Four Key Questions About Data Analytics
PM360 asked experts in data analytics about how the process behind collecting and analyzing data is changing, including these four key questions:
- How is the advancement of artificial intelligence, natural language processing, machine learning, and deep learning impacting the data analytics landscape?
- How has the rise of concern for data privacy and the implementation of the EU’s General Data Protection Regulation (GDPR) affected pharma’s ability to collect or use data?
- What can organizations do to help make their employees more data literate? Ultimately, how do you make everyone comfortable using data analytics?
- What is the future of data analytics? How else is data collection, analyzation, visualization, implementation, etc., likely to change in 2019 and beyond?
Tod Loofbourrow – Chairman and CEO at ViralGains, Digital Fellow at MIT
Pharma marketers can use machine learning to measure and optimize for the outcomes that truly matter—engaging the right consumers with messages that matter to them. We have consistently seen pharma marketers who leverage machine learning with their digital video marketing achieve higher engagement, lower bounce rates on websites, and greater pages per session. These are the metrics that matter—not traditional marketing metrics such as CPM, clicks, or impressions.
Read the full article on PM360 for more insights into data analytics and marketing from Tod Loofbourrow.
