Komprise, a company specializing in unstructured data management, has introduced a new feature called Smart Data Workflow Manager aimed at simplifying automated data augmentation. While looking for specific attributes in massive collections of data can be daunting and time-consuming, the new tool can search, analyze, and pull data with speed and accuracy. Whether it’s looking for images of a design in a fashion archive or searching for a specific phrase within a library-sized set of documents, Komprise can make finding it efficient and easy.
Komprise already handles large-scale unstructured data, providing analytics and reporting on data usage and location. Its global search capability enables enterprises to locate data across their entire estate, regardless of the storage vendor. Data can be transferred from fast, expensive storage to more economical archival storage based on enterprise-wide policies.
However, the sheer volume of data collected is of little value unless it can be efficiently accessed later. Effective data retrieval requires an understanding of what the data is and where it is located. Without a well-curated index, this task becomes nearly impossible.
“Ultimately, companies are keeping unstructured data so that they can get value from it. So that their users can easily be able to find the data they need, no matter where the data lives,” said Krishna Subramanian, co-founder, president, and COO of Komprise.
The Smart Data Workflows feature allows Komprise to interface with external services to tag and index disorganized corporate data based on its content. Image recognition algorithms can analyze photographs or videos, while natural language systems process text. Each workflow enhances the existing Komprise global index, adding structure to the unstructured data.
Komprise functions like a data librarian for enterprises, tracking collections of documents, photographs, and recordings, noting down relevant details. By integrating with external tools through workflows, Komprise can automate the labor-intensive process of examining file content and cataloging it.
Even the most diligent reference librarian cannot review all the data generated daily within an enterprise: no human can tag every instance of the word “synergy” across a corporate SharePoint, or identify every image of a prototype tech product. Komprise can connect to external analysis tools designed to recognize these specific items, which can tag datasets for easy retrieval, allowing Komprise to then manage the data fed into these tools to control costs, focusing on high-value datasets. Once tagged, these datasets can be further analyzed, enhancing the corporate data library.
“It’s not limited to any one cloud, or any one account, or any one storage system, because we’re keeping it in a central place, across everything,” said Subramanian.
With its global perspective, Komprise can provide a shared data librarian service to the entire organization. Isolated storage dumps can become valuable sources for new processes, integrating with other knowledge bases for a comprehensive view.
At Duquesne University, Komprise has been used to process digital collections. For a retrospective on John F. Kennedy and his assassination, the university used a Komprise workflow linked to a cloud image recognition service.
“Instead of taking 20,000 minutes to look across 10,000 images to try to find the images that had JFK, they ran this workflow, and in less than two hours they’d sent the data to the cloud, got the answers and found nine matches,” said Subramanian.
Komprise is not attempting to replace specialized tools such as sensitive data detectors or legal contract language parsers. Instead, it aims to provide an easy way for customers to connect these tools to enterprise data in an organized, repeatable manner. Once set up, the Smart Data Workflows can run automatically, ensuring new data is appropriately processed. New data collections can be swiftly added to the knowledge base using the latest techniques.
This new capability from Komprise is significant, especially in the information age where few companies employ librarians to organize their data. AI systems can mislabel and misfile information, but this task often remains neglected. Companies amass vast amounts of data, some of which is useless, and some of which can be transformed into value – Komprise helps you identify what you don’t need and unlock the value you do.
