The Why and the How of Interactive Analytics, Part 2
In Part 1, I talked about why companies need interactive analytics in order to unlock the full potential of their data. Here, I’ll show you how Interana’s features help users interact with their data.
In Defense of Pie Charts
In the world of data analysis, there are few things more reviled than the pie chart. Among "serious" data people, it is at best trivial and naive, and at worst downright evil. I do not agree with this. The pie chart is simple, but that is its beauty. It does exactly one thing and it does it well - it shows you how much different parts contribute to a whole. This isn't the only question you ever have about your data, but when it's the question you do have, the pie chart is perfect. That is not evil, it is not naive. It is data visualization doing what it should - taking something large and abstract and saying something simple about it that your brain can easily internalize.
The Why and the How of Interactive Analytics
By Matt Green, Director of Product Management at Interana. Our name says it all: Interana is Interactive Analytics. It reflects a deeply held set of beliefs within our company about how people in today’s most innovative companies want to use data in a way that is fundamentally new.
Ethical Behavioral Analysis
By Matt Green, Product Manager at Interana. DJ Patil, former U.S. Chief Data Scientist, recently wrote in A Code of Ethics for Data Science: Much like the Hippocratic Oath defines Do No Harm for the medical profession, the data science community must have a set of principles to guide and hold each other accountable as data science professionals. To collectively understand the difference between helpful and harmful. To guide and push each other in putting responsible behaviors into practice. And to help empower the masses rather than to disenfranchise them. Data is such an incredible lever arm for change, we need to make sure that the change that is coming, is the one we all want to see.
Why Every Employee Needs Access to Behavioral Analytics
Every employee in your organization already knows how to make smart decisions based on behavioral analytics. They choose their Netflix movies using a sophisticated algorithm, they connect with new Facebook friends based on a cohort analysis, and they make Amazon purchases by leveraging a recommendation engine.
Top Analytical Skills Every Product Manager Needs in 2018
Product managers are modern-day Renaissance women and men. To be successful, PM's must have a solid understanding of the various disciplines in order to inspire and lead a team of disparate skill sets and personality types through the turmoil of product development to a victorious launch.
App Engagement Metrics Every Advertiser Should Care About
In 2017, you are more likely to win the lottery than to click on a display ad. Despite this fact, some advertisers still measure the success of their display ads using the CTR (clickthrough rate) metric—and by doing so, they're ruining customer experience with bad advertising.