How can Big Data help to improve the Operational Excellence within your organization. Use Cases, Architecture, and project Approach

2. Big Data Webinar Series

3. Big Data Webinar Series
Customer Intimacy & Develop New BusinessCustomer Intimacy & Develop New BusinessMarch 11, 2014
Operational ExcellenceOperational ExcellenceMarch 18, 2014
March 25, 2014
April 1, 2014
April 3, 2014
Big Data in Public ServicesBig Data in Public Services
Big Data in Healthcare & Life SciencesBig Data in Healthcare & Life Sciences
Big Data in Human ResourcesBig Data in Human Resources

4. Big Data Overview
New Data
Structured
Semi
Not structured
Social
Media
Mobile
Sensor
data
Analytics
becomes
1-on-1 &
Real-Time
Enables a huge number of
‘new’ or improved
Big Data Applications
Open
Data
Analytics becomes 1-on-1
& Real-Time
Business
domains
Operational
Excellence
Customer
Intimacy
New Business
Risk
Management
Retail
Banking/securities
Healthcare
Telecom
Media & entertainment
Government
Utilities
Insurance
Manufacturing
Pharma
Transport
Services
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
X
…
Source: Gartner

5. 1-on-1 & Real Time Analytics

6. • Engines & Gas Turbines for Aircraft & Vessels
• 18K components per engine
• Real-time capture of Sensor Data
• Temperature, pressure, vibration, speed,
location,consumption,…
• 13K+ Aircraft Engines in use
• Data is monitored and Analyzed in Engine
Health Monitoring Center
Predictive Analytics  Proactive Maintenance
(Operational Peace of Mind + Financial Predictability)
Prescriptive Analytics  Input for product
development next generation engines
(Fuel consumption, CO2-emissions & Noise)
Operational Excellence

7. Operational Excellence

8. Operational Excellence

9. Operational Excellence
• Capturing refrigerator, heating & lighting data over period 1 year
(Temperature/Elect. Consumption)
• Build KPI’s
• Execute on anomalies
• Capture sensor data from Gas Turbines (500Gb/Sensor/Day)
• Reveal patterns on when blades brake
• Pro-active Maintenance
• Acquiring data from telematics sensors (46K vehicles: speed, direction,
braking,…
• Match with On-line Map Data
• Reconfiguration of drivers pick-ups & drop-offs
TelcoTelco
• Capture log data from cable modems and network devices
(temp./voltage/throughput/…)
• Reveal patterns on failure
• Pro-active Maintenance

10. Operational Excellence

11. Operational Excellence

12. Operational Excellence

13. Data Flow Concepts
AnalyzeAnalyzeAcquireAcquire OrganizeOrganize DecideDecide
OLTP Data
RDBMS ETL DWH BI

14. Data Flow Concepts
AnalyzeAnalyzeAcquireAcquire OrganizeOrganize DecideDecide
RDBMS ETL DWH BI
New Data
OLTP Data

15. Use Case drives the Data Flows
AnalyzeAnalyzeAcquireAcquire OrganizeOrganize DecideDecide
RDBMS ETL DWH BI
New Data
OLTP Data

16. Use Case drives the Data Flows
AnalyzeAnalyzeAcquireAcquire OrganizeOrganize DecideDecide
RDBMS ETL
New Data
OLTP Data

17. Big Data Journey

18. Cronos Big Data Services Offering
Use Case
Discovery
Workshop
Big Data
Analytics
Implementation
Services
Proof of
Concepts

19. The role of the Data Scientist
Business
Strategy
Analyst
Hadoop
System
Administrator
Hadoop
Developer
Data Architect Data Analyst/
Statistician
Identify Business
Pains &
demonstrate
through
Analytical skills
how the
available data
can be exploited
on a Strategic
Level
Hadoop Cluster
installation &
administration.
Data Loading
Build the
relevant
dataset by
cleansing,
filtering,
grouping and
aggregating
the data using
parallel
processing
languages like
MapReduce
Hive, Pig,
Impala,…
ETL tooling,
MDM, Data
Cleaning &
Matching
Integration with
Enterprise
Architecture
Data
Governance &
Security
Through statistical
Analysis,
conceptual and
predictive data
modeling, machine
learning,…
Discover patterns,
trends, insights.
Translate these to
Business
Opportunities

20. Cronos Big Data References
Use Case
Discovery
Workshop
Proof Of
Concept
Implementation
Services
Big Data
Analytics
Call Center    
Healthcare   
Utility   
Editor   
Telco  
ISV 
Media 
Transport   
Manufacturing
& Distribution

Online Gaming  

21. Clever usage of data
to make better decisions
Clever usage of data
to make better decisions
Conclusions

22. Contact: matthias.vallaey@cronos.be`
+32 496 57 66 27