idg enterprise big data research (excerpt)

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


2

Big Data Definition


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.


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


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


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


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

6

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


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.


8

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


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


10

• 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



11

To view the full results, please contact Bob Melk, SVP, Group Publisher & CMO of IDG Enterprise at [email protected].

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idg enterprise big data research (excerpt)

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