1010data, Inc. announced the results of its 2013 Big Data in Business Study to put in context the strides Big Data has made in 2013. U.S. business and technology executives were interviewed
across industry sectors, highlighting success with Big Data, and factors keeping business from capitalizing with it.
79% of executives believe Big Data will reach its potential in the next
one to five years. Finance, retail, consumer packaged goods and manufacturing, were viewed as the industries that would see the most success with Big Data in 2014.
Anticipated “Reach of Potential” for Big Data (% of Respondents) |
Time | % of Respondents |
Next five years | 44% |
End of 2014 | 35 |
Already has | 12 |
Next 10 years | 6 |
More than 20 years | 2 |
Next 20 years | 1 |
Source:1010data, December 2013 |
While businesses are optimistic about the prospect of leveraging Big Data,
they also admit that there are good reasons why companies are holding out on using the large and complex data sets for business projects. The most popular reason with 62% of executives was
that companies require more education on how Big Data solves business problems .
Reasons companies are holding out on using Big Data:
- Need more education on how Big
Data solves business problems (62%)
- Need Big Data solutions to better address the needs of business users (53%)
- Need better time to value for Big Data (47%)
- Need
simplified solutions for Big Data with fewer moving parts (49%)
- Need prices for Big Data solutions to come down (40%)
In addition, survey respondents commented on the
characteristics of Hadoop 2.0 as it applies to their experience and current business practices.
(Apache) Hadoop is an open-source software framework for storage and large scale processing
of data-sets on clusters of commodity hardware, being built and used by a global community of contributors and users. (Wickipedia)
When it comes to evaluating Hadoop, executives admitted
they had concerns about its’ complexity when solving business projects’ and are worried that the recently launched software does not adequately address the underlying problems with the
technology, says the report. The executives also believe that alternatives may be better for solving business problems.
Concerns With Using Hadoop 2.0 for Business Projects (% of Respondents) |
Concern | % of Respondents |
Too much coding required | 35% |
Hard to mashup data | 31% |
Still don’t have enough data scientists to analyze | 20% |
Lack of BigData tools | 34% |
Slow query speeds | 30% |
Expense of implementation and maintenance | 42% |
Security and reliability | 45% |
Source:1010data, December 2013 |
When probed further, executives felt that Hadoop projects were more complex than other IT projects,
with 43% saying that it’s hard to find talent experienced with the programs, and 41% saying Hadoop is very new and not as stable as other technologies.
Alternatives To Apache Hadoop 2.0 Are Better For Business Use, Says Executive Survey |
Top Reasons Cited For Alternatives | % of Respondents |
Simplified data integration | 42% |
More affordability | 35% |
Faster query speeds | 34% |
Generate faster time to results & value | 34% |
Better tailored for business needs | 33% |
More advanced
analytics | 26% |
Greater scalability | 21% |
Give the ability to do data mash ups | 18% |
No coding is required | 15% |
Source:1010data, December 2013 |
Sandy Steier, co-founder and CEO of 1010data, concludes that “… the research shows that the business
community has high expectations for Big Data, with most believing that it will reach its potential in the next five years. However, there is also significant concern with many existing approaches to
dealing with Big Data… “
For additional information, and to download the full report, please visit
here.