Analytics Strategies Study - 2017 Survey summary charts
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Transcript of Analytics Strategies Study - 2017 Survey summary charts
Analytics Strategies StudySummary ChartsOctober – December 2017
Supply Chain Insights LLC Copyright © 2018, p. 2
Agenda
Study Overview
Summary
Analytics Strategies
Familiarity
Investment
Criteria
Evaluation
Center of Excellence
Company Performance
Supply Chain Insights LLC Copyright © 2018, p. 4
Respondents Are Split between Users, Vendors, and Other
Types of Professionals
Supply Chain Insights LLC Copyright © 2018, p. 5
User Respondents Are Primarily
in the Process and Discrete Industries
Supply Chain Insights LLC Copyright © 2018, p. 6
Top Industries Among Users Are Consumer Packaged Goods
and Industrial Manufacturing
Supply Chain Insights LLC Copyright © 2018, p. 7
One-Third of Respondents Are Director or Higher and Nearly
Three-Quarters Work in a Supply Chain Role
Supply Chain Insights LLC Copyright © 2018, p. 8
Respondents Are Primarily Based in North America or
Western Europe
Supply Chain Insights LLC Copyright © 2018, p. 9
Agenda
Study Overview
Summary
Analytics Strategies
Familiarity
Investment
Criteria
Evaluation
Center of Excellence
Company Performance
Supply Chain Insights LLC Copyright © 2018, p. 10
Agenda
Study Overview
Summary
Analytics Strategies
Familiarity
Investment
Criteria
Evaluation
Center of Excellence
Company Performance
Supply Chain Insights LLC Copyright © 2018, p. 11
Supply Chain Insights LLC Copyright © 2018, p. 12
All Respondents Were Required to Have Some Familiarity
with Analytics Strategies
Supply Chain Insights LLC Copyright © 2018, p. 13
Respondents Are Most Familiar with “Probabilistic
Forecasting” and Least Familiar with “Apache Spark”
Supply Chain Insights LLC Copyright © 2018, p. 14
Vendors Are Reportedly More Familiar Than Users with
“Sentiment Analysis,” “Fuzzy Logic,” and “Hadoop”
Supply Chain Insights LLC Copyright © 2018, p. 15
Users Claim to Be More Familiar with Nearly All Terms Asked
About Than Vendors Believe Users Are
Supply Chain Insights LLC Copyright © 2018, p. 16
Vendors Rate Their Own Familiarity as Notably Higher Than
Their Opinion of Users
Supply Chain Insights LLC Copyright © 2018, p. 17
Agenda
Study Overview
Summary
Analytics Strategies
Familiarity
Investment
Criteria
Evaluation
Center of Excellence
Company Performance
Supply Chain Insights LLC Copyright © 2018, p. 18
Only 18% of Users Believe Their Company Is Among the First
to Try New Analytics Strategies
Supply Chain Insights LLC Copyright © 2018, p. 19
Users Report Highest Adoption Is in Data Visualization
Supply Chain Insights LLC Copyright © 2018, p. 20
Vendors Also Report Highest Adoption Is in Data
Visualization
Supply Chain Insights LLC Copyright © 2018, p. 21
Vendors Report Higher Investment in Sentiment Analysis and
Data Visualization Than Is Reported by Users
Supply Chain Insights LLC Copyright © 2018, p. 22
Users and Vendors Agree That Companies Are Investing
TOO LITTLE in Analytics Strategies
Supply Chain Insights LLC Copyright © 2018, p. 27
Top Elements Believed to Be Included in the
Internet of Things Are Preventative Maintenance,
Manufacturing Automation, and VMI
Supply Chain Insights LLC Copyright © 2018, p. 28
Top Element Believed to Be Included in Unstructured Data
Mining Is Social Sentiment Data
Supply Chain Insights LLC Copyright © 2018, p. 29
Agenda
Study Overview
Summary
Analytics Strategies
Familiarity
Investment
Criteria
Evaluation
Center of Excellence
Company Performance
Supply Chain Insights LLC Copyright © 2018, p. 30
Users Report IT and Business Leadership Are Most Likely
Groups to Determine Analytics Investments
Supply Chain Insights LLC Copyright © 2018, p. 31
Users and Vendors Agree That IT and Business Leadership
Are Most Likely Groups to Determine Analytics Investment
Supply Chain Insights LLC Copyright © 2018, p. 32
Return on Investment and Usability Are Top Criteria When
Selecting Analytics Strategies
Supply Chain Insights LLC Copyright © 2018, p. 33
Users Are More Likely Than Vendors to Believe IT Standardization
Is Important When Selecting Analytics Strategies
