In the world of data analysis, one tool is often left unused. While being a very powerful analytics tool, cohorts are often pushed aside due to their seemingly complex nature. With a lot to offer in the way of data analysis, let’s take a deeper (yet simplified) look into cohorts.

The post How to Use Cohort Data to Analyze User Behavior appeared first on Dataconomy.

Wearables continue to be a hugely popular item across different age groups and even continents. They track steps and sleep cycles, but just how valuable is that information? In reality, this data is only partially useful for the wearer. Without big data to decipher what is more or less healthy,

The post Can Big Data From Wearables Help Us Sleep Better? appeared first on Dataconomy.

Ioana-Andreea Grapa Events Manager Originally from Romania (the first nation to have a happy graveyard)  Calling herself a Berliner for just over a year Appreciates a good glass of red wine :) What brought you to Dataconomy in the first place? First of all, it was my passion for events.

The post Behind the Scenes of Dataconomy: Meet Ioana! appeared first on Dataconomy.

Data scientists suffer needlessly when they don’t account for the time it takes to properly complete all of the steps of exploratory data analysis There’s a scourge terrorizing data scientists and data science departments across the dataland. This plague infects even the best data scientists, causing missed deadlines, overrun budgets

The post 4 steps to neutralize a data scientist’s biggest threat appeared first on Dataconomy.

Daniel Mintz is the Chief Data Evangelist at Looker. Previously, he was Head of Data & Analytics at fast-growing media startup Upworthy and before that he was Director of Analytics at political powerhouse MoveOn.org. Throughout his career, Daniel has focused on how people interact with data in their everyday lives and

The post “But those skills for using data to listen deeply have proved invaluable in my career” – Interview with Looker’s Daniel Mintz appeared first on Dataconomy.

Since the 1700’s people have been studying insects and in the past decade, more research has been popping up on how insects are used in data science applications – and frankly, it’s pretty cool. From creating an alternative food source to city planning,insects and data go hand in hand in

The post Cockroaches, Bees, Crickets and Big Data may just save lives appeared first on Dataconomy.