<img alt="dcsimg" id="dcsimg" width="1" height="1" src="//www.qsstats.com/dcsuuvfw300000gkyg9tnx0uc_3f7v/njs.gif?dcsuri=/index.php/print/it-strategy/big-data/slideshows/big-problems-for-big-data-09&amp;WT.js=No&amp;WT.tv=10.4.1&amp;dcssip=www.cioinsight.com&amp;WT.qs_dlk=XQbVUzuLZ6aVUaeDS1ZusgAAAAI&amp;">

Big Problems for Big Data

By Dennis McCafferty  |  Posted 02-06-2013

Big Problems for Big Data

Big Shoes  85% of respondents say their data footprint is larger than one terabyte.

Big Problems for Big Data

Major Consideration  Only 6% of enterprises don’t have big data on their “top 10” priority list.

Big Problems for Big Data

Grinding Halt  55% of big data projects don’t get completed.

Big Problems for Big Data

What’s Stopping Big Data Projects From Completion?
• Inaccurate scope (58%)
• Technical roadblocks (41%)
• Lack of interdepartmental cooperation (39%)

Big Problems for Big Data

Most Difficult Aspects of a Big Data Project
• Processing it (43%)
• Managing it (42%)
• Analyzing it (41%)

Big Problems for Big Data

Man Hunt  80% of enterprises face challenges in finding the right talent for big data projects.

Big Problems for Big Data

Strapped Resources  76% face difficulties in finding the right tools for these projects.

Big Problems for Big Data

Clock Management  Three of four admit that time limitations pose a challenge in pursuing big data projects.

Big Problems for Big Data

Learning Curve  73% say understanding the platforms required for these projects can be difficult.

Big Problems for Big Data

Home Team  66% of respondents prefer to build big data projects in-house, despite all of the challenges.