The document is a briefing on connected analytics for the Internet of Everything, detailing Cisco's offerings and insights from industry experts. It highlights the challenges organizations face in utilizing IoT data and the importance of real-time analytics for decision-making. Additionally, the document discusses the need for new data architectures to effectively manage and analyze streaming data across diverse sources.

1. Grab some
coffee and
enjoy the
pre-­show
banter
before the
top of the
hour!

2. The Briefing Room
All Together Now: Connected Analytics for the Internet of Everything

3. Twitter Tag: #briefr The Briefing Room
Welcome
Host:
Eric Kavanagh
eric.kavanagh@bloorgroup.com
@eric_kavanagh

4. Twitter Tag: #briefr The Briefing Room
Reveal the essential characteristics of enterprise
software, good and bad
Provide a forum for detailed analysis of today s innovative
technologies
Give vendors a chance to explain their product to savvy
analysts
Allow audience members to pose serious questions... and
get answers!
Mission

5. Twitter Tag: #briefr The Briefing Room
Topics
August: REAL-TIME DATA
September: HADOOP 2.0
October: DATA MANAGEMENT

6. Twitter Tag: #briefr The Briefing Room
Outside In
Ø Centrifugal Reality
Ø Responsiveness
Required
Ø Customization
Paramount
Ø Context is King

7. Twitter Tag: #briefr The Briefing Room
Analyst: Mark Madsen
Mark Madsen is president of Third Nature, a
technology research and consulting firm
focused on business intelligence, data
integration and data management. Mark is
an award-winning author, architect and
CTO whose work has been featured in
numerous industry publications. Over the
past ten years Mark received awards for his
work from the American Productivity &
Quality Center, TDWI, and the Smithsonian
Institute. He is an international speaker, a
contributor to Forbes Online and on the
O’Reilly Strata program committee. For
more information or to contact Mark, follow
@markmadsen on Twitter or visit http://
ThirdNature.net

8. Twitter Tag: #briefr The Briefing Room
Cisco
Cisco Systems is a known leader in the design,
manufacturing and sales of networking equipment
Cisco offers Connected Analytics, a comprehensive platform
designed to deliver a complete infrastructure for streaming
analytics
The platform supports open APIs for custom solutions and
application development

9. Twitter Tag: #briefr The Briefing Room
Guest: Kim Macpherson
Kim Macpherson is the Director of Analytics Engineering
in the Data and Analytics Business Unit at Cisco
Systems. She is developing analytics technologies and
architectures for devices and fog nodes for platforms,
applications and solutions that deliver business value
for infrastructure, operations and the line of business.
She is contributing to Cisco’s software platform
strategy by embedding analytics software into Cisco
devices, creating analytics services and delivering
analytics applications to service providers, enterprises
and vertical industries through digitization and hyper-
distributed processing. Kim joined Cisco via the 2012
acquisition of Truviso, Inc., a venture-funded startup
company providing streaming real-time analytics,
where Kim was Senior Vice President of Engineering and
Business Operations. Before joining Cisco, Kim served
as Vice President of Engineering for Consumer Security
products at EMC and Vice President of Global
Professional Services at RSA Security Systems.

10. Kim MacPherson
August 18, 2015
Data and Analytics
Briefing Room

11. 2© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Data & Analytics Unlock the Value in the Internet of Everything
Data
Monetization
Customer
Engagement
Optimized
Operations
Organizational
Effectiveness
Threat
Minimization
Source: Cisco Consulting Services primary research, 2013
of the $19T IoE Opportunity over the Next 10 Years will be Realized Through Data & Analytics$7.3T

12. 3© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Getting insight from the Data is the Client’s Biggest Challenge
Data
Effectively capturing, storing,
and analyzing data generated
by connected “things” (e.g.,
machines, devices, equipment)
Things
Connecting the right “things”
(e.g., machines, devices, equipment)
to capture useful data
Process
Updating our business and
operational processes to
benefit from IoT solutions
People
Enabling workers to effectively
use IoT solutions through means
such as training and providing
user-friendly systems
1230 Respondents
Source: Cisco Consulting Services Global IoT Study, 2014
20%
27%
13%
40%
In Which of the Following Areas Does Your Organization Need to Improve the
Most to Make Effective Use of IoT Solutions?

