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Harnessing Behavioral Sentiment Analytics for Effective Public Health Decision-Making

Understanding Behavior for Effective Decision-Making

In the face of the COVID vaccine challenge, leveraging Syntasa's Behavioral Sentiment Analytics can provide a comprehensive view of residents' attitudes and intentions. By tapping into passive sources of digital behavior, public health leaders can gain insights into popular topics, sentiment trends, and where to focus their efforts. This solution allows for a more accurate representation of public sentiment, enabling better decision-making.

The Power of Machine Learning and Big Data

Syntasa's Behavioral Sentiment Analytics harnesses the power of machine learning and big data, facilitated by Google Cloud. This technology enables the aggregation of data, sentiment analysis, and the identification of groups that require particular attention. By combining digital behavior with outcome data, public health officials can gain valuable insights into attitudes, beliefs, and their impact on real-world outcomes such as virus spread and vaccine progress.

Identifying Gaps and Taking Action

One of the key features of Syntasa's solution is the ability to identify gaps in public health efforts. By offering a granular view of areas and cohorts that require focused attention, public health leaders can address critical questions such as vaccine availability, resident engagement, and vaccine hesitancy. With actionable insights and trending sentiment analysis over time, decision-makers can take targeted actions to bridge these gaps effectively.

Empowering Public Health Leaders with Data-Driven Insights

Syntasa's Behavioral Sentiment Analytics provides public health leaders with actionable insights based on sentiment analysis by topics. This allows for more effective outreach strategies tailored to specific audience segments. By offering prescriptive recommendations and partnering with community-based organizations, public health officials can engage with vaccine-hesitant groups more efficiently, especially in socially vulnerable communities.

Enhancing Decision-Making with Comprehensive Data Sources

To support COVID vaccination efforts, Syntasa enables public health decision-makers to leverage a wide range of data sources. From on-site surveys to community feedback, call center transcripts, website interactions, social media sentiments, and demographic data, Syntasa offers a comprehensive data framework for making informed decisions. By utilizing these various data points, public health leaders can enhance their vaccination strategies and address community needs effectively.

Syntasa Audiences: Empowering Marketers with First-Party Data Solutions

Revolutionizing Marketing Strategies

Syntasa's Audiences solution revolutionizes marketing strategies by empowering marketers with first-party data to reach customers across multiple channels. With over 0 Audiences managed and $0m incremental revenue generated, Syntasa is trusted by some of the world's most innovative companies. For example, a Global Airline Carrier can predict traveler behavior using Syntasa's ID Graph to connect online behavior with customer profile data. Similarly, a Multinational Electronics Company doubled their conversions by expanding audiences beyond traditional business rules. Lenoveo successfully predicts purchasing likelihood by leveraging algorithmic retargeting and attribution. Currys also benefitted, creating over 200 audience segments through customer profiles for personalized experiences.

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Enhancing Public Sector Services with Syntasa's Advanced Data Solutions

Introduction

In today's digital age, providing relevant and engaging services to constituents in the public sector has become more critical than ever. With Syntasa's advanced data solutions, government agencies can gain valuable insights into constituent behavior, enabling them to make better informed decisions and take actionable steps to improve service delivery.

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Unleashing NOW TV's Customer Engagement with Syntasa Data Solutions

Challenges Faced by NOW TV

NOW TV faced the challenge of understanding how their customers interacted with their streaming service. Their legacy Hadoop infrastructure processed large volumes of clickstream data slowly, making it difficult to gain valuable insights. Moreover, interpreting complex Adobe clickstream data was a daunting task that required writing intricate SQL queries.

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