最新版企业大数据分析存储项目解决方案
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Fraud / theft protection
Call Centers
Outage Mgmt
Billing systems
案例: Smart Metering智慧电力计费 大
数据分析应用可以带来真正的业务价
值
Grid Operations
减少停电次数和时间
电网管理
及时发现能源损耗问题、 以及偷电和欺诈行为
Predictive analytics and
modeling
Systems Security Storage
On premise, Cloud, As a service
IBM Big Data & Analytics Infrastructure
Customer selfserve portals
Discovery and exploration
What action should I take?
Decision management
What did I learn, what’s best?
Cognitive
Why did it happen?
Reporting and analysis
What could happen?
Field Service 外勤现场服务
电网运维优化
Smart Metering
Resource Planning 资源规划
Customer Service / Customer Operations
电量使用预测更为精确 提高客户满意度
法规遵从
实现真正的有效的 法规遵从
5
案例: 用大数据分析来加对整强个企业的结S构m化和非a结 rt Metering
提供及时的需求/响应服务
Information Integration & Governance
What did I learn, what’s best?
Cognitive
Why did it happen?
Reporting and analysis
Call Centers
What could happen?
最新版企业大数据分析存储项目 解决方案
从企业数据向大数据的扩展
具备洞悉能力的系统
Systems of Insight
Traditional Approach
New Approach
Structured, analytical,
Creative, holistic thought,
logical
intuition
Landing, Exploration
and Archive
data zone
关系掌控
构建和维护电网的唯 一试图
Analytics data zone
EDW and data mart
zone
What action should I take?
Decision management
分时时段电价的实时定价 或
▪ 存取和处理海量数据——包括结构化
和非结构化数据
▪ 速度及时响应随时可能出现的商业机
会，这就需要灵活、实时性的基础架 构
▪ The dynamics of SoR and SoE:
– 通过负载及资源部署的优化，来增强 灵活性和效益
– 通过采用包括基于开放标准的技术等 新技术来改善IT economics
Customer self-
What is 分析用户用电情况，侦serve portals happening? 测偷电、改表等行为
Discovery and
exploration
Fraud / theft
ERP
Deep
protection
Location Customers
Grid
Operational data zone
Operational data zone
Landing, Exploration and Archive data zone
Deep Analytics data zone
EDW and data mart
zone
Information Integration & Governance
What is happening?
大数据分析的新型架构解决方案
IBM Watson Foundations
All Data
Data Zone
Application Zone
New/Enhanced Applications
Meters ERP Location Customers Grid
Real-time Data Processing & Analytics
Text Data: emails
Sensor data: images
New Sources RFID
对新式基础架构的需求 Systems of Engagement（SoE） ▪ 在可靠和安全的环境中处理关键业务 应用
Big Data & Analytics
对的决策 对的地方 对的时间点
System of Record （SoR）
Systems of Record
Biblioteka Baidu
Systems Of Engagement
Data Warehouse
Transaction Data
Internal App Data
Mainframe Data
Structured Repeatable
Linear
OLTP System Data
Traditional
构化数据t做全局导览
IBM Watson FoundaNtaiovignastion，从中发现
All Data
Discover价值
New/Enhanced
Applications
实时收集、存储并分析数据， 历史用电状态数据的复杂
最快可达 50,000 data
查询处理
Meters
pointRs/esael-ctime Data Processing & Analytics
Predictive analytics and
modeling
Outage Mgmt
Billing
预测哪些用户适合于sy哪ste些ms分 时时段电价或需求/响应服务
ERP data
Sources
Systems of Insight
Enterprise Integration and Context Accumulation
Hadoop and Streams
Multimedia
Web Logs
Unstructured Exploratory
Dynamic
Social Data
Call Centers
Outage Mgmt
Billing systems
案例: Smart Metering智慧电力计费 大
数据分析应用可以带来真正的业务价
值
Grid Operations
减少停电次数和时间
电网管理
及时发现能源损耗问题、 以及偷电和欺诈行为
Predictive analytics and
modeling
Systems Security Storage
On premise, Cloud, As a service
IBM Big Data & Analytics Infrastructure
Customer selfserve portals
Discovery and exploration
What action should I take?
Decision management
What did I learn, what’s best?
Cognitive
Why did it happen?
Reporting and analysis
What could happen?
Field Service 外勤现场服务
电网运维优化
Smart Metering
Resource Planning 资源规划
Customer Service / Customer Operations
电量使用预测更为精确 提高客户满意度
法规遵从
实现真正的有效的 法规遵从
5
案例: 用大数据分析来加对整强个企业的结S构m化和非a结 rt Metering
提供及时的需求/响应服务
Information Integration & Governance
What did I learn, what’s best?
Cognitive
Why did it happen?
Reporting and analysis
Call Centers
What could happen?
最新版企业大数据分析存储项目 解决方案
从企业数据向大数据的扩展
具备洞悉能力的系统
Systems of Insight
Traditional Approach
New Approach
Structured, analytical,
Creative, holistic thought,
logical
intuition
Landing, Exploration
and Archive
data zone
关系掌控
构建和维护电网的唯 一试图
Analytics data zone
EDW and data mart
zone
What action should I take?
Decision management
分时时段电价的实时定价 或
▪ 存取和处理海量数据——包括结构化
和非结构化数据
▪ 速度及时响应随时可能出现的商业机
会，这就需要灵活、实时性的基础架 构
▪ The dynamics of SoR and SoE:
– 通过负载及资源部署的优化，来增强 灵活性和效益
– 通过采用包括基于开放标准的技术等 新技术来改善IT economics
Customer self-
What is 分析用户用电情况，侦serve portals happening? 测偷电、改表等行为
Discovery and
exploration
Fraud / theft
ERP
Deep
protection
Location Customers
Grid
Operational data zone
Operational data zone
Landing, Exploration and Archive data zone
Deep Analytics data zone
EDW and data mart
zone
Information Integration & Governance
What is happening?
大数据分析的新型架构解决方案
IBM Watson Foundations
All Data
Data Zone
Application Zone
New/Enhanced Applications
Meters ERP Location Customers Grid
Real-time Data Processing & Analytics
Text Data: emails
Sensor data: images
New Sources RFID
对新式基础架构的需求 Systems of Engagement（SoE） ▪ 在可靠和安全的环境中处理关键业务 应用
Big Data & Analytics
对的决策 对的地方 对的时间点
System of Record （SoR）
Systems of Record
Biblioteka Baidu
Systems Of Engagement
Data Warehouse
Transaction Data
Internal App Data
Mainframe Data
Structured Repeatable
Linear
OLTP System Data
Traditional
构化数据t做全局导览
IBM Watson FoundaNtaiovignastion，从中发现
All Data
Discover价值
New/Enhanced
Applications
实时收集、存储并分析数据， 历史用电状态数据的复杂
最快可达 50,000 data
查询处理
Meters
pointRs/esael-ctime Data Processing & Analytics
Predictive analytics and
modeling
Outage Mgmt
Billing
预测哪些用户适合于sy哪ste些ms分 时时段电价或需求/响应服务
ERP data
Sources
Systems of Insight
Enterprise Integration and Context Accumulation
Hadoop and Streams
Multimedia
Web Logs
Unstructured Exploratory
Dynamic
Social Data