cisco data virtualization & connected analytics · service provider. 10 levels application 6...
TRANSCRIPT
3
Internet of Things
Internet of Things
Location of Data
Location of Data
Velocity of Data
Velocity of Data
Distributed Data
Distributed Data
StreamingData
StreamingData
DataData
Big DataBig Data
Worldwide Data Volume is Doubling Every 2 Years
CloudCloud
InfrastructureInfrastructure
ApplicationsApplications
4
Busin
ess L
evera
ge o
f D
ata
Busin
ess L
evera
ge o
f D
ata
DataData
� Agility
� Cost Reduction
� Competitive Advantage
� Agility
� Cost Reduction
� Competitive Advantage
ObjectivesObjectives
25% of big data implementations will fail to deliver business value resulting from performance problems due to inadequate network infrastructure.
6
• Cisco has deep experience analyzing varieties of Big Data from its own global operations to improve business and customer outcomes
– Contact center analytics – Cisco TAC
– Collaboration analytics on Cisco’s own operations
– Data warehouse offload
• Cisco technologies drive customer Big Data analytics– Cisco data analytics platform – easily consumed analytics and
visualizations
– Cisco Data Virtualization – unified view of diverse data for analytics and applications
– Cisco Prime Real-Time Analytics – streaming and IoT applications
7
Channel Profitability Analysis
Customer Profitability Analysis
360 Degree View of Customer
Marketing Campaign Analysis
Sales Force Automation
System (Legacy)
Campaign Management System
Sales Force
Automation System
(Cloud)
Trades and Asset
Management System
(Cloud)
Sales Force
Automation System
(Cloud)
Trades and Asset
Management System
(Cloud)
Investment Account Master
Website Clickstream Data Store
Email Management System
� Better business insights� Faster response times� Cost savings through streamlined approach
� Better business insights� Faster response times� Cost savings through streamlined approach
Data VirtualizationData Virtualization
9
Packaged, network-enriched analytics leverage Cisco network technologies and data for targeted verticals
Retail
Store operations and customer service
Collaboration
Organizational effectiveness, collaborative selling
Contact Center
Personalized contact center service in real-time
Network
Optimized networks for service agility
Cisco Connected Analytics Solutions
Customer stickiness and operational efficiency
Service Provider
10
Levels
Application(Reporting, Analytics, Control)6
Data Abstraction(Aggregation & Access)5
Data Accumulation(Storage)4
Data Element (Analysis & Transformation)3
Connectivity(Comm & Processing Units)2
Physical Devices(The “Things” in IoT)1
Data at Rest
Data in Motion
Sensors, Devices, Machines,Intelligent Edge Nodes of all types
TargetedSolutions
Center
Edge
UCS, Switches,Routers
Data in Motion
Data Virtualization
VerticalIndustry
Solutions
PrimeAnalytics,Whiptail
11
Data Abstraction
(Aggregation & Access)5Cisco Data Virtualization
1. Provide views of data in the manner that applications want
2. Combine data from multiple sources, simplifying the application
3. Filtering, selecting, projecting, and reformatting the data on behalf of the app
4. Reconciling differences in data shape, format, semantics, access protocol, and security
CIS
UCS
Abstracting the data interface for applications
13
� Improve overall risk management operations
� Improve information and report quality, improve data accuracy
Objective
� Data scattered with varying levels of quality
� No consistent method of providing an aggregated view of financial activities
Challenges
� Pull the data once and reuse it many times
� Eliminate enterprise applications going directly to the data sources
� Create a mapping between the virtual schema and the logical model that is used for data governance
� Provide a centralized repository for data quality
� Map from the virtual to the physical schema’s for audit and data lineage
Solution: Cisco Data Virtualization Suite
� Improve employee productivity and reduce costs
� Improve information and report quality
� Reduce the number of data audits
� Reduce the number of data loaders
� Reduce the operating costs by facilitating the consolidation of systems
Results Cisco Information ServerCisco Information Server
Credit Risk Market Risk Trade Compliance
BORTSystems
ReferenceData
PurchasedData
LOB Data
14
� Revenue growth: the business wanted to increase the effectiveness of upsell programs
� Looking for trends in customer behavior to drive marketing insights for email campaigns
Objective
� Want to analyze integrated collection of clickstream data, system usage data, and dimensional data for PlayStation 3
� Analysis frequency is extremely limited
� Calculations can only be run once/month or once/week; need this data daily
� Combine different data sources and make it look like unified source; limit replication
Challenges
� A flexible data model/abstraction layer across all source systems
� Bridge dimensional data from Exadata with clickstream data and system usage data from Hadoop
� Enhanced agility through a flexible data delivery infrastructure
Solution: Cisco Data Virtualization Suite
� $9M revenue increase due to business value acceleration
� IT staff savings of $415,000 on first project
� Infrastructure cost avoidance of $304,000 on first project
� 7.2x ROI in first year
Results Cisco Information ServerCisco Information Server
EcommerceAnalysis
System Usage Analysis
SegmentationAnalysis
Exadata SQL Server Oracle
15
� The IT Problem: Spend on storage growing far faster than budget allows
Objective
� Business Data User Problem: “I don’t care where the data is coming from, or where it is stored, but I do care when I see critical project estimates and durations exceeding my ability to pay or to wait on results!”
