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
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Big Data Deployments Strangely Low
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 > Big Data Deployments Strangely Low
Big Data

Big Data Deployments Strangely Low

Roman Vladimirov
Roman Vladimirov
3 Min Read
Image
SHARE

ImageIt’s not a big surprise that big data, business intelligence and an

ImageIt’s not a big surprise that big data, business intelligence and analytics – in various iterations – are hugely dominant topics in the software market and business world. For the past few years, it seems that there’s been more articles, blogs and op-ed pieces about big data than you could shake a fist at, so to speak. And with good reason – plenty of organizations across multiple sectors are indeed investing in big data projects and related software solutions.

That said, a recent Gartner study has pointed out that for all of the companies that are allocating funds toward big data-related initiatives, not nearly as many are actually putting them to the best possible use. They are more often acquiring what they need and letting it sit there, unused and collecting dust in a figurative sense. This amounts to nothing more than a waste of valuable resources, one that will likely have adverse effects somewhere down the line.

The divergence between investment and adoption
According to ZDNet, Gartner’s researchers surveyed 720 members of the market analysis firm’s Research Circle, made up of business leaders in a wide variety of fields. It noted that there was an increase in the number of companies looking to make big data investments between 2012 and 2013, from 58 percent to 64 percent. The catch was that only 8 percent of respondents overall had begun implementing their big data plans, even among the 30 percent of those surveyed who had already made investments in them. 

More Read

App Development
Why Big Data and Machine Learning Will Be Essential To Drive App Development Growth
Quality and warranty cost reduction strategies
VC Investment Analytics on 20 Years of Investment Data
How Big Data has Redefined the Legal Industry
Software Dependence & Model Accuracy

Respondents in most sectors stated that they planned to complete their investments in the next year or two years. Fields where this was a common response included transportation, services, banking, media and communications. Frank Buytendijk, research vice president at Gartner, characterized this as a hesitancy among firms to actually get rolling with data plans. 

“For big data, 2013 is the year of experimentation and early deployment,” Buytendijk said. “Adoption is still at the early stages.”

The survey had a few positive conclusions in terms of the reasons behind these companies’ investments. Improving customers’ experiences, better business process efficiency and increased understanding of customer needs were the major reasons listed.

In a separate piece for Gartner, the firm’s master data management expert Andrew White stated that a well-thought-out strategy is the most essential aspect of dealing with information and BI. Even with the use of the best possible big data and analytics tools, companies that have not determined what they actually plan to do with big data are not bound to glean any advantages from it.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

big data analytics ERP 17-18
AnalyticsData Mining

Why Integrating Big Data Analytics with ERP Is the Future of Retail

5 Min Read

Want to Get Certified in Data Mining?

14 Min Read

To Hell with Business Intelligence, try Decision Management.

6 Min Read
power supplies for ATX for data scientists
Big DataExclusive

Why Data Scientists Should Care About SFX Power Supplies

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.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?