Publishing platform startup Medium has open sourced a data visualization tool the company used to look at internal data. The tool, called Charted, is free, easy and actually pretty useful if you have simple data-analysis needs.
Twitter data editor Simon Rogers took the stage at Gigaom’s Roadmap conference to talk about making sense of messy data with good visualizations. It can be hard work, but also very enlightening when done right.
In an interview with Gigaom on Thursday, Tableau Software CEO Christian Chabot spoke about the company’s $100 million third quarter and the challenges it faces as it continues to grow. He doesn’t suspect Salesforce.com’s new analytics service will be one of them.
ZoomData has raised another $17 million for its visualization technology that was built with stream processing and iPads in mind, but has since made the leap to historical data and desktops, as well.
Tableau Software was born of academic research, and as the company grows it’s building an R&D division to help build a pipeline of innovation. Jock Mackinlay, a Tableau VP who heads up the team, explains how it works and what it’s working on.
Dropbox is acquiring a data visualization startup called Parastructure, according to TechCrunch. It’s one of those deals where nobody is talking yet, but…
Elasticsearch, the company behind a very popular open source suite for indexing, searching and visualizing JSON documents, has raised a $70 million series C round of venture capital. Just more than two years since being founded, the company has raised $104 million.
Analytics startup DataPad emerged from stealth mode on Tuesday, along with $1.7 million in funding from a list of prominent investors. Its trying to provide simple, attractive analytics for the little guy, which is a promising but difficult space.
Forget about how much data a disk can store or whether companies will use Hadoop. The questions for big data going forward are how they’ll use Hadoop, how intelligent our systems can actually become and how we’ll keep them in check.
DataHero, a startup targeting individuals who want an analytics experience much simpler than what most BI software can provide, has raised an extended seed round of $3.15 million and has redesigned its product based on behavioral analysis.
Machine learning startup Ayasdi has teamed up with Lawrence Livermore National Laboratory, as well as the Texas Medical Center, to help advance data analysis in a variety of complex fields.
After nearly 18 months in relative stealth mode, ClearStory Data is finally available. It’s a pretty novel way of doing business analytics that tries to let lay users do more by automating much of the hard work.
A new data-analysis startup called Mode has launched, thanks to a $550,000 angel round led by Yammer Founder David Sacks. Mode targets data analysts with a GitHub-like service for sharing their scripts, data and other work.
Car service startup Uber has produced some graphics showing the effect of the government shutdown on its ridership in the Washington, D.C., area. Certain routes, like between downtown and Capitol Hill, have shown a reduction that the company calls “significant.”
A new open source tool called RAW makes it remarkably easy to visualize any data that you can copy and paste from a table. Football on my mind, I chose to look at the performance of NFL quarterbacks so far this season.
The Comparing Constitutions Project has launched new web tool called Constitute, which lets users search their way through the world’s constitutions by…
If you’ve ever wanted to see who follows you on Twitter, where they live and what they do, but don’t have a clue how to utilize the Twitter API, it’s your lucky day.
Veteran entrepreneur, investor and founding Vertica Systems CEO Andy Palmer has some thoughts about the most-important trends and promising startups in the data space. Here’s what he had to say during our Structure Show podcast this week.
JackBe’s technology, already used by the likes of General Electric and Intel, will now provide the visualization and analytics layer across Software AG’s product suite, while also underpinning the new Intelligent Business Operations Platform.
The tool, which forms part of Recommind’s cloud-based Axcelerate On-Demand package, aims to give non-technical users a faster and more informative e-discovery process.
Here’s a look at the most popular topics, news and posts on Twitter over the past week — at least based on my analysis using a collection of free tools.
Tableau has gotten into the SaaS game with a cloud-based version of its popular analytics software. Called Tableau Online, it’s essentially the company’s server-based version delivered as a service.
Accel has launched its Big Data Fund 2, a followup on the equally large fund the venture capital firm started in November 2011. Rather than seeking products that target data scientists, it wants those targeting business users.
DataSift is bringing the Twitter firehose, Google+ and other social streams to Tableau Software in a new partnership. The deal could help more people gain insight into connections between business and social media.
