eye for transport june big data_june12

TM

The Big Data Opportunity

Supply Chain Insights LLC Copyright © 2013, p. 2

Supply Chains Don’t Play by the Rules

2

But, what if they

could?


Could the Answer Lie in….

Clouds?

Streams?

Lakes?


Big Data Supply Chains are Evolving

4

Challenges:

• Transactional• Time phased data

Structured Data

• Social• Channel• Customer Service• Warranty

• Temperature• RFID• QR codes• GPS

• Mapping and GPS• Video• Voice• Digital Images

Unstructured Data

SensorData

NewDataTypes

Volume

Velocity

Variability


Connecting the Extended Supply Chain

5

Trading Partner 1 Trading Partner 2 Trading Partner 3

Transactional Applications



Store


Evolving Supply Chain Architectures

6

Collaborative Layer

Collaborative Layer

Collaborative Layer

Enterprise Data Warehouse


Supplier Signal Repository

Demand Signal Repository

Predictive AnalyticsKey:

Transactional Adapters and Intelligent Rule Sets

Trading Partner 1 Trading Partner 2 Trading Partner 3





Store


Rethinking Analytics

DescriptiveConnect with reality, a single source of

the truth

PredictiveUnderstand the most likely future

scenario, and the business implications

PrescriptiveRecommendation of the best

alternative

CognitiveHighly automated optimization

solutions that get smarter over time

What happened?

What will Happen?

What should we do about it?

Learning Systems


Thinking Harder about the Problem

EngineInputs Outputs

• Deterministic Optimization• Stochastic Optimization• Simulation• Cognitive Learning Engines

Depth of Analysis

Scope• Single function within the enterprise• Multiple functions within the enterprise• Connection of trading partners on single functions• Connection of trading partners on multiple functions (make,

source, and deliver)

• Single signals (single numbers)• Time-phased outputs• Multiple signals with time-phased outputs• Patterns and probabilities

• Single signals (single numbers)• Time-phased inputs• Multiple signals with time-phased inputs• Patterns and probabilities

The Data Model of the Engine


Agenda

Study Overview

Data & Technology

Big Data

Master Data Management


Study Overview


Respondents Work at Companies with an Average of 20K Employees and $4B Revenue


13% of Respondents Lead the Big Data Initiative;7% Lead the Master Data Management Program


Agenda

Study Overview

Data & Technology

Big Data



Business Pain


Data Sources


The Diffences


15% Already Have a Database That Equals a Petabyte


18% Have a ERP Live Instance That Is 6+ Terabytes;16% Have 11+ Unique IT Systems


Agenda

Study Overview

Data & Technology

Big Data



Three-Quarters See Big Data as anOPPORTUNITY


Over One-Quarter Have a Big Data Initiative and Over One-Third Plan to Have One


Agenda

Study Overview

Data & Technology

Big Data



One-third Already Have a MDM Program, with Nearly as Many Planning to Have One


Over Half Believe That Big Data MakesMaster Data Management EASIER


Big data offers new opportunities to solve problems, but we must first challenge our

traditional paradigms.

Summary


Could the Answer Lie in….

Clouds?

Streams?

Lakes?


You Help Us. We Help You.


Questions?


What’s Happening at Supply Chain Insights

www.supplychaininsights.com


About Lora Cecere

• Founder of Supply Chain Insights

• Invited to be a “LinkedIn Influencer”

• Invited to write a guest blog for Forbes

• Author of 2 books: Bricks Matter (2012) and Metrics That Matter (to publish Fall of 2014)

• Partner at Altimeter Group (leader in open research)

• 7 years of Management Experience leading Analyst Teams at Gartner and AMR Research

• 8 years Experience in Marketing and Selling Supply Chain Software at Descartes Systems Group and Manugistics (now JDA)

• 15 Years Leading teams in Manufacturing and Distribution operations for Clorox, Kraft/General Foods, Nestle/Dreyers Grand Ice Cream and Procter & Gamble.

Contact Information: • Email: [email protected]• Blog: www.supplychainshaman.com (6000 pageviews/month)• Forbes: http://www.forbes.com/search/?q=lora+cecere• Twitter: lcecere (4800 followers)• LinkedIn: linkedin.com/pub/lora-cecere/0/196/573 (7000 in the

network)

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