a linux server, or docker container ready to help you automate data integration and visualization for supply chain, logistics and transportation freight data flows. Packed with market intelligence data, metadata, a geospatial data analysis portal with many templates, and supply chain web analytics. Let us help you wrangle your data and provide insights through visualization.

1. Introducing Titan geo-server
data container and services
Geoffrey Clark | 2016-03-29 | US-WA-SeaCle
copyright Lucidata 2016

2. How to connect to the world of Supply
Chain, LogisKcs and TransportaKon?
Oracle
TransportaKon
Manager
Magic Quadrant #1
TMS system.
Purchased from G-
Log, and evolved
since then.
Why not let the
machines do it?

3. Use Lucidata Titan server
Market
TMS
CRM
Lucidata Titan
Standard BI
Formal, Trusted,
Shared, Public
Data Explora6on
Ad-hoc, Agile
Experimental
indivi
duals
Power
Users
Clean, Load
& Join Data
Form New
BI QuesKons
Analyze
Data
Find New Data
Analytics User Segments
FIN
Your
Data
Knowledge,
DefiniKons,
Hierarchies,
RelaKonships
Ad-Hoc Data
Playground
Standard,
Industry
Data Industry
Reference
ExecuKves,
Managers
Analysts,
Knowledge
Workers
Technical Challenge, Data IntegraKon
Cultural Challenge, User IntegraKon
How Unique is your data?*
* is that a source of advantage, or confusion?

4. Global All-Modes rouKng
Mk1 has
Road
Walk
Air
Sea
River
Mk2 has
Space &
Cyber

5. What does “ALL” modes mean?

6. Why do we care?
McLean’s shipping container revoluKon cut the cost of
seabourne trade by a factor of 50 versus loose-cargo
stevedoring. -- Fred Smith, CEO of Fedex Corp. via WSJ.
We aim to do the
same for supply
chain, logisKcs and
transportaKon data.
How?
StandardizaKon.
How much Kme do you
spend cleaning up data?

7. Don’t do manual data integraKon!

8. Where does the data come from?
Our Data Factory

9. Lots of data available for purchase and
integraKon, pending upon need.

10. How does MulK-Modal RouKng work?
mulK-modal network
topology is a combinaKon of
movements linked together
in a spaKal network topology
which can be routed as a
single network.
It requires your network
nodes and flows to setup and
work correctly and quickly for
your supply chain.

11. How do I get lanes routed?
Use this call this service to
input any Origin DesKnaKon
pair and select one or more
modes to get a path across the
network topology.
SQL access via JDBC, ODBC.
Bolt-on to MS SQL Server via
FDW, or we can custom build
an API.
Connect to Supply Chain Guru
or SCID and customize your
costs!

12. What databases do we use?
Greenplum 4.3
MPP and columnar
PostgreSQL 9.5
Row-wise service
Geo-SpaKal analyKcs
Omni-mode global
rouKng
Neo4j + spaKal
RDF Triple store
Data, Metadata, Solware.
Exact manifest and pedigree to be determined at order Kme.
Our reference architecture
supports structuring data in
3 different ways.
Available now

13. What data is available? (parKal list)

14. Where does the data come from?
Mostly, Uncle Sam, but global data sets from many Intra-Governmental OrganizaKons
Source, DHL, Global Connectedness Survey
The Presiden6al Open
Data Ini6a6ve
Let’s democraKze Uncle
Sam’s data!

15. What is in the box?
The Lucidata Titan is a standardized container is a server running in your environment to provide a reliable reference data services, and
supply chain geo-analyKcs. Buy it once, or buy services to keep it up to date.
Use it to create custom sets of spaKal data infrastructure that matches your supply chain. This gives you the ability to get granular, routed
visualizaKons, but with much smaller file size.
Globally standards data – ISO, UN, ANSI, DOD, NASA, etc ...
Proprietary, licensed data standards are available, but a valid subscripKon is required.
The data is open data – copy it, distribute it, integrate it, encrypt it ... all is OK. Please reference the source – Lucidata Informa=cs.
It is a CentOS 6.7 virtual machine, running PostgreSQL 9.5.
You get sudo rights in linux, and create table rights in the “public schema”, but we keep the “postgres” user account.
Available to integrate to MS SQL via Foreign Data Wrapper
ODBC/JDBC, XML, JSON, GeoJSON, SQLite, SpaKalLite.
• Data, Metadata, Solware.
• Exact manifest and pedigree to be determined at order Kme.
• Build your data science team on a strong foundaKon of data
We will custom build analyKcs on open source tools for you, such as Rstudio and Shiny, or licensed analyKcs tools like Tableau or Qlik, or
heavyweights like MicroStrategy, Jaspersol, OBIEE.
Data, Metadata, Solware.

