CHICAGO, Nov. 01, 2022 (GLOBE NEWSWIRE) — Evolving with the times, the leader in unstructured financial data, Social Market Analytics (SMA), has rebranded itself as Context Analytics (CA).
When SMA was founded over 10 years ago, they were faced with the question that so many clients had asked them: what should I do about all the conversations on Twitter that impact my trading? They were heavily focused on social media data in the beginning. Over time, clients have asked new questions, such as “Can you help me programmatically review corporate documents, ESG (environment, social and governance), earnings transcripts, etc. .?”
“When we created SMA, we built our process right from the ground up, which allowed us to help customers as their needs changed,” said SMA Founder and CEO Joe Gits. “As we have added new datasets to our product offerings over the years, we have received many comments that our name no longer truly reflects what we do. account because we had a strong commitment to social market analysis, but we realized it’s time for our branding to better reflect where we are as a company today, including all the growth in beyond our starting point.
So, going forward, it’s background scans. The new magnifying glass logo reflects their desire to help clients easily find context and value in the financial world’s mass of textual data. “The name may be new, but our mission is the same: to be the leader in unstructured financial data. We have many new products and solutions, so if you haven’t spoken to us in a while, give me a call. ” Gits said. CA remains committed to the superior quality, agility and integrity that customers have known it for and will never stop keeping pace with the cutting edge of unstructured data innovation.
If you would like to learn more about CA offerings, please email [email protected] or schedule a demo using this link.
About context analysis: A financial data analytics company that researches, cleanses, structures and analyzes textual data for actionable insights and business intelligence. Founded in 2011, CA has developed intellectual property in four major FinTech areas: Sentiment Natural Language Processing, Source-Agnostic Text Analytics, Complex Topic Modeling, and Source Accuracy. CA provides the finance and marketing communities with new sources of data to evaluate financial datasets, improve returns and reduce risk.
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