Symfoware Analytics Server
Customer Benefits
Enables discovery of new trends/changes thanks to detailed analysis achieved by reducing the processing time required for aggregation to 1/500, making it possible to perform 500 times more analyses.
Reduces time required for installation and time required for analysis data preparation by 1/3 and 1/6, respectively, thanks to its integrated data collaboration, processing, storage, and extraction functions.
PostgreSQL interface that can link with hundreds of other tools and packages allows customers to use their familiar BI tools as they are.
More detailed analysis made possible by this data warehouse will improve the accuracy of your analysis, which will allow you to notice trends and changes that you could not before and accurately assess the situation and respond appropriately. For example, when performing sales analysis with POS data, you can have sales figures by the hour or minute, instead of by the day, for each item and store, enabling you to optimize the product lineup and number of items to be ordered, and consequently leading to an increased sales.
Data Warehouse that Accelerates Information Utilization with its High-speed Information AggregationFUJITSU Software Symfoware Analytics Server
Functions required for information utilization are integrated
Link StoreRDB
ExtractProcessCSV
Notice trends/changes that you were not aware of
Data source Analysis task
Reduces time for analysis system installation by 1/3*
* Results obtained by Fujitsu
Supports hundreds of tools, including:- SAP BusinessObjects- Pentaho BI Suite- Tableau- Oracle Business Intelligence
Drill down is possible
By area By store
By the hour
Databaseextraction
CSV storage
- GUI operation allows non-DB engineers to process data - Analysis data is ready by simply using a combination of templates
日付 店舗ID
商品ID 数量
2014/5/1 001 1012345 12014/5/1 003 1012345 12014/5/1 003 1012347 22014/5/1 003 1012346 12014/5/1 010 1012346 3
: : : : Sales data
Store master
Templates
Create table Extraction StoreProcessPermission
...
Listing
CompilationDrill down as needed
Easier preparation of analysis data Improved analysis accuracy
Sale
s
Kana
gaw
a
Toky
o
Shiodome
Kamata
Yokohama
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NewProduct
Databaseextraction
QtyDateStore
IDprocess
ID
Copyright 2014 FUJITSU LIMITED 2014.5
Fujitsu’s Services/Technologies Supporting the Offering
Statistics analysis technology
In-memory forecast analysis libraryData mining technology
Customer Benefits
Decision making for improved performance through real-time analysis/forecast based on massive information inside and outside the company
Real-time Business ManagementEfficient and advanced management analysis and more accurate predictions
Information Infrastructure Inventory Management Sales Forecast
Problem
Need to use scattered internalmanagement information
in a timely manner
Need to take the next measure whilepredicting the results instead of
analyzing sales after completing salespromotion
Need to grasp the status of sales/slow-moving inventory even faster.
Daily reporting is too late.
Solu
tion
Collect/analyze managementinformation across systems
/operations in real time
Enable correction of strategies inthe middle of sales promotionthrough accurate sales forecast
Report slow-moving inventoryin stores in real time
Faster information analysis, andsophisticated analysis approach
Efficient sales promotion,and improved sales
Reduced warehousing costs/lost sales opportunities, efficiency in appropriate responses (price reductions, transfer of
goods between stores, etc.)
Effe
ct
Template by industry/task(Dashboard)
Management information analysisA Real-time analysis platform
High-speed DWH platform (in-memory/column DBs)
Real-time ETL
‐ Outputs store/merchandise/single-item-level reports immediately, and also enables atypical analysis
‐ Predicts success/failure of a sales campaign based on information obtained during the several days following its launch and quickly analyzes the factors.
A n a l y s i sD e t a i l s
Management information visualization template
Building of an advanced prediction/analysis model
Real-time collection/unification of management information data
Internal data
External dataCRM Inventory
managementSales
managementProject
managementMarketing
management
ERP applicationsEconomic indicators SNS data
In-memory
B
A B
C
C
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in-house practice
Real-time management information analysis/Improved accuracy in sales forecasts
Copyright 2014 FUJITSU LIMITED 2014.5
Customer Benefits
Next-Generation On-Demand Mobility Service:Predicts transportation demand and recommends a suitable means of transportation based on user needs.
Elderly Care Service:Detects unusual and dangerous behavior with behavior analysis technology that utilizes image data and environmental sounds (e.g. the sound of someone falling out of bed).
Next-Generation On-Demand Mobility Service
Reservation
Dispatch
User wants to arrive at the destination by 9:00 am
Elderly Care Service
Nurse Call Homecare Nursingfor the Elderly
Image Sound
Dispatch Dispatch
Depart8:40 am(840 yen)
Depart8:30 am(400 yen)
Depart8:10 am(220 yen)
Patent Pending
Prioritize fastest journey time!
Prioritize lowest travel expenses!
Prioritize balance between journey time and travel expenses!
* Sections in this document marked relate to technologies for which a patent application has been submitted.
Advanced Technology
Detects and issues alerts for unusual behavior based on real-time behavior analysis of moving objects.
Recommends a suitable means of transportation based on analysis and prediction of transportation-related information.
