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4 minute read
Data Archive Intelligence is the Sagan Agents module that turns an organization's existing market research, decks, datasets, claims data, and CRM records into a queryable, AI-searchable insight management platform, with every answer traceable back to its source. It's the "affordable" piece of Sagan Agents specifically because it isn't built from new research spend. It runs on studies your organization already paid for, and full access to it is part of ZoomRx's no-cost pilot.
The Real Cost Problem Data Archive Intelligence Solves
Pharma brands typically spend $1 to $5 million or more per year on primary market research, and most of that work ends up sitting in a slide archive that's never queried again. An estimated 35 to 45% of the questions asked in a typical research project have already been answered in some form in past studies, just not in a place anyone thought to look. (We break down these numbers in more detail in What Is Sagan Agents?) Data Archive Intelligence exists specifically to close that gap, turning research you've already paid for into an asset that keeps paying off.
What Is an Insight Management Platform, and How Is Data Archive Intelligence Different?
An insight management platform, sometimes called a research repository or enterprise insights platform, is a system built to store and organize an organization's market research, so past studies, reports, and data can be found and reused rather than re-commissioned. It's a distinct, established category in market research technology, built around the idea that research shouldn't be discarded after one use.
Most insight management platforms and repositories, though, are built primarily to store and organize research, someone still has to search, read, and manually synthesize across documents to get an answer. Data Archive Intelligence is built to do more than store: a person asks a question in plain language, and the system searches, synthesizes, and returns a cited answer, rather than a list of documents that might contain one.
How Data Archive Intelligence Works: Ask, Answer, Deliver
Ask
A person queries their entire research history in plain language, quant datasets, qualitative reports, claims data, CRM records, all as one conversation across every source, rather than searching each one separately.
Answer
The system returns a sourced, cited response, with every data point traceable back to the original deck, dataset, or transcript it came from, so the answer is defensible under scrutiny rather than a summary with no way to check it.
Deliver
Rather than stopping at a written answer, agents generate the actual deliverable a stakeholder expects, a PowerPoint deck, an Excel analysis, or a Word brief, ready to use rather than something that still needs to be built from a chat response.
Why This Is the "Affordable" Module
Data Archive Intelligence doesn't require a new research budget to produce value. It's built from research an organization already commissioned and already paid for, so every answer it surfaces is closer to free than a newly fielded study would be. It's also the one part of Sagan Agents included in ZoomRx's no-cost pilot at no charge: full access to Data Archive Intelligence, populated from an organization's existing ZoomRx research archive, plus self-upload for additional reports, qualitative transcripts, and internal documents, with nothing required to get started.
That value also compounds. Every new study fielded through Agentic Market Research feeds back into the same archive automatically, so the foundation gets richer over time instead of the value of each study expiring the moment the deliverable is filed away.
Not a Generic Model Pointed at Your Files
Data Archive Intelligence isn't a general-purpose AI tool with your documents uploaded to it. It runs on top of ZoomRx's 15+ years of pharma-focused market research, a 60,000+ HCP and patient panel, and 700M+ proprietary benchmark datapoints, the same domain foundation that underlies the rest of Sagan Agents. That's part of why it can recognize pharma-specific concepts on its own, rather than needing them explained from scratch the way a generic AI chatbot would. (We cover this specific gap in general-purpose tools in why generic AI tools fall short for pharma market research.)
Traditional Research Repository vs Data Archive Intelligence
| Comparison Criteria
|
Traditional Research Repository |
Data Archive Intelligence |
|
What it does |
Stores and organizes past research documents |
Stores, searches, synthesizes, and answers in plain language |
|
Getting an answer |
A person searches, opens, and reads multiple documents |
Ask a question, get a cited answer across every source |
|
Source verification |
Manual, document by document |
Every data point traceable to its original deck, dataset, or transcript |
|
Output |
The documents themselves |
A cited answer, plus a ready-to-use deck, spreadsheet, or brief |
|
Cost to use |
Included in the tool's license, but the manual work remains |
Built from research already paid for; included in the no-cost pilot |
Put Your Existing Research to Work
The fastest way to see what's already sitting in your research archive, unanswered, is to ask it a question directly. Visit the Sagan Agents page to see the full platform, or use the form below to start a conversation about a pilot.
Frequently Asked Questions