13. 4© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Widely Distributed, Streaming, Short Shelf Life, Too Big to Move
“Most data will be
processed at the edge”
(mobile devices, appliances, routers)
Digital Enterprises See an Explosion of Data at the Edge
Three years from now, where will most data
generated by IoT solutions be processed?
1230 respondentsSource: Cisco Consulting Services Global IoT Study, 2014
37%

14. 5© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Connecting Diverse Types of Data is Required to Uncover
the Most Valuable insight
Structured Data Unstructured Data Data Streaming at the Edge
Traditional Data
Warehouse
Big Data Store

15. 6© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
However, a New Approach is Needed to Reach and Analyze
That Data
Structured Data Unstructured Data Data Streaming at the Edge
Traditional Data
Warehouse
Big Data Store
Analytics 1.0 Analytics 2.0
Hours/Minutes/SecondsDays/Hours
Analytics 3.0
Seconds/Milliseconds

16. 7© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Operational ConsistencyData Mobility Optimized Form Factors
UCS Mini
UCS
Mini
UCS for
Enterprise
UCS for Hadoop
Nexus Family
ISR
APIC EM
APMS
CGR
IE
Video
Cloud Services
and Applications
Partner Clouds
Intercloud Fog & EdgeCore Data Center
Only Cisco Delivers the Connected Infrastructure
You Need to Reach from the Data Center to the Edge

17. 8© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Integrated Infrastructure
From Data Center to Edge
On-Demand
Performance & Scalability
Integrated
Security
Unified
Management
Providing End-to-end Consistency, Performance, and Security
Across Analytic Applications
Data Center to Edge Analytics Infrastructure, Lowest Analytics TCO

18. 9© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
We are Investing in Three Ways to Turn Data from
Connected Infrastructure into Extraordinary Outcomes
Real-time Connected
Solutions3
Analytics Packages
for Optimized
Infrastructure
2
Agile & Pervasive
Data Access1
Network
Collaboration
Contact Center
Video
Sensor-based
Real-time
Location /
Mobility
Energy
Management
Threat
Analytics from Core
Cisco Competencies

19. 10© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Cisco
Solution
Support
Services
Cisco
Advanced
Services
Data
Science
Services
Partner Designed
Solutions
Cisco
Consulting
Services
Streaming Analytics Intellectual CapitalData Virtualization Work-load Automation
Agile & Pervasive Data Access
Integrated Infrastructure and Networking
Big Data & Analytics Ready Infrastructure
Real-time Connected Solutions
Connected
Analytics for Events
Connected Analytics
for IT
Connected
Analytics for Retail
Connected
Analytics for SP
Analytics Packages for Optimized Infrastructure
Cisco Connected Analytics for the Internet of Everything
1
3
Contact
Center
Video
Analytics
Threat
Analytics
Location
Analytics
Collaboration
Analytics
Network
Analytics
Energy
Analytics
2
NEW
NEW
Devices Wi-Fi Video POS Sensors Social3G/4G
Access
Wired | Small Cell | Wi-Fi
Data Center | Intercloud
Core/Edge | IoT | IoX
Mobile Packet Core/SON I
Unified Communication
Collaboration | Contact Center

20. 11© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Integrated
Streaming query processing
supports active, continuous
monitoring of live data. Get
instantaneous real-time analysis and
action, and efficient use of compute
resources.
Scalable
Offers the framework and interfaces
for use case development across a
wide variety of business and network
management functions and
industries.
React intelligently
Provides real-time insights with Big
Data views to support actionable
events and dynamic dashboards to
help you get more value out of your
data.
What is Cisco Connected Streaming Analytics?
An analytics platform delivering predictive, actionable insights in high velocity streams of live data
from multiple sources, enabling real-time governance and immediate actions. It adapts to
customer environments and use cases for a wide range of industries and business applications.

