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4
	Best practices	
		Implement security mechanisms such as
secure booting, TPM or TLS
		List adjacent IoT systems for potential
future integration
	 Common mistakes	
		Not building IoT systems in a
modular manner
		Not building the IoT Solution on top of
existing standards
3
Business Case Development
Initiate the IoT project by developing the
goal/vision and ROI model
Takeaway: It is most common to start with
a business model hypothesis but some just
explore the technology to find value
How companies start their IoT projects?
64 %
Hypothesis-based approach
34 %
Explorative approach
2 %
Other
1
Proof of Concept (PoC)
Try out a number of use cases
in a small but real setting and quickly
assess the solution feasibility.
Which vendor is primarily in the
lead to coordinate your IoT solution
development?
29 %
IoT Cloud / Platform provider
21 %
No vendor, we build in-house
17 %
SI (System integrator)
13 %
Undecided
20 %
Other
Initial Pilot Rollout
Work with a pilot product or a
customer to implement the technology in
a small but real setting
DOWNLOAD NOW
COMPLETE GUIDE TO
IOT SOLUTION DEVELOPMENT
OTHER SOURCES:
INDUSTRIAL ANALYTICS REPORT 2016 / 17
https://iot-analytics.com/product/industrial-analytics-report-201617/
LIST OF 640+ ENTERPRISE IOT PROJECTS
https://iot-analytics.com/product/list-of-640-iot-projects/
SUCCESS
Takeaway: IoT Cloud / Platforms are leading
the way in coordinating the IoT Solution
Development
5
	 Common mistakes	
		Individual system components are initially
not designed to scale to thousands of
devices – requiring major redesign efforts
Commercial Deployment
Roll out the solution to
other products / customers / regions.
Where are most IoT projects currently
being realized?
22 %
Connected industry
20 %
Smart city
13 %
Smart energy
13 %
Connected car
6 %
Smart agriculture
6 %
Connected building
20 %
Other
Takeaway: Most IoT projects are currently
implemented in industrial settings and cities
	Best practices	
		Employ modern project management
philosophies like design thinking and agile
development
		Map the IoT skills gap to understand the
kind of expertise that needs to be brought in
from the outside
	Best practices	
		Perform PoCs with several vendors to
benchmark their capabilities
		Map the attack surface of the
IoT solution and work with the “security
by design” philosophy
	 Common mistakes	
		Not starting the organizational change
effort on day 1 — starting early is crucial!
		Underestimating the required time, budget,
and complexity
31-PAGE GUIDE INCLUDING:
• 	BENCHMARK OF 8 MAJOR IOT VENDORS ALONG 
15 COMPONENTS OF AN IOT SOLUTION
• 	KEY LEARNