Analytics
News, events, thought leadership and more.
We've reached the last month of 2014 and it has been an incredible year for our customers, and for Alteryx. In the past year over 500 new organizations have started to use Alteryx, we have added a lot of new employees (still hiring more!), and released some incredible software.
As is tradition for this time of year, we have turned our attention to what comes next. This entails lots of planning for our start-of-year kickoff meetings, the next product launch, and our Inspire 2015 conference. It also includes our annual predictions webinar, which took place last Friday, the 5th of December, and featured some of the best minds in data and analytics. You can see the slides here or you can view the entire recording here.
This year I was joined by Clarke Patterson, Senior Director of Product Marketing at Cloudera. In this role he is responsible for product, solutions and partner marketing activities supporting Cloudera's Platform for Big Data. Also sharing their thoughts on the panel was Adriana Gil-Miner, VP of Corporate Communications at Tableau. Adriana brought some great industry and customer examples to the conversation. Finally, Rick Schultz, SVP of Marketing at Alteryx, completed the panel.
This is one of my most enjoyable marketing activities each year (you can see last year's version here), and this installment included some very compelling customer examples and thoughts on the direction of our market.
My highlights:
- The rise of the data hobbyist: featuring our own Alteryx ACE, Chris Love, and a Tableau user tracking the spread of infectious diseases in their own time.
- The gap between big data and visualization is going to be filled by empowered analysts: a big focus for everyone on the panel was how we can empower more users with all of the aspects of the new analytics stack: from Hadoop, to data blending and advanced analytics, to visual discovery and analytics.
- Data Blending is a really key capability: A recent survey we conducted reinforces the reality that 90% of analysts and analytic leaders see an impact from not getting the right data set, fast enough. The entire panel talked about customer examples of empowering analysts with the ability to get their own analytical data set together, from whichever source it is was coming from.
We also used the event to crowd source predictions. My favorite was from Blake Pedersen (https://twitter.com/PresidentBlake1)
Further automation of the steps in data blending are a key part of Alteryx users future but not sure we will see full automation given the complexity of datasets that analysts have to deal with. Something to look forward to though…
If we missed a prediction let us know (#alteryx) and we'll tweet out the best suggestions we get.
Paul