Patent Pending
SPATIOWL collects and analyzes location, image and audio information on real-time moving objects, such as pedestrians and vehicles, to identify unusual behavior and conditions. SPATIOWL provides people with optimized transportation-related services and care services.
The service can be used by selecting the preferred vehicle from the available options
Advanced Sensing Technology for Monitoring the Elderly
When Advanced Sensing Technology detects potential or actual dangerous behavior by elderly persons, it informs the nurse, staff and family at an appropriate time. It enables accurate detection of unusual behavior (e.g. falling, crouching or wandering) by optimizing recognition logic and learning data.
SPATIOWL: A Platform for Behavior Analysis and Mobility OptimizationFUJITSU Intelligent Society Solution SPATIOWL
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SPATIOWL
SPATIOWL
Healthcare Check through Electronic
Medical Record
Taxi Mode Shared Taxi Mode Scheduled Mini Bus Mode
Copyright 2014 FUJITSU LIMITED 2014.5
Customer Benefits
Not only minimizes energy costs, but also enables automatic control based on predicting and forecasting.
Maximizes production and improves product quality, yields, safety and health.
Fujitsu’s solution achieves environmentally friendly and optimal plant management and improves external assessment regarding CSR by gathering real-time data on energy consumption inside a plant and by analyzing the data in combination with various pieces of management information.
Real-time Plant Energy Management
Facility maintenance serviceAR integration platform technology
Environmental management dashboard Energy demand prediction technology Micro-grid technology
(Solar power generation, storage batteries and electricity deregulation)
MES (manufacturing execution system)Production managementOperation monitoring serviceFailure prediction technology
Significant increase in productivityOptimization of energy supply and
demand
Optimal plant management analysis performed by using all information available in a plant
Action analysis for optimal plant management by gathering together all plant information (production, quality, cost, number of workers, facilities, energy, etc.)
Analysis
Plant management dashboard
Visualization and optimization of plant management resources
Plant management Production management Safety and health management
Need to streamline the use of plant management resources, including personnel, materials, money and
energy
Need to create a safe and healthy
plant environment
Need to reduce energy costs and improve production efficiency as well
as product quality
Analysis and automatic control for improving production efficiency while minimizing energy costs; and optimizing plant management through the visualization of management indicators (quality, costs, delivery
time, safety and environmental performance)
Minimizing energy costs and automatic control based on predicting and forecasting
Improved safety and health as well as enhanced assessment regarding CSR
Significant increase in productivity and improvement in product quality
and yields
Purchasing
Need to consider costs, reliability of supply and
environmental performance in purchasing
M2M serviceSensing network service
Installation of a flexible sensor network
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Chal
leng
eSo
lutio
nEf
fect
s
Simultaneous display of the field, products and data
in-house practice
Copyright 2014 FUJITSU LIMITED 2014.5
Using media data and sensing data for advanced production equipment maintenance
Predicts equipment failure based on various data, including image/audio data and sensing data Reduces maintenance costs and improves the operating rate of systems by performing maintenance at the
optimal time
Improved Equipment Maintenance by Forecasting Breakdowns
Equipment Maintenance Plant Operation Production Management
Problem
Need to reduce maintenance costs byraising the productivity level of equipment
maintenance operations performed by workers who relied on their instincts and experience
Need to reduce the burden of reviewing production plans due to production line
shutdowns
Need to avoid reduction inproductivity due to unexpected
system shutdown
Solu
tion
Perform maintenance at the optimal time before equipment failure occurs
Develop detailed production plansconsidering the maintenance plan
Keep operating systems up to theoptimal time for maintenance on the
maintenance plan
Optimized maintenance costsas a result of reducing the frequency of maintenance
Reduced lost sales opportunities/excess inventory, revised production
plans and increased productivity
Improved product quality andthe system operating rate due
to reduced incident rates
Effe
ct
Fujitsu’s Services and Technologies Supporting the Offering
Sensing network service
Wireless network technologyA Image/audio/text analysis technologyB
Media data analysis technologyAdvanced acoustic analysis technologyAdvanced text mining technology
Failure prediction/symptom detection technologyC
Failure symptom detection technology Failure prediction technology
Building of an advanced failureprediction model
‐ Detects changes in the status of and errors in equipment/systems from pictures, audio, and other media data and sensing data
‐ Accurately detects the time of equipment/system failure by using failure prediction technology.
Accurate failure prediction by using sensing data/media data
A n a l y s i sD e t a i l s
Use of analogue information (appearance/noise) for failure prediction
Installation of flexible wireless sensor networkA
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Advanced Technology
DemonstrationOnly
in-house practice
Copyright 2014 FUJITSU LIMITED 2014.5
CB
Statistical analysis
Weather, manufacturer
Picture images
Optimized Pharmaceutical agent
Maintenance proposed
Emergency response, potential accident map
Improvement measuresTechnical traditions
Comments
Junior operator
Water quality
Unusual conditionsInstruction manual
ProductivityHazardous areas
External data
Audio data
Technical know-how Operator’s
movementsOperator’scondition
Advanced Technology
DemonstrationOnly
Customer Benefits
Fujitsu technology enables required actions to be identified in the event of plant equipment abnormalities by exploiting various types of external data (e.g. equipment status and workers written records).
