DataScava helps companies leverage the digital world’s explosive growth of data, 90% of which is estimated to be unstructured by 2022.
It uses your domain-specific language and business jargon to curate the most relevant documents from large datasets for use in AI/Machine Learning, prediction engines, business analytics and production systems, delivering verifiable results fast.
DataScava provides 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.
You don’t need to be a Data Scientist or Software Engineer to use DataScava, but you can be.
Weighted Topic Scoring
DataScava is the first and only product to offer patented “Weighted Topic Scoring,” which finds and filters the most relevant documents from large unstructured data sets, providing highly precise derived data and results you can see, control and measure.
Users can create, select and adjust all topics of interest on-the-fly, weight their significance, and rank the output. They can home in further using multi-level sort to drill down on specific criteria, bringing key results quickly to the top.
Customized Company-Specific Search Templates and Topics Libraries, percentile rankings and “not” capability help you get to the precise data you need. Real-time scoring, visualization and highlighting of data points empower you to draw better insights and make more accurate business decisions.
Proprietary Domain-Specific Parser
Our data agnostic parser converts unstructured textual content into precisely structured derived data and searchable document indices.
Built upon our two U.S. patents in “Profile Matching of Unstructured Data,” DataScava uses customized domain-specific topics and your business jargon to index, search, score and match unstructured textual data points.
We don’t use any form of generalized Natural Language Processing (NLP), Natural Language Understanding (NLU), Semantic Search, linguistics or fuzzy logic which ensures DataScava is accessible to both technical and nontechnical users.
White-Box Approach, Human In Command
DataScava keeps the Human in Command through a white-box approach that uses human intelligence (not artificial intelligence), machine training (not machine learning) and industry-specific information.
It empowers business users, data scientists, data analysts, and software engineers by automating time-consuming unstructured textual data preparation and mining tasks, positively impacting the bottom line.
Through use, as you continue to train DataScava using your subject matter expertise and automatic data filters that work for you around the clock, its capabilities grow, providing measurable benefits you can count on.
Control Input, Measure Output in AI/ML
In AI/ML and other 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, avoiding the problem of garbage in, garbage out.
Since DataScava operates on an alternate principle to AI, it provides a unique adjunct to AI environments to filter input and measure output to help you do a reality check on your assumptions.
It also uses a top-down analysis approach that informs the data filter based on corpus-level statistics, unlike AI systems which begin at the word level.
DataScava Powers TalentBrowser
DataScava’s story is backed by real-world results.
It powers TalentBrowser, industry’s only Automated Job Matching, Skills Assessment and Domain-Specific 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.