Enabling leaders to deliver digital transformation

Meet the evolving digital needs in your organization and identify new opportunities with a future-proof data mesh architecture built in your secured environment.

Get value from day one

New data nodes can be developed and deployed into your secured environment within hours.

Each new data node is deployed with default analysis apps that provide immediate access and analysis capability. Bespoke apps, unique to your data and your needs, can be built in minutes.

Existing analysis scripts in other coding languages (e.g. R, Python) can be integrated into the data node and published as apps.

Once the node is deployed into the Data Portal, your team can start using analysis apps to analyze data on the same day.

Why this matters:

Return on investment from day one, instead of months down the road.

Milan Radovich, PhD,

Assoc. Prof. IU School of Medicine,

IU Health Vice President for Oncology Genomics,

Co-Director IUH Precision Genomics

ORIEN Network Scientific Committee Co-Chair

Read Dr. Radovich’s story

Promote data discoverability and interoperability

When both the data and analyses are FAIR (findable, accessible, interoperable, and reusable), you empower your team to accelerate time to value by rapidly and seamlessly connecting real world data sources to be easily analyzed by those with domain knowledge.

See How It Works

Learn About Data Mesh

Explore the Data Portal

Future-proof your data architecture with data mesh

With Tag.bio’s data mesh approach, each of your datasets are represented as modular data nodes that can communicate with one another using smart APIs. These nodes can be easily and independently added, updated, and removed without impacting other datasets.

Why this matters:
  • Deliver an agile, scalable response to new services and changes
  • As new real-world data emerges, you can seamlessly incorporate it into the mesh without disrupting your existing infrastructure

Flexibility and security in data governance

The Data Portal enables your organization to streamline data requests and access.

From the user interface, users can request the data nodes and types of data that they want access to and your team can approve the request in the same platform.

Additionally, any actions that your users take on the platform are automatically saved in the analysis history, providing you with complete transparency and auditability.

Why this matters:
  • Confident that your users have the right access to the right data
  • Deliver high-impact decisions by providing user with relevant, quality data
  • Meet data demands with an efficient data permission workflow
  • Peace of mind knowing that you have an audit trail on the actions taken on the data

Retain institutional knowledge

For your team of domain experts:

The data portal automatically saves any analysis activities that your team has taken and stores them in the analysis history.

Why this matters:
  • Your domain experts will be able to reproduce any useful data artifacts (UDATs) that they’ve discovered
  • If any of your team members transition, you’ll still have access to their analysis history

See Features for Domain Experts

For your team of data scientists:

When your data scientists build an analysis app or integrate their scripts (e.g. R, Python, Machine Learning) into the data portal, all of their code is saved and versioned.

Why this matters:
  • All scripts are instantly accessible to other data scientists for reference
  • If any of your team members transition, the analysis apps they’ve released on the data portal will still be accessible and reusable. The same applies for the source code.

See Features for Data Scientists

Let’s get the conversation started

From a 30-minute demo to an inquiry about our 4-week pilot project, we are here to answer all of your questions!