Supply Chain Insights LLC Copyright © 2018, p. 34
Usability, ROI, and Cost Are Among Top Criteria for Users and
Vendors When Selecting Analytics Strategies
Supply Chain Insights LLC Copyright © 2018, p. 35
Agenda
Study Overview
Summary
Analytics Strategies
Familiarity
Investment
Criteria
Evaluation
Center of Excellence
Company Performance
Supply Chain Insights LLC Copyright © 2018, p. 36
Users Are More Satisfied with Their Analytics Strategies Than
Vendors Believe Them to Be
Supply Chain Insights LLC Copyright © 2018, p. 41
While Data Visualization and the Internet of Things Are Seen as
Most Disruptive Today, in Five Years It Will Be Blockchain and
Cognitive Computing
Supply Chain Insights LLC Copyright © 2018, p. 42
Overall, Respondents Believe Blockchain, Cognitive Computing,
Software Robots, and Drones Will INCREASE in Level of Disruption
Supply Chain Insights LLC Copyright © 2018, p. 43
Data Visualization, Internet of Things, Data Lakes, and
Hadoop Are Expected to DECREASE in Level of Disruption
Supply Chain Insights LLC Copyright © 2018, p. 44
Users and Vendors Agree That Data Visualization and the
Internet of Things Are Most Disruptive TODAY
Supply Chain Insights LLC Copyright © 2018, p. 45
Vendors Believe the Internet of Things Will Be Most
Disruptive in FIVE YEARS Than Do Users
Supply Chain Insights LLC Copyright © 2018, p. 46
What OTHER Analytics Strategies Users Are Excited About
Supply Chain Insights LLC Copyright © 2018, p. 47
What OTHER Analytics Strategies Vendors Are Excited About
Supply Chain Insights LLC Copyright © 2018, p. 48
What OTHER Analytics Strategies Other Professionals
Are Excited About
Supply Chain Insights LLC Copyright © 2018, p. 49
Alignment Between Business & IT and Employee Skill Levels
Are Top Two Challenges with Analytics Strategies
Supply Chain Insights LLC Copyright © 2018, p. 50
Users and Vendors Agree on Alignment Between Business
and IT as Among Top Challenges with Analytics
Supply Chain Insights LLC Copyright © 2018, p. 51
Users See Management of the Rate of Change as a Bigger
Challenge While Vendors Believe It Is Leadership Support
Supply Chain Insights LLC Copyright © 2018, p. 52
Agenda
Study Overview
Summary
Analytics Strategies
Familiarity
Investment
Criteria
Evaluation
Center of Excellence
Company Performance
Supply Chain Insights LLC Copyright © 2018, p. 53
One-Quarter of User Companies Have an
Analytics Center of Excellence
Supply Chain Insights LLC Copyright © 2018, p. 54
While One-Quarter of User Companies Have an Analytics
Center of Excellence, Most Vendors Believe They Exist
Supply Chain Insights LLC Copyright © 2018, p. 55
Vendors Believe the Analytics Center of Excellence
Should Report to Operations or Supply Chain
Supply Chain Insights LLC Copyright © 2018, p. 56
Agenda
Study Overview
Summary
Analytics Strategies
Familiarity
Investment
Criteria
Evaluation
Center of Excellence
Company Performance
Supply Chain Insights LLC Copyright © 2018, p. 57
Overall, Companies Are Better at Data-Driven Decisions and Data
Access Than Maximizing Analytics Technologies or Testing
Analytical Concepts
Supply Chain Insights LLC Copyright © 2018, p. 58
Users Rate Themselves Higher on Analytics Elements Asked
About Than Vendors Rate Users
Supply Chain Insights LLC Copyright © 2018, p. 59
Nearly All Users Report Their Company Is Dependent on
Excel Spreadsheets
Supply Chain Insights LLC Copyright © 2018, p. 60
Users and Vendors Agree on User Dependence on Excel
Spreadsheets
Supply Chain Insights LLC Copyright © 2018, p. 61
About One-Quarter of Users Are Satisfied with Speed of
Getting Data within the Enterprise or within the Network
Supply Chain Insights LLC Copyright © 2018, p. 62
One-Fifth of Vendors Believe Users Are Satisfied with the Speed of
Getting Data within the Enterprise, Yet Even Fewer Believe They
Are Satisfied with the Speed within the Network
Supply Chain Insights LLC Copyright © 2018, p. 63
Users and Vendors Agree on the Low Level of Satisfaction
with the Speed of Getting Data within the ENTERPRISE
Supply Chain Insights LLC Copyright © 2018, p. 64
Users Are More Satisfied with the Speed of Getting Data
within the NETWORK Than Vendors Believe They Are