How BigData Change Business

Arief DarmawanCo-Founder and CTO of EACIIT

arief@eaciit.com@ariefdarmawan

http://www.linkedin.com/in/ariefdarmawan

http://www.ariefdarmawan.com

Founded on 2013 in SingaporeFocus as “Big Data Enabler for Enterprise”Operating in 4 countriesDeveloper centre in Surabaya (mid 2014)Has roadmap to develop very own EACIIT Big Data SolutionsEnabling big data for various companies in 11 countries

How Big Data Changes Business ?

BigData is like first night honeymoon

Everyone is talking about itEveryone wants it

Everyone thinks everyone else already doing itLess people really know how to do it

What is this ?

any collection of dataset that were once difficult to be processed

because either too large or too complex

Rising volumes & speed of data (structured,

semis-structured & unstructured)

Big Data Drivers

Falling cost ofData Management Tools

and Infras

Increasing numberof data expertise

NoSQL

Big Data Key Enabler

Data Streaming

Modern Analysis Machine Learning

Data as asset to businessCreating new product or serviceBetter market visibility and customer intelligence Improve operational efficiencyNear real time analysis for better decision making

How Big Data Changes Business

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

Big Data Use Case

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

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

Prescriptive Analytic for Cost Reduction

Root Cause Analysis: Find most ineffective business segmentEACIIT Big Data Solution saves US$1.5million of potential loss

IoT Analytic for Operation Efficiency

Near Real Time Data MonitoringEACIIT Big Data Solutions allowing user to automatically

received immediate downtime of Power Turbine GeneratorIncrease 15% of power generated in a year

Business Performance Monitoring for Operation Efficiency

Business Performance MonitoringEACIIT Big Data Solutions reduce Oil Rig days to build up to 8%

or equiv to US$3.2million/rig/yr

Thank You