DataScava’s proprietary data parser and customizable Non-Semantic Search engine index, quantify, analyze and compare unstructured data so you can gain insights and make business decisions that are more accurately informed.
Weighted Topic Scoring provides results you can see, control and measure. There’s no hidden “black box” in our approach. Users themselves define the significance of all topics of interest and adjust them on-the-fly as needs arise.
Our system uses your business information to locate precise results and match your specific requirements, recognizing industry-specific language — your domain jargon — to unlock the value of unstructured data for your organization.
Instead of relying on the general, relatively shallow vocabularies of AI and Semantic systems, you’ll gain insights and make decisions based on the data that’s most appropriate to the specific needs of your market, industry and company.
Built upon our U.S. patents in “Profile Matching of Unstructured Data,” DataParser, DataIndexer, DataScorer and DataMatcher convert text-heavy unstructured information into precisely structured data, then translate it into millions of usable data points and verifiable results—fast.
Our tools provide percentile rankings, editable topic libraries, and “not” capability that allows for precise drill-downs. They focus on “navigational” search, seeking a path to the specific documents you need, rather than “research” search, which aims to identify a wider set of references that software deems relevant to the user’s intent.
(Learn more https://en.wikipedia.org/wiki/Semantic_search).
DataScava’s open architecture makes it simple to connect and share data via SQL or, in event-driven models, the REST API. Whether used as a standalone product or integrated with your existing business applications, the platform is highly customizable.
From the start, data sources you designate are accumulated in the data store, to be indexed and re-indexed as you adjust and improve the model you use. Users identify the principal free-form inputs for the system—such as business reports, reference data, surveys, news, journals or research papers—and also the desired outputs of data for use in other platforms.
Over time, the system builds on the history of your organization’s use to increase its domain knowledge. That means new users can take advantage of the most up-to-date information, and even use the system as a learning tool.
Real Business Solutions
DataScava was designed to provide businesses with fast, effective solutions for leveraging the digital world’s increasing scope of unstructured data. By some estimates, more than 90 percent of the world’s digital information will be unstructured by 2022. If your company isn’t ready to face that challenge, its business can’t help but fall behind.
Our tools can be applied to a variety of applications such as to collate and filter news alerts to keep you on top of industry developments; monitor research, compliance, social-media messages, internal emails and other public sources; highlight events that will impact your business strategies; job matching for talent acquisition.
DataScava lets you identify and analyze the information you need — the information that matches your requirements. It builds a knowledge base that grows continually and can be applied to functions throughout your organization. As data’s role in your success grows, DataScava’s capabilities grow along with it.
DataScava Powers TalentBrowser
DataScava’s story is backed by real results: it powers TalentBrowser, Automated Job Matching, Skills Assessment and Non-Semantic Search technology. For more than a decade, management consultants, investment banks, Fortune 500 firms, staffing companies and others have relied on TalentBrowser to identify exceptional talent.