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 and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 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

facebook libra cryptocurrency
Does Facebook “Libra” Illustrate The Dark Side Of Big Data?
High-Performance Scoring of Healthcare Data
Big Data, business analytics revenue to reach $150B in 2017
Findability Inside the Firewall – Still Trying to Find the Information We Need
Turbo-Charge Data Scientist Productivity with a Data Catalog

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

data analytics and truck accident claims
How Data Analytics Reduces Truck Accidents and Speeds Up Claims
Analytics Big Data Exclusive
predictive analytics for interior designers
Interior Designers Boost Profits with Predictive Analytics
Analytics Exclusive Predictive Analytics
big data and cybercrime
Stopping Lateral Movement in a Data-Heavy, Edge-First World
Big Data Exclusive
AI and data mining
What the Rise of AI Web Scrapers Means for Data Teams
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Using R in Production: Industry Experts Share Their Experiences

2 Min Read

Experience vs. Data: Consuming Mark Zuckerberg as Data

2 Min Read

What the Consumer Really Thinks of Data Privacy [INFOGRAPHIC]

1 Min Read

Decision Management and Insurance – A Series

4 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 chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?