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CompTIA Colloquium 2014: Big Data: Are You Ready for this Growing Market?


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According to CompTIA research, nearly 8 in 10 executives agree: "If we could harness all of our data, we would be a much stronger business." Add to that Gartner’s estimate there will be a need for 4.4 million IT jobs globally to support big data by 2015, and there’s not enough talent in the industry to fill this need. The certification and training industry has a big opportunity here.

So what can you do to help train the next generation of IT and business professionals? Beyond database administrators and analysts, what are the new breed of skills needed to manage huge volumes of big data – both structured and unstructured? Hear highlights from CompTIA's Big Data research, presented at Colloquium 2014.

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CompTIA Colloquium 2014: Big Data: Are You Ready for this Growing Market?

  1. 1. Big Data: Are You Ready for this Growing Market? Tim Herbert VP, Research & Market Intelligence CompTIA
  2. 2. On Tap for Today: Learning Objectives Objective 1: framing the discussion Objective 2: understanding needs Objective 3: assessing opportunities
  3. 3. What is Big Data? …it’s ‘complicated’
  4. 4. Big Data: It’s All Relative Consensus Definition: the 3 Vs A volume, velocity and variety of data that exceeds an organization’s storage, compute and management capacity for accurate and timely decision-making. (Source: The MetaGroup) Emerging add-ons to the definition: veracity and value Most companies operate somewhere along the data continuum
  5. 5. Users Become More Familiar with Concepts Associated with Big Data Familiarity with Big Data Concepts 2012 76% 2013 55% 45% Google Search Trending Cloud Computing Big Data BYOD 100 80 60 40 24% 20 Somewhat Familiar / Not That Familiar NET Familiar 0 2011 2012 2013
  6. 6. Why the Interest in Big Data? Top 5 Consequences of Ineffectively Managing/Using Data 1 Wasted time that could be spent in other areas of the business 2 Internal confusion over priorities 3 Inefficient or slow decision-making / Lack of agility 4 Inability to effectively assess staff performance 5 Lost sales 8 in 10 executives agree (NET) to the statement: "If we could harness all of our data, we'd be a much stronger business”
  7. 7. Data Management and Utilization Framework
  8. 8. Challenge #1: Lack of a Unified Data Strategy Structured Data Silos Reduce Data Utility for Many Businesses 10% High Degree of Data Silos Little or No Data Silos 28% 16% Unstructured Data 56% Moderate Degree of Data Silos Fewer than 1 in 3 companies can provide a robust single customer view (CSV) Source: CompTIA’s Big Data Insights & Opportunities study
  9. 9. Challenge #2: Asking the Right Questions and then Aligning to Possible Sources of Answers Top 5 Challenges in Using Data Analysis Tools 1 Matching data findings to business objectives 2 Integrating data tools with existing data sets 3 Understanding data needs of all business units 4 Building appropriate skills in areas of data management/analysis 5 Evaluating available tools for data management/analysis 57% of businesses report currently using some type of data analysis, data mining or business intelligence tools; another 36% plan to start using soon.
  10. 10. Challenge #3: Reducing Big Data Challenges to Lots of Manageable Small Data Tasks Data Analytics or Data Capability Type Doing, But Currently Want to Doing Well Improve Want to Start Doing Real-time analysis of incoming data 26% 52% 17% Search capabilities across organization's data sources 24% 50% 17% Website traffic analysis 28% 47% 16% Remote or mobile access to corporate data 26% 46% 20% Customer profiling and segmentation analysis 24% 46% 24% Visualization capabilities (e.g. dashboards, etc.) 24% 46% 19% Predictive analytics 23% 44% 25% Email marketing campaign effectiveness 32% 42% 14% Social media monitoring 26% 40% 22% Metrics and Key Performance Indicators (KPIs) 23% 39% 26% Relationship analysis and pattern recognition 26% 37% 26%
  11. 11. 6 in 10 businesses report being significantly or moderately deficient in data-related skills
  12. 12. Big Data Skills Span Many Functional Areas IT-centric skills Data Infrastructure Hybrid skill sets Data Management, Processing & Analytics Interpretation, BI, Visualization & Presentation Businesscentric skills
  13. 13. Big Data Jobs: Demand Projections Projects 4.4 million new IT jobs will be created globally by 2015 to support big data, with 1.9 million of the jobs created in the U.S. By 2018, projects a shortage of up to 1.69 million big data positions. Of which, 140,000 – 190,000 unfilled positions in deep technical fields and 1.5 million in the area of analytics, business intelligence and data-savvy managers. During last 90 days, there were 67,478 job postings that included a skills requirement in the area of data mining.
  14. 14. Planned Strategies to Meet Data-Related Skills Needs Provide training to current employees Large Firms Medium-size Firms Small Firms Contract with outside business consultants or vendors Contract with outside technology consultants or vendors 43% 36% 32% Utilize current capabilities, working to improve along the way Hire new employees with desired expertise 59% 62% 42% 41% 31% 26% 39% 29% 23% 30% 33% 23%
  15. 15. Big Data Training & Development Framework Data Interpretation & Visualization - Data analytics / BI - Data scientist - Presentation / Visualization Data Management & Processing - Database administrator Architecture / developer Data / application integration Data lifecycle management - Microsoft Certified DBA - Oracle DBA Certified Master - Cloudera Certified Administrator for Apache Hadoop (CDH3) Data Infrastructure - Storage Data center BC/DR Security Data capture - - IBM Certified Specialist – Netezza MicroStrategy Certified Developer SAS Certified Predictive Modeler Tableau Certified Professional Cisco CCNP Data Center EMC Storage Administrator CompTIA Storage+ powered by SNIA CompTIA Security+ VMware Datacenter Administration *Examples are for illustrative purposes ; not meant to be an all inclusive list or not meant to represent market shares.
  16. 16. Desired Data Skill Areas of Improvement Real-time analytics 46% Data mining 37% Relational databases 37% Predictive analytics 35% Data security 34% Standard storage options (cloud, SSD, etc.) 32% Distributed storage (e.g. Hadoop etc.) 28% Data visualization Non-relational databases (e.g. MongoDB etc.) Machine learning 21% 15% 13%
  17. 17. Closing Thoughts - The market will take time to develop. Remember Amara’s Law, “It’s easy to overestimate a technology’s impact in the short-term, while underestimating its impact long-term.” - Many emerging Big Data tools and tactics can be applied to small data problems. - Big Data is an expansive topic with many moving parts. There are opportunities along the entire Big Data chain.
  18. 18. For More Information CompTIA’s research program publishes around 25 unique studies year. CompTIA members and partners have access to a research library containing more than 100 reports covering technology, business, workforce and channel trends. CompTIA research and events is a couple of ways in which the association re-invests resources in the IT channel and the IT workforce. As the voice of the IT industry, CompTIA has hundreds of tools, market intelligence reports and business training programs to help IT channel organizations grow. CompTIA also guides industry training and certification in order to build a stronger and more diverse IT workforce. Visit for more information.