Gai 2013 q3_seminar_20130826_03

Copyright © 2013 G A InfoMart Limited. All rights Reserved
Big Data

Agenda
Topic Time Period By
Introduction 2:15pm to 2:30pm 15 mins Gary
How to leverage Social Media to create noise 2:30pm to 3:00pm 30 mins Jeffrey
Analyze Social Media 3:00pm to 3:20pm 20 mins Simon
Break 3:20pm to 3:40pm 20 mins
Defrost key drivers, forecast, and monitor the
performance
3:40pm to 4:40pm 60 mins Simon
What service we can provide 4:40pm to 5:00pm 20 mins William
Q&A 5:00pm to 5:30pm 30 mins

What Happen Today
• Every Single Minute
• Every Day
– 2,500,000,000 GB Data Generated
– 39,062,500 x 64GB iPad To Store
– 367km ~ 912 IFC tall
684,478 Posts
100,000 Threads
347 Blogs Posts
100 Hours Video Uploaded
694,445 Google Search204,166,000 Email Sent

Data
DATA
INFORMATION
OPPORTUNITY

Social Media
Blogs
News
Facebook
Twister
Data Type
ExternalInternal
Unknown
Known
ROI,
Performance,
Year on Year
comparison,
Budget vs Actual，
etc
Hidden
Relationship

Social Media
Blogs
News
Facebook
Twister
Data Type
ExternalInternal
Unknown
Known
ROI,
Performance,
Year on Year
comparison,
Budget vs Actual，
etc
Hidden
Relationship
Problem
• Big data is so large and complex
• Difficult to process with the database management tools
• Data mining requires trained analytics professionals
• Take long time for the analysis
• High investment

Social Media
Blogs
News
Facebook
Twister
Data Type
ExternalInternal
Unknown
Known
ROI,
Performance,
Year on Year
comparison,
Budget vs Actual，
etc
Hidden
Relationship
BI
SPSS Catalyst
SMA

BI Benefit
• Visualization of key index and opportunities at the earliest
• Stay Connected and Informed about your Business
Anytime, Anywhere
• Turn the insight into action
• Proactively detect abnormal status for timely action
• Provide Multi-dimensional, Holistic view in a single
Platform of Enterprise
• Effective and Clear Communication and Monitoring of
Strategy at Strategic, Tactical and Operational Levels in a
single view of truth
• Transform Employees into Self-serving Knowledge Workers

SPSS Catalyst Benefit
• Addresses analytics challenges of big data
• Provides results as a starting point for deeper analysis
• Automates discovery and helps identify key drivers
• Interactive visuals and plain language
• Accelerate predictive analytics
• Benefits different types of users, including
departmental experts, line of business managers and
analytics professionals
• Uses the power of IBM SPSS Analytic Server to enable
access and the ability to work with data in Hadoop
distributions

SPSS Catalyst Example
• Basket Analysis
• Identify Target Group for Marketing
• Customer Buying Behavior
• Retain Customer Loyalty
• Credit Risk Analyst in Banking Industry
• Claim Rate in Insurance Business
• etc

Social Media Benefit
• Influence and intimacy
• Scale and speed
• Lower costs

Social Media - How
• Too much information, how to retrieve and
analyze?
• IBM Social Media Analytic Solution
– Capture consumer data from social media to
understand attitudes, opinions, trends and manage
online reputation
– Predict customer behavior and improve customer
satisfaction by recommending next best actions
– Identify the primary influencers within specific social
network channels
– Create customized campaigns and promotions that
resonate with social media participants

SMA Example
• Evaluate effectiveness of marketing campaign
• Market analysis for new products
• Speedy crisis management
• Industrial trend analysis
• Supplier, competitor analysis

Next Session

Right
informa
tion
Right
time
Right
person
Right
decision
Why BI?

Failure Case Sharing
• Client 1 –
– 50 users
– HKD5 millions investment
– BI, ETL, Enterprise level DBMS, Top grade server
deployed
• What’s fail
– The platform did not handle some critical external
data source, so the user doesn’t like it
– Old user use old way to get information, new user
doesn’t know the BI platform
– Can’t hire right person to maintenance the system

Failure Case Sharing
• Client 2 –
– 100 users
– BI, ETL, DBMS
• What’s fail
– Take 1 hour to retrieve 1 single report
– User need to join reports in Excel
– ERP was not updated, some of latest grouping is not
available, so its not available to BI too
– IT built the BI based on their knowledge

Top 10 reason to forget BI
Absence of budget
data source, forget it
Slow
Performance, forget it
SAP data dictionary is
unbreakable, forget it
No key between HR
system and ERP
system, forget it
Huge investment of
BI, forget it
No way to hire right
person to maintain
DW and BI, forget it
No Business Analyst in
the company, forget it
Excel can do
anything, forget it
Required product
group is not in
system, forget it
ERP system is top
priority of IT, will start
BI later

GAP to be filled
• IT – BI is not prioritized
• Business analyst –
inappropriate tool
• Operation – Require a
lot of detail report
within their
department
• User – Need accurate
information to know
what’s happening and
make right decision

For those BI lover but considering pricing and technical barrier......GAI is
offering
Business Intelligence as a
Service

GAI Services
BI SPSS Catalyst Social Media
Analytic
Platform
(Hardware & Software)
• BI Server
• DW Server
• Analytic Server • Not Required
Need Analysis • Identify Data Source • Identify Data Source
• What is the target
• Identify input
• Identify Query,
Types, Concepts,
Hotword
Build • Data Preparation (ETL)
• Build Data Warehouse
• Build Model
• Build Report
• Data Preparation (ETL) • Not Required
Result Analysis +
Subscript Report
• Regular report
generated
• Analyze the supporting
of the result
• Prepare regular report
• Not Required

BI delivery

All about DELIVERY
• Schedule – regular operation reporting
• Trigger – System monitored KPI and Threshold
• Email – right time to right person
• Dashboard – single view to critical message
• Monthly management report meeting

Why BIAS
• Focus on required information and analysis instead of
resolving technical problem
• High ROI
• GAI provides critical business information reporting
• GAI provides technical knowledge

GAI BIAS
Source data Storage DB or Cube Reporting
GAI BI Server

Our Service
Service Frequency Remarks
Define KPI, Threshold and
information to be monitored
Data preparation User define To define data to be poured into DW
Data ETL User define Transform into appropriate format
Report generation User define
KPI generation Monthly
Dashboard generation Monthly
Data analysis Monthly
KPI, exception monitoring Monthly KPI, Exception, Key driver
Platform management Daily
Technical Support On Request

Success Case Sharing
• TVB
– 100 users
– BI, ETL, DBMS
• Why Success
– Their General Manager said,
– Heavily rely on the platform to perform business analysis
– All analyst using same information source
– Half daily correct information provided to all related
parties
– GAI as BI partner

Success Case Sharing
• GP
– 40 users
– BI, ETL, DBMS
• Why Success
– Their COO said,
– Great decision made in 2011 by leveraging BI system,
– BI Competence Center is setup,
– Management dashboard create the center of
management perception of company,
– GAI as BI partner

GAI + You
=
Loving BI BB

Reminder
• Visit us on www.gainfomart.com
• Search and like us on
www.facebook.com/gainfomart, or search
“gainfomart” on Facebook
• GAI YouTube channel release soon

Gai 2013 q3_seminar_20130826_03

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