The forerunner in open data“Weather Information”Our service -- Challenges for HALEX--

Three examples of practical use

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2

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General information

Dedicated information

＞＞＞ ＞＞＞＞ ＞＞Telegraphs and telephone

＞＞

Meteorological Agency の天気 forecasts

1940 1960 1980 2000 2010Changes in

ICT

Same everywhere

＞＞＞

Delivery of information

Closed

Observation/weather chart

Confidential information

Users

Individual needs

Radio

TV ＰＣ /cell

phone・

Mobile terminal

HALEX’s proprietary weather system

＞＞＞＞＞＞＞＞

Weather information is required to match changes in ICT and social needs

Governments and

organizations

Individuals

Personal use skyrocketing!

In 1993, the weather business was first opened to the private sector

Meteorological

Agency

Information Promotion Office!

as many industries as possible to use its information!

Meteorological Agency wants

Section in charge

The forerunner in open data Do open data ever have a future when we are

unable to do business based on weather information?

We aggressively engage in daily activities with “guts and pride”!

Top forerunner in open data “Weather Information”Our service --Challenges for HALEX--

Three examples of practical use

1

3

１

２

OpenData

Carry out business by taking advantage of

open data This means

Aggressively

Compete against Free Services!

￥

付 加 価 値　　 No clients will be interested in us if

we do not offer added values! 　

What added values can we offer?

Then…

Added Values

Previously

Private weather

company

Inf

or

ma

tion

Fine processing

Secondary processing

Clients

Inf

or

mati

on

‘

TVRadio

HP

Distributed without charge

Meteorological Agency

Primary processing

Ready-made

information

Only “free” information is provided

“General forecasts” released to mass media

by Meteorological Agency

1 N B to Cto

Baseweather

data

Originally

　Provides solutions

Only a private weather information company can do this!“Forecasts for you”

1 1 B to B/B to Gto

Meteorological Agency

Base weather

data

HALEX

Primary processing

SRaw

materials

Clients

Processing on demand

System company Cooperatio

n

Issues

By introducing weather information into the business of clients, we deliver “Effects”!

These are

the added values we can offer

Our service

Effects Business of clients

Performance

Function Weather information Efficacy

Business know-how

Analytics(Power to make assumptions)

To meet different customer needs, how should we loot at

open data?

Big Data Protect firmly

Save more

Earn more

The forerunner in open data “weather information”

Our service --Challenge for HALEX--

Three examples of practical use

1１

２２

３

1. Business with Keikyu Corporation

　 Fully use precipitation data

　 to prevent missing information!

Protect

firmly!

Rain clouds are shown in

tiles1km×1km

Click

“Rainfall intensity change” for up to 1 hour

Accumulated amount of rainfall for the past 24 hours + the future 6 hours

You can see by mesh hole how the rain may fall

When you detect an excessive amount of rainfall on any line

At these stations

路線図上危険箇所にアラームが現れ

雨量自動監視と危険の見える化

京急久里浜

YRP 野比

京急長沢

北久里浜

新大津

Visualize the automatic monitoring of rainfalls for the amount

2. Business with an agricultural corporation

From now on,weather information is ”the

strongest weapon” for agriculture

Protect

firmly! Save

more! Earn

more!

Pay attention!

Soil

地形 地理･weather

Biological environment

（ pests, weeds, etc. ）

Natural environments surrounding agriculture

Weather

Topology/ geography

Adjustment of planting/shipping

time

Fertility management

Protection against abnormal weather

Regional differentiation

Selection of varieties of plants Growth diagnosis

Growth prediction

Protection against diseases and pests

In agriculture, what is affected by weather?

Strategy Tactics

Planning of an agricultural

management strategy

Strategy

Utilization of weather information

Tactics

Long- and mid-term forecasts （ 1 month, 3 months, warm/cold seasons ）

Past weather observation data

Regional characteristics

Understanding the trends

Quantitative management of agriculture

Daily management (Quantitative management)

Instantaneous forecasts （ 6 hours, 1 hour ）

Short-term forecasts （ weekly, 72 hours, 24 hours)

Recorded data (e.g., temperature change, accumulated temperature, sunlight hours)

Monitoring the conditions

Earn more!

Added values we must create

可能性のコンサルティングweather 予測→気候予測

想定リスクの提示代替手段の推奨

Protect firmly!

Save more!

Strategy Tactics

Consulting on possibilitiesWeather

prediction→climate prediction

Presenting potential risksRecommending alternative

measures

Currently under demonstration

testing in Ehime Prefecture

We have information long required by farms

The future of agriculture is changing

Ehime Prefecture deliversThe world’s first “Weather Forecasting System for

Agriculture”

3. Business with a leading advertising agent

Use of seasonal forecasts

Launching advertisements in a timely manner!

Earn

More!

An example of a leading maker of men’s clothing

平気気温25 度以上The highest temperature

exceeding 30°C

Timing mismatch in

advertisement!

Launching TV commercials as usual

for fall/winter campaigns

Best timing for TV

commercials

Temperature changes from end of September to

October, last year

A decision on launch of commercials made

３ weeks before

Little knownMonthly Forecasts used

“Monthly forecasts” posted on the Meteorological Agency

homepage

Unusable!

Our services are based on our“ability to analyze and understand

data”

Meteorological Agency’s “forecasting trend” analyzed and explained with the skill

of a weather forecaster

Verification materials

Sales personnel are also weather foprecasters

Finally

Techniques for using information ＝Intelligence

IT ＝ InformationTechnology

IntelligenceTechnology

Amalgamate into

clients の目的 要望に応じ･て

データを読み解けるかが最大の鍵！

The greatest key is whether data can be analyzed to meet

the purpose and needs of individual clients

Open data are useless when they are simply looked at

Thank You