PRESS RELEASE
July 19, 2013
The i’s FACTORY co. ltd.

Letter from Data Scientist
The Complete Version of Clustering Service has been Released
Quick and Accurate Analysis, then Focus More on Business Strategy

A Simple One.
In Three Dimensional View…

How to group this?
The i's FACTORY co.ltd., (Chiyoda Ward, Tokyo, President and CEO Tomoyasu Ohba,"i's FACTORY" hereinafter) announces today that its automatic evolution(*1) cloudanalysis tool “Bodais” features the complete version of clustering analysis (customerclassification), starting on August 5, 2013.
The data scientist group i's FACTORY introduces today that its "Bodais," firstly released in2001, has been added with clustering analysis.
Clustering analysis has "supervised" and "unsupervised" types, and the complete version
features both types of analysis. "Bodais," a SaaS service, may free your hands from"scientists" usually requiring expensive tools and long periods on analysis. The cost of 1 yen
per row (record) is also the best price to start your analysis.
Bring your business forward with "Bodais" that enables anyone to "visualize now" and"know the future.”

What is Clustering Service?

Clustering service is to classify (clustering) your data with its attributes. It provides thefollowing versions; "supervised" and "unsupervised" services.
-Supervised clustering
Build a model using clustered data (supervised data) to give cluster codes to a new data.
(also known as cluster modeling).

-Unsupervised clustering
When your data has no previously defined cluster (unsupervised data), this type ofclustering gives cluster codes (cluster generation) before running the "supervised" version.

Flow of Supervised Clustering

1. Upload a clustered data on "Bodais" to build a clustering model.
2. Give cluster codes to a new data with unknown cluster codes.

Scenes where clustering works-Customer segmentation in retail and EC
Tell Bodais your own result of customer segmentation generated with attributes such as
total purchase amount and frequency, and build a model with it. You can predict to which
segment your new customer may be categorized (cluster modeling), and the result enables
you to plan activity. For instance, you can focus on individual customers who should beloyal to you but not yet so.
[input data]demographic information (gender, age, residential address, …),
purchase history (the first item bought from you, total amount paid, …)-Client segmentation for BtoB sales
Clustering with adequate target group or unit, like departments, may help you tocategorize your lead clients. You can develop effective sales teams to target similar
companies/departments,

toaccumulate

know-howseffectively,

andtoprepare

well-targeted sales materials and proposals.
[input data]
basic client information (sales, number of employees, …)
usage/purchase history (frequency, monetary, …)-Customer segmentation with inquiry data
Build customer clusters using answers for 30 questions (cluster generation). Since it is
not practical to make all clients answer 30 questions, Bodais selects the 5 questions thathave the highest selection power to build a model. It enables you to prepare only 5questions to know the cluster to which your new customers belong (cluster modeling), andenables to apply the result with high flexibility, such as instant clustering ofover-the-counter customers.
[input data]demographic information (gender, age, residential address, …),
usage/purchase history (frequency, monetary, …)
response data for inquiry

-Classification of Web users
Build customer clusters with demographic information and access logs (clustergeneration). For each customer, the demographic information may enable you to predict
patterns of their usage for your Web service before they actually start to use (clustermodeling) The result enables you to plan actions in advance, such as to send useful Tips
repeatedly to potential heavy users and to follow up possible dormant users after the pointof their use.
[input data]demographic information (gender, age, residential address, …),access logs (activity record on the Web)◆ FeesBase Fee + Usage Fees (0.6 - 1.2 yen per row)
-First-time registration fee: 20,000 yen (Open account and issue Bodais account)-Usage fees
【Details on Usage Fees】

Base Fee

Maximum Number of Rows
with Base Fee

Per row Fee above theMaximum Number of rows

Best if
Monthly Usage Amount isPlan 18,000 yen/month

16,000 rows/month@ 1.2 yenless than 34,333 rows

Plan 230,000 yen/month

60,000 rows/month@ 1.0 yen

34,333 to 130,000 rows

Plan 3100,000 yen/month

200,000 rows/month@ 0.8 yen

130,001 to 450,000 rows

Plan 4300,000 yen/month

600,000 rows/month@ 0.6 yen

450,001 rows and more

Note

This fee is charged eachmonth regardless of thenumber of rows you used.
Basic registration period is 6months.

These numbers of rows above
The fee above is charged foris the maximum number ofrows exceeding the maximum
rows per month you can use
number of rows per month,
for analysis. You can carryincluding rows carried over
over unused portion of rows up
from past.
to 6 months forward.

Above are to select the bestplan for your potential monthly
usage. Note: since themaximum rows can be carried
over, these numbers maychange depending on yourfrequency of usage.

The unused portion within “the monthly maximum number of rows with base price” can be carried over up to 6 months forward.
The rows above are the sum of rows within input data files for modeling and prediction, except data headers. Adding rows to theexisting dataset are charged accordingly.
If a session of analysis issues error, the rows used for the session are not charged.
Once an analysis finished successfully, the number of used rows is irrevocable even in the case you deleted the result.

-A Chart of Usage Fees

-Related Package
Package

ContentPriceThis is a package for the first-time user of Bodais,
including start-up consulting and the base price of SaaS
Bodaisintroduction package(ask for further detail)package for 6 months.
Our consultant listens to your business goals, define theanswer and process data to be appropriate for data
analysis. This package also offers a "Bodais filter setting
file" that enables your company to repeat and customize
analysis on your own.

From \3,000,000
Additional fees may
be charged
depending on terms
and conditions ofanalysis.

all fees above does not include sales tax.

Tackling Big Data

Big data is all the rage since the last year. We have an increasing number of clients who do
not satisfy existing solution packages but try to activate their data for their own ends.
Bodais is the automatic evolution cloud package we provide to answer client needs in ashort period of time.
Clustering service adds strategic support to scoring service, with which the probability isgiven to business goals such as order receipts and membership admissions. Aside from
customer segmentation, the analytic tool can be applied to a variety of business planninglike prediction of machine failure and allocation of personnel.

Origin of Bodais

As the integrated service of analytical technologies that visualizes potential and course ofaction within large data and text information, "Bodais" is named after the "Bohdi mind", theintense desire for wisdom after enlightenment, combined with "dice" as a symbol of chance.
"Bodais" is a service to discover wisdom in the data.

(*1) Automatic evolution, the term coined by i's FACTORY, is a concept of next generation
computing where computer evolve itself learning the result of actions based on its
prediction.
(*2) These fees are in effect as of July 2013.

About Us
i's Factory Co.Ltd.
Foundation: April 25, 2000
Representative: President and CEO
Tomoyasu Ohba(Doctor of Science)Stated Capital: 66,906,000 Yen

For Press Inquiry
TEL 03-5259-9004
E-mail: sales@isfactory.co.jp
Consulting&Sales Department Ikuta
http://www.isfactory.co.jp/