Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
    financial analytics
    Financial Analytics Shows The Hidden Cost Of Not Switching Systems
    4 Min Read
    warehouse accidents
    Data Analytics and the Future of Warehouse Safety
    10 Min Read
    stock investing and data analytics
    How Data Analytics Supports Smarter Stock Trading Strategies
    4 Min Read
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: What Big Data Might Look Like in 2014
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 > What Big Data Might Look Like in 2014
Big Data

What Big Data Might Look Like in 2014

Roman Vladimirov
Roman Vladimirov
4 Min Read
Image
SHARE

ImageTo put it simply, big data is a big deal, and it has been one for quite some time.

ImageTo put it simply, big data is a big deal, and it has been one for quite some time. In spite of the few who seemed to state that the big data and analytics revolution was a technology fad that was bound to start fading away at some point, this trend has only become more valuable to businesses of all sizes and in all sectors as time has gone by. Not only is it clear to those with any understanding of the enterprise world that business intelligence and BI initiatives had a major role in 2013, but all notable industry indications also point to these platforms becoming even more useful in 2014. 

Some of the major predictions for what big data will look like in 2014 relate to the information itself and how it will be used. Others have to do with the personnel involved, as the expanding role of data and analytics in modern businesses means that various roles and departments will have to be either created or expanded to deal with the complexity that will grow in direct correlation to that expansion. 

IBM predicts security, apps and personnel will grow in importance
InformationWeek reported that Inhi Suh, IBM’s vice president of big data, integration and governance, recently made six major predictions for the role that big data will occupy in 2014. These are split between expectations of the actual analytics and what it will mean for the employees of companies that employ it. Suh stated that many companies are bound to double down on their investments on analytics for various purposes – reporting, predictive analytics and recommendations, to name a few – and establish practices to help ensure the security of that data. 

More Read

Cryptocurrency and big data analytics
Big Data Offers Remarkable Valuation Tools for Cryptocurrency Speculators
Marketing Execs VS Market Research Execs
Guest Post: Can Database Developers do Data Mining ?
First Look – New Wisdom RuleGuide
Data Visualization – One City at a Time

The source also reported that Suh believes many organizations will create a new C-level role for the best possible management of big data initiatives. This will most likely have the title Chief Data Officer, a role that currently exists in more than 100 large enterprises.

‘Time to value’ and immediate use
According to B-Eye Network, Hannah Smalltree, director of marketing for the firm Treasure Data, emphasized the growing importance of a concept she called “time to value.” This refers to the time between the establishment of a big data project and the point when organizations begin seeing ROI from such initiatives. Companies will be working to make time to value pass as quickly as possible.

Similarly, Smalltree told the news source that businesses have to make sure big data can have immediate use value – that information can be not only compiled but also put to actionable use in a short time. As such, company leaders may be looking for software solutions that can meet that demand.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI Recruitment Software Solution
The Best AI Recruitment Software Solution: Transforming Hiring with Smarter Tech
Artificial Intelligence Exclusive
real estate data
How Big Data Is Changes How We Buy and Sell Real Estate
Big Data Exclusive
AI video surveilance
AI Video Surveillance for Safer Businesses
Artificial Intelligence Exclusive
Managed IT Services
Comparing Affordable Managed IT Services for Denver’s Remote Workforce
Exclusive IT

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

non-profit data usage
Big DataExclusive

5 Ways Nonprofits Are Getting Access to Big Data

8 Min Read

Four Key Steps For Enterprise IoT Security

7 Min Read
dreamstime l 185365889
Big DataData MiningExclusive

Data Mining Helps Dropshipping Companies Discover Products

7 Min Read
email marketing with big data
Big Data

6 Reasons That Data-Driven Email Verification Is Absolutely Critical

10 Min Read

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

ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?