Case Studies Major pharmaceutical seeks to understand the caregiver experience

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	Major pharmaceutical seeks to understand the caregiver experience

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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 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.

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.

Impact #1	Instant analysis of nine months of multi-channel text data.
Impact #2	Surfaced previously unknown caregiver sentiments, concerns, and segment nuances.
Impact #3	Quickly addressed messaging and resources to implement changes.

Impact #1

Instant analysis of nine months of multi-channel text data.

Impact #2

Surfaced previously unknown caregiver sentiments, concerns, and segment nuances.

Impact #3

Quickly addressed messaging and resources to implement changes.

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Overview

Major pharmaceutical seeks to understand the caregiver experience

Operational Impact