Market Pulse Research: Big Data Storage & Analytics MARKETING RESEARCH EMPLOYEE ENGAGEMENT A WORLD OF INSIGHTS January 2015 Presented on behalf of HP & Microsoft
METHODOLOGY & RESEARCH OBJECTIVES Sample Field Work Total Respondents Survey Goals This survey was fielded from December 15, 2014 to December 22, 2014 120 qualified completes Method Collection Number of Questions Audience Online Questionnaire 13 (excluding screeners and demographics) To complete this survey, respondents were required to be personally involved in purchase decisions regarding Big Data storage and analytics initiatives at an organization that has some plans to deploy or implement Big Data storage and analytics projects. The purpose of this survey is to gain a better understanding of Big Data storage and analytics initiatives. Specifically the challenges, benefits, and overall objectives of Big Data storage and analytics projects, as well as identification of the primary stakeholders. A WORLD OF INSIGHTS 2
RESPONDENT PROFILE Total Respondents Organization Size 10,000+ employees 3 120 500-9,999 employees 34% <500 employees 3 Mean 10,066 employees Top Represented Job Titles Top Represented Industries IT Management (NET) 69% CIO, CTO 12% CSO Director 1 IT Architect 10% Manager 14% Supervisor Database management 6% Applications management 2% Technical Consultant 7% Business Management (NET) 19% CEO, COO, Chairman, President 8% Executive VP, Senior VP, VP, GM Director Consultant (Non-Technical) Other (Non-Manager) (NET) 12% Technology/Computer related Government (Federal, State, or Local) Financial Services & Insurance Healthcare Education Manufacturing: Discrete or Process 1 1 10% 9% 6% 2 A WORLD OF INSIGHTS 3
RESPONDENT PROFILE (continued ) In this survey we are defining Big Data as an increase in data volume, variety, and velocity (meaning the speed at which data needs to be processed and available for analysis) coupled with an organization s efforts to technically derive intelligence from its transactional, operational and strategic data for effective decision-making. Involvement in purchase decisions regarding Big Data storage and analytics Determine needs Determine features/requirements Evaluate products/services for purchase 69% 7 70% Evaluate where to buy products/services 47% Recommend or specify types of products/services for purchase 64% Recommend or specify brands or vendors for purchase 54% Authorize purchases/approve expenditures 3 S1: How are you personally involved in purchase decisions regarding Big Data storage and analytics at your organization? (Please select all that apply.) A WORLD OF INSIGHTS 4
RESPONDENT PROFILE (continued ) Currently Implementing, Planning or Considering Enterprise-Wide Big Data Storage and Analytic Projects We have already deployed/implemented one or more Big Data storage and analytics projects 28% We are in the process of implementing or pilot testing Big Data storage and analytics projects 14% We have plans to deploy or implement Big Data storage and analytics projects over the next 12 months 28% We are considering deploying or implementing Big Data storage and analytics projects within the next 13-24 months 15% We are likely to implement Big Data storage and analytics projects in the future but are struggling to find the right strategy or solutions 15% S2: Is your company currently implementing, planning or considering enterprise-wide Big Data storage and analytics projects (I.e., devising strategies and projects to generate more value from existing data)? A WORLD OF INSIGHTS 5
KEY FINDINGS Organizations are looking to Big Data storage and analytics initiatives to efficiently handle increasing amount of data, users, and applications, as well as to improve the quality of their data. Top drivers for Big Data and storage analytics initiatives revolve around speed of information, including faster decision-making, anticipation of customer needs, real-time tracking of financial data and the ability to quickly identify new business opportunities. A limited IT budget is the top barrier slowing or even preventing Big Data storage and analytics projects. Beyond budget, integration issues and missing technical expertise are frequently slowing these initiatives. CIOs and other IT management are the primary sponsors of Big Data storage and analytics strategy. When it comes to executing on that strategy, IT management is the most involved although 2 report that a Database Architect is responsible for strategy execution. Larger companies (1,000+ employees) are more likely than smaller companies to report Line-of-Business Analysts are responsible for executing Big Data storage and analytics strategy. Centralized data warehouses, in-database analytics, high-performance computing and complex event processing are the Big Data storage and analytics architectures most often requiring support. The ability to support multiple users simultaneously is the most critical consideration when designing infrastructure to support Big Data storage and analytics projects. Respondents also place high importance on the ability to query structured and unstructured data, and to load large datasets quickly. When evaluating solutions to support Big Data storage and analytics projects, the ability to use standard tools and scalability are the most sought after features. Almost half (47%) either have converged systems as part of their infrastructure today or will consider converged systems over the next year. Larger companies (1,000+ employees) are more likely to have converged systems part of their infrastructure today (39% vs 15%). A WORLD OF INSIGHTS 6
KEY FINDINGS (continued ) Improved IT staff efficiency and improved utilization of IT resources are viewed as the top benefits of converged systems. Three-quarters (76%) of organizations are either already using converged systems (10%) or are at least somewhat likely to consider them (66%) when designing their infrastructures to support Big Data storage and analytics projects. Of the many important potential outcomes of Big Data storage and analytics projects, improved decisionmaking is at the top of the list. Respondents also cite a unified view of information and improved collaboration among the most important benefits. A WORLD OF INSIGHTS 7
A WORLD OF INSIGHTS 8 SURVEY RESULTS
Organizations are looking to Big Data storage and analytics initiatives to efficiently handle increasing amount of data, users, and applications, as well as to improve the quality of their data. Top Pain Points Seeking to Address with Big Data Storage and Analytics Initiatives Handling increasing amounts of data, users, and applications in quick and efficient manner Improving data quality (accuracy, completeness, and consistency) 50% 47% Improving system response time Integrating and managing siloed data and applications Defining standards for information infrastructure & data management Eliminating data redundancy Reducing data latency 34% 3 3 27% 19% Other Don t know 2% 5% Q1: What are the top pain points that your organization is looking to address with its Big Data storage and analytics initiatives? (Please select up to three.) A WORLD OF INSIGHTS 9
Top drivers for Big Data and storage analytics initiatives revolve around speed of information, including faster decision-making, anticipation of customer needs, real-time tracking of financial data and the ability to quickly identify new business opportunities. Top Business Objectives Driving Big Data Storage and Analytics Initiatives Creating executive dashboards for more informed, faster decision-making 39% Predicting and responding to customer needs in real-time Real-time tracking of financial data (cost, pricing, time to market) Having the ability to quickly identify new business opportunities Providing self-service capabilities to end users Responding to changes in the marketplace before a trend is established Driving/designing/launching new product or service offerings Acquiring new customers and engaging current customers Preparing for integration with the Internet of Things (IoT) Entering new market segments 29% 29% 26% 26% 24% 22% 2 14% 1 Other Don t know Q2: What are the top business objectives driving your organization s Big Data storage and analytics initiatives? (Please select up to three.) A WORLD OF INSIGHTS 10
A limited IT budget is the top barrier slowing or even preventing Big Data storage and analytics projects. Beyond budget, integration issues and missing technical expertise are frequently slowing these initiatives. Primary Barriers Slowing Big Data Storage and Analytics Projects IT budget Integration with current data/storage infrastructure 48% 62% IT budget is more likely to be a barrier among those who are still in the planning stages with respect to Big Data storage and analytics. Technical expertise (i.e., no Data Scientist on staff) 44% Time constraints Current software of analytics solution capability Hardware capability Other 20% 25% 38% Companies likely to implement Big Data storage projects in the future but struggling to find the right strategy are more likely to report limited technical expertise as a primary barrier. None Don t know Q3: What are the primary barriers slowing or preventing Big Data storage and analytics projects at your organization? (Please select all that apply.) A WORLD OF INSIGHTS 11
CIOs and other IT management are the primary sponsors of Big Data storage and analytics strategy. Primarily Responsible for Big Data Storage and Analytics Strategy CIO 37% IT Management 27% CTO CEO 1 10% CFO CMO Other Don t know 9% Q4: Who in your organization is primarily responsible for (or executive sponsor of) your Big Data storage and analytics strategy? A WORLD OF INSIGHTS 12
