Is Your Staff Big Data Ready? 5 Things to Know About What It Will Take to Succeed

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Is Your Staff Big Data Ready? 5 Things to Know About What It Will Take to Succeed

  1. 1. 20-Minute Channel Byte Copyright (c) 2014 CompTIA Properties, LLC. All Rights Reserved. | CompTIA.org Is Your Staff Big Data Ready?
  2. 2. #1 Does big data matter? Can you articulate why it matters to your firm?
  3. 3. Everyone is doing it…
  4. 4. Making the Case for Becoming More Data Savvy 8 in 10 executives agree to the statement (NET): "If we could harness all of our data, we'd be a much stronger business” 1 2 3 4 5 Wasted time that could be spent in other areas of the business Internal confusion over priorities Inefficient or slow decision-making / Lack of agility Inability to effectively assess staff performance Lost sales Top 5 Consequences of Ineffectively Managing/Using Data Source: CompTIA 2nd Annual Big Data Insights and Opportunities study
  5. 5. The Organizational Self-Assessment Data Analytics or Data Capability Type Currently Doing Well Doing, But Want to 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% Source: CompTIA 2nd Annual Big Data Insights and Opportunities study
  6. 6. #2 Laying the groundwork through data mapping
  7. 7. Data Management and Utilization Framework Consensus Definition of Big Data: 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 Source: CompTIA 2nd Annual Big Data Insights and Opportunities study
  8. 8. A Data Mapping Framework Data Mapping Framework Source & Type Frequency Ownership Output & Tools
  9. 9. #3 Data management and utilization is a team sport
  10. 10. Getting All the Pieces into Proper Alignment Matching data findings to business objectives Integrating data tools with existing data sets Understanding data needs of all business units Building appropriate skills in areas of data management/analysis Evaluating available tools for data management/analysis Top 5 Challenges in Using Data Analysis Tools 1 2 3 4 5 57% of businesses report currently using some type of data analysis, data mining or business intelligence tools; another 36% plan to start using soon. Source: CompTIA 2nd Annual Big Data Insights and Opportunities study
  11. 11. 16% 56% 28% High degree of data silos Moderate degree of silos Little or no silos Hurdles in Moving Toward a Unified Data Strategy “Shadow” Data Repositories Further Complicate Data Management Silos Reduce Data Utility Source: CompTIA 2nd Annual Big Data Insights and Opportunities study 24% 43% 33% Yes, definitely Yes, probably No or don't know Reported incidence of “shadow” data repositories
  12. 12. #4 Getting the right mix of skills and capabilities
  13. 13. Big Data Skills Span Many Functional Areas IT-centric skills Business- centric skills Hybrid skill sets Data Infrastructure Interpretation, BI, Visualization & Presentation Data Management, Processing & Analytics Source: CompTIA 2nd Annual Big Data Insights and Opportunities study
  14. 14. Big Data Skills Framework - Storage - Data center - BC/DR - Security - Data capture - Database administrator - Architecture / developer - Data / application integration - Data lifecycle management - Data analytics / BI - Data scientist - Presentation / Visualization - 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 - Microsoft Certified DBA - Oracle DBA Certified Master - Cloudera Certified Administrator for Apache Hadoop (CCAH) Data Interpretation & Visualization Data Management & Processing Data Infrastructure Source: CompTIA 2nd Annual Big Data Insights and Opportunities study Examples for illustrative purposes only
  15. 15. Facebook Case Study: Job Posting for Data Scientist Sample of key responsibilities for Facebook data scientist job opening: • Answer product questions by using appropriate statistical techniques on available data • Drive the collection of new data and the refinement of existing data sources • Develop best practices for instrumentation and experimentation and communicate those to product engineering teams • Communicate findings to product managers and engineers Sample of skill requirements for Facebook data scientist job opening: • Comfort manipulating and analyzing complex, high-volume, high- dimensionality data from varying sources • A strong passion for empirical research and for answering hard questions with data • Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.) • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner
  16. 16. #5 Expect a multi-faceted approach to meeting data skills needs
  17. 17. Planned Strategies to Meet Data-Related Skills Needs 23% 23% 26% 42% 43% 33% 29% 31% 32% 62% 30% 39% 41% 36% 59% Contract with outside technology firms Contract with outside business consultanting firms Hire new employees with desired expertise Utilize current capabilities, working to improve along the way Provide training to current employees Large firms Medium firms Small firms Source: CompTIA 2nd Annual Big Data Insights and Opportunities study
  18. 18. A Looming Crunch for Big Data Workers? 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 Q1, there were 67,478 job postings that included a skills requirement in the area of data mining.
  19. 19. Where the Dollars are Flowing $115,531 R $114,796 NoSQL $114,396 MapReduce $112,382 Cassandra $109,561 Pig $108,669 Hadoop $107,825 Mongo DB $106,542 Big data $102,812 Hive $90,643 MySQL Mean Salary 2013 % Change YoY Data architect $118,756 + 3.8% Database administrator $101,166 + 7.1% Database developer $95,513 + 7.6% Business analyst $90,180 + 1.5% High Paying Data Skills
  20. 20. Thank You Tim Herbert therbert@comptia.org @timjherbert http://www.comptia.org/events/webinars/upcoming.aspx

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