With the explosion of data from the proliferation of cloud services, mobile devices, and the Internet of Things, high-performance networks are essential for the rapid delivery of advanced business services and for accelerating insights from big data analytics. Is your network ready? Visit our website for more information: http://www.cisco.com/ca/

2. Cisco Analytics: Accelerate Network
Optimization with Visualization
B-SER-26-B
June Zheng, Technical Marketing Engineer

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Agenda
 Big Data and Analytics to Meet Changing Customer Expectations
 Why Apply Analytics to Networks?
 Analytics for Network Deployment and Optimization

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Does Your Network Deliver Services and Insights
Fast Enough?
Mobile
Social
Cloud
Enterprise
Sensor
• Ever-present connectivity and cloud services are
setting customer expectations for all types of
services
• There’s a greater need for immediacy, quality,
and consistency in networked customer services
• Is your network delivering services with the
speed, quality, and consistency customers
want?

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Cisco Analytics: Network-Leveraged Insights
• Network data- and metadata-enriched analytics for common vertical use cases
• Data and decision science services for unique use cases
Collaboration
Contact
Centers NetworksRetail
Service
Providers
Customer service
and operational
efficiency
Store operations
and customer
service
Organizational
effectiveness,
collaborative
selling
Personalized
contact center
service
Network resilience
and service agility
Cisco Data
Virtualization
Cisco Prime Real-
Time Analytics
Cisco Decision
Science
Cisco Intellectual
Capital
Data and Decision
Science Services
Cisco
Analytics

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Why Do Big Data and Analytics Matter?
 Companies are turning to Decision Science
based on Big Data to improve network
resilience and service agility
 Sources of Big Data include network data
sets like syslog and configuration files
 Big Data analytical tools accelerate:
– Cleansing, enriching and analysis of data
– Retrieval, search, integration, visualization
Big
Data
Configuration

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Analytics Reveal Hidden Patterns Impacting Network
Deployment and Optimization
Analytics Insight
Correlate service call data with device
configurations
Discover devices that cause excessive service calls
Correlate historical data on device
deployment with incident histories
• Trends improving or not?
• Deploying devices correctly for the required
service(s)?
Cluster devices in similar network roles
and compare deployment postures
Pinpoint outliers: non-standard configurations,
software versions, and feature sets
Correlate device data with EoX, PSIRT,
field notice bulletins, and customer
configurations
Find devices out of compliance with standards and
best practices

8. What does this look like in the real world?

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• Enablement  Validation  Troubleshooting
• Heavily utilize CLIs on Cisco devices
• Feature release roadmap for future planning
Conventional
Analytics -- A Different Technical Experience …..
Analytics Experience
• Automated or manual data collection
• Data processing in the backup
• Data interpretation to gain the insight
What can you do on your
network and how to do it?
Network Analytics
What can you learn from your
network?
What should you do on your
network?

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Analytics – Enables a New Way to Measure Networks
10
Cisco Network Analytics analyzes data on network infrastructure:
Service Provider Core
Service Provider
Aggregation Edge
Enterprise
Premise Edge
Enterprise BackboneAccess
Network Devices Network TechnologiesNetwork Software
Network Deployment Measurement via Consistency, Complexity, and Disruption Indexes
Network Health Measurement via Network Performance Index
Trend indication, Peer Comparison, and Industry Benchmarking

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Network Disruption Index Network Consistency Index Network Complexity Index
A measure of a severity of
network disruption
 Data Source:
Cisco Service Request Data Base
 Algorithm derived from
o Service request severity
o Time to resolution
o Escalation level
o Outages
 Benchmark against yourself,
peers, and industry with trend
report
 KPI granularity:
o Network vs. HW/SW/Operations
 Between 1 - 10
A measure of how devices
performing similar functions are
similarly deployed
• Data Source:
Customer Network Data
• Algorithm derived from
o Device HW choices
o Device software choices
o Technology configurations
• Benchmark against yourself
• KPI granularity:
o Network vs. Families/Roles
• Between 1 – 1000
A measure of number of features
enabled with different complexity
weights
• Data Source:
Customer Network Data
• Algorithm derived from:
o Features enabled
o Feature complexity weight by
domain experts in Cisco
• Indication of network technology
enablement
• KPI granularity:
o Network vs. Families/Roles
• Between 1 – 1000
Analytics -- Network Deployment KPIs:

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Analytics – Network Deployment KPI Correlation
12
Network
Complexity
Index
Network
Consistency
Index
Network
Disruption
Index
If you have a highly complex network, what are the
expectations on Consistency and Disruption
Indexes?
If your network is not stable at the level your
business requires, what may you see from
your consistency and complexity indexes?
If your network consistency is improved by
recent SW consolidation, what may you also
experience from your network disruption
and complexity indexes?

