A few notes about #msure

We’re doing a little experiment on Twitter around the #msure hashtag. To understand the reason for #msure, you need to understand our problems with #measure. Concretely: Bi-hourly ‘reminders’ of an event that’s going to happen two weeks from now Bi-daily … Continued

The Bass Diffusion Model

Yesterday, Ashlie asked “what kinds of laws social media analytics is borrowing?” One of the great tree trunks in Marketing Science is called the Bass Diffusion Model. It was published in 1969 by Frank Bass, in a paper entitled: “A … Continued

Analytics of music: Beluga Analytics

Have you seen Beluga Analytics, the open insights platform made available by Grooveshark? It’s pretty sweet. Enter in the name of a band and gain a whole range of data about that band’s audience. This just isn’t interesting. It’s absolutely … Continued

The MiO and Me

There’s a campaign going on for MiO in Toronto. I didn’t know much about it until Friday, when I saw this commercial: I went to the Loblaws today, and, right at eye level, I saw the MiO. I recognized it. … Continued

The Problem With Excel

Excel continues to be THE major tool in analytics. It shouldn’t be. Excel: Does not scale beyond a single computer, and frequently fails to load with very large data sets Does not contain separate model, controller, and viewer modules unless … Continued

Can I ask you about #measure ?

Can I ask about what you think of #measure, which is the main analytics channel on twitter? Are you happy with what that channel has become? *** I’m Christopher Berry.I’m taking refuge over at #msure.I tweet about analytics @cjpberryI write … Continued

Pinterest Scales

It’s awesome to watch Pinterest grow. A post at High Scalability reveals just how much they’ve grown. TL;DR: 80 million objects stored in S3 with 410 terabytes of user data, 10x what they had in August. EC2 instances have grown … Continued