We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: New Big Data Applications
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > New Big Data Applications
AnalyticsData MiningData VisualizationData Warehousing

New Big Data Applications

gilpress
gilpress
0 Min Read
New Big Data Applications
Photo by RDNE Stock project on Pexels (https://www.pexels.com/photo/person-holding-white-printer-paper-7580647/)
SHARE

Wikibon’s Jeff Kelly bravely put a stake in the ground recently, first among IT market observers, by estimating the big data market at $5 billion, growing to $50 billion in five years. Kelly’s 5/50/5 plan is a great guide to the initial jostling for market position in this very promising and very emerging market. it shows that most–if not all–of the innovation in big data came from startups, and some have already been acquired by established IT firms.

The big data market, as defined by Wikibon, includes the hardware, software, and services designed to address the shortcomings of traditional data base technologies in handling large data sets. This means that the $5 billion estimate is a conservative one as it represents a narrow market, the market comprised of what we could call the hardware, software, and services platforms for big data. 

It makes sense.  When a new IT segment emerges, usually most of the innovation is focused on trying to define a dominant platform, a “standard” that most applications eventually adhere to.

But even in these early days for big data, we already find startups that are building new big data applications, making the market probably already larger than $5 billion.

More Read

car expense data analytics
Data Analytics for Smarter Vehicle Expense Management
Remedial Math: Understanding TCO and ROI
Implications and Goals of EU Competition Chief’s Big Data Proposals
IBM Watson Advances a New Category of Cognitive Computing
Text Analytics News Interview and Contest

Take, for example, metaLayer, the audience choice award at the just concluded Strata 2012 conference. metaLayer wants to “democratize data platforms” with its “drag and drop” data visualization application, believing that “asking simple questions about the world’s information shouldn’t require years of special training.” It just went a step further by launching a community for its users to share visualizations they’ve made with its service. “We want to do to data analysis what Apple has done to computers: Make data so intuitive that anyone can gather insights from tons of data,” metaLayer Chief executive Chris Burrage told VentureBeat.

Another example, going further into the realm of big data applications, in this case for the health care market, is QI Healthcare. It was founded to commercialize technology developed at Cincinnati Children’s Hospital Medical Center. QI Healthcare’s first product is called Surgical Outcomes Collection System (SOCS), and has been in use at Cincinnati Children’s for more than a year. The SOCS application aggregates data from various hospital systems, including electronic medical records, to enable “institution-wide analyses of cases to identify opportunities to improve patient care.”

Staying with the health care market and keeping in mind that successful analysis of health care data depends very much on the quality of data collected, Tonic Health wants to ‘Gamify’ the forms patients fill in Doctor’s offices. According to Xconomy, “it’s borrowing principles of video gaming and consumer marketing to help healthcare organizations collect better data from patients. The idea is to create customizable patient intake forms that a patient can fill out with a few finger swipes on an iPad, instead of the usual pen and paper forms.”

Applications for big data collection, management, analysis, and display will proliferate, making the big data market larger than $50 billion by 2017, I believe. Big data is everywhere, just waiting to be tapped by enterprising entrepreneurs. And in some unexpected places: Here’s commentary by another Kelly, David Kelly, on some of the possibilities for big data applications for education in general and employee training in particular.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Using Warehouse, Transportation and Order Data to Plan Distribution-Center Capacity -- AI-generated illustration
Using Warehouse, Transportation and Order Data to Plan Distribution-Center Capacity
Big Data Exclusive
Flat editorial illustration: The article centers on AI budget discipline for 2027 business planning, linking AI spending to measu
10 AI Trends That Should Shape Your 2027 Business Plan
Artificial Intelligence Exclusive
Custom Software Across Industries: Using Customer Data to Personalize Retail -- AI-generated illustration
Custom Software Across Industries: Using Customer Data to Personalize Retail
Exclusive Software
Flat editorial illustration: The article compares four AI visibility agencies that help brands appear accurately in AI-generated
4 Best AI Visibility Agencies for Brands Competing in AI-Driven Search in 2026
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Reference Domains Part IV: Metadata & Governance
Data Warehousing

Reference Domains Part IV: Metadata & Governance

6 Min Read
Business Intelligence
AnalyticsBusiness Intelligence

The Importance of Business Intelligence in Organizations

5 Min Read
AI-Powered Analytics: Unveiling Hidden Insights in Point-of-Sale Data
AnalyticsArtificial IntelligenceExclusive

AI-Powered Analytics: Unveiling Hidden Insights in Point-of-Sale Data

9 Min Read
World Series Analytics
AnalyticsBest PracticesData MiningSentiment Analytics

World Series Analytics

9 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?