When it comes to executing on that strategy, IT management is the most involved although 2 report that a Database Architect is responsible for strategy execution. Responsible for Executing Big Data Storage and Analytics Strategy IT Management 7 Database Architect 2 Line-of-Business Analyst Development Lead 18% 14% Larger companies (1,000+ employees) are more likely than smaller companies to report Line-of-Business Analysts are responsible for executing Big Data storage and analytics strategy (28% vs 4%). Data Scientist(s) 1 Other 8% Don t know Q5: Who in your organization is responsible for executing your Big Data storage and analytics strategy? (Please select all that apply.) A WORLD OF INSIGHTS 13
Centralized data warehouses, in-database analytics, high-performance computing and complex event processing are the Big Data storage and analytics architectures most often requiring support. Big Data Storage and Analytics Architectures Requiring Support Centralized data warehouses In-database analytics High-performance computing Complex event processing Analytic appliances In-memory processing 46% 4 4 38% 3 28% Hadoop Other 6% 26% Larger companies (1,000+ employees) are more likely than smaller companies to report Hadoop needs or will need to be supported at their organization (35% vs 1). Don t know 12% Q6: Which of the following Big Data storage and analytics architectures do or will need to be supported at your organization? (Please select all that apply.) A WORLD OF INSIGHTS 14
The ability to support multiple users simultaneously is the most critical consideration when designing infrastructure to support Big Data storage and analytics projects. Important Considerations When Designing Infrastructure to Support Big Data Storage and Analytics Projects % Critical/ Very important Supporting multiple users simultaneously 37% 4 15% 79% Ability to execute queries on structured and unstructured data 25% 49% 2 74% Loading large datasets quickly 28% 4 2 5% 7 Speed to provide user queries with significatnly higher levels of I/O throughput 30% 36% 26% 2% 6% 66% Complex processing requests 22% 39% 32% 4% 6 Tying together and integrating the worlds of relational and Hadoop data 15% 32% 3 10% 4% 6% 47% Executing ODBC calls 1 3 34% 10% 4% 6% 46% Critical Very important Somewhat important Not very important Not at all important Don't know Q7: How important are the following considerations at your organization when designing your infrastructure to support Big Data storage and analytics projects? A WORLD OF INSIGHTS 15
When evaluating solutions to support Big Data storage and analytics projects, the ability to use standard tools and scalability are the most sought after features. Important Features When Evaluating Solutions to Support Big Data Storage and Analytics Projects % Critical/ Very important Ability to use standard tools 24% 56% 18% 2% 80% Scalability 37% 42% 18% 78% Leading performance 29% 38% 28% 2% 67% Fast time to value 28% 38% 27% 66% Larger companies (1,000+ employees) are more likely than smaller companies to report leading price is an important feature (72% vs 52%). Leading price Deep integration 2 22% 4 38% 25% 28% 7% 4% 8% 2% 64% 60% Collaborative support approach 18% 4 3 6% 60% Modularity 18% 4 3 8% 58% Critical Very important Somewhat important Not very important Not at all important Don't know Q8: How important are the following features when evaluating solutions to support your Big Data storage and analytics projects? A WORLD OF INSIGHTS 16
On average, 7 months is cited as a reasonable timeframe for implementing a Big data storage and analytics solution; over half (59%) consider 3 to 12 months to be a reasonable period of time. Reasonable Timeframe to Implement Big Data Storage and Analytics Solutions 24% 8% 7% 28% 1 to less than 2 months 2 to less than 3 months 3 to less than 6 months 6 to less than 12 months 12 months or longer Don t know 3 Mean = 7 months Q9: In your opinion, what is a reasonable timeframe to implement a Big Data storage and analytics solution? A WORLD OF INSIGHTS 17
Almost half (47%) either have converged systems as part of their infrastructure today or will consider converged systems over the next year. In this survey we define converged systems as purpose-built systems which combine physical server hardware, software, networking, storage and unified management and support on one single box. Organization s Current Attitude Towards Converged Systems Converged systems are part of our infrastructure today 29% Larger companies (1,000+ employees) are more likely to have converged systems part of their infrastructure today (39% vs 15%) while smaller companies are more likely to still be researching and/or evaluating converged systems (29% vs 1). In this We survey will consider we converged define systems converged over the next 12 systems as purpose-built systems months 18% which combine physical server hardware, software, networking, storage and We unified are researching management and/or evaluating and converged support systems on one single 19% box. We have no immediate plans to evaluate converged systems 25% Don t know 8% Q10: What is your organization s current attitude towards converged systems? A WORLD OF INSIGHTS 18
