the internet of things and enterprise networks: planning, engineering, and operational strategies

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IT & DATA MANAGEMENT RESEARCH, INDUSTRY ANALYSIS & CONSULTING The Internet of Things & Enterprise Networks Planning, Engineering, and Operational Strategies Shamus McGillicuddy Senior Analyst EMA @ ShamusEMA

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IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

The Internet of Things

& Enterprise NetworksPlanning, Engineering, and Operational Strategies

Shamus McGillicuddy

Senior Analyst

EMA

@ShamusEMA

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Today’s Speakers

Slide 2 © 2017 Enterprise Management Associates, Inc.

Shamus McGillicuddy

Senior Analyst

Shamus has more than 10 years of experience in the

IT industry, primarily as a journalist covering the

network infrastructure market. At Enterprise

Management Associates (EMA), he is the senior

analyst for the network management practice.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Logistics for Today’s Webinar

Slide 3 © 2017 Enterprise Management Associates, Inc.

An archived version of the event recording will be

available at www.enterprisemanagement.com

• Log questions in the chat panel located on the lower

left-hand corner of your screen

• Questions will be addressed during the Q&A session

of the event

QUESTIONS

EVENT RECORDING

A PDF of the speaker slides will be distributed

to all attendees

PDF SLIDES

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Sponsors

Slide 4 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

The Internet of Things

& Enterprise NetworksPlanning, Engineering, and Operational Strategies

Shamus McGillicuddy

Senior Analyst

EMA

@ShamusEMA

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Agenda

• IoT Research Goal and Methodology

• Snapshot of IoT Projects

• IoT Networking Strategies

• IoT Networking Challenges

• Meet the IoT Challenge: Best Practices for the Network Team

• Conclusion

Slide 6 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

IoT Research Goal and Methodology

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

IoT Research Goal

• Connectivity strategies

• Service assurance strategies

• Networking challenges

• Best practices

Understand the network infrastructure team’s role in enterprise IoT initiatives

Slide 8 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

IoT Research Methodology

EMA surveyed 100 North American enterprise IT professionals.

Slide 9 © 2017 Enterprise Management Associates, Inc.

• Responsible for designing, building, and managing networks

• Directly involved in at least one IoT initiative

• 89% were involved in multiple IoT projects

All respondents were…

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

IoT Research Methodology

Demographics

• Role

• 42% IT executive suite

• 58% IT staff

• Company size

• 54% midmarket (1,000–9,999 employees)

• 46% large enterprises (10,000+ employees)

• Vertical

• 20 vertical industries represented

• banking/finance/insurance (15%)

• application/cloud/managed service provider (10%)

• education (9%)

• manufacturing (9%)

Slide 10 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Snapshot of IoT Projects

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Most Popular IoT Use Cases

49%

Productivity & efficiency in operations

45%

Improved customer self-service based

on device usage

45%

Predictive maintenance

pattern development

42%

Productivity & efficiency in supply

chain

40%

Automated service execution based on

event triggers

Slide 12 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Top Connected Devices in IoT Projects

44%Infrastructure devices

•HVAC controls

•lighting

41%Personal goods

•smartphones

•wearables

38%Commercial devices

•barcode scanners

•point of sale

34%Manufacturing devices

34%Banking and financial services devices

Slide 13 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

IoT Networking Strategies

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Enterprises Leverage Existing Networks

and Build New IoT Networks

• General approach to delivering IoT connectivity

• 47% use existing LAN infrastructure

• 46% use new LAN infrastructure for IoT

• 47% use existing WAN infrastructure

• 36% use new IoT-specialized WAN services (LoRaWAN networks, etc.)

• 32% acquire IoT connectivity packaged by device manufacturer or IoT

solution provider

• Primary approach to delivering IoT connectivity

1. Existing LAN (26%)

2. Existing WAN (23%)

Slide 15 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Network Technology Used for IoT Connectivity

Slide 16 © 2017 Enterprise Management Associates, Inc.

59%

52%

45%

44%

34%

30%

24%

23%

23%

22%

22%

18%

11%

7%

Wireless LAN (Wi-Fi)

LAN Ethernet

Bluetooth

Wireline WAN (MPLS, broadband, etc.)

Public cellular (3G/4G/LTE)

IoT cellular (LTE-M, NB LTE-M, NB-IoT)

Carrier or municipal Wi-Fi

Satellite

Radio frequency (RF) mesh

Low-power Wi-Fi

Microwave

LoRaWAN

SigFox

Zigbee

Sample Size = 100, Valid Cases = 100, Total Mentions = 414

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Network Monitoring Tools Most Valuable

for IoT Performance Monitoring

Slide 17 © 2017 Enterprise Management Associates, Inc.

