“Unravel may get there even faster”
The chairman of the app management tech company Cisco bought for $3.7 billion earlier this year thinks a Menlo Park startup can have the same kind of success helping customers manage their Big Data projects. He comments:
“I’ve been in the business of monitoring and managing apps for a long time and grew one of the largest companies in that space with AppDynamics,” Bansal said in an interview. “Big Data has been around for a long time and I see the same kind of pain and complexity of managing these systems that we saw with apps.”
Unravel CEO Kunal Agarwal said his 28-employee company is brought in on Day 2 after a company installs a Big Data system in the cloud or on premises. “We make to sure those Big Data projects run on time, are fast and error free and that the company can keep scaling in an intelligent fashion,” he said.
While AppDynamics Chairman Bansal sees similarities between the progress his nine-year-old company made en route to its $3.7 billion sale, he thinks Unravel Data (a 10Fold client) may get there even faster.
“Unravel is doing better than we did at their stage in selling to very large enterprises,” he said. “It’s not easy for a small startup to win that kind of business. Large enterprises will only do that if they see tremendous value in the product and the pain is very high.”
“The Internet of Things keeps growing, leaving healthcare providers staring down a flood of big data and an imperative to alter their workflows.”
A new report from Tractica predicts that by 2022 manufacturers will be shipping out 430 million Internet of Things devices each year, leaving healthcare providers little time to prepare for a massive influx of potentially valuable big data.
As wearable fitness trackers are joined by a new generation of smart clothing and body sensors that may be able to collect an unprecedented amount of personal health data, providers and health IT developers will need to quickly work through the interoperability, data governance, patient engagement, and EHR optimization problems that have thus far been holding back the Internet of Things.
Ensuring that both providers and patients can leverage the full potential of the Internet of Things will be an ongoing mission for healthcare organizations, their developer partners, and their patients. As the number of devices grows and the sophistication of these tools increases, the industry will need to carefully work through its big data access and management issues before it can improve the delivery of chronic disease care and population health management.
“RFID wristband tech captures even more data”
In 2013, after years of development and testing, Disney World launched its MyMagicPlus program. Now, every guest to Disney World gets a MagicBand, a wristband that is equipped with RFID technology and a long-range radio. These bands communicate with thousands of sensors and stream real-time data to hundreds of systems that make the entertainment venue a giant computer. All this data is designed to help Disney cast members anticipate all your desires so they can give you an incredible experience. The bands act as hotel keys, credit cards, tickets, FastPasses and more. With a simple swipe of the band across sensors located throughout the park, the giant system knows where you are, what you’re doing and what you need.
The goal of the tech team who developed the MagicBands was to “root out all the friction within the Disney World experience.” Even before you leave town you can set reservations for certain attractions (where you won’t have to wait in line—hallelujah!) And added bonus for Disney: Your choices get added to its data vault. Once you arrive on site, one of the biggest challenges of any amusement park is how to minimize the wait times for rides and attractions.
“$15 trillion in value expected in 15 years”
The greatest aspect of big data is perhaps it’s ubiquity throughout the market and availability to everyone, from Walmart to the local mom and pop store.
Big data’s massive impact on the economy is largely driven by the fact that it’s universally available to large corporations and consumers alike. Nonetheless, tech giants like Google and Amazon are often the innovative birthplaces of the latest big data innovations.
Companies like Google, which catalog data for literally millions of searches each day, can analyze the information over the long term to detect useful trends and learn about their users. Google’s algorithms make great use of big data, for instance, when trying to determine what you’re searching for after you’ve only inputted a few characters into your search bar.
Other companies, like Amazon, are more ambitious with how they use big data to get to know their customers. Amazon’s marketplace is teeming with suggested products for their consumers, largely because the firm has harnessed big data to determine which products people in a certain demographic are likely to purchase, and markets those products specifically to them.
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