APRIL 2014 Sponsored by: An Exclusive Survey and Research Report COMP E TITIVE E DG E RESEARCH REPORTS ROADBLOCKS CRUMBLING: Midmarket Companies See Early Success Big Data WITH Big data initiatives, enabled by new analytics tools and strengthening ties between business and IT leaders, are helping midsize organizations achieve the improved product quality and decision-making once reserved for large enterprises.
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APRIL 2014
Sponsored by:
An Exclusive Survey and Research Report
COMPETITIVE EDGE R E S E A R C H R E P O RT S
ROADBLOCKS CRUMBLING:
Midmarket Companies See Early Success Big
DataWITH
Big data initiatives,
enabled by new
analytics tools and
strengthening ties
between business and
IT leaders, are helping
midsize organizations
achieve the improved
product quality and
decision-making once
reserved for large
enterprises.
BIG DATA: Midmarket Companies See Early Success
COMPETITIVE EDGE RESEARCH REPORTS 2
Contents3 Executive Summary
4 Methodology
5 Introduction 5 FIGURE1:“Growing Adoption of Big Data”
5 Big Data Drivers 5 FIGURE2:“Picking the Low Hanging Fruit”
6 Success Factors 6 FIGURE3:“Most Valuable Big Data Tools”
7 Early Results 7 FIGURE4:“A Big Boost for Decision-Making”
8 FIGURE5:“Where Big Data Is Successful”
8 Challenges 9 FIGURE6:“Data Volumes, Budget Limitations Top Big Data Challenges”
9 Lessons Learned/Key Observations 10FIGURE7:“Path to Success: Strong Ties Between Business and IT”
10 Summary and Conclusion
11 Sponsor’s Statement: Succeeding in the Data Economy: An Opportunity for All
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uBudgets will rise to an average of $6 millionover
thenexttwoyearsascompaniesinvestmorein
hardware,softwareandtraining.
uThe biggest drivers ofbigdataprojectsuccess
areIT/businesscollaboration,properskillsand
performancemanagementtogaugetheeffectsofbig
datainitiatives.
uThe biggest causes of failure inbigdatainitiatives
arelackofIT/businesscooperationandlackoftools
andskills.
uThe most influential departmentsinbigdataprojects
areITandsales/marketing.
u The most effective tools inbigdatainitiatives
arereal-timeprocessing,predictiveanalytics,data
cleansing,datadashboardsandvisualization.
Methodology pie/bar chartsRespondents by title – pie C-level or vice president: 50%Director or manager: 50%
Respondents by functional area – pie IT involvement: 67%Business: 33%
Figure 1 – pie chart[head] Growing Adoption of Big Data[deck] 96 percent of respondents say they either already have one or more big data initiatives in place or are just getting started with one. (% responding)
My organization is just getting started with a big data project: 55%My organization has one or more big data initiatives in place: 41%My organization has no big data initiative in place but has discussed implementing such a program in the foreseeable future: 4%
Base: Survey of 300 executives at midsize organizations worldwide Source: Competitive Edge Research, November 2013 Big Data Survey
Methodology pie/bar chartsRespondents by title – pie C-level or vice president: 50%Director or manager: 50%
Respondents by functional area – pie IT involvement: 67%Business: 33%
Figure 1 – pie chart[head] Growing Adoption of Big Data[deck] 96 percent of respondents say they either already have one or more big data initiatives in place or are just getting started with one. (% responding)
My organization is just getting started with a big data project: 55%My organization has one or more big data initiatives in place: 41%My organization has no big data initiative in place but has discussed implementing such a program in the foreseeable future: 4%
Base: Survey of 300 executives at midsize organizations worldwide Source: Competitive Edge Research, November 2013 Big Data Survey
Methodology pie/bar chartsRespondents by title – pie C-level or vice president: 50%Director or manager: 50%
Respondents by functional area – pie IT involvement: 67%Business: 33%
Figure 1 – pie chart[head] Growing Adoption of Big Data[deck] 96 percent of respondents say they either already have one or more big data initiatives in place or are just getting started with one. (% responding)
My organization is just getting started with a big data project: 55%My organization has one or more big data initiatives in place: 41%My organization has no big data initiative in place but has discussed implementing such a program in the foreseeable future: 4%
Base: Survey of 300 executives at midsize organizations worldwide Source: Competitive Edge Research, November 2013 Big Data Survey
Growing Adoption of Big Data96 percent of respondents say they either already have one or more big data initiatives in place or are just getting started with one. (% responding)
Most Valuable Big Data ToolsTools that provide insight into real-time data and help predict future events lead the list of what respondents regard as ex-tremely valuable now and in two years. (% responding)
Extremely valuable now Extremely valuable in two years
Methodology pie/bar chartsRespondents by title – pie C-level or vice president: 50%Director or manager: 50%
Respondents by functional area – pie IT involvement: 67%Business: 33%
Figure 1 – pie chart[head] Growing Adoption of Big Data[deck] 96 percent of respondents say they either already have one or more big data initiatives in place or are just getting started with one. (% responding)
My organization is just getting started with a big data project: 55%My organization has one or more big data initiatives in place: 41%My organization has no big data initiative in place but has discussed implementing such a program in the foreseeable future: 4%
Base: Survey of 300 executives at midsize organizations worldwide Source: Competitive Edge Research, November 2013 Big Data Survey
Methodology pie/bar chartsRespondents by title – pie C-level or vice president: 50%Director or manager: 50%
Respondents by functional area – pie IT involvement: 67%Business: 33%
Figure 1 – pie chart[head] Growing Adoption of Big Data[deck] 96 percent of respondents say they either already have one or more big data initiatives in place or are just getting started with one. (% responding)
My organization is just getting started with a big data project: 55%My organization has one or more big data initiatives in place: 41%My organization has no big data initiative in place but has discussed implementing such a program in the foreseeable future: 4%
Base: Survey of 300 executives at midsize organizations worldwide Source: Competitive Edge Research, November 2013 Big Data Survey
Big data initiative in development but not yet in production
Big data system in production*
Improveddecision-making49%
Notyetimproveddecision-making42%
Notsure9%
Improveddecision-making89%
Notyetimproveddecision-making10%
Notsure2%
A Big Boost for Decision-MakingRespondents with big data systems already deployed report significant improvements in decision-making. (% responding)
Where Big Data Is SuccessfulRespondents grade themselves “very well” on strategic tasks significantly more often after big data is deployed. (% responding)
Data Volumes, Budget Limitations Top Big Data ChallengesWhen asked what are the biggest challenges facing their organizations in using big data and analytics tools to achieve their business goals, respondents mention the following issues. (% responding)
Path to Success: Strong Ties Between Business and ITRespondents say forging a strong bond between business and IT management is key for big data projects to succeed. (% responding)