� There are 2 major enterprise data warehouses: Wireless and Wireline; 20 additional DW’s; total = 20 PBs
� Source DW cost = $100K/TB; destination data lake = $2K/TB; Migrating a typical set of tables from source to target might take an average of 10 months.
Challenges
� With Cisco Information Server, an abstraction layer can be built and consuming connections much more easily made to this layer, requiring half the time.
� One Example Project: one set of tables is growing at 10TB/mo; beginning after 10 months the savings will be $980K/month
Solution: Cisco Data Virtualization Suite
� 4-5X times faster to build a virtual solution
� 5 months early migration yields $4.9M for just this one migration project.
Results
Director of Data Strategy and Support
“When the business have a new data source or federation project, we can now deliver results in 1/5th the time. Even if we eventually take the data to the warehouse, total data
integration project costs are still 50% of the old direct-to-warehouse solution.”
Director of Data Strategy and Support
Cisco Information ServerCisco Information Server
Billing Analysis Ordering Analysis Customer Care Analysis
Wireline Data Wireless Data Customer Data
16
Initiative
◦ Bank-wide Data Virtualization
Challenges
◦ Up-to-the-minute information needed for multiple risk management, trade order management, and debt/equity market research applications
Solution
◦ Bank-wide Data Virtualization Layer via a services-oriented-architecture using Composite accesses, abstracts and delivers required data
◦ 25 applications, 200+ Sources
Results
◦ 250% ROI in 3 months elapsed time
◦ 2% revenue increase within Corporate Investment Bank
◦ 50-60% reduction in integration design and development time for new applications and portals
◦ 25% increase in object reuse for downstream BI reporting projects
“Typically, data integration is 50% of the elapsed time of each of our large portal and applications projects. We are able to cut the data integration development time by 50-60%
using the Composite Information Server.”
VP, Corporate Investment Banking Technology
Product Data(Sybase)
Coverage(SQL Server)
Holdings &Offerings
ReferenceData
(Teradata)
Trade OrderManagement
RiskManagement
Debt / EquityMarket Research
Cisco Information ServerCisco Information Server
17
� Improve the speed and quality of risk and compliance analytics.
� Access and combine a vast variety & volume of data, including semi-structured and structured data, and make historical data queryable.
Objective
� Residential mortgages are very sophisticated products in the financial industry, with many complex interactions.
� Extended lifecycle of a mortgage contributes to complexity; each step in the process involves multiple systems, parties, and relationships.
Challenges
� Single provisioning hub, presenting data view from multiple underlying data stores.
� Provide snapshots of detailed loan data for response to audits, inquiries and disputes.
� Provide access to complete data without need for traditional suite of tools.
� Provide accurate and consistent information to Regulators, avoiding penalties.
Solution: Cisco Data Virtualization Suite
� Respond swiftly to business events.
� Reduced number of provisioning points from greater than 100 to less than 20.
� Reduced cost to acquire, provision and consume data.
� Moved from 70% time spent in data acquisition to 70% data usage and delivery.
� 60% reduction in infrastructure costs.
Results
Cisco Information ServerCisco Information Server
Loan Servicing Operational Analysis
Regulatory Reporting
Reference/ Master Data
Risk Finance Data TransactionsMortgage Data
18
Traditional Analytics Days, Hours
Single Data WarehouseTraditional
Data WarehouseTraditional
Data Warehouse
Structured DataStructured Data
Big Data Store
Big Data Store
Fast DataFast Data
Unstructured Data
Unstructured Data
Big Data AnalyticsHours, Minutes
Multiple Data Sources
Next Generation AnalyticsSeconds, Milliseconds
Data Everywhere
RFID
Real-time,
StreamingIntelligent Network
DVDV
19
HCS
MicrosoftSuite aaS
DRaaS
PaaS
IaaS
EnterprisePrivateClouds
Public Clouds
Partner CloudsCloud Services and
ApplicationsInterCloud Fabric
APIs
Portal
APIs
APIsOpenStack
Meraki
Security
Analytics
vDesktop aaS
WebEx
HANA aaS
IOE aaS
Collaborationand Video
Big Dataand Analytics
Native CloudApplications
EnterpriseWorkloads