DataScava’s unstructured data miner provides companies with fast and effective solutions for leveraging the digital world’s explosive growth of data, 90% of which is estimated to be unstructured by 2022. Domain-specific and data agnostic, DataScava provides results you can see, control and measure.
Our proprietary non-NLP parser mines unstructured textual data for input to AI/ML and other data-driven solutions. It uses our patented “Weighted Topic Scoring” methodology to curate the most relevant and highly precise documents from huge data sets.
Since it operates on an alternate principle to AI, it provides a unique adjunct to AI environments to filter input and measure output. In addition, it uses a top-down analysis approach that informs the data filter based on corpus-level statistics, as opposed to AI systems which begin at the word level.sure.
DataScava can provide a true competitive advantage to companies in finance, technology, healthcare, insurance, manufacturing, the public sector or any other industry seeking to maximize the transformative power of data.
Impact the Bottom Line
Ease of use and transparency make DataScava accessible to both technical and non-technical people, enabling cross-discipline collaboration and a rapid path to efficiency and productivity.
It empowers data scientists, data analysts, programmers and business people alike by automating time-consuming unstructured textual data preparation and mining tasks, positively impacting the bottom line.
As you tune the system using your subject matter expertise and set automatic data filters that can work for you around the clock, the system’s capabilities grow and provide measurable benefits you can count on.
Proprietary Data Parser
DataScava uses your business-specific language to find, index, score and compare data points for your use in data curation, prediction engines, business analytics and production systems, delivering verifiable results fast.
Our domain-specific NonSemantic Search Engine provides visibility, visualization, real-time scoring and highlighting of data points that help you draw insights and make more accurate business decisions.
Weighted Topic Scoring
Datascava is the first and only product to offer Weighted Topic Scoring, which provides results you can see, control and measure. Users can select all topics of interest, weight their significance, adjust them on-the-fly, and rank the output.
You can home in further using multi-level sort to drill down on specific data criteria, bringing key results quickly to the top. Search templates, editable topic libraries, percentile rankings and “not” capability allow for drill-downs so you can get to the precise data you need.
A Patented White-Box Approach
DataScava keeps the Human in Command using a white-box approach and is fully customizable.
Built upon our U.S. patents in “Profile Matching of Unstructured Data,” DataParser, DataIndexer, DataScorer, DataSearcher and DataMatcher convert unstructured textual content into precisely structured data for your use.
Unlike NLP systems, DataScava uses the jargon of your industry, not general linguistic and semantic libraries. You can create searchable document indices based on your own custom topics and their associated keywords and define weighted search criteria that you control.
Garbage In, Garbage Out
In AI, Machine Learning and data-driven systems, the quality of the output depends on the quality of the input. With bad data, applications produce results that are inaccurate, incomplete or incoherent.
By extracting precise user-defined business information from unstructured textual data, DataScava can help ensure input data is high quality, relevant and useful to your business.
It can also serve to measure relevant output to help you do a reality check on your assumptions.
DataScava’s open architecture makes it simple to connect and share data via SQL or the REST API in event-driven models. Whether used on its own 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.
DataScava Powers TalentBrowser
DataScava’s story is backed by real results: it powers TalentBrowser, industry’s only Automated Job Matching, Skills Assessment and NonSemantic Search Engine.
For more than a decade, management consultants, investment banks, Fortune 500 firms, staffing companies and others have benefited from TalentBrowser’s ability to find exceptional talent for jobs.