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Learn. Share. Achieve.

More Effective Data

Analytics for Trade

Miami Beach, Florida

May 6, 2014

(2)

Notices

ANY TAX ADVICE IN THIS COMMUNICATION IS NOT INTENDED OR WRITTEN

BY KPMG TO BE USED, AND CANNOT BE USED, BY A CLIENT OR ANY

BY KPMG TO BE USED, AND CANNOT BE USED, BY A CLIENT OR ANY

OTHER PERSON OR ENTITY FOR THE PURPOSE OF (i) AVOIDING

PENALTIES THAT MAY BE IMPOSED ON ANY TAXPAYER OR (ii) PROMOTING,

MARKETING OR RECOMMENDING TO ANOTHER PARTY ANY MATTERS

ADDRESSED HEREIN

ADDRESSED HEREIN.

You (and your employees, representatives, or agents) may disclose to any and all persons,

without limitation, the tax treatment or tax structure, or both, of any transaction described in

the associated materials we provide to you, including, but not limited to, any tax opinions,

memoranda, or other tax analyses contained in those materials.

The information contained herein is of a general nature and based on authorities that are

The information contained herein is of a general nature and based on authorities that are

subject to change. Applicability of the information to specific situations should be determined

through consultation with your tax adviser.

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member

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Data & Analytics –

Driving Value through

Trade and Customs

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Presenters

Amie Ahanchian

Managing Director

Tom Barnes

CEO

g g

KPMG’s Trade and Customs practice

Washington, DC

Integration Point

Charlotte, NC

Scott Weisbecker

Partner

KPMG’s Tax Practice

N

Y k NY

George Zaharatos

Managing Director

KPMG’s Trade and Customs practice

Atl t GA

New York, NY

Atlanta, GA

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member

(5)

Data & Analytics – Driving Value through

Trade and Customs

The possibilities of Big Data

How do we currently use Data and Analytics

(D&A) in trade?

Th f t

f D&A i t d

t

The future of D&A in trade management

Communicating opportunities and risks

through D&A

through D&A

Benchmarking Results

Q&A

Q&A

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member

(6)

The Possibilities

of Big Data

(7)

The Possibilities of Big Data

Five Key Points for Generating Business Value From Data & Analytics

Business has

fundamentally changed

– your competitors (known and unknown) are

harnessing data to drive growth and profitability now.

g

g

p

y

A data-driven organization embeds the ability to harness data in

every aspect of its business

,

including how decisions are made, how processes are operated, and how people are enabled.

Data is

raw material

that becomes valuable through the use of analytics. Big Data requires

advanced analytics and technology to capture the value.

Data and analytics is not simply about technology. A

business problem orientation

helps to

zero in on the right data and apply the right analytics to generate tangible value.

g

pp y

g

y

g

g

New opportunities, new risks – while data is a valuable asset, new uses of it pose new risks –

organizations need to carefully balance them.

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(8)

How Do We Currently

Use D&A in Trade?

Amie Ahanchian

Amie Ahanchian

Managing Director

KPMG

Tom Barnes

CEO

CEO

Integration Point

(9)

How Do We Currently Use D&A in Trade?

Effective analysis of data can contribute to a robust program for adding value

Areas supported through data analysis

Free Trade Agreements

First Sale

Cost Optimization

Cost Optimization

Minimizing compliance

risk

Compliance

Compliance

Managing resources

Identifying internal

Process Efficiency

Process Efficiency

Reporting identification

of opportunity and risk

t

t

Metrics Reporting

Metrics Reporting

Foreign Trade Zones

Duty Drawback

Value Unbundling

Entry Consolidation

Penalty Avoidance

Bad Press

Third party service

providers costs

y g

personnel savings

Managing Faster

Customs Clearance

Business growth

to management

Managing FTE

headcount to match

business needs

Mitigating risk

Entry Consolidation

Self Filing

Broker Consolidation

Periodic Monthly

St t

t

Avoidance of criminal

charges

Maximizing FTAs

Refunds on downward

M&A support

Interdepartmental

communication

Value Reconciliation

Mitigating risk

Metrics

Recordkeeping

Global consistency

Statements

Defective Merchandise

Special use provisions

TP adjustments

Accurate cash-flow

Reduction of costs

relating to audits and

information requests

Business certainty

Faster identification of

opportunity and risk

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(10)

How Do We Currently Use D&A in Trade?

