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 MediaBlogsNews

FacebookTwister

Data Type

ExternalInternal

Unknown

KnownROI,

Performance,Year on Year comparison,

Budget vs Actual，

etc

Hidden Relationship



FacebookTwister

Data Type

ExternalInternal

Unknown

KnownROI,


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



FacebookTwister

Data Type

ExternalInternal

Unknown

KnownROI,


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 informat

ion

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– HKD1 millions investment– 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 ServicesBI 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 ReportingGAI BI Server


Our ServiceService Frequency Remarks

Define KPI, Threshold and information to be monitoredData 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– HKD4 millions investment– 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– HKD3 millions investment– 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

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Technology

Gai 2013 q3_seminar_20130826_03