By matching the rigor of traditional market research with proven data science, People Pattern helps you construct your audience identity in a fraction of time. We leverage complex data science techniques to put structure to unstructured social data and have built the largest and most accurate audience repository. This enables market research as well as audience analysis and enhancement at scales never seen before. By putting the power of our home grown Machine Learning algorithms in the hands of market researchers we are helping extract better insights, develop deeper personalization and drive smarter data driven decision making than ever before.
Several years ago, while developing cutting edge marketing solutions which leveraged social data at Spredfast, Ken Cho realized that data collected from social platforms was not truly being taken advantage of. He understood that all companies must ensure that their services and marketing efforts are personalized, provide ongoing value, and continually win the hearts (and share of wallet) of their customers. This is traditionally done through market research, but traditional market research is broken and cannot keep up with the expanding reach that modern technology is providing to more and more customers.
Traditional market research provides great insights but relies on poor data. Nobody answers surveys anymore, and the people who do hardly ever answer them honestly. Yet there is a vast ocean of open and public opinions which have no bias. This is the ocean of social data, which is growing exponentially. Unfortunately, most modern social marketing platforms do nothing more than count hashtags or mentions, there is no true analysis happening and no customer intelligence being provided.
This is when Ken realized that it was the marriage of the two, traditional market research and the vast amount of opinions available in social data, that would be the next generation of market research. The key to this was the need for natural language processing and machine learning. This is where Ken partnered with professor Jason Baldrige Ph.D. to provide deep machine learning, exploratory data analysis and natural language processing research to develop the world’s best audience intelligence solution based on unstructured social data. This allows companies to remove the silos around traditional marketing and social marketing, and leverage social data to provide value across the whole organization. Insights are developed faster and customers can be activated directly on the relevant social platforms.
Ken has held roles in finance and tech at IBM, Lehman Brothers, and Enron (read those stories here). He later founded Spredfast, a SaaS platform that allows organizations to manage, monitor and measure their social media programs.
Ken has an Economics degree from Wesleyan and an MBA from the University of Texas at Austin. He will maintain for eternity that Oasis is the world’s greatest band.
Steve was previously the Director of Data Sciences at W2O Group and founded Ravel, an enterprise grade analytics solution for discovering insights from big data. His specialties include web software and services, social media data management, data analysis with Hadoop and related technologies, data analysis with Spark and related technologies, documented data-stores, graph databases, statistical methods, predictive analytics, time-series analyses, graph algorithms, machine learning algorithms and textual analysis.
Omid Reza Sedaghatian brings expertise in product design and strategy to the People Pattern team. This is from his years of experience engaging with both customers and engineers, and translating market needs into product features and workflows. He has worked with both SaaS and On-premise technologies and has a strong background in big data from his work at data focused companies such as Dun & Bradstreet. With his unique experience and training in areas such as Human Centered Design and Pragmatic Product Management, Omid is able to develop a unique understanding of market needs and package those into user friendly products, services, and experiences.
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