Where do we get the data?

Trade data may be available from government authorities,

internal systems, and service providers.

ITRAC/ Gov

Data (Select

Countries)

CIT Cases

(U.S.)

Government

AES

(U.S.)

FIRM

(CA)

ERP Data

(Global)

Government

Statistics

(Global)

Public

databases

(Global)

(

)

Customs

Broker Data

(Global)

GTM Data

(Global)

AMS-based

3

rd

party data

(U.S.)

(Global)

WMS Data

(Global)

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

Correlating the data among sources and with

other external data can drive value!

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How Do We Currently Use D&A in Trade?

Where do we get the data?

Disparate Systems?

H

M

?

How Many?

Different by:

Division?

Division?

Geography?

Broker?

Oth

LSP ?

Other LSPs?

Trade Program?

What’s correct? What isn’t?

You can’t analyze what you can’t see

How do you get Started?

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(12)

How Do We Currently Use D&A in Trade?

Common Misconceptions

I have to fully control things first

I

d t

h ll i f

ti

t

I need to push all information out

I need to get all of the data perfect first

I need to flip the switch everywhere at once

I need to flip the switch everywhere at once

Unstructured data does not help me

Unstructured data does not help me

It will take too many internal resources

I’m going to wait until a standard is created

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member

(13)

The Future of D&A in

Trade Management

(14)

The Future of Data Analytics in Trade Management

If you could access all of your data

What could you do?

E

li

Ensure compliance

Measure KPIs

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member

(15)

The Future of Data Analytics in Trade Management

Post Entry Validation - Optimized

Post Entry

y

KPIs

Validation

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(16)

The Future of Data Analytics in Trade Management

If you could access all of your data

What could you do?

E

li

Ensure compliance

Measure KPIs

Improve efficiency

Improve efficiency

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member

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The Future of Data Analytics in Trade Management

Improve Efficiency

US Exports

US Classification

UK Broker

CN Broker

EU Korea FTA

BOMS

NAFTA

CN Classification

MX Maquila

BR Broker

ZA Imports

AU Classification

Inefficient

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member

firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(18)

The Future of Data Analytics in Trade Management

Assimilate Data

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(19)

The Future of Data Analytics in Trade Management

Analyze Data

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(20)

The Future of Data Analytics in Trade Management

Leverage Data

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(21)

The Future of Data Analytics in Trade Management

If you could access all of your data

What could you do?

E

li

Ensure compliance

Measure KPIs

Improve efficiency

Improve efficiency

Find savings opportunities

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member

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The Future of Data Analytics in Trade Management

Potential Savings Opportunities

Potential Duty Savings

Preference Program Eligibility (FTAs)

D t D f

l P

Duty Deferral Programs

Duty & Supply Chain Benefits

ENTRY SUMMARY

BY COUNTRY

BY HS

TARIFF SCHEDULES

TRADE AGREEMENTS

IMPORT RESTRICTIONS

BY HS

BY MOT

BY BROKER

ETC…

IMPORT RESTRICTIONS

EXPORT RESTRICTIONS

VAT RATES

PREFERENTIAL RATES

GLOBAL TRADE

GLOBAL TRADE

CONTENT

CONTENT

167 COUNTRIES

167 COUNTRIES

GLOBAL

GLOBAL

ENTRY

ENTRY

DATA

DATA

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(23)

The Future of Data Analytics in Trade Management

Where are we headed using data analytics in trade?

