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High Cloud SolutionsNov 2015
Content
• High Cloud Overview• Core Feature and Competitiveness• Industries and Solution• Successful Cases
is a Big Data& BI solution company based on Azure
HDInsight; also provides the agile data collecting
solutions as light-weight and customized CRM, HCM,
ERP...
has created a Azure based Private&Public& Hybrid cloud
managed service platform for landing and operating
client's applications.
Founded in July, 2014Offices : Chengdu (Headquarter)
• Gold Azure Partner
• 2014 Azure Hero Partner
• The Best ISV 2015
Awards and Honor我们的客户
Content
• High Cloud Overview• Core Feature and Competitiveness• Industries and Solution• Successful Cases
IAAS CSV
NetworkingStorageComputing
CDNCache CDNDatabase
Data BusService Bus
Admin Console
Disaster Recovery& Backup
MigrationDeployment
Online cloud OP Customized OP
MS Global Data Center
MS Global CDN
Big Data Solution
Data Workflow Solution
International IAAS Services
High Cloud services
High Cloud Big Data solution based on Azure
Big Data solution： Predicative Analytics， Social Network
Data mining etc.
Customized, Mobile, Light Weight ERP/CRM/HCM
Efficiently deploy Hadoop Cluster and Virtual Server
High Cloud Public & Hybrid cloud managed service
platform
Customized light-weight ERP/CRM/HCM mobile applications to connect data and systems inside enterprise.
Significantly shorten public cloud-based Hadoop deployment time. Compared with the traditional IT deployment, High Cloud can help customers save about 50% of Capex and Opex.
Quickly deploy business intelligence on Windows Azure. Achieve business objectives by designing and integrating actionable, responsive, and highly scalable data analytics solutions.
Customized private auto OP platform, integrate all the information of devices, enable visibility for actions and workflows.
Automatic Hybrid Cloud OP Platform
Cloud OPSolution
Cloud App
Deploy
Holistic Optimization
Automatic System
Monitoring And Alerting
Services And
Support
Pre-deployment optimization: including web
infrastructure, database, security policies
Customized OP Platform, one click solution: provide
automatic solution for building and optimization of the
small-sized OP infrastructure, based on the
mainstream tools as saltstack and ansbile, offering
further development on demand
Monitoring and Alerting: including services,
applications, databases, networking etc.
7x24 Fault Monitoring & Automatic Alerting
Monitoring Servers： CPU Load、memory Load、 volume
Usage、 threads Status、 network interface status Applications： status/op report for
nginx 、 php、mysql, etc. DB： availability， deadlocks， error
logs， performance logs Network： traffics, responsiveness,（ ICMP response
time)
Alerting ： mail-based alerting services by user, user group, fault level
Customer Support ： standardized OP support workbench, unified fault reporting, maintenances and 7x24 emergency handling service
Alerting & Support
Light-weight Mobile ERP/CRM/HCM Solution
10x EfficiencyERP/CRM/HCM dev/deploy in DAYS
Everything Mobile Connect Everyone from Anywhere
Unparalleled FlexibilityScripts/GUI over SQL and Code
Efficient data platform
Combine RDBMS DW and Hadoop technologies to build high-performance, low-cost linearly scalable data
platform. Match business scenarios, significantly improve platform efficiency with the help of Spark
technology .
Extend data collection process for user behavior analysis via crawling information from Weibo, forums, and
other SNS sources. Mining data from customer feedback on products or services, assist business decision
and provide data-driven guidance for launching marketing activities and advertisement campaigns
Extended data collection from SNS sites
BI（ Business Intelligence） Quickly implement BI by High Cloud data scientists. Gain and analyze data from Clickstream, server logs,
CRM, CSM to obtain various report forms like sales reports, user experience reports; give insights to help
web design, work flow adjustment, and advertisement putting decisions.
SKILLS AND EXPERIENCE • Designing and integrating actionable, responsive, and highly scalable machine learning solutions that help clients
achieve their business objectives. • Developing algorithms to find salient features in a wide range of verticals including retail, education, technology,
finance, healthcare, and entertainment. • Producing auto-responsive systems that learn as data streams into the system, helping achieve the strategic goals of
customers while delivering intelligence to the end-user. • Solving large-scale machine-learning/big-data problems using distributed computing. • Extracting knowledge from data and building adaptive, context aware, recommendation engines in an online
learning framework. • Ranking functions, search quality measurement, and summarization techniques. • Creating novel context aware systems that detect and respond to anomalous transactions.
