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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 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

Building A Smart Workplace For Post-Millennials
Data-Driven Approaches for Email Marketing Automation in Your Business
BI and a different type of outsourcing
10 Technology Trends that will Define Enterprise Architecture in the 2010s
Big Data is Transforming the Future of WordPress Hosting

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

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Improvement Project for Services; Remember You’re Never Really Done

8 Min Read

Structured Search Is On The Table

5 Min Read

Scribd.com

1 Min Read
data strategies for businesses
Big DataExclusive

5 Optimization Tips for Data-Driven Businesses

5 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
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?