Big data 2014 15-Summary Charts From Quantitative Study

Big Data Study

Summary ChartsMay 2014 – January 2015

Supply Chain Insights LLC Copyright © 2015, p. 2

Agenda

Study Overview

Big Data Initiative

Data Trends & Performance


Study Overview


Respondents Are Primarily Manufacturers or Retailers


Respondents Are Spread Across Discrete,

Process, Retail and Other Industries


Respondents Work at Companies with an

Average of 14K Employees and $3B Revenue


Respondents Primarily Work in

Supply Chain, Sales/Marketing or IT Roles


The Most Common Respondent Role Is

Head of the Supply Chain Team


Agenda

Study Overview

Big Data Initiative



Most Respondents Are at Least Somewhat

Familiar with “Big Data”


Over Half See Big Data as an OPPORTUNITY,

Especially Manufacturers, Those with Higher Revenue

and Those with a Big Data Initiative in Place


Why Big Data Is an “Opportunity”

(Volunteered Responses)


Why Big Data Is a “Problem”



Nearly One-Fifth Have a Big Data Initiative

and One-Quarter Plan to Have One


Manufacturers, Those with Higher Revenue,

Those in a Discrete Industry and Those More Familiar with

Big Data Are More Likely to Have a Big Data Initiative


Big Data Initiative Descriptions



IT Tends to Lead the Big Data Initiative,

Followed by a Multi-Discipline Team


Top Techniques for Managing Big Data

Include Better Tools, Managed Services and

Predictive Analytics


Top IT Systems to Benefit from Big Data

Strategies Include Demand Planning, Production Planning,

and Order Management


Those with a Big Data Initiative Report That Production and

Demand Planning Are Most Likely to Benefit from Big Data


Final Thoughts About Big Data



Agenda

Study Overview

Big Data Initiative



Over One-Quarter See the Ability to Use Data

as Among the Top Elements of Business Pain


Data Usage Is Bigger “Pain” for Retailers, Those with

Higher Revenue and Those Not in a Supply Chain Role


One-Quarter Consider Big Data to be

Among the Top 3 Supply Chain Trends


Big Data Is Seen as Bigger Trend by

Manufacturers, Those with Higher Revenue, Those with a

Big Data Initiative and Those More Familiar with Big Data


Product Traceability and Supply Chain Visibility

Are Most Important Types of Data


Product Traceability and Supply Chain Visibility

Are the Best Used Types of Data


Product Traceability and Supply Chain Visibility Have

Largest Gap in Performance Relative to Importance


Opportunity with Types of Data Lies with

Geo-Location/Mapping, Internet of Things and Mobile Apps


Those with Big Data Initiative Are Better Able to

Use Over Half of the Types of Data Asked About


Among Those with a Big Data Initiative,

Greatest Performance Gaps Are with Product Traceability

and Sentiment Data from Social Media


Among Those with a Big Data Initiative, Opportunity with Types

of Data Lies with Geo-Location/Mapping, Internet of Things,

Mobile Apps and Unstructured Data


One-Quarter of Those with a Big Data Initiative

Have a Database That Equals a Petabyte


12% Have a ERP Live Instance That Is 6+ Terabytes;

10% Have 11+ Unique IT Systems


Those with a Big Data Initiative Are More Likely to Have

Larger ERP Live Instance and More IT Systems