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3422
Big data analytics’ growing pains
Six years ago, the terms “big data” and “analytics” were ubiquitous—
a key part of every conference, webinar, and trade publication. One
book even proclaimed that it would “transform ho w we live,
work, and think.” 1 But that has yet to happen. While some
companies have made great strides toward harnessing the
power of big data, many others are still struggling.
A new study by DC VELOCITY’s sister publication, CSCMP’s
Supply Chain Quarterly, offers some insights into why
that might be and what the future may hold. Here’s
a look at some of the findings.
Implementations are up
Satisfaction is down
The “Second Annual Big Data Analytics Study”
found that the number of companies conducting
big data analytics projects increased significantly
in 2018 over the previous year.
Although implementations were up, respondents were
less satisfied with their big data analytics efforts in 2018
than in 2017.
“Have you implemented big data
analytics or are you conducting a
proof-of-concept test?”
In 2017,
77%
said “YES”
In 2018,
90%
said “YES”
Implementations
up 13%
4. 1 4. 2 4.0
4. 4
4. 2
3. 8
4. 4
4. 1
3. 9 3. 9
3.7
4. 1
3. 8
3. 3
3. 9
3. 6
Profitability Inventory
Management
Visibility
to Total
Cost-to-Serve
Customer
Service
Demand
Planning
Risk and
Resiliency
Management
Supply Chain
Visibility
End-to-End
Supply Chain
Collaboration
2017 2018
Survey respondents were asked to rank on a scale of 1 to 7 how much of
a beneficial impact they had already received from big data analytics in
the following areas.
Are unsophisticated tools to blame?
That lack of satisfaction may reflect the fact that many
companies are still using relatively unsophisticated
analytics tools.
Survey respondents were asked to rank on a scale of 1 to 7 the
extent to which they are using the following analytics to support
supply chain decision-making, where 1 equals no use, 7 equals
heavy use, and 3 equals occasional use.
Definitions of data analytics types from least to most sophisticated:
• Descriptive: Analytics that describe what is happening/has happened.
• Diagnostic: Analytics that describe why something happened.
• Predictive: Analytics that predict what will happen.
• Prescriptive: Analytics that tell users what they should be doing.
• Cognitive: Analytics that use machine learning to tell users what
should or could be done.
The study found the following correlations between the types of
analytics and the benefits.
The bottom line
Although the survey respondents seem underwhelmed by the results of their big data
projects to date, that shouldn’t be seen as a sign of failure. Technology experts say it’s
normal for companies to experience gro wing pains with the implementation of any new
technology. Fixing the problems will take time and work. But as they begin to address
issues like the limitations of their existing analytics tools, there’s a good chance they can
get their projects back on track.
SOURCE: “SECOND ANNUAL BIG DATA ANALYTICS STUDY”
BY CSCMP’S SUPPLY CHAIN QUARTERLY IN CONJUNCTION
WITH ARIZONA STATE UNIVERSITY, COLORADO STATE
UNIVERSITY, COMPETITIVE INSIGHTS LLC, AND THE
LHARRINGTONGROUP. THE STUDY WAS BASED ON THE
RESPONSES OF 125 SUPPLY CHAIN PROFESSIONALS FROM
NORTH AND SOUTH AMERICA.
1. Viktor Mayer-Schonberger and Kenneth Cukier,
Big Data: A revolution that will transform how we live,
work, and think, Houghton Mifflin Harcourt, 2013.
2017 2018
4.74
4. 20
3.63
4.61
4.02
3. 16
3.60 3. 56
Descriptive
Analytics
Diagnostic
Analytics
Predictive
Analytics
Prescriptive
Analytics
Cognitive
Analytics
2.81
2. 27
Analytics Type
Customer
Service
Demand
Planning
Risk
Management
Supply Chain
Visibility
End-to-End
Collaboration Productivity
Analytics
yes no no no no no
no no no yes no Diagnostic
Analytics
slightly
positive
no yes no slightly
positive
noPredictive
Analytics
yes
no no no no no Prescriptive
Analytics
slightly
negative
slightly
positive
yes slightly
positive
yesCognitive
Analytics
no slightly
positive
DC
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44
news
13 \ newsworthy \
Tariffs trigger April container boom at ports
of Los Angeles, South Carolina
E2open acquires Amber Road for
$425 million
J.B. Hunt to launch trailer pool to bolster its
freight-matching platform
Accolades: awards and recognition
Shippers won’t blow their freight budgets in
2019, Coyote predicts
Supply chain tasks weigh heavy in health
care, Cardinal Health survey shows
Kion to continue investing in automation,
innovation
Warehouse demand in urban areas remains
sky-high, report says
Alliances: who’s sealed a deal?
Zipline expands medical drone delivery
program to Ghana
Newsmakers: people on the fast track
Verizon: Hackers are targeting C-level execs
with social engineering attacks
Postal woes continue as USPS racks up
$2.1 billion loss in Q2
Short takes
in every issue
1 \ inbound \
Boxes and briefs: Industry news at a glance
39 \ inPerson \
An industry insider looks at the supply chain
46 \ rollouts \
Spotlight on mobile tech
55 \ adindex \
How to reach our advertisers
voices
11 \ bigpicture \
Ch-ch-ch-changes \
DAVID MALONEY
56 \ outbound \
Free ride \
MITCH MAC DONALD
EDITORIAL ADVISORY BOARD
n Jim Bowes
Peach State Integrated
Technologies
n Earl Boyanton
Independent Consultant
n George Clopton
Polo/Ralph Lauren
n John White III
Fortna
n John A. Gentle
John A. Gentle & Associates, LLC
n Brian Gibson, Ph.D.
Auburn University
n Steve Inacker
Cardinal Health
n Richard Jackson
Mast Logistics
n C. John Langley Jr., Ph.D.
Penn State University
n Clifford Lynch
C.F. Lynch & Associates
n Karl Manrodt, Ph.D.
Georgia College & State University
n Scott Mc Williams
Geodis
n Christopher D. Norek, Ph.D.
Chain Connectors
n Richard H. Thompson
JLL
n Kate Vitasek
University of Tennessee
DC VELOCITY is committed to accuracy
We are committed to accuracy and clarity in the delivery of important logistics and supply chain news and
information. If you find anything in DC VELOCITY you feel is inaccurate or warrants further explanation, please
contact Editorial Director David Maloney at dmaloney@dcvelocity.com.
inside
Hints: Tom Petty; Earth, Wind & Fire; Rihanna; Jefferson Starship; David Bowie; Edgar Winter Group
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