Machine learning service BigML and open data service Quandl are collaborating to make it easy to build predictive models around economic data. More importantly, though, is how easy Quandl makes it to find and use data.
Tableau had a successful IPO, closing the trading day up 64 percent and raking in $254 million. CEO Christian Chabot says the company is now set to make itself known around the world.
If the big data era is really going to revolutionize our world, visualizations that let more people make sense of data will be critical. Here are six startups trying to change how we interact with and look at our data.
A new beta version of ScraperWiki makes it easy to relatively easy to scrape Twitter for certain phrases and get to work analyzing the data. It’s just one more way that data analysis is getting democratized.
A year after launching, data-analysis-for-the-masses startup Datahero is finally opening its doors to the public. All in all, it delivers on its promise with a service that’s both intelligent and intuitive.
Microsoft has rolled out a new visualization feature for Excel called GeoFlow. It’s definitely pretty, and if you’re using Windows and trying to track activity over space and time, it might be useful, too.
A data democracy built to last needs tools that empower everyone to work with data rather than relying on apps and data scientists. Tableau helped ignite the data revolution, and its IPO could help it keep going.
To distinguish itself in the cloud-based enterprise performance management field, Tidemark introduces inforgraphics to serve up information that’s easier on the eyes than dashboards and standard illustrations of data.
Media outlets such as the Guardian take a long time to produce data-backed reports and visualizations, while big data analytics apps move fast but don’t lack a human touch. Is there a happy medium?
Not all data analysis is created equal, and understanding the difference is critical as our society places a greater value on listening to the data. Using big data to cure disease is one thing, using statistics to ruin my sports-watching is quite another.
As part of its new big-data-focused XDATA initiative, DARPA has invested $3 million in a startup called Continuum Analytics. The company’s aim is to extend Python’s prowess in scientific computing into the world of big data and analytics.
A new startup called Trifacta, founded by UC-Berkeley professor Joe Hellerstein and Stanford professor Jeffrey Heer, wants to eliminate much of the hassle of making messy data usable. The company combines machine learning and human-computer interaction, and has raised $4.3 million from Accel Partners.
Some people predict 2013 will be the year Hadoop becomes mainstream. Such an occurrence will only be possible if the technology trickles down to a broader base of users and lowers many of the barriers to adoption it carries today. A major limitation of big data, after all, is that the technologies used to analyze it are not easy to learn. It doesn’t have to be that way, and this research note looks in detail at how components of technologies like Hadoop are finding their way into tools that target less-sophisticated users — from business users to receptionists to high school students. Thanks to cloud-based services, data visualization tools and more, analytics can be made easier, and maybe even fun.
Latvian startup Infogr.am has launched its suite of online tools for building beautiful — and shareable — infographics on the web. Can it cash in on a growing trend for easy data visualization, or not?
Facebook wasn’t satisfied with how its legacy tools measured what was working and what wasn’t across the site’s many-thousand servers, so it created a distributed in-memory data store called Scuba to help. Here’s how it works and what other companies can take away from the project.
We live in a big data world, full of complex algorithms among any type of information one can imagine. Gaining the skills to work with it requires a lot work, however — and the first step in changing that might be realizing that data can be fun.
USC Annenberg Innovation Lab launched a film forecaster last month that utilizes IBM’s BigSheets analytics tool. It showed that Big Data analysis is something that can be done by non-technical people and it underscores the promise of data analysis when it reaches the masses.
Forget the division between structured and unstructured data. For the benefits of the big data era to reach businesses bottom lines or to change behaviors, companies will have to figure out how to bring the results of Hadoop analytics to HR and middle managers.
The FinTech Innovation Lab, an accelerator program for financial tech startups, graduated its first class on Friday. This first batch of companies is bringing some impressive ideas to bear on data, analytics and payments and showing there’s room for new approaches in the financial sector.
When you have almost 600 million users and a “social graph” of the connections between them, you can do a lot with that data — so a Facebook intern plotted the connections between millions of users and came up with a map of the socially connected world.