AREAS OF EXPERTISE• Machine learning in the world of heterogeneous multivariate and sparse data • Predictive analytics • Bayesian inference • Natural language processing • Deep learning
High Cloud Big Data Strengths and Capabilities
Content
• High Cloud Overview• Core Feature and Competitiveness• Industries and Solution• Successful Cases
High-tech Manufacturing• Monitoring, early warning, reporting
P2P Finance• Credit analysis, risk evaluation• Precise marketing
E-Commerce• Customer behavior & habits analysis• Cross marketing
Flexible and open structure, adjustable according to various data types and company operating process, apply to any industry and commercial demands
E-commerce Big Data Analysis Solution
BIDashboard
Analytic Engines
ETL &Storage
CloudPlatform
Azure SQLSSAS SSRS
Power BI
Software Stack Products & Services
Legacy Sys. Migration
Automatic Cloud OP
Data Import, Laundry, Pre-processTransaction
Sales history, cashier logs, …
Mobile/Web Activ.Browsing, clicks, searches, shopping cart, check-out, rating, comments,…
SNS…
Conversion Analytics•Customer Funnel Anly.•Marketing Penetration
CollaborativeFiltering
Recom. Engine
• Product Correlation• Customer Grouping
Customer Behavioral Analysis
Product Insights• Product based prediction• Shopping cart based suggestions
Consumer Insights• Customer profile building• Personalized recommendations
E-commerce Recommendation Framework
Recommendation Application
協同過濾分析(Collaborative Filtering)
Customersimilarity
轉化率分析 (Conversion Analysis)
Collect inform
ation
ProductRelationshi
p
Recomm
endation list
Recommendation Engine
Customer personalized recommendation
Transaction Info交易資料•歷史訂單資料 Order history•產品被購買紀錄 Product purchase record
Web 互動資料•瀏覽 Browse•點擊 Click•搜尋 Search•購物車 Cart•結帳 check-out•評論 RatingMobile 互動資料•下載 Download•點擊 Click•打卡 Check-in•付費 Payment•位置 Location
Social Media (3rd party feed)
Etu Appliance
Customers who viewed this product also viewedCustomers who bought this item also bought
Recommendation inside cart
Frequently bought together
Per browsing record You might also like
Customers who viewed this product at last bought
Content
• High Cloud Overview• Core Feature and Competitiveness• Industries and Solution• Successful Cases– Lenovo Ecommerce Azure Migration and Big Data Solution– Enterprise Customized ERP/CRM
HDinsight Jumpstarting Lenovo Big Data Projects
Demands:Becoming a data driven company
Gaining customer
insight
Personalized product and
service
Rapid response to the market
General client behavior
Cross-terminal access analysis
Client portrait
Merchant click analysis
Order tracking
Conversion rate optimization
UI&UE improvements
…
Objectives
“How Much….....?” High-Cloud in Lenovo Tech World2015
整合结构化与非结构化数据源 与传统数据仓库无缝连接
数据建模开发实现关键电商应用 数据可视化
基于Hadoop /
HDinsight 平台搭建
Cloud OP Deployment
Monitoring
VM Status: Memory， CPU， Storage， NetworkApplication: Interfaces， User-define status checkUser Perspective OP: 3rd party tool-kit integration
Alerting
Low: Potential production impactMedium: Impact on UE due to failure of servicesCritical: non-availability & downtime
Maintenance
24/7/365 OP Service Center
Tele-support and Email: ticket system, problem solving and precautious advices
High Cloud Big Data Implementation and Solution
Deploying Hadoop & HDinsight In Azure
Ingesting Constructed
& Non-constructed
Data
Combing DW And Big
Data Capability
Data Modeling,
Developing Application
Interactive & Dynamic
Output
1. Building an elastic data collection system in Azure for acquiring consumer behaviors.2. Quick recovery and efficient management for cold/hot data.3. Rapid deployment of non-constructed, fragmented data analysis platform for user behavior analysis based on Azure
HDInsight distributed big data services.4. Connecting data from traditional relational database and website traffics for further analysis and mining, providing
enhanced support business decision-making.
Key points
“Client portrait acquisition, related product recommendations, marketing channel conversion rate, visitor conversion analysis, churn analysis etc., these are very difficult and time consuming tasks. However, the cloud based big data platform made everything operable and quickly available. It is really a successful application of connecting cloud technology and big data, which makes Digital Go to Market department confidently fighting as vanguard in Lenovo’s transformation endeavor. We believe that the results of these data analysis will further unite Lenovo and its clients.”
-----Yuqian Wang, Director from Lenovo Digital Go to Market Department
Content
• High Cloud Overview• Core Feature and Competitiveness• Industries and Solution• Successful Cases– Lenovo Ecommerce Azure Migration and Big Data Solution– Enterprise Customized ERP/CRM
Biz-Objects
Workflows
Dashboards
More
workflows20biz-objs24dashboards6
hoursdevelop/deployment
120
iOS, Andorid HTML5,Wechat4
Case I | Petro-chem Engineering Contractor
Offline Workflows
Franchisees
B2B
B2BWarehouse
• Procurement• Inventory• Payment• Returns• …
Procurement/logistic
In-store ERP
RetailWarehouse(s)
• Sales• Returns• Recycles• Warehouses• Financials• …
Sales/inventory/finance/payroll
Payment
PaymentWarehouse
• Payable• Receivable• …
Payment/withdraw
Credit Loan
Credit/LoansWarehouse
• Mortgage• Loans• Payback• Credit Eval.• …
Loan/payback transact.
Finance/sales/payroll
Field Agents
Biz-ObjWarehouse
• Stock taking• Balance checking• Payroll update• …
Franchisee Dashboard
Risk Control Dashboard
Automated Alerts/Reports
Heterogeneous systems4Mobile/Web Workflows30
+
Management
dashboards10Custom Andorid Pad HTML5,Wechat3
hoursdevelop/deployment
160
Case II | Jewelry Retail Chain (3000+ stores)
联系信息
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