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Compliance Management
Risk
Management
Problem
Management
Network Performance
Index
CONFIG BP CUSTOM CNFG SW COMP SYSLOG AUDITPSIRT HW Field Notice HW EoX
Analytics  Network Health KPI:
 Tracks the progress of business critical deliverables – Compliance, Risk and Problem Management
 Benchmark against yourself
 Scored between 0 – 100
Data Source:
Customer Network Data
Algorithm derived from:
o Network exceptions
o Cisco best practice
A Measure of how well your network scores against
Cisco Best Practices

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Analytics – What Beyond KPIs ….
14
NI July
2012:855+
NI Feb
2013:535
Compare NOW with PAST
(Consistency Change Management)
Use HISTORY to predict FUTRE
( Disruption Trend Analysis)
Position yourself in competition
( Disruption Peer Comparison &
Industry Benchmark )

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Analytics – Data Sources and Processing
(Cisco Service Request Data)
Customer
Network
Network Incident
Report
Business User
Opens up a SR
Analyze
Cisco
TAC
Cisco
Data Center
Data Analysis
Engine Web
Portal
Access
Cisco ICDatabases
Which KPI uses Cisco Service
Request as data source?

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Cisco
Data Center
Customer
Network
Collector
10010111001010011101011001110
11001001010111100110101100111
01101010111011001010110011101
SECURE
Analytics – Data Sources and Processing
(Customer Network Data)
Data Collection
Data Process
(Validation, Analyze)
Business User
Report
Which KPIs use Customer
Network Data as data source?

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End-to-End Security
Transport to Cisco Data Center:
- AES 128-bit data encryption, and HTTPS or SSL
connection
- Sensitive credentials removed before transport
Collector on Customer Network:
- Hardened
- No root access
- Password policy enforcement
Cisco Data Center:
- Only accepts connections from registered
systems
- Secure Cisco IT lock-and-key facility
Network Analytics Portal
- Cisco.com credentials
- User can see only their data
100101111111001101
1001110101111111110
100101111111001101
1001011110111011011111001101
10011100101010001101111111110
1001011110111011011111001101
SECURE
Secure
Transport
Cisco
Collector
Customer
Network
Cisco
Data Center
Network
Analytics Portal
“Will my data be secure?”

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Any Questions?
18

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Analytics – Network Deployment Use Case:
19
Your network is
dynamic on
technology, size,
HW, etc.
Communication
challenges on the
progress and
priority
Need a multi-dimension
approach to analyze my
entire network
Need a simple but
powerful report to
management team
Minimizing network
disruption is time &
resource consuming
Need an automated
way to pinpoint and
prevent problems

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Solution – Cisco Analytics for Network Deployment
20
Learn from your network about what needs to be done first and apply your
knowledge to deliver
 Enable Data Collection
 Gain analytics portal access
 Periodical network deployment analytics exercise
1 Get disruption index and trend
2 Get disruption peer comparison
3 Get Consistency and Complexity Scores
4 Identify Consistency outliers
5 Prioritize top outliers
6 Fix top outliers on SW and configuration
7 Generate report
 Aggregate report and track the change activities

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Step 1: Get Network Disruption Index
21
• Highs and lows indicate network instability
• Allows you to select the most disruptive hardware and SW by product families
• Granularity further classifies the hardware, software and operational disruption
percentage

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Step 2: Get Incident Benchmarking
22
• Provides insights about peer and industry network stability

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Step 3: Getting consistency and Complexity Indexes
23
• Higher consistency score means better
consistency
• Low complexity score means less complex
network
• Network consistency (999/1000) =
hardware (333) + software (333) + feature
(333) consistency indexes
• Total 4 Network Consistency Indexes

