Data Science Blog

Over the past decade, data’s importance has grown, and its value has accelerated. Artificial intelligence (AI) cannot reach its full potential until companies figure out data.And data-adept digital-native companies have shown the value in using data and AI to unlock new products, experiences, and operational efficiencies, at scale. – Source: Accenture

The authors believed that messages/tweets from news personnel and politicians strongly correlate with public health events. Further analysis of public response to the emotions shared by People in the Public Eye [PIPE] representatives could provide valuable insights into the role of social network-shared sentiment in disease prevention, COVID-19 control / containment, and response to future […]

Twitter has been a hugely important source of data for researchers on basically any topic you can think of: from public health to political science to digital humanities to consumer behaviour to misinformation. And it’s not necessarily because Twitter is the best data source, but rather that the data is so easy to get. The […]

Sentiment analysis is popular in marketing because we can use it to analyze customer feedback about a product or brand. By data mining social media content, sentiment analysis provides insight into customer satisfaction and brand loyalty. Sentiment analysis can also help evaluate the effectiveness of marketing campaigns and identify areas for improvement. – Source: Builtin

The impact of ChatGPT technology is not just about creating instant content. It’s about data visibility… In a downturned economy, there is more pressure than ever to become a data-driven B2Bmarketer and maximize the ROI of every dollar spent on the increasingly more complex B2B customer journey. “The resulting surge in data has not provided […]

User expectations for data freshness and accuracy are already externally set by their experiences as consumers. ..In today’s environment where everyone is a savvy consumer of tech experiences, your user experience is a big part of your brand. – Source: Data Science Central

As the number of customers for your business increases, so does the data pool for the existing and prospective customers. Amid such a complex data pool, identifying the right audience and creating your marketing strategy can take time and effort. According to a study, as many as 72% of business marketing campaigns cannot reach the […]