Most organizations are now in process of developing data-driven

organizations by:

organizations by:

Collecting data globally

Correlating and analyzing data elements from various sources

I

l

ti

l b l t d

t

l ti

Implementing global trade management solutions

The future of D&A in trade is zeroing in on the right data and

applying the right analytics to generate tangible value

Auditing of trade activity will be enhanced through advanced risk

profiling

Operational compliance dashboards to monitor and report risks and

opportunities

Collaboration among business support functions to collectively mitigate

risk and increase opportunity (i.e., Operational Transfer Pricing)

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(24)

The Future of Data Analytics in Trade Management

Communicating data

How data is communicated greatly influences

management decisions

management decisions

If your data findings are not clearly communicated, your

analysis may not have the intended effect on your

analysis may not have the intended effect on your

audience.

Graphics expedite and increase our level of

Graphics expedite and increase our level of

communication and are an effective way to influence an

audience.

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(25)

The Future of Data Analytics in Trade Management

Communicating data

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(26)
(27)

Benchmarking

KPMG’s Global D&A Benchmarking

KPMG commission FT Remark to survey 144 CFOs and

CIOs from major corporations around the world

The responses from the August 2013 survey were

aggregated in a report

©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG network of independent member firms affiliated with KPMG International Cooperative (“KPMG International”), a Swiss entity. All rights reserved.

(28)

Benchmarking

Global Survey: How important is the use of data and analytics in your company’s growth

strategy?

© 2013 KPMG LLP, a Delaware limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with

(29)

Benchmarking

T&C Summit Survey: How would you best describe the role of data analytics in the

success of your role in the future?

Over 70% of respondents said:

“Data Analytics will be an integral part of the success in my trade role”

Data Analytics will be an integral part of the success in my trade role

© 2013 KPMG LLP, a Delaware limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with

(30)

Benchmarking

Global Survey: Have you taken

any of the following steps to

integrate data and analytics:

© 2013 KPMG LLP, a Delaware limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with

(31)

Benchmarking

Global Survey: What has your business

use of data and analytics focused on?

© 2013 KPMG LLP, a Delaware limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with

(32)

Benchmarking

T&C Summit Survey: Describe the top 3 things you do with trade-related data in your

role?

Auditing activities and targeting compliance issues

Auditing activities and targeting compliance issues

Targeting or managing cost savings

Generate Statistics/ Trade Metrics/ KPIs to monitor performance and report downstream

© 2013 KPMG LLP, a Delaware limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with

(33)

Benchmarking

T&C Summit Survey: Does your company have access to reliable global data (e.g., global

customs duties paid, global VAT paid, global customs savings)?

40% of respondents said No

T&C Summit Survey: What strategic planning area do you believe would derive the

greatest benefit via data analytics in the future?

70% of respondents said customs valuation,

including related party pricing and transfer pricing

© 2013 KPMG LLP, a Delaware limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with

(34)

Benchmarking

Global Survey: What are the biggest challenges your company has faced regarding data

analytics specifically?

© 2013 KPMG LLP, a Delaware limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with

(35)

Benchmarking Insights

The benefits of moving to a fully embedded D&A Strategy

Use data to manage exposure to risk in marketing, supply chain and finance

Allow flexibility and provides ability to respond to sudden changes in direction

Make business decisions based on deeper insight and keener analysis

Identify opportunities and properly exploit them through predictive analysis

y pp

p p y

p

g p

y

A company’s D&A strategy that does not consider trade is likely to fall short of strategic

objectives

© 2013 KPMG LLP, a Delaware limited liability partnership and a member firm of the KPMG network of independent member firms affiliated with

(36)
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©2014 KPMG LLP, a Delaware limited liability partnership and the U.S. member firm of the KPMG

network of independent member firms affiliated with KPMG International Cooperative (“KPMG

network of independent member firms affiliated with KPMG International Cooperative ( KPMG

International”), a Swiss entity. All rights reserved.

The KPMG name, logo and "cutting through complexity" are registered trademarks or trademarks of

KPMG International Cooperative ("KPMG International").

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