date.
An Active status means Prescient is successfully receiving data. Review any warning or error status to prevent gaps from affecting your models and forecasts.
Tactics
The tactics tab organizes campaigns into the appropriate modeling groups.
You can review:
- Labeled campaigns
- Unlabeled campaigns
- Channel
- Campaign name and ID
- Historical spend
- Assigned tactic
Review newly imported or renamed campaigns regularly to make sure they remain properly classified.
Best Practices
- Keep all material revenue and media sources connected.
- Resolve connector errors quickly.
- Add major promotions and business events before model reviews.
- Check for unmapped campaigns after launching new media.
- Contact your Prescient team before removing or replacing a historical data source.
Key Takeaways
- Data Center is the central location for managing Prescient’s model inputs.
- Integrations and Connectors show where data comes from and whether it is syncing.
- Tactics ensures media is organized correctly for attribution and forecasting.
Updated 15 days ago
