Federal, state, and local governments offer troves of information related to all manners of people, places, and things. IRS and SEC filings, property records, zoning, and variance applications, licensing, census, and administrative records, are just some of the sources System2 has utilized in the past.
Read MorePublic discourse on Twitter, Reddit, or other platforms signals sentiment and behavior, which can be used to forecast or identify trends, hot spots, and ex-consensus ideas.
Read MoreThe raw material of litigation, including docket entries, party information, briefs, and metadata contains insights about stakeholders, case value, legal trends and signals, and the merits of the cases themselves. System2 has used these records to model expected liability, provide expert witness support, and gain competitive intelligence and lead scoring.
Read MoreHandwritten notes, free text, photos and even strings of numbers contain valuable insights that are inaccessible to computational analysis without a schema or map. It’s estimated that over 80% of enterprise data is unstructured, offline and illegible for analysis. System2 uses advanced A/ML and NLP techniques to extract and organize unstructured data to bring it into the data science light.
Read MoreDownload and usage data signals user growth, consumer behavior, and competitive intelligence. Combined with data and domain expertise regarding the ecosystem, this data can reveal deeper insights around channel sales, geographic penetration, partnerships, and strategy.
Read MoreConnections between websites, the development tools they incorporate, and the flow of information between them reveal commercial relationships, emerging SaaS trends, and consumer behavior. In an e-commerce ecosystem, System2 has converted these digital fingerprints into a cipher to understand transaction data, solve funnel leakage, and disaggregate revenue streams.
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