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2014 Big Data Research by IDG Enterprise

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The 2014 IDG Enterprise Big Data research was completed with the goal of gaining a better understanding of organizations’ big data initiatives, investments and strategies. Additional information on the research can be found here: http://bit.ly/1cW0wWR.

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2014 Big Data Research by IDG Enterprise

  1. 1. Big Data Growing Trends and Emerging Opportunities Conducted across the IDG Enterprise brands: CIO, Computerworld, CSO, InfoWorld, ITworld and Network World
  2. 2. Purpose and Methodology Survey Sample Survey Method Total Respondents 751 Collection Online Questionnaire Margin of Error +/- 3.6% Audience Base CIO, Computerworld, CSO, InfoWorld, ITworld, and Network World sites, email, and LinkedIn forums. Number of Questions 46 (incl. demographics) Survey Goal To gain a better understanding of organizations' big data initiatives, investments and strategies. Source: IDG Enterprise Big Data Study, 2014 1
  3. 3. 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. Data in high volume, high velocity and a high variety of information assets can deliver enhanced insights and decision making. Source: IDG Enterprise Big Data Study, 2014 2
  4. 4. Data Terms UNIT SIZE WHAT IT MEANS Bit (b) 1 or 0 Short for “binary digit,” after the binary code (1 or 0) computers use to store and process data. Byte (B) 8 bits Enough information to create an English letter or number in computer code. It is the basic unit of computing. Kilobyte (KB) 1,000 or 210 bytes From “thousand” in Greek. One page of typed text is 2KB. Megabyte (MB) 1,000KB; 220 bytes From “large” in Greek. The complete works of Shakespeare total 5MB. A typical pop song is about 4MB. Gigabyte (GB) 1,000MB; 230 bytes From “giant” in Greek. A two-hour film can be compressed into 1-2GB. Terabyte (TB) 1,000GB; 240 bytes From “monster” in Greek. All the catalogued books in America’s Library of Congress total 15TB. Petabyte (PB) 1,000TB; 250 bytes All letters delivered by America’s postal service this year will amount to around 5PB. Google processes around 1PB every hour. Exabyte (EB) 1,000PB; 260 bytes Equivalent to 10 billion copies of The Economist. Zettabyte (ZB) 1,000EB; 270 bytes Approximately 1,000 Exabytes. Data in 2010 cracked the zettabyte barrier. Yottabyte (YB) 1,000ZB; 280 bytes Currently too big to imagine. Source: The Economist 3 The prefixes are set by an intergovernmental group, the International Bureau of weights and Measures. Yotta and Zetta were added in 1991; terms for larger amounts have yet to be established.
  5. 5. Amount of Data Climbing Sharply 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? BASE: Plans to deploy/implement big data projects. Source: IDG Enterprise Big Data Study, 2014 4
  6. 6. Interest in Big Data Continues to Rise 39% 15% 12% 14% 10% 10% eady deployed/implemented big datain the process… We have plans likely to implement big data projects inhavefuture but to deployspecific timeframedata projects We are projects considering deploying to… We are We are or implementing big data projectsWe the no plans have no or implement big in place within the next 13-24 months 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, 2014 5
  7. 7. CEO Largest Supporter of Big Data Efforts CEO 47% 34% Line of Business (as head) 29% Board of Directors 27% Marketing 24% Finance/Accounting 21% Strategy 20% Engineering 19% Sales 18% Research & Development 14% Customer Service 10% None (this is an IT-only initiative) Not sure 4% 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, 2014 6
  8. 8. Exec. IT Heavily Involved in Big Data Initiatives 36% Capturing 23% 18% 21% 38% Storing 24% 32% 10% 39% Searching/ Sorting 28% 25% 21% 31% Sharing 21% 14% 20% 48% Analyzing 34% 34% 45% 33% Visualizing 22% 17% 21% IT Exec Mid-Level IT IT Pro LOB Q What role do you play personally in your organization’s big data initiatives? I am involved in… BASE: Plans to deploy/implement big data projects. Source: IDG Enterprise Big Data Study, 2014 7
  9. 9. Laying the Groundwork for Big Data Developing or buying software applications 38% Investing in additional server or storage hardware/software 37% 34% Hiring staff with analytics skills Utilizing an open source software framework (e.g., Apache Hadoop) Migrating to cloud-based services for storage Increasing network bandwidth 30% 28% 27% Migrating to cloud-based services for analytics 26% Contracting outside big data expertise 26% 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, 2014 8
  10. 10. Need for Skilled Employees Ranks High 40% 41% Limited availability of skilled employees to analyze data 35% Limited availability of skilled employees to manage big data Limited budget 40% 30% Legacy issues (integration of exisiting tools) 36% 31% 33% 29% 32% 39% 31% 28% 30% 27% 29% 27% 26% Poor data quality Difficulty integrating or analyzing real-time data Development time Growing demand on storage capacity/infrastructure Scalability issues Ability to demonstrate ROI from investments 18% Ownership/control issues 23% 25% 22% 24% 21% 21% 21% Access and usability for end users Ensuring adequate bandwidth to support data capture and analysis Difficulty uncovering actionable insights/inadequate reporting 14% Escalating infrastructure and maintence costs due to data growth Lack of management support 49% 34% 37% Security issues Compliance/regulatory issues 41% 13% 21% 22% 19% 17% <1,000 1,000+ 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 projects. Source: IDG Enterprise Big Data Study, 2014 9
  11. 11. Staffing Up for Big Data Initiatives Q. With regard to big data initiatives, what skill sets does your organization currently have? AND Q. Which skill sets is your organization planning to hire within the next 12-18 months? BASE: Plans to deploy/implement big data projects. Source: IDG Enterprise Big Data Study, 2014 10
  12. 12. Conclusion • Organizations are seeing exponential growth in the amount of data managed with an expected increase of 76% within the next 12-18 months. • Companies are intensifying their efforts to derive value through big data initiatives with nearly half (49%) of respondents already implementing big data projects or in the process of doing so in the future; however, enterprise organizations are ahead of the curve in implementation plans compared to SMB organizations. • CEOs are focused on the value of big data and are partnering with IT executives who will purchase/manage/execute on the strategies. • Organizations are investing in developing or buying software applications, additional sever hardware, and hiring staff with analytics skills in preparation for big data initiatives. • Organizations are facing numerous challenges with big data initiatives and limited availability of skilled employees to analyze and manage data tops the list. • In the next 12-18 months, organizations plan to invest in skill sets necessary for big data deployments, including data scientists (27%), data architects (24%), data analysts (24%), data visualizers (23%), research analysts (21%), and business analysts (21%). Source: IDG Enterprise Big Data Study, 2014 11
  13. 13. Learn More • To view the full results, please contact Sue Yanovitch, VP, Marketing of IDG Enterprise at syanovitch@idgenterprise.com. 12

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