16. Air Express, Air Cargo flows
Auto-route your e-Commerce
shipment file! Select your service
levels to see expected rouKng,
service level and cost.

17. Use the same techniques Uncle Sam

18. Metadata library

19. Oak Ridge NaKonal Labs, CTA

20. Custom Intelligence
CompeKKve
Intelligence for LTL
trucking on Network
Terminal Capacity, as
defined by “door
pressure” average
loaded or unloaded
pounds per door per
shil. This was done
with “mechanical turk”
labor as business
process outsourcing.

21. Military Modeling with partners

22. How to address this imbalance?
hCp://www.delphianalyKcs.net/

23. Who is Lucidata?
• Geoffrey Clark, Principal and CEO
– Data Modeler: logical and raKonal DW
– SoluKon Architect: analyKcs
– Strategy : risks, what-if, sims, wargames
• Associates at Lucidata
– Senior Data Modeler, requirements expert
– Advanced AnalyKcs experts
– Senior GIS analysts and FOSS4G evangelists
copyright Lucidata 2016

24. What is our Vision?
• We help customers wrangle their data
– open source solware, automaKon and “big data techniques”
have dramaKcally lowered the costs for integraKng data and
democraKzing analyKcs.
– if you have not integrated your data, your compeKtors are
working on it, and they want to eat your lunch.
• We provide consulKng services
– Technical services to manage data and metadata.
– Business management to change culture.
– Training services to build you own FTE data science team.
• We provide Data-as-a-Service analyKcs products
– Keep your investment in data schemas up to date and ready for
strategic quesKons, especially the ad-hoc and unexpected.
copyright Lucidata 2016

25. Who are our partners?
Partners
• MicroStrategy
• AcKan
• Datamorphosis
• SimaFore
• The Dupuy InsKtute
• Moss Adams
• Air Transport Research
Society
• Tamr
• SpaceCurve
Customers
• GM
• Chrysler
• Con-way
• Takata
• NEC
• LLamasol
• INFORMS
• Classmates
• Hilton Worldwide

26. We’ve been working this same data
standards problem since 2001

27. Independent Consultants
• We are technology agnosKc, we do not profit by
any technology preference or recommendaKon.
• We recommend evaluaKng open source
technology whenever possible.
• We do form partnerships with companies with
superior products that we frequently
recommend.
• We prefer to have direct relaKonships with our
customers, but this is not always possible.
• We are frequently sold as “senior talent”, re-
branded by consultancies to impress customers.
copyright Lucidata 2016

28. Why MicroStrategy?
MicroStrategy is aCracKve for several reasons:
1. InnovaKon has widened the available data management
tools significantly, thus independence and conKnued R&D
and focus on interoperability with SQL and NoSQL
soluKons is a valuable strategic advantage.
2. NoSQL solutons are increasingly “Not Yet SQL”
(so says Michael Stonebraker), which means the ROLAP
model will remain in place.
3. MicroStrategy writes the best machine-generated SQL.
4. MicroStrategy is Enterprise Class (vs Tableau)
– Reinforces the need for Schema, how does the data relate?
– Supports FederaKon, important for Logical Data Warehouses
– Now includes visualizaKon capabiliKes *almost* on par
copyright Lucidata 2016

29. MicroStrategy view of data, 2016

30. MicroStrategy Network Viz

31. Simulate
Op3mize
Forecast
Derive (data mining)
Summarize & Describe (staKsKcs)
Visualize
Join & Filter (data warehousing)
Measure & Store (source systems)
En33es & Rela3onships (data modeling)
BI EA STATS OR
Analy3cs
Quality
AMATEUR PROFESSIONAL
... rest upon this
foundaKon
What is AnalyKcs?
copyright Lucidata 2016
31
The universe of Data
Where did you get your informa6on ?
Data to Info refinement
Generated
insights $$$

32. Reference Data
Operational
Execution Data
Strategic
Analytics
Planning Data
Forecasts , Orders and Trip Plans
Strategic Planning,
What-if Modeling
Competitive Intelligence
Game Theory, Simulation
Risk Management
Service Provider Management
Supply Chain Visibility
Exception Management
Performance Management
Continuous Improvement
Predictive Analytics
Production Schedules
Optimization Applications
Service Provider Planning
Process Improvement
Predictive Analytics
Integration, Validation,
ad-hoc Analysis
Supply Chain AnalyKcs
copyright Lucidata 2016

33. We are Economists