is your staff big data ready? 5 things to know about what it will take to succeed
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Copyright (c) 2014 CompTIA Properties, LLC. All Rights Reserved. | CompTIA.org
Is Your Staff Big Data Ready?
#1Does big data matter? Can you articulate why it matters to your firm?
Everyone is doing it…
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”
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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
The Organizational Self-Assessment
Data Analytics or Data Capability TypeCurrently
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
#2Laying the groundwork through data mapping
Data Management and Utilization Framework
Consensus Definition of Big Data: the 3 VsA 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
A Data Mapping Framework
Data Mapping Framework
Source & Type Frequency Ownership Output & Tools
#3Data management and utilization is a team sport
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
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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
16%
56%
28%
High degree of data silosModerate degree of silosLittle 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
#4Getting the right mix of skills and capabilities
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
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
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
#5Expect a multi-faceted approach to meeting data skills needs
Planned Strategies to Meet Data-Related Skills Needs
Contract with outside technology firms
Contract with outside business_x000d_ consultanting firms
Hire new employees with desired expertise
Utilize current capabilities, working_x000d_ to improve along the way
Provide training to current employees
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26%
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62%
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36%
59%
Large firms
Medium firms
Small firms
Source: CompTIA 2nd Annual Big Data Insights and Opportunities study
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.
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