21. 12© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Ultra-fast performance,
real-time analytics
for multiple data sources
Flexible data integration
framework including
infrastructure-ready adapters
Customizable live dashboards
and reporting framework that let
you look at data your way
Reliability with high availability,
failover, and online backup and
restore
A variety of deployment
architectures for cloud, data
center and fog
Cisco Connected Streaming Analytics Offers
Seamless persistent data
management for historical
reporting, big data integration

22. 13© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
• Dynamic dashboards
• Real-time trending
• Predictive analytics integration
• Continuous queries
• Event generation
• Combine information from
network and applications
• Seamlessly query live and
historic data
• Historic reporting framework
• Complex queries from fact streams
and dimensional data
• North/south and east/west
interfaces for customization
• Multivendor extensibility
Cisco Connected Streaming Analytics Drives
Big Data FlexibilityReal-Time

23. 14© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Value of Real-Time Connected Streaming Analytics
… Enabling closed-loop use cases:
Make it actionable in real time
Make it scale without sacrificing latency
Integrate advanced predictive analytics and
machine learning
Transparently combine both live and historic data
Collect Analyze
Alert and
store Adjust
Make your data work for you
Usage data

24. 15© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Real-time Streaming Analytics
• Mine (fetch)
• Analyze
• ReportUsage Data
!
Generate an
Actionable
Event
that is sent to the
Policy System,
Management
System, etc. to
allow immediate
control
Next Generation Analytics
Applies predicates, aggregations, and joins
with metadata tables and contextual data to
identify and match trends.
Querybase Waiting for Data
Store raw data or filtered data for
further mining.
Database Waiting for Queries
Store raw data for further mining.
Traditional Analytics Model
Store first, and query later.
Usage Data
• Mine (fetch)
• Analyze
• Report

25. 16© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Alerts
Predictive
Pattern
Detection
Aggregation engine for pre-computation and reporting
Massive data reduction
Connected Streaming Analytics Capabilities
Live Data Expertise
Decouple “Data Processing” from “Result Consumption”
Immediate Consumption
True real-time streaming
analytics
Delayed Consumption
Heavy lifting in real time
Pre-aggregated results on
demand
High-cardinality analytics: Internet-scale dimensions
• Compressed bitmap aggregates for uniques
• Per-actor analysisLocation
Deviations based on history, thresholds and
cohort analysis
Dynamic model scoring, classification and
categorizing
Finding patterns and detecting complex
events
High-performance spatial indexing

26. 17© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Prebuilt Adapters Available &
Framework to easily create
other adapters
Business Data
Operations Data
Infrastructure Data
Sensor Data
Analytics for Streaming & Historical Data
Multiple Data Sources
Continuous & Interactive Query
Processing over Streaming &
Historical Data
Intelligent Actions / Events
XML, alarms …
Customizable
visualizations

27. 18© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Sample Cisco Streaming Analytics
Dashboard
Customizable Dashboards
Look at the Data Your Way
Live and Historical Dashboards
• Web-based drag and drop dashboard
design including rich navigation, drilling
and a library of filter controls.
• Custom build dashboards uniquely
tailored for your business.
• Portal and mash-up integration
seamlessly connects business analytics
with other applications.

