Uncovering the Power of Unstructured Data
The biggest opportunity for organizations today is hidden in plain sight: Industry analysts estimate that 80–90% of enterprise data is unstructured. With AI-powered tools, companies can finally turn that content—spanning SharePoint integration, OnBase content management, contracts, and decades of files—into clear, actionable answers.
What makes unstructured data so challenging?
Most business-critical knowledge doesn’t sit neatly in a database. It’s buried in PDFs, contracts, policies, and email archives. Traditional search tools return lists of documents, not the specific answer you need. That wastes time, creates duplication, and makes it harder for employees to do their jobs.
Unstructured data is messy, scattered across repositories, and often hard to trust. That’s why many organizations have only scratched the surface of its potential. Learn more about our approach to enterprise content management solutions.
How is AI changing the game?
AI—specifically retrieval-augmented generation (RAG)—is rewriting the rules. Instead of hunting through dozens of documents, users can ask questions in plain language and receive direct, accurate answers from their own company data.
Key benefits include:
- Accuracy: Unlike public AI models, enterprise RAG eliminates “hallucinations.”
- Security: Existing permissions from systems like OnBase services or SharePoint solutions carry over seamlessly.
- Speed: Answers come instantly, not after hours of digging.
- Scalability: Works across millions of records, not just one department’s files.
Explore more about AI-powered automation and intelligent data solutions.
Why not just use public AI tools like ChatGPT?
Public AI tools are great for brainstorming, but they weren’t built for business. They:
- Prioritize engagement over accuracy.
- Can’t respect enterprise security or permissions.
- Put sensitive information at risk if employees paste content into them.
Enterprise-ready AI, by contrast, connects securely to your repositories, ensures compliance, and delivers answers you can trust. See how our AI integration services and technology partnerships make this possible.
How does DataBank help?
At DataBank, we partner with organizations to capture, manage, and surface the value of their unstructured data. That partnership looks like this:
- Integrating directly with your existing repositories – not replacing them.
We connect to OnBase, SharePoint, legacy ECMs, and line-of-business systems so your content stays where it is. By leveraging existing APIs and connectors, we eliminate risky migrations and accelerate adoption. - Respecting the permissions and security you already have in place.
Our solutions inherit native access controls, audit trails, and compliance rules from your repositories. That means sensitive documents—like HR records or patient charts—remain protected without duplicating or weakening security models. - Starting with practical proof-of-concept projects that show value fast.
We identify one high-impact workflow—like invoice processing, claims intake, or audit retrieval—and deploy a small AI-powered pilot that can prove ROI in weeks, not months. These early wins help build internal momentum for broader automation. - Guiding governance and compliance so innovation happens safely.
Our team works alongside your compliance and IT stakeholders to establish metadata standards, retention policies, and explainable-AI guidelines up front. This foundation keeps every future use case auditable, fair, and sustainable.
It’s not about adding another layer of complexity—it’s about helping you get more out of the data you already have.
What’s next?
The future lies in bringing structured and unstructured data together—at scale. Imagine pulling customer records, financial metrics, contracts, and decades of policy documents into a single view, then asking natural-language questions across all of it.
A key enabler of this future is AI-powered document processing. By automatically capturing, classifying, and extracting data from incoming documents—whether invoices, claims, or historical PDFs—IDP turns previously unsearchable content into structured information that feeds analytics, automation, and AI assistants.
With those layers working together, organizations unlock a new level of visibility and agility:
- Insights surface faster because content becomes query-ready the moment it’s captured.
- Decisions get clearer because structured and unstructured data now share a common language.
- Employees focus on impact rather than hunting for files or re-keying information.
That’s where organizations are headed: a world where every document is both actionable and accessible, enabling faster insights, cleaner processes, and a future-ready foundation for AI.
Ready to level up?
Most companies don’t need more data. They need more value from the data they already have. With the right AI-powered approach, that’s finally possible.
This fall is the perfect time to rethink how your teams access unstructured data—and to explore how DataBank can help you unlock it.
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