BI
I admit that I’ve been more than a little slow to put out this post, but at least I’ve missed the late December (and early January) predictions rush. 2020 was the kind of year that would make anyone in the predictions business more than a little gun shy.
BI
I preferred Silicon Valley [1] back in the day when companies raised modest amounts of capital (e.g., $30M) prior to an IPO that took 4-6 years from inception, where burn rates of $10M/year looked high, and where $100M raise was the IPO, not one or more rounds prior
BI
Last week I sat down with interviewers Doug Henschen, Vala Afshar, and a bit of Ray Wang (live from a 777 taxiing en route to Tokyo) to participate in Episode 100 of DisrupTV along with fellow guests DataStax CEO Billy Bosworth and big data / science recruiter Virginia Backaitis. We covered
BI
In continuing my tradition of offering predictions every year, let's start with a review of my hits and misses on my 2017 predictions. 1. The United States will see a level of divisiveness and social discord not seen since the 1960s. HIT. 2. Social media companies finally step
BI
I remember when I left Business Objects back in 2004 that it was early days in the cloud. We were using Salesforce internally (and one of their larger customers at the time) so I was familiar with and a proponent of cloud-based applications, but never felt great about BI in
BI
New Year’s means three things in my world: (1) time to thank our customers and team at Host Analytics for another great year, (2) time to finish up all the 2017 planning items and approvals that we need to get done before the sales kickoff (including the one most
BI
I said in yesterday's post, entitled Too Much Money Makes You Stupid, that while I don't have much of a beef with Domo, that I did want to observe in today's fund-to-excess environment that any idea -- including making a series of Alec Baldwin
BI
There are two sayings I like when it comes to the unicorn bubble: * "Too much money makes you stupid" * "Any idea's a good one when you've got $100M burning a hole in your pocket." Startups are supposed to be focused. Startups are
BI
Since it is the season of predictions, I thought I'd offer up a few of my own for 2014, based on my nearly three decades of experience working in enterprise software with databases, BI tools, and enterprise applications. See the bottom for my disclaimer, and off we go.
BI
I suppose it's not surprising that on the journey to find my ideal next gig that I've seen a lot of next-generation business intelligence (BI) companies. Because I've thus had the chance to immerse myself in the BI startup world, I thought I'
BI
I spent an hour or so browsing the QlikTech S-1 and thought I’d share some observations. (See here for my prior post on the company.) * The company has achieved good scale (2009 revenues of $157M) but growth has been decelerating from 82% in 2007 to 47% in 2008 to
BI
It seems to me that SAP hasn't spent energy much getting the Business Objects story out, particularly when you consider that they spent $6.8B to buy them. What I do hear about the strategy, the integration, the overall story, I get through my BOBJ alumni backchannel. Thus