32%

23%

16%

16%

15%

15%

15%

14%

13%

10%

3%

0%

Network flow monitoring (e.g., NetFlow, IPFIX)

Public/private cloud monitoring

Reports and metrics supplied by commercial IoT solution/managedservice providers

Reports and metrics supplied by network services providers

Log analysis

Device metric monitoring (e.g., SNMP, WMI, device APIs)

Synthetic transaction analysis from remote sites

Interpreted packet flow monitoring (wire data, packet metadata analysis)

Observed endpoint transaction monitoring (e.g., agents deployed on IoTdevices)

Raw packet analysis

Do not know

Other

Sample Size = 100, Valid Cases = 100, Total Mentions = 172

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

IoT Networking Challenges

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Enterprises’ 6 Biggest IoT Network Planning

and Engineering Challenges

Managing network addresses (27%)

Projecting volume of data produced by IoT devices (26%)

Predicting traffic patterns (25%)

Modeling security threats to IoT devices (25%)

Managing software lifecycle of IoT devices (24%)

Modeling security threats to IoT data in motion (24%)

Slide 19 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

IoT Device Constraints and IoT Project Scale

Threaten Security

• Top networking challenges associated with IoT device constraints

1. Channel-based security techniques unsupported (36%)

2. Resource discovery ineffective (30%)

• Network resources most challenged by scale of IoT ecosystems

1. Network security infrastructure capacity (47%)

2. IP address management (30%)

3. Network bandwidth (30%)

Slide 20 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Top Challenges to Effective IoT Network Monitoring

Slide 21 © 2017 Enterprise Management Associates, Inc.

26%

23%

22%

21%

21%

19%

18%

16%

3%

Scalability - too many devices connected

Rogue device detection

Monitoring granularity - bursty traffic requires shorter monitoringintervals

High rate of change

Configuration of monitoring profiles

Unsupported IoT protocols

Device discovery

Visualization/mapping of IoT service delivery dependencies

Do not know

Sample Size = 100, Valid Cases = 100, Total Mentions = 169

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Meet the IoT Challenge:

Best Practices for the Network Team

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTINGSlide 23 © 2017 Enterprise Management Associates, Inc.

46%

35%

19%

0%

0%

0%

0%

13%

44%

35%

6%

2%

0%

0%

0%

9%

73%

9%

0%

9%

0%

Extremely successful

Successful

Somewhat successful

Neutral - neither successful nor unsuccessful

Somewhat unsuccessful

Unsuccessful

Extremely unsuccessful

Enterprises rated their network team’s success with IoT initiatives

Network team plays leading role in all initiatives.

Network team plays leading role in some initiatives and supporting role in others

Network team plays supporting role in all initiatives.

Sample Size = 100

1. Seize a Leadership Role in IoT

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

2. Partner for IoT Success

• Top internal IoT partners for network teams

1. IT Service Management (35%)

2. Security (29%)

3. IT Architecture (28%)

• External partners critical to success of IoT initiatives

1. Network operations software vendors (43%)

2. Network hardware vendors (35%)

• Least important IoT partners

System integrators (21%)

Business/enterprise consultants (3%)

Slide 24 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

3. Make the Right Architectural Choices

• The most successful network teams were

• 2.5X more likely to use distributed analytics at the IoT edge

Top use cases

Improved system reliability (29%)

Expanded real-time analysis of data (21%)

Reduced security risk (19%)

• 2.5X more likely to use IoT gateways

Top use cases

Edge computing/analytics (57%)

Encryption/decryption (50%)

IoT device control & management (47%)

Slide 25 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

4. Make the Right Management & Monitoring Choices

• Extend existing network monitoring tools to IoT devices

• 77% of most successful network teams

• Real-time analytics in monitoring tools is essential

• 80% of successful teams say IoT requires faster analysis of network data

2X more likely to apply this to IoT infrastructure automation

• Watch out for network visibility gaps

• 52% said IoT has created or worsened blind spots in network monitoring and

service assurance

Consequences of these network visibility gaps:

Customer churn (44%)

Security breach (40%)

Slide 26 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

5. Integrate IoT Solution Providers Into Connectivity

and Service Assurance Strategies

• Don’t source all the connectivity yourself

• Successful teams were 3X more likely to acquire connectivity via IoT

solution provider

Leverage packaged connectivity for non-strategic assets (smart meters)

Source your own connectivity for strategic assets (transformers, power

plants)

• Leverage reports/metrics from IoT solution providers for

service assurance

• Successful teams were 5X more likely to do this

• Can your network monitoring and service assurance vendors consume

these metrics?

Slide 27 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Conclusion

Slide 28 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Wrapping Up

• Network teams leverage existing and new infrastructure for IoT

• But existing infrastructure is the primary focus for these groups

• Network teams face multiple challenges throughout project lifecycle

• Security is a top issue at every stage (modeling threats, scaling security

infrastructure, securing devices and data)

• The network team must seize a leadership role …

• Partner with network operations software vendors for success

• … and make the right architectural and management decisions

• Use IoT gateways and distributed IoT analytics

• Watch out for visibility gaps

• Leverage real-time analytics of network data

Slide 29 © 2017 Enterprise Management Associates, Inc.

IT & DATA MANAGEMENT RESEARCH,

INDUSTRY ANALYSIS & CONSULTING

Question and Answers

Slide 30 © 2017 Enterprise Management Associates, Inc.

Report available at:

http://bit.ly/2pAcR13