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
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 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
What Big Data Might Look Like in 2014
Illustration generated with Qwen Image.
SHARE

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

To 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

financial data
Engineering Trust into Enterprise Data with Smart MDM Automation
How To Transform The Customer Journey With AI And Big Data
4 Considerations When Choosing a Hadoop Distribution
In-Database analytics: Teradata and SAS lead in speed by ‘thinking inside the box’
How to Collect and Transform Data into Value for Your Business

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

Emergency responder and nurse reviewing tablet with data dashboards
Evaluating Workforce Assessment Tools: Looking Beneath the Dashboard at Psychometric Data
Exclusive Software
Flat editorial illustration: The article's core relationship is the brand protection response workflow: detection of a phishing o
Data & AI Architecture Focus: 6 Best Brand Protection Tools for Phishing and Impersonation
IT Security
Server racks with cloud and user interface panels
Cloud Infrastructure and Workload Migration: A Data-Driven Look at VMware Alternatives in Europe
Cloud Computing Exclusive
Synthetic Data vs Real Web Data: Comparison, Limitations, and Collection Methods  -- AI-generated illustration
Synthetic Data vs Real Web Data: Comparison, Limitations, and Collection Methods 
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

What Is Your Dashboard Telling You?
AnalyticsData MiningData VisualizationDecision ManagementPredictive Analytics

What Is Your Dashboard Telling You?

7 Min Read
Valuable Big Data Insights via Nike+ Gamification Platform
AnalyticsBest PracticesBig DataBusiness IntelligenceCRMCulture/LeadershipData ManagementInside CompaniesITMarket ResearchMobilitySocial Data

Valuable Big Data Insights via Nike+ Gamification Platform

7 Min Read
What Does the Big Data Job Industry Look Like in 2016?
AnalyticsBig Data

What Does the Big Data Job Industry Look Like in 2016?

5 Min Read
Social Data: The Arteries of the World, in Tweets
Big DataData VisualizationLocationR Programming LanguageSocial Data

Social Data: The Arteries of the World, in Tweets

1 Min Read

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

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence 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?