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


Respondents Are Split between Users, Vendors, and Other

Types of Professionals


User Respondents Are Primarily

in the Process and Discrete Industries


Top Industries Among Users Are Consumer Packaged Goods

and Industrial Manufacturing


One-Third of Respondents Are Director or Higher and Nearly

Three-Quarters Work in a Supply Chain Role


Respondents Are Primarily Based in North America or

Western Europe


Agenda

Study Overview

Summary


Familiarity

Investment

Criteria

Evaluation


Company Performance


All Respondents Were Required to Have Some Familiarity

with Analytics Strategies


Respondents Are Most Familiar with “Probabilistic

Forecasting” and Least Familiar with “Apache Spark”


Vendors Are Reportedly More Familiar Than Users with

“Sentiment Analysis,” “Fuzzy Logic,” and “Hadoop”


Users Claim to Be More Familiar with Nearly All Terms Asked

About Than Vendors Believe Users Are


Vendors Rate Their Own Familiarity as Notably Higher Than

Their Opinion of Users


Agenda

Study Overview

Summary


Familiarity

Investment

Criteria

Evaluation


Company Performance


Only 18% of Users Believe Their Company Is Among the First

to Try New Analytics Strategies


Users Report Highest Adoption Is in Data Visualization


Vendors Also Report Highest Adoption Is in Data

Visualization


Vendors Report Higher Investment in Sentiment Analysis and

Data Visualization Than Is Reported by Users


Users and Vendors Agree That Companies Are Investing

TOO LITTLE in Analytics Strategies


Top Elements Believed to Be Included in the

Internet of Things Are Preventative Maintenance,

Manufacturing Automation, and VMI


Top Element Believed to Be Included in Unstructured Data

Mining Is Social Sentiment Data


Agenda

Study Overview

Summary


Familiarity

Investment

Criteria

Evaluation


Company Performance


Users Report IT and Business Leadership Are Most Likely

Groups to Determine Analytics Investments


Users and Vendors Agree That IT and Business Leadership

Are Most Likely Groups to Determine Analytics Investment


Return on Investment and Usability Are Top Criteria When

Selecting Analytics Strategies


Users Are More Likely Than Vendors to Believe IT Standardization

Is Important When Selecting Analytics Strategies


Usability, ROI, and Cost Are Among Top Criteria for Users and

Vendors When Selecting Analytics Strategies


Agenda

Study Overview

Summary


Familiarity

Investment

Criteria

Evaluation


Company Performance


Users Are More Satisfied with Their Analytics Strategies Than

Vendors Believe Them to Be


While Data Visualization and the Internet of Things Are Seen as

Most Disruptive Today, in Five Years It Will Be Blockchain and

Cognitive Computing


Overall, Respondents Believe Blockchain, Cognitive Computing,

Software Robots, and Drones Will INCREASE in Level of Disruption


Data Visualization, Internet of Things, Data Lakes, and

Hadoop Are Expected to DECREASE in Level of Disruption


Users and Vendors Agree That Data Visualization and the

Internet of Things Are Most Disruptive TODAY


Vendors Believe the Internet of Things Will Be Most

Disruptive in FIVE YEARS Than Do Users


What OTHER Analytics Strategies Users Are Excited About


What OTHER Analytics Strategies Vendors Are Excited About


What OTHER Analytics Strategies Other Professionals

Are Excited About


Alignment Between Business & IT and Employee Skill Levels

Are Top Two Challenges with Analytics Strategies


Users and Vendors Agree on Alignment Between Business

and IT as Among Top Challenges with Analytics


Users See Management of the Rate of Change as a Bigger

Challenge While Vendors Believe It Is Leadership Support


Agenda

Study Overview

Summary


Familiarity

Investment

Criteria

Evaluation


Company Performance


One-Quarter of User Companies Have an

Analytics Center of Excellence


While One-Quarter of User Companies Have an Analytics

Center of Excellence, Most Vendors Believe They Exist


Vendors Believe the Analytics Center of Excellence

Should Report to Operations or Supply Chain


Agenda

Study Overview

Summary


Familiarity

Investment

Criteria

Evaluation


Company Performance


Overall, Companies Are Better at Data-Driven Decisions and Data

Access Than Maximizing Analytics Technologies or Testing

Analytical Concepts


Users Rate Themselves Higher on Analytics Elements Asked

About Than Vendors Rate Users


Nearly All Users Report Their Company Is Dependent on

Excel Spreadsheets


Users and Vendors Agree on User Dependence on Excel

Spreadsheets


About One-Quarter of Users Are Satisfied with Speed of

Getting Data within the Enterprise or within the Network


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


Users and Vendors Agree on the Low Level of Satisfaction

with the Speed of Getting Data within the ENTERPRISE


Users Are More Satisfied with the Speed of Getting Data

within the NETWORK Than Vendors Believe They Are

Analytics Strategies Study - 2017 Survey summary charts

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