Plant equipment abnormalities and required actions are displayed in real time to the worker in the field through HMDs (Head Mounted Displays).
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Image/Audio/Text Analysis Technology
Breakdown Forecasting/Prediction Technology
Wireless Sensor Network Technology
Big Data Analysis Technology
Real-time Analysis Technology
BigData
The Innovation in the Field with Operational Analytics
wearable device
Fujitsu will introduce a paradigm of various Big Data which is collected from the field. In addition to Fujitsu will bring together how to use Big Data concept on substantial data which accumulated by new strategies, such as on wearable device.
Copyright 2014 FUJITSU LIMITED 2014.5
Operator’s posture,movement
Senior operator
Noise, vibration
Monitoring Failure Signs Using Acoustic and Vibration Diagnostic TechnologyAnimoWaveBase: acoustic/vibration analysis/diagnosis solutions
Analysis, visualization and diagnosis3
Sensors (vibration sensor or microphone, sensitivity, frequency characteristics, operating temperature, watertightness, explosion-proofness)
M2M unit (amplifier, AD converter, transmission unit, etc.)
Selecting and recommending devices
Acoustic/vibration analysis technologies employing our vast signal processing experience
Selecting the best combination of acoustic and vibration analysis according to the target
Designing an optimized analysis/decision method
A wealth of implementation experience (middleware/cloud)
Flexible acoustic/vibration diagnosis solutions according to existing systems/services
Implementing into current systems and services
AnimoWaveBase Solutions, Supporting the Evolution of Preventive Maintenance
Optimal selection/placement of sensors on maintenance targets
1
Engines, etc.Manufacturing
lines/equipment
Bridges and other structures
Plants/piping facilities
Datacollection2
- Eliminating unnecessary components according to each target and environment
- Detecting the most descriptive features using signal processing
- Extracting events related to signs of failure and enabling their visualization
Animo Limited is the first venture company founded by Fujitsu Limited. Animo develops and provides multimedia software, services and solutions with "Sound and Voice" as core technologies.
Maintenance target Location Acoustic/vibration parameters to be monitored
Construction machineryand others
Railways, automobiles
Moving and rotational parts- Engines, motors, V-belts
Pumps- Pistons, turbines, rotors
Revving sound characteristics- Spectral features
Manufacturing line in general Rolling parts- Bearings, shafts, belts
Noise features- Rotating speed, period, spacing
Smelting Chemical plants, power plants, etc.
Pressing machines Electrostatic precipitators (EP)
Characteristics of impact sounds- Power, attenuation, frequency
characteristics
Plants in general Pipelines
- Leakage in gas, liquid and other pipe systems
Characteristics of sound in fluids- Power, frequency
characteristics
Structures: bridges, tunnels, roads Concrete structures
Characteristics of hammering sounds- Power, attenuation, frequency
characteristics
Advanced Technology
NewProduct
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Customer Benefits
Detecting signs of failure through continuous monitoring of acoustic and vibration data for improving the level of preventive maintenance. Reducing costs and optimizing operation rates of facilities by optimizing the timing that maintenance is carried out. Providing a total solution ranging from the selection of sensors to the implementation of new analytical functions on our customers'
systems.
Enhancing the possibilities of preventive maintenance using acoustic and vibration data obtained from sensors.
Copyright 2014 FUJITSU LIMITED 2014.5
Customer Benefits
Enables prediction of facility failures as well as maintenance through the use of sensing data collected via M2M. Enables easy and secure construction of a dedicated M2M network using the FENICS Ⅱ M2M-GW, a telecommunications
device originally developed by Fujitsu.
Fujitsu offers services for collecting and utilizing information from devices scattered in remote places. Total M2M services are available, including telecommunications devices, networks and an M2M service platform (cloud). A variety of M2M service platform features are available, including the central management of telecommunications
devices and application linkage.
M2M Solution for Collection and Utilization of Sensing DataFUJITSU Managed Infrastructure Service FENICS Ⅱ M2M Service
Diverse network connections are available, including connections to mobile devices, broadband and end-users’ existing networks (optional adaptors are required for mobile connections).
Solves address issues and security issues that present difficulties in enabling a variety of different network connections.
No need for individual development (we are also planning to offer support for add-on development).
The FENICS II M2M service enables the central management of M2M-GW.Ethernet 2 ports; RS232C 1 portSize: 141 mm (W) × 77 mm (D) 30 mm (H)
Patent pending
* Products marked with in this document include technologies for which patent applications have been filed.Patent pending
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Features of FENICS Ⅱ M2MーGW
FENICS Ⅱ M2M service
M2M service platform(Fujitsu data center)
Customers’applications
Access authentication
API
BI tool
Big data analysis service
Maintenance service
Business applications
Data accumulation
Telecommunications device management
Devices targeted for management(inside LAN)
Telecommunications device
Telecommunications device
Existing broadband(SSL-VPN)
Mobile network
Advanced Technology
DemonstrationOnly
in-house practice
NewProduct
Copyright 2014 FUJITSU LIMITED 2014.5