28. 19© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Historical Reporting Capabilities
• Self-service report creation allows you to easily
select data; sort, filter, and group data; and
generate reports from a web browser
(prepackaged sample reports are provided)
• Reporting administration capabilities include:
̶ Export to PDF, CSV, XLS, and other formats
̶ Report scheduling
̶ Publishing by email or on a local server
• Customization: Drag-and-drop report creation
and impromptu reporting

29. 20© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Customization and Application Building
• Cisco Connected Streaming Analytics
supports open APIs and commercial
database methodologies to develop
solutions and custom applications
• Developers can use commercial tools and
standard APIs such as SQL, XML, and
Java to develop use cases, applications,
and system integrations
• Cisco knows the infrastructure data, and
enterprises and service providers know
their business data
Each organization
is unique and has it’s
own specific analytics
needs:
• Use Cases
• Data sources
• Customers
• Infrastructure

30. 21© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Use Case - Mobility KPI Dashboard
Connected Analytics for Mobility (CAM)
• Unique and new clients trend analysis
by date, week or month
• Real-time active session information
in real-time to identify network usage
pattern or manage promotional
programs
• Authenticated vs. unauthenticated
associations to identify potential
customers
• At-a-glance information on total data
usage to identify network anomaly or
usage spikes
• Drill down for further analysis
Product currently under development. Actual Production UI may vary.

31. 22© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Use Case - Shopper Insights: Dwell Time Analysis
Connected Analytics for Retail (CAR)
Shopper insights create
competitive advantage for
retailers- shows where, how
and why buyers make
decisions on path to purchase
• Measure shopper
engagement with product
and promo displays
• Insights into store areas
where shoppers spend
most time

32. 23© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
What can you do?
• Correlate information from multiple sources to derive
best representation of what is occurring in your stadium
• Customer Behavior Analytics, Attendance Trends & Wi-
Fi Body Language of your Fans
Benefits:
• Unprecedented insight & trends into your Fans
• Better understanding of who your Fans are
• Measure sponsor & advertisement impact and response
Use Case - Fan Behavior and Device Usage
Connected Analytics for Events (CAE)
Product currently under development. Actual Production UI may vary.

33. 24© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Horizontally & hierarchically scalable yet embeddable
Integrate advanced predictive analytics and machine learning
Immediate Insight: True real-time with low-latency
Data acquisition & mediation from the Internet of Everything
Blends live & historical sources from Big Data ecosystem
Open APIs and highly customizable: SQL, R, JDBC etc.
Connected Streaming Analytics Advantage

34. 25© 2014 Cisco and/or its affiliates. All rights reserved. Cisco Confidential
Want to learn more?
Register and attend:
Cisco Data and Analytics Conference
October 20-22, Chicago Hilton
http://cisco.com/go/daconf
Kim MacPherson, Cisco
Dir. Engineering, Data and Analytics
kimacphe@cisco.com

36. Twitter Tag: #briefr The Briefing Room
Perceptions & Questions
Analyst:
Mark Madsen

37. 11
All
Together
Now:
Connected
Analy4cs
for
the
Internet
of
Everything
Analyst
comments
August,
2015
Mark
Madsen
Third
Nature
@markmadsen

38. Copyright
Third
Nature,
Inc.
The
data
warehouse.
More
of
a
CostCo,
really.
Came
about
in
a
pre-­‐event
streaming
market

39. Copyright
Third
Nature,
Inc.
Core
idea:
centralize:
that
solves
all
problems!
But there are tradeoffs:
Creates bottlenecks
Causes scale problems
Enforces a single model
Injects latency

40. Copyright
Third
Nature,
Inc.
New
terminology:
Data
is
the
new
oil

41. Copyright
Third
Nature,
Inc.
New
terminology:
Data
Exhaust

42. Copyright
Third
Nature,
Inc.
New
terminology:
the
data
lake

43. Copyright
Third
Nature,
Inc.
There
is
a
different
assump4on
with
these
terms
“Data
isn’t
something
we
make,
it’s
just
there.”
But
the
prevailing
model
for
management
and
use
is
sJll
“centralize”

