Analytics anyone can use.
Analytics for organizations.
Cloud analytics for organizations
Insight on your tablet or phone.
Publish interactive data on websites.
Read Tableau Desktop files for free.
Explore our pricing options.
Explore data on an iPad, free.
Explore Tableau’s solutions for your industry.
See what’s possible for your department.
Learn how we integrate with your data source.
See what's possible with Tableau.
Learn Tableau with these bite-sized videos.
Interactive, self-paced learning at scale.
Multi-day courses offered around the world.
One-hour sessions led by a Tableau pro.
Technology, trends, and tips.
Learn from experts.
Live, online product walkthroughs.
Share knowledge and ideas with other Tableau users.
Visit the Forums
Find a partner to help you make the most of Tableau.
Find a Partner
Stay up-to-date with the latest virtual and in-person events.
Resources for Desktop authors.
Resources for Server administrators.
Resources for Tableau in the cloud.
Jump-start your deployment or dashboard.
Manage your Tableau accounts, product keys, and support cases.
Explore technical articles.
This matters to us.
Our top brass.
Extra, extra! Read all about it.
Let's build a better world with data.
News, events, and investor releases.
Join our team.
The Internet of Things is likely to reshape the world as we know it. According to Gartner, Inc., there will be nearly 26 billion connected devices by 2020. From wearables to home automation, to manufacturing optimization, the possibilities are immense, but so are the challenges.
Making the IoT work for the masses is more of a data challenge than a device connectivity problem. We first have to extract the data from devices then figure out what it all means. So far, the market has been focused on getting smart gadgets online. We’ve seen little innovation to help us consume all the data that these gadgets and machines collect. As a result, many IoT solutions suffer from the last-mile problem. In other words, these solutions are gathering data, but fail to help people see and understand the data they mine.
What good is data you can’t use? And if you can’t use it, why go through the trouble of collecting it? So how do we read, interpret, and understand this IoT data, be it from a smart home appliance, a wearable, or an industry-scale solution like GE’s Predix platform? We have to address four hurdles that stand in the way.
Get Free Trial