Post on 30-Oct-2014
description
Big DataConducted across the IDG Enterprise brands: CIO, Computerworld, CSO, InfoWorld, ITworld and Network World
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
Purpose and Methodology
1
Survey SampleField Work June 25, 2012 –
July 18, 2012
Total Respondents 1,428
Margin of Error +/- 2.6%
Audience Base CIO, Computerworld, CSO, InfoWorld, ITworld, and Network World sites, email, and LinkedIn forums.
Survey Method
Survey GoalTo gain a better understanding of organizations' big data initiatives, investments and strategies.
Collection Online Questionnaire
Number of Questions 38 (incl. demographics)
Source: IDG Enterprise Big Data Study, July 2012
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
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Big Data Definition
Source: IDG Enterprise Big Data Study, July 2012
Large volumes of a wide variety of data collected from various sources across the enterprise including transactional data from enterprise applications/databases, social media data, mobile device data, unstructured data/documents, machine-generated data and more.
Big data technologies are a new generation of technologies and architectures designed to extract value economically from these data sets by enabling high-velocity capture, discovery and/or analysis.
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
3
Amount of Data Rapidly Increasing
Q. Approximately, how much data is your organization currently managing? AND Q. How much data do you expect to be managing 12-18 months from now? Source: IDG Enterprise Big Data Study, July 2012
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
4
Big Data in Early Stages of Adoption
43%
16%
7%10%11%
14%
We have no plans todeploy or implement big
data projects
We are likely toimplement big data
projects in the futurebut have no specifictimeframe in place
We are consideringdeploying or
implementing big dataprojects within the next
13-24 months
We have plans todeploy projects over the
next 12 months
We are in the processof implementing or pilottesting big data projects
We have alreadydeployed/implemented
big data projects
Q. Is your company currently implementing, planning or considering projects (i.e. devising strategies and projects to generate more value from existing data)?Source: IDG Enterprise Big Data Study, July 2012
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
CEO Leads Support of Big Data Efforts
47%
27%
27%
25%
23%
22%
19%
19%
15%
15%
6%
6%
CEO
Line of Business (as head)
Marketing
Strategy
Board of Directors
Finance/Accounting
Sales
Engineering
Reasearch & Development
Customer Service
Not sure
None (this is an IT-only initiative)
Q. Which of the following business groups are supporting or sponsoring your big data efforts? Base: Plans to deploy/implement big data projects. Source: IDG Enterprise Big Data Study, July 2012 CIO Results
5
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
46%
41%
40%
36%
33%
32%
32%
27%
23%
22%
18%
16%
27%
25%
19%
25%
19%
12%
43%
14%
20%
25%
9%
29%
40%
25%
28%
35%
20%
20%
IT Exec Mid-Level IT IT Pro LOB Other Non-Manager
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Exec. IT Heavily Involved in All Big Data Initiatives
Q What role do you play personally in your organization’s big data initiatives? I am involved in…Source: IDG Enterprise Big Data Study, July 2012
Analyzing
Storing
Capturing
Searching/Sorting
Sharing
Visualizing
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
7
Budget Limitations Pose Biggest Challenge
45%36%
34%34%
32%30%
29%29%29%
28%27%
26%24%
23%22%
21%20%
15%2%
1%5%
Limited budgetLegacy issues (e.g., integration of existing tools)
Security issuesDevelopment time
Growing demand on storage capacity/infrastructureScalability issues
Ability to demonstrate ROI from investmentsDifficulty integrating or analyzing real-time data
Poor data qualityLimited availability of skilled developers to manage big dataLimited availability of skilled data scientists to analyze data
Ensuring adequate bandwidth to support data capture and analysisAccess and usability for end users
Ownership/control issuesEscalating infrastructure and maintenance costs due to data growth
Compliance/regulatory issuesDifficulty uncovering actionable insights/inadequate reporting
Lack of management supportOtherNone
Not sure
Q. What are the challenges that your organization is facing or expects to experience with its big data initiatives? BASE: Plans to deploy/implement big data projectsSource: IDG Enterprise Big Data Study, July 2012
Only 29%cite ROI as an obstacle.
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
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Laying the Groundwork for Big Data
38%
37%
33%
31%
26%
24%
23%
21%
15%
Investing in additional server hardware
Developing or buying software applications
Increasing network bandwidth
Hiring staff with analytics skills
Migrating to cloud-based services for storage
Contracting outside big data expertise
Utilizing an open source software framework(e.g., Apache Hadoop)
Migrating to cloud-based services for analytics
Not sure
Q. Which of the following is your organization doing to manage big data initiatives? Base: Plans to deploy/implement big data projects. Source: IDG Enterprise Big Data Study, July 2012
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
9
Staffing Up for Big Data Initiatives
Q. With regard to big data initiatives, what skill sets does your organization currently have? Which skill sets is your organization planning to hire within the next 12-18 months? Source: IDG Enterprise Big Data Study, July 2012
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
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• Organizations are facing big data challenges, but enterprise organizations are seeing data growth at an exponential rate compared to SMB organizations.
• Big data is in the early stages of adoption with 44% of respondents in the process of implementation or planning to do so in the future.
• CEOs are focused on the value of big data and are partnering with IT executives who will purchase/management/execute on the strategies.
• Organizations are facing numerous challenges with big data initiatives and limited budgets tops the list.
• Organizations are investing in additional sever hardware, developing or buying software applications and network bandwidth in preparation for big data initiatives.
• In the next 12-18 months, organizations plan to invest in skill sets necessary for big data deployments, including data architects (30%), data analysts (29%), database programmers (26%), directors or managers of analytics (26%) and research analysts (26%).
Conclusion
Source: IDG Enterprise Big Data Study, July 2012
• METHODOLOGY • DEMOGRAPHICS• RESULTS • CONCLUSION
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To view the full results, please contact Bob Melk, SVP, Group Publisher & CMO of IDG Enterprise at bmelk@idgenterprise.com.
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