44. Copyright
Third
Nature,
Inc.
There
is
a
different
assump4on
with
these
terms
“Data
isn’t
something
we
make,
it’s
just
there.”
But
the
prevailing
model
for
management
and
use
is
sJll
“centralize”
This
won’t
work

45. Copyright
Third
Nature,
Inc.
In
a
mostly-­‐connected
world,
events
occur
in
different
4me
frames,
follow
different
cycles
of
use
19
Source:
Noumenal
Disconnected
Milliseconds
Minutes
Hours+

46. Copyright
Third
Nature,
Inc.
In
a
mostly-­‐connected
world,
events
occur
in
different
4me
frames,
follow
different
cycles
of
use
20
Source:
Noumenal
Disconnected
Every
event
is
persisted
for
some
period
of
Jme
before
it
is
forgoRen
or
forwarded
Milliseconds
Minutes
Hours+

47. Copyright
Third
Nature,
Inc.
In
a
mostly-­‐connected
world,
events
occur
in
different
4me
frames,
follow
different
cycles
of
use
21
Source:
Noumenal
Disconnected
Local
context
and
control,
local
decisions,
local
latency
Milliseconds
Minutes
Hours+

48. Copyright
Third
Nature,
Inc.
In
a
mostly-­‐connected
world,
events
occur
in
different
4me
frames,
follow
different
cycles
of
use
22
Disconnected
Source:
Noumenal
Milliseconds
Minutes
Hours+
Bigger
context,
likely
correlated,
more
complex
rules,
external
monitoring

49. Copyright
Third
Nature,
Inc.
In
a
mostly-­‐connected
world,
events
occur
in
different
4me
frames,
follow
different
cycles
of
use
23
Disconnected
Source:
Noumenal
Milliseconds
Minutes
Hours+
Broad
context,
human
intervenJon,
diagnosis
and
analyJcal
tasks
that
have
to
be
coordinated.

50. Copyright
Third
Nature,
Inc.
In
a
mostly-­‐connected
world,
events
occur
in
different
4me
frames,
follow
different
cycles
of
use
24
Disconnected
Source:
Noumenal
Milliseconds
Minutes
Hours+
Data
lives
in
mulJple
places,
at
mulJple
levels
of
detail,
for
differing
duraJons.
Unlikely
to
all
be
in
one
place.
Nor
should
it
be.

51. Copyright
Third
Nature,
Inc.
Flowing Persisted
Sliding window
of “now”
Persisted but not yet
loaded into a platform
Queryable history
Managed history
Streaming
isn’t
either-­‐or,
it’s
part
of
IT
architecture
A DB can get you to within
minutes (at large scale) but it
won’t be easy or cheap, mainly
lives in the realm of history
Event streams, in-mem
stores, CEP streaming
SQL can be used for these
Real time monitoring doesn’t use only real time data: windows, restarts,
detecting deviation, so the above boundaries are crossed.
ESB Cache/Queue Database / platform

52. Copyright
Third
Nature,
Inc.
Stream
If
you
want
to
do
real4me
and
s4ll
manage
your
data
effec4vely
then
you
need
to
rethink
data
architecture
Collect Refine Manage Deliver
Flowing Managed historyPersisted
Microservices Metadata
Metadata & reuse?
Flow,
persisted,
managed
define
different
access,
processing,
storage
and
retrieval
requirements

53. Copyright
Third
Nature,
Inc.
Rethinking
soLware
and
data
architectures
is
required.
Enterprise
IT
needs
to
be
renovated.

54. Twitter Tag: #briefr The Briefing Room

55. Twitter Tag: #briefr The Briefing Room
Upcoming Topics
www.insideanalysis.com
August: REAL-TIME DATA
September: HADOOP 2.0
October: DATA MANAGEMENT

56. Twitter Tag: #briefr The Briefing Room
THANK YOU
for your
ATTENTION!
Some images provided courtesy of Wikimedia Commons
and http://lylawarren.com/2012/06/denver-comic-con/