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MBIS

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by

Karen Kristine Tan

on 3 April 2014

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Transcript of MBIS

What does it mean?
How?
“That's all about how do you take that
data
, and turn it into
action
, how do you take that and run a business better, for
customers
.”
-- Beth Comstock, senior vice-president, GE
<http://www.gereports.com/connecting-the-dots/>
<http://www.idgconnect.com/blog-abstract/575/christophe-caquineau-global-big-data-big-opportunity>
Obstacles
Needs
Business
Intelligence

Strategic planning
Current, historical and predictive views
What is BI ACTUALLY for?
Customer behaviors,
buying
patterns
and sales trends
Measuring, tracking and predicting sales and financial performance
Budgeting and financial planning
and forecasting
Tracking the performance of marketing campaigns
Amazon.com Inc.
Product Recommendation
“Your
Amazon.com
is a way of making sure that you don’t miss the
perfect
item.”
YOUR

Your virtual shopping carts or wish lists
Searches
Past purchases
Others
"Amazon Betterizer"
Track
data
Items that you have rated/liked
Amazon Betterizer
E.g geographical location
How
?

Predictive analytics
Gather information
E.g. Affinity analysis
Analytical Customer Relationship Management (CRM)
COMPLEX ALGORITHM
Better personalization
Enhanced customer experiences
Product recommendation
-- Jules Polonetsky,
director of the Future of Privacy Forum <http://online.wsj.com/news/articles/SB70001424052702304898704577480650990966564>
"...‘Here are the books we think you would like’ and
users
seem to
get that
.”
2% - 5%
Average order value
50%
Product recommendation

Awareness

is fine, but


will take your business to
the next level.


ADVOCACY
– Joe Tripodi, Chief Marketing Officer, The Coca-Cola Company
Big Data in Operation
Level
Easy access
Better management decision
Accelerate
decision making
Boost performance
Narrower customer segmentation
Improve
design of products
More systematic data collection
EACH:
in-store traffic, ordering patterns
Particular stores: Optimize design
Petabyte of data
Service centre
DAILY
Social media,
mobile applications, cloud computing and e-commerce
Respond to change
Analyze working pattern
Predict demand
Get updates from retailer
Improve efficiency of HR
Enhance efficiency of supply chain
Overtime cost
46%
Analyze retail information
Peak for 3 months annually
>10000 different tastes!
Satellite image
Weather information
Yield history
Customers' preference
Consistent
taste year-
round
Black Book Model
Extreme weather condition
Quick reaction

Algorithm
5-10 minutes!
New model
Big Data Analytics Challenges
Which is relevant and important?
Where to collect?
What format?
Volume?
Type of information
To whom?
Velocity
Privacy and security
Name
Pictures
Gender
Current location
List of friends
Pages you liked
2.5

Exabyte
of data
E V E R Y D A Y
(1 Exabyte = 1,000,000,000GB)
How much are you willing?
How much space?
How long going?
Get the gold!
Analyze!
Big data
Industry knowledge
Wisdom
Information
“You can’t
manage
what you don’t
measure
.”
-- Peter Drucker, Management consultant, educator, and author
Discussion
(Question)
Suggestion
Education
Moral
Restrictions from Government Laws
Data analysis specialists
Summary
Q&A
LTL002
GROUP3
Full transcript