Our model is used throughout the public, private, and non-profit sectors to help organizations quickly implement solutions to the hardest people problems they face.
In the domain of data-driven decision-making, understanding complex patterns and human behaviors goes beyond basic data analysis. It involves an examination of potential, performance, and subtle intricacies not typically captured by standard analytical tools.
Traditional Large Language Models despite their strengths, do not entirely encapsulate these intricate aspects. Our Calculation Engine addresses this shortfall by augmenting LLM capabilities with additional, in-depth layers of analysis, providing a comprehensive solution for nuanced data interpretation.
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Start with your raw subjective and unstructured data, which may encompass survey responses, interviews, and various forms of feedback. Often, this data is too complex or extensive for direct interpretation.
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Utilize machine learning algorithms to uncover patterns, trends, and correlations within your data that may not be immediately obvious. Natural language processing enables the extraction of valuable insights from textual data, like open-ended survey responses, by analyzing sentiment, identifying key themes, and more.
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Match your analytical findings with predefined metrics such as customer and market sentiment, personality profiles, patient satisfaction scores, etc., to generate a scoring output. This process transforms intricate data analysis into actionable insights, typically represented as quantifiable metrics.
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Harness the power of Large Language Models to provide feedback or recommendations based on your data analysis. This might involve proposing interventions, pointing out areas for improvement, or giving personalized insights to enhance decision-making.
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