“Big data is dead.” Those words have been floating around the web since around mid-2015 as the hype the industry saw in previous years fizzled out. But big data isn’t dead, it’s simply growing and maturing. In many ways, big data is hitting its “awkward phase” as it tries to integrate with other new technologies such as machine learning, grow beyond its initial components, and stay out of the trouble that data can pose.
For example, Gartner predicts that through improper use of big data, 50% of business ethics violations will be data-related by 2018.
Nitin Donde, CEO of Datamation, explains that big data is a driving force behind the adoption of machine learning technology for growth by 76% of executives spanning 168 companies with more than $500 million in sales, because vast amounts of collected data requires analysis and processing to a precise level.
We’re also seeing a trend in 2017 of big data companies expanding outside of Hadoop and towards platforms that are “data- and source-agnostic,” according to a recent white paper from Tableau.
Just as the “everything-as-a-service” trend is booming, big data has also caught on as we’ll see in the first of our top ten big data companies to watch in 2017.
On January 19, 2017, CenturyLink announced a new BDaaS (big-data-as-a-service) option for companies who would like to harness the power of big data, but don’t have the resources or expertise available within their own companies. CenturyLink has been a big name in technology for quite a few years, so we will definitely be watching them for new innovations on the big data front, especially as it concerns expanding reach to smaller customers.
MapD has gotten a lot of face time in the past year, and was named one of Gartner’s Cool Vendors of 2016, Start-Up of the Year from Business Intelligence Group, and in Fast Company’s 2016 Innovation by Design Awards. It makes sense why.
MapD claims to allow users to not only query but also visualize multi-billion record datasets in only milliseconds. On their site, you can see the technology in action through a variety of data, and can even see real-time visualizations of tweets in your neighborhood! The speed MapD has to offer is completely disrupting the ways we can utilize big data.
Okay, so ShareThis has been around since 2007. Most people recognize it. It’s that little green button you see basically everywhere that allows you to share to a variety of networks, email, etc. So why are we watching it ten years later?
Because our tech is catching up with our data, and ShareThis has a lot of data. According to their site, they process terabytes of data every day—data that can now be turned into actionable insights for businesses.
ShareThis also has another offering beyond their buttons, the ShareThis Real-Time Marketing (RTM) Engine which targets people based on their recent, relevant interests.
Conductrics combines big data, machine learning, testing, and design to help developers offer the best content at all times. It’s used for websites including layouts and headlines, app features, discounts, upgrades, and more.
They claim they can do variations of “just about anything your teams come up with.” In short, there are a lot of options, and Conductrics makes choosing between them much simpler.
Beyond just A/B testing, Conductrics offers MVT, targeting rules, and can even select the best option for each visitor in real-time using machine learning.
SQream touts massive benefits in big data for both speed and scalability. They offer analysis on the petabyte scale, and they do it with incredible speed using parallel computing and GPU-based technology. They claim to offer speeds up to 100 times faster than other major competitors.
For huge datasets, SQream is offering major innovations for speed and efficiency that will be of great benefit to server vendors, cloud platforms, and other similarly data-heavy operations.
DueDil claims to be the “data backbone of business.” They allow users to discover private company data quickly and efficiently to find new business opportunities while minimizing risks.
Basically, they help companies do their “due dilligence” by offering data, but also providing ways to contextualize that data. Because the ability to see the relationships between data is often a struggle, especially for budding companies, DueDil is an easy solution to share business data in context among team members.
Maroon has a lot to offer marketers with an eye for the future. Their SaaS platform uses data and predictive analytics to help marketers find ideal customers, new leads, and even offers Maroon automated sales qualification (MASQ™).
Maroon helps marketers get real-time market intelligence and predictive insights and integrates with existing CRMs. With Maroon, marketers have to rely less on instinct, and can instead harness the power of big data.
Anodot has snagged some huge customers recently including Microsoft, and also got a shoutout as a Cool Vendor for 2016 by data authority Gartner.
They utilize big data and machine learning to alert businesses to anomalies in their metrics as well as offering analytics. With visualization and alerts, Anodot keeps the people who need to know updated in real time about the metrics you feed it. It finds uses in marketing campaigns, IoT, Fintech, media, and more to know how things are running, when they’re running, if you have a bug, and any other key stats relevant to the niche.
Practically any tech industry can benefit from the powerful data visualiztion, machine learning based anomaly detection, visualizations, and alert functions offered by Anodot for anomaly detection and analytics.
Plus, if an anomaly has been spotted, Anodot even helps users find the root cause faster by anomaly grouping.
OpenSignal, with the help of their users, has become the authority on mobile networks. Their app which is available for both iPhone and Android helps users get better signal, find free wifi, help others get better signal, and more.
They use the power of big data to offer consumer-level end users great benefits in real-time while solving an issue that plagues many of us—no signal. But they didn’t stop there!
Because of the huge amounts of data that can now be utilized from phone sensors, the OpenSignal network of users helps researchers in a variety of fields including weather forecasting technology using a more recent project, WeatherSignal.
So the company behind this is solving two everyday problems using big data—no phone signal and incorrect weather forecasting. And they do it all the while using support from their network of users in a symbiotic way.
Even though big data may have tapered off in its hype, blockchain, artificial intelligence, and IoT are booming. Chain of Things claims to use all of them.
They’re still pretty small, with only three followers on Angel List at the time of this writing, but their name is growing fast.
They’ve got a big (and very much needed) offering.
Many of you probably remember when the MIRAI botnet caused a serious issue with internet availability in October of 2016. That botnet preyed on vast numbers of unsecured IoT devices.
Using big data and blockchain, Chain of Things has set out to secure IoT using blockchain technology.
It’s a big mission, but it could fundamentally change the future of our technology. And that’s not all they’re doing. They are also investigating the use of blockchain in renewable energy via solar power as well as blockchain to mitigate inefficiency in shipping and logistics. Thus far, Chain of Things is my number one disruptive company to watch in 2017, and they will appear on several more Disruptor Daily top ten lists in the very near future.