Improved IT staff efficiency and improved utilization of IT resources are viewed as the top benefits of converged systems. Most Important Potential Benefits of Converged Systems Improved IT staff efficiency Improved utilization of IT resources 58% 54% Improved disaster recovery Lower Total Cost of Ownership (TCO) Improved business agility Fewer management tools Lower data center/power and cooling costs 46% 4 40% 3 27% Companies that have plans to deploy Big Data storage and analytics projects in the next 12-24 months are more likely than others to consider lower total cost of ownership (TCO) and improved business agility as important potential benefits of converged systems. None Don t know 12% Q11: In your opinion, what are the most important potential benefits of converged systems? (Please select all that apply.) A WORLD OF INSIGHTS 19
Three-quarters (76%) of organizations are either already using converged systems or are at least somewhat likely to consider them when designing their infrastructures to support Big Data storage and analytics projects. Likelihood of Considering Converged Systems When Designing Infrastructure to Support Big Data Storage and Analytics Projects 5% Already using one or more converged systems 10% 17% 15% 28% 2 Extremely likely Very likely Somewhat likely Not very likely Not at all likely Don t know Larger companies (1,000+ employees) are more likely already use one or more converged systems (15% vs 2%). Q12: How likely is your organization to consider converged systems when designing your infrastructure to support Big Data st orage and analytics projects? A WORLD OF INSIGHTS 20
Of the many important potential outcomes of Big Data storage and analytics projects, improved decision-making is at the top of the list. Most Important Potential Outcomes of Big Data Storage and Analytics Projects Improved decision-making 5 Single view of information across the enterprise 40% Improved collaboration/information sharing 38% Providing self-service capabilities to end users 36% Increased IT efficiencies and time savings 35% Better ad-hoc data analysis 3 Increased ROI 32% Faster query speed 30% Added reliability and security 29% Reduced burden on IT Improved ability to scale-up/scale-down to accommodate business needs Lower TCO Reduced provisioning times Other 1 28% 24% 2 Larger companies (1,000+ employees) are more likely than smaller companies to think that improved ability to scaleup/scale-down to accommodate business needs and reduced provisioning times are important potential outcomes of big data storage and analytic projects. Q13: What are the most important potential outcomes of Big Data storage and analytics projects for your organization? (Please select up to five.) A WORLD OF INSIGHTS 21
A WORLD OF INSIGHTS 22 DEMOGRAPHICS
Respondents range in organization size and industry. Number of Employees Industry/Business 20,000 or more 24% Technology/Computer related Government (Federal, State, or Local) 2 1 10,000-19,999 9% Financial Services & Insurance Healthcare 1 10% 7,500-9,999 5% Education 9% 5,000-7,499 Mean = 10,066 employees Manufacturing: Discrete or Process Energy, Gas & Oil 6% 5% 2,500-4,999 6% Professional Services Nonprofit 5% 1,000-2,499 1 Retail Telecommunications 500-999 250-499 8% 7% Aerospace/Defense Engineering/Construction Entertainment 2% 2% Fewer than 250 26% Life Sciences- Pharmaceuticals, Biotech Other 6% D1: Approximately how many people are employed in your entire organization or enterprise? (Please include all plants, divisions, branches, parents and subsidiaries worldwide.) D3: Which one of the following best describes your organization's industry or business? A WORLD OF INSIGHTS 23
Most respondents hold IT management job titles, such as Manager, Director, CIO/CTO, and IT Architect. Job Title IT Management 69% Business Other Management 12% IT/ Networking/ Business Security Management Professionals 19% CIO, CTO CSO VP Director IT Architect Manager Supervisor Database management Applications management Technical Consultant CEO, COO, Chairman, President CFO, Controller, Treasurer Executive VP, Senior VP, VP, GM Director Other Corporate, Business Manager Consultant (Non-Technical) Other (Non-Manager) 12% 2% 1 10% 14% 6% 2% 7% 8% 12% D2: What is your primary job title? A WORLD OF INSIGHTS 24
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