Stratifyd is a software company specializing in Connected Intelligence solutions that help organizations turn complex data into actionable insights. Stratifyd provides a data analytics platform designed to unify both structured and unstructured data sources, uncover hidden themes, and deliver actionable intelligence for business decision-making.
Their core offering leverages augmented intelligence, using unsupervised analytical techniques to reveal the "unknown unknowns" within vast data sets. This enables users to identify patterns, opportunities, and risks that traditional analytics tools may overlook. Stratifyd's platform is used to optimize areas such as medical insights, customer intelligence, brand management, and experiences across contact centers, products, and employees.
How Was Stratifyd Started?
Stratifyd was founded by a team with deep expertise in healthcare and customer experience: Don McDaniel, a seasoned healthcare executive, and Cindy Marshall and Sean Albertson, both customer experience (CX) experts. Their backgrounds inform Stratifyd's focus on bridging the gap between insights and business outcomes for organizations that operate in complex, data-rich environments. Learn more about their story on the About page.
Who Uses Stratifyd?
Stratifyd primarily serves large enterprises and global brands. Their customers include:
- Top 25 financial service firms
- Fortune 50 software companies
- Top 20 global pharmaceutical brands
- World-recognized consumer packaged goods (CPG) and retail brands
- Multi-billion dollar healthcare organizations
- Leading telecoms and utilities
These organizations use Stratifyd to analyze customer feedback, business processes, and operational data in order to drive better outcomes and competitive advantage.
What Makes Stratifyd Different?
Unlike many analytics platforms, Stratifyd applies augmented intelligence with unsupervised rules, meaning it can surface insights that users may not know to look for. This approach helps organizations go beyond basic reporting to discover deeper themes and trends hidden in their data.
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