presentation slide by Mr.Arief Darmawan of EACIIT

1. How BigData
Change Business

2. Arief Darmawan
Co-Founder and CTO of EACIIT
arief@eaciit.com
@ariefdarmawan
http://www.linkedin.com/in/ariefdarmawan
http://www.ariefdarmawan.com

3. Founded on 2013 in Singapore
Focus as “Big Data Enabler for Enterprise”
Operating in 4 countries
Developer centre in Surabaya (mid 2014)
Has roadmap to develop very own EACIIT Big Data
Solutions
Enabling big data for various companies in 11 countries

4. How Big Data
Changes Business ?

5. BigData is like first night honeymoon
Everyone is talking about it
Everyone wants it
Everyone thinks everyone else already doing it
Less people really know how to do it

6. What is this ?
any collection of dataset that were
once difficult to be processed
because either too large or too complex

7. Rising volumes & speed
of data
(structured,
semis-structured &
unstructured)
Big Data Drivers
Falling cost of
Data Management Tools
and Infras
Increasing number
of data expertise

9. NoSQL
Big Data Key Enabler
Data Streaming
Modern Analysis Machine Learning

10. Data as asset to business
Creating new product or service
Better market visibility and customer intelligence
Improve operational efficiency
Near real time analysis for better decision making
How Big Data Changes Business

11. What happened ?
Performance management
What is currently happen ?
Complex even processing & Near real time analysis,
NLP, Multi variant stats analytic, Text mining
What will happen ?
Time series analysis, Sentiment Analysis, Semantic
Analysis, Predictive & Prescriptive Analysis
What would happen if ….. ?
Simulation, Monte Carlo Analysis
Analytic Revolution with BigData

12. Big Data Use Case

13. Analysing movement of visitor before F1 Singapore based on their
nationality.
British and Malaysian turned to stick around the circuit. Australian
and Japanese were in Orchad and RWS. Chinese(+HK) and
Indonesians were mostly shopping and gaming away in RWS
Big Data Location Analysis

14. Prescriptive Analytic for Better Sales & Pricing
Forecasting sales based on customer behaviour and blending the information with
stock position on another branch and their sales to generate recommendation:
re-stock from other branch, re-stock from production and/or give discount

15. Prescriptive Analytic for Cost Reduction
Root Cause Analysis: Find most ineffective business segment
EACIIT Big Data Solution saves US$1.5million of potential loss

16. IoT Analytic for Operation Efficiency
Near Real Time Data Monitoring
EACIIT Big Data Solutions allowing user to automatically
received immediate downtime of Power Turbine Generator
Increase 15% of power generated in a year

17. Business Performance Monitoring for Operation Efficiency
Business Performance Monitoring
EACIIT Big Data Solutions reduce Oil Rig days to build up to 8%
or equiv to US$3.2million/rig/yr

18. Thank You