Data/Analytics Blogs


Are You Ready for GA4? Enhancements for Measuring Engagement

GA4 is the future of measurement for you and your brand. Prepare and learn about the enhancements for better engagement analytics.


Performance Visualization Simplified

Data is the key to fine-tuning your messaging and measuring performance, but let's face it - it's not always easy to wade through or understand. No problem, say the experts at Intouch Analytics. InvisionNow does the hard part for you!


Data Privacy Day: A Great Time to Update Your Data Structures

People are more concerned than ever about what happens to the data they share online. What is your brand doing to protect it?


4 State Data Privacy Laws Pharma Marketers Need to Know About

Experts agree -- there will be more data privacy laws governing how businesses use the personal consumer data they collect. Find out what pharma marketers need to know about the four privacy laws in play so far.


iOS 15 Update: Mail Privacy Protection

How will pharma marketers continue to deliver ethical, quality email experiences and personalization when Apple's update hits? Read our POV to find out.


Predicting the Future of Data Privacy Regulation

Get our summary of a discussion between the Coalition for Healthcare Communication and Alison Pepper, EVP of Government Relations at the 4A's, about the current data-privacy landscape.


Data Targeting for Rare Diseases

Some 7,000 different rare diseases affect 25-30 million Americans, but how can pharma marketers find them? Data analytics can help.


Corporate Cybersecurity: What Pharma Marketers Need to Know

Corporate data security is big business. Simple, everyday actions and awareness, as we describe in this Intouch POV, can help a marketer keep their brand’s, and company’s, and patients’, information safe.


Intouch EVP Takes on the Top Three Data-Privacy Myths

In this piece for the Forbes Tech Council, Intouch EVP David Windhausen addresses three common fears about data security and why those fears are unfounded.


Six Must-Do Steps for Optimal Machine Learning and Data Science

Leveraging machine learning and artificial intelligence for data analysis takes work and patience. Learn about the six steps you MUST follow to get the best results from your data.

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