Building a Big Data Maturity Model

1. Building a Big Data Maturity Model
Samudra Kanankearachchi
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2. Big Data Conference India
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3. Hype of Big Data is around Quantity
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4. Semantic Web (POC)
Travel
Planner
MSc Project
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5. Why Big Data is Not Popular yet in Sri
Lanka?
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6. Does Sri Lanka have a real big data
business case ?
How big are we in global?
Is Sri Lanka is too Small ?
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7. Only focus on Volume , Velocity
Variety
Is it Enough?
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8. Let’s take real life example
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9. Impact of unplanned growth
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10. Shared (Water , Food , Land , Energy …)
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Quality of Life
Lack of
Infrastructure for
growth
Population Growth
Infrastructure not mature for
sustainable growth

11. Moral of the Story
Qualitative Quantity
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12. Why our tourism is a right match ?
Quality
Quantity
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13. Many government initiative
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14. State of Software/IT Eco System
Mostly Surrounded
with silos
Lack of
personalization.
Lack of Timely information.
Unable to convert
information into Action
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15. We need a maturity model
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16. Maturity Model
Level 5
Level 4
Level 3
Level 2
Level 1
Optimizing
If cannot scale and optimize
Intelligent/insight
If not intelligent
Social Interaction
If they can’t Socialize
Semantic Connectivity
Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)
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If they can’t express
Big Data in Silos

17. Maturity Level 1 (Current State)
5. Optimizing
4. Intelligent insight
3. Social Interaction
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)
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18. Basic system
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19. Business Silos
Flying /Shipping
providers
Bus Providers
Agencies
Hotels
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Entertainment Providers
Travelers

20. Enterprise Silos
Cinnamon group
Amaya Group
Chaya Group
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21. Impact of Silos
As a traveler I wanted to find travel information
to plan a trip to Sri Lanka
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22. Approach 1
Traveler
Travel Agency
Impact : [Lot of manual work for integration]
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23. Approach 2
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24. It is a web of documents
Impact : [Lot more manual work to find details]
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25. Maturity Level 2
5.
Optimizing
4. Intelligent
insight
3. Social
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)
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26. Web of Things
Night Clubs
Hotels
Travel Agency
Travelers
Sites
Taxi
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27. Web of People , Places , Things
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28. Developing semantic graph
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29. Basic Ontology Sample
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30. Querying the Ontology
• Places near by “Hambanthota” ?
• Places that are famous for wild life ?
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31. Facebook Graph Search
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32. Places in Kandy
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33. Openness- Standards
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34. Linking Ontologies Together
Linked Ontology/ Linked Data
XYZ Hotel
Ontology
ABC Travel
Agency
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PQR Taxi Service
Ontology

35. Now I can query Complete travel plan
•
•
•
•
How to travel ?
Where to Stay ?
Food to eat ?
Options to Enjoy ?
Linked Ontology/ Linked Data
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36. Maturity Level 3
5.
Optimizing
4. Intelligent
insight
3. Social
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)
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37. Adding Social Layer
Identity
Collaboration
Social Layer (Sharing / Ranking /Tagging…)
Linked Ontology/ Linked Data
XYZ Hotel
Ontology
ABC Travel
Agency
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PQR Taxi
Service
Ontology

38. Example
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39. Maturity Level 4
Optimizing
4. Intelligent
insight
3. Social
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)
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40. Insights
5.
Optimizing
4. Intelligent
insight
3
2
1. Basic Enterprise
(Volume/Variety/Velocity )
What can you offer with out level 2, Level 3 ?
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41. Insight
• Insight what you users wants
• Your Ontologies has insight what the system
can offer
• Integrating Internet of Things
• Analytics
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42. Maturity Level 5
Optimizing
4. Intelligent
insight
3. Social
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)
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43. Apache Jena (Middleware)
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44. Scaling and Tooling
• https://jena.apache.org/
• Microsoft.Net Port
– http://www.linkeddatatools.com/downloads/jena
-net
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45. Facebook Open Graph (Alternative)
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46. Future (Apps , IOT, API)
Users
Devices
Apps
Management. Access. Protection.
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Data

47. Developing a Market Place
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48. Your Contact
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