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RESEARCH & DEVELOPMENT
0 0
100
200
300 9
6
3
5.3
236.2
5.2
238.3
5.3
224.9
4.8
249.9
5.3
2009 2011 2012 20132010
231.0
As our fundamental R&D policy, we pursue initiatives to create new value for our
customers and to achieve our Corporate Vision of contributing to the creation of a
networked society that is fulfilling and secure, bringing about a prosperous and
dream-inspiring future. In order to achieve these initiatives, our R&D of advanced
technologies includes technologies for next-generation services, computer serv-
ers, and networks, as well as various electronic devices and advanced materials
which serve as building blocks for our products and services.
Our Mission in R&D
Total
231.0
(billion yen)
1 Technology Solutions 48.1%
2 Ubiquitous Solutions 16.5%
3 Device Solutions 18.8%
4 Other Operations/
Elimination and Corporate 16.5% 1
2
3
4
(Billions of yen) (%)
1 Technology for Automatically Offering Analysis
Scenarios for Easily Using Big Data
As industries seek to promote the effective use of big data, they
must increasingly face the challenge of nurturing and retaining
personnel who have business knowledge about work processes
and specific industries, as well as data analysis knowledge.
In response, Fujitsu developed a function that automatically
recommends analysis templates so that data analysis tasks can
be performed even without expert knowledge. The analysis
templates are prepared by experts and show users what kinds of
data can be used in combination, and how to best interpret and
utilize the analysis results. The new technology is able to amass
such analysis scenarios and recommend them to suit the content
and attributes of the data to be analyzed.
This will make it possible for users to easily carry out analysis
and prediction work by reapplying the advanced knowledge and
expertise of data analysis experts. Going forward, Fujitsu will
work to upgrade and expand its analysis templates and other
resources. At the same time, Fujitsu plans to progressively roll
out this technology onboard the FUJITSU Software Interstage
Business Analytics Modeling Server, a middleware product for
building analytics solutions.
2 Parallel Distributed Data Processing Technology
for Big Data and Efficient Processing
One way of processing big data is incremental processing, which
involves processing new data consecutively as it arrives and
reflecting it in analysis results. However, this method poses a
problem: when data arrives extremely rapidly, the storage system
must process a huge volume of read-write operations, so that the
analysis processing cannot keep pace with the incoming data.
To address this problem, Fujitsu developed a new incremen-
tal data processing technology that drastically reduces the
number of read-write operations performed by the storage
system. The new technology records the data access history
during analysis. Based on this information, certain data that
have a strong tendency to be accessed continuously are grouped
and reallocated in one place to speed analysis processing.
Major Advanced R&D Achievements for Fiscal 2012 (April 2012-March 2013)
Fujitsu’s new technology automatically recom-
mends analysis scenarios to suit the content
and attributes of the data being analyzed.
New analysis subjects
with no analysis
scenarios
Conventional analysis
problems with analysis
scenarios
Data analyst
Customers,
SEs and
consultants
Create and accumulate advanced technologies
Extend our value chain globally
Foster the creation of new businesses
Fulfill our social responsibilities
(Years ended March 31)
R&D expenditure (left scale)
Ratio to net sales (right scale)
R&D Expenditure, and Ratio to Net Sales Fiscal 2012 R&D Expenditure by Segment
Explanations for underlined words can be found in the glossary on page 147-148.
Big data
Creating new
analysis scenarios
Reusing existing
analysis scenarios
Automatic
analysis scenario
recommendation
Analysis scenarios (=analysis templates)
Data combinations, analysis processes (procedures)
060 FUJITSU LIMITED ANNUAL REPORT 2013