At Redica Systems, we know that regulatory and quality data is most valuable when it can be easily integrated into your systems of record, analytics platforms, and risk management workflows. That’s why we provide multiple options for accessing and consuming our data, so you can choose the approach that best fits your infrastructure, data strategy, and business needs.

We’ll highlight the 3 ways to access Redica data, as well as describe the types of datasets available, the controls you can expect, and show examples of what the data looks like.

1. API

Redica data can be made available via a database that can be exported and shared via API. Redica offers data exchange via Amazon S3 or secure FTP.

How it works:

Redica extracts tables from its Snowflake data warehouse and places them into structured files (CSV, Parquet, JSON). These are delivered to your S3 “loading dock” or secure file site. Your team can then ingest these files directly into your data lake, MDM system, or BI environment.

Best for:

Teams without Snowflake infrastructure.
Use cases requiring batch uploads at a defined cadence (daily, weekly, monthly).
Flexible file formats and offline integration.

Controls:

Customer-provisioned secure loading dock.
Redica-provided data schemas and dictionaries.
Export volumes aligned with contractual scope.

2. Snowflake Native Data Sharing

For customers already using Snowflake as their cloud data platform, this is the fastest, most scalable option. Leveraging Snowflake’s Secure Data Sharing capabilities, Redica Systems can share data with Customers who also use Snowflake as their Cloud Data Platform.

How it works:

Redica leverages Snowflake Secure Data Sharing to replicate its datasets as read-only objects directly into your Snowflake instance. Since our data already resides in Snowflake, no copying or movement is required—customers access live data in near real-time.

Best for:

High-frequency or large-volume data consumption.
Teams who want zero-ETL integration into existing Snowflake pipelines.
Customers needing near real-time access.

Controls:

Data is read-only in your environment.
Role-based access and governance enforced via Snowflake.
Data freshness aligned with Redica’s update cycles.

3. Sigma Workbook & File-Based Exports

Sigma is a data exploration tool that allows for data exchange, visualization, and manipulation. Redica uses these workbooks with customers for fast prototyping of new dashboards, data visualizations, relevancy scoring, and delivery of notifications and data. By leveraging Sigma’s native capabilities, Redica Systems can share data with Customers by allowing raw data download and exploration.

Once Redica provides access to Sigma, Redica can syndicate data to the Sigma environment based on a customer’s needs. A customer or partner can use Sigma to download / export the data they need.

How it works:

Sigma is a collaborative tool that allows you to filter, visualize, and download Redica datasets. Customers can explore prebuilt dashboards, test custom queries, and export raw data for downstream use.

Best for:

Teams who want to validate use cases before investing in integration.
Business users who prefer low-code/no-code access to data.
Fast prototyping of dashboards and reports.

Controls:

Access scoped to authorized users in Sigma.
Ability to export filtered datasets for offline analysis.
Workbook-level governance with version control.

Inside Redica’s Data

Redica aggregates global regulatory and enforcement data into a unified data model, linked through a proprietary Redica ID. This ensures consistent mapping of sites, inspections, documents, people, and enforcement actions across disparate sources. Data tables are provided to customers as a scema view, with a supporting data dictionary and data descriptions.

Here are some of the fields captured and labeled in the data across our products:

Site Data

General site details
Proprietary risk scores by inspection reason, inspection outcome, enforcement actions, inspection length, and type of inspector

Enforcement Document Data

General 483 metadata
Observation details mapped to quality systems and risk scores
Proprietary risk scores by quality system label

People Data

General inspector or investigator details
Observation text mapped to inspector or investigator

Inspection Data

General inspection details of global inspections including outcomes and linked documents.

Enforcement Actions Data

General enforcement action detail across FDA 483s, Warning Letters, Import Alerts, MHRA Deficiency Reports, etc.
Citation details including CFR codes, CLIIL codes, Health Canada citations.

Regulatory Documents Data

General regulatory documents details including rules, guidance, journal articles, announcements, with Redica labeling for industry, scope, and themes.

Redica’s Data-as-a-Service gives you flexible options for integrating regulatory and enforcement data directly into your workflows. Whether you need seamless access through Snowflake, structured file delivery, or quick exploration with Sigma, each approach provides the same trusted datasets enriched with Redica’s risk models and controls. The result is reliable, ready-to-use intelligence that supports better decision-making across compliance, quality, and regulatory teams.

Request a Demo to See How Redica Can Work for You.

Powering Quality & Regulatory Intelligence

Redica transforms how life sciences teams navigate compliance. From regulatory change monitoring to inspection readiness and vendor risk management, connect every data point within a unified, intelligent workspace. Designed for collaboration and enhanced by Redica AI copilots, it delivers faster insights, sharper decisions, and greater confidence in regulatory strategy. With the new Redica, every regulatory signal, change, inspection report, and enforcement trend is integrated with where you work and connected in one intuitive platform.