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Step 4: Finding Inconsistent Devices (Outliers)
24
• Drill down displays outliers within
specific groups of devices or
functional roles
• Product family view also available for
roles
• Score also determines focus area
Low
consistency
score

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Step 5: Prioritize the Top Device Outliers
25
• Further drill-down displays the actual
device outlier(s)
• Provides ability to find out if it’s
hardware, software or feature outliers

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Step 6-1: How to fix these outliers? – Software
26
Device details view provides insight into next steps and possible remediation
Software analysis
recommends a
different image
than the one
currently deployed

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Step 6-2: How do I fix these outliers? – Features
27
Detailed configuration comparison
with policy configuration or
historical versions
Provides insights about feature
change
Allows policy flagging to manage consistency and complexity

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Change Analysis and Tracking
28
Historical change analysis
allows you to detect any
network changes and
control risk
Provides complete visibility
of hardware, software and
feature changes
See the impact to
consistency of any change

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Change Analysis and Tracking – Feature Changes
29
75 feature changes on
186 devices between
July’12 and Feb’13
Shows the exact
breakdown by feature
Feature changes have
negative impact on
feature consistency
Impacts overall network
consistency
High
200/333
Low
200/333

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• Leading telecom in U.S. with 45 million+ customers
• IP network supports 12K+ businesses
• Diverse customer base causes fragmentation in network devices and software versions
• Complexity and instability in networks hinder business operations
Situation
Analytics – Network Deployment Customer Story
Goal Standardize software versions across all Cisco GSRs and stabilize configurations in the network
Telecom Giant Revitalizes Network Using Cisco Network Analytics
Benefits
+13%
Customer Satisfaction
Network
Consistency
+12.5%
Network
Disruption
-62%
Enhanced Operational
Productivity
and Quality

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Any Questions?
31

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Analytics -- Configuration Best Practice Compliance Use case
32
How do I identify network
exceptions automatically:
Devices with non-recommended
configurations or software release,
EoX devices,
Devices with PSIRTs
Based on these
network exceptions,
how do I rate my
network?
How do I prioritize and
fix these issues and
report to my
management?

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Solution – Cisco Network Performance Analytics
33
 Enable data collection
 Gain analytics portal access
 Periodical network health analytics exercise:
1 Get NPI score
2 Identify network exceptions
3 Filter network exceptions
4 Prioritize and create project
5 Remediate
6 Report capability (executive dashboard)
 Measures and tracks risk and compliance over time
 Improves policy and best practice compliance
 Automated network improvement plan for project
and resource planning

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Step 1: Get Network Health Index (NPI)
34
• All published device exceptions (the ones you care about most)
• Exceptions are weighed
• Deliverable weight impacts your score
• Device importance impacts your score
• Attributes impact score
• Trend allows you to monitor the progress
This is your score and not a generic algorithm

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Step 2: Viewing all network exceptions
(Network Improvement Plan)
35
• Shows all network exceptions – source, impacted device, history, status and more

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Step 3: Filtering Exceptions Based on Business Need
36
• Several Exception filtering
options
• Network element criticality
• Exception priority
• Deliverable priority
• Key Performance Indicators
• Exception Attribute priority
• Hostnames, IP, OS and more

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Step 4: Prioritize, Create, and Assign Projects
37
First filter your critical
exceptions
Create and assign
projects
Export available for reporting

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Step 5: Remediate
38
As exceptions are resolved, NPI scores improve

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Step 6: Metrics and Reporting – Impact on Network Health
(Executive Dashboard)
39
• Computed score from all
network exceptions against
Cisco Best Practices
• Scores between 0-100
• Measures and tracks the
progress of business
critical deliverables –
Compliance, Risk and
Problem Management
• Higher score reflects better
compliance to Cisco Best
Practices
One look at the Executive Dashboard and you instantly know how well your network
scores against Cisco Best Practices

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Any Questions?
40

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Key Takeaways
41
 Customer use of mobility, social media, video, telemetry, and cloud services
increases demands on your networks
 Network Analytics – Learn from your network and prioritize your network
optimization activities
 Cisco’s visualization analytics deliver faster insights than scripts/spreadsheets:
 Lower your operational costs by improving network consistency and tracking network
changes
 Reduce network downtime and optimize policy and best practice compliance
 Minimize network disruptions and gain competitive edge against peers
“When you think of network optimization, think Cisco Analytics”