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Major pharmaceutical seeks to understand the caregiver experience
Technology Category
- Analytics & Modeling - Machine Learning
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
- Pharmaceuticals
Applicable Functions
- Product Research & Development
- Sales & Marketing
Services
- Data Science Services
- System Integration
The Challenge
C Space, a leading customer agency, was tasked by a global pharmaceutical brand to analyze a community of caregivers of individuals with schizophrenia. The challenge was to uncover key issues, communication channels, and resources important to caregivers from nine months of feedback. This feedback included open-ended survey responses, discussion threads, journal entries, and photo comments. Analyzing these diverse datasets as a single corpus was critical for uncovering themes and trends, but it was a complex and time-consuming task. The client wanted to ensure they were not missing higher-level insights by focusing too much on individual data points.
About The Customer
C Space is a prominent customer agency that connects major global brands with their customers through various methods, including private online communities, facilitated co-creation, live events, workshops, data analytics, and creative services. They manage communities that cover a wide range of topics and formats, such as surveys, journals, and forums. A significant portion of their data is unstructured text, which is highly valuable but challenging to analyze. One of their clients, a global pharmaceutical brand, sponsored a community of caregivers for individuals with schizophrenia. This community provided valuable insights into the caregivers' experiences, which the pharmaceutical brand aimed to understand better.
The Solution
C Space turned to Luminoso, an AI-powered text analytics application, to analyze the brand’s multiple streams of unstructured text. Unlike traditional solutions, Luminoso does not require data training, libraries, or ontologies, making it versatile across various industries and use cases. By automating the analysis, C Space could deliver rapid findings from months of data. This top-down approach allowed consultants to surface high-level trends while examining specifics more closely. Using Luminoso, the C Space team merged data from dozens of projects, analyzing it in one place, which provided a comprehensive view of the caregivers' experiences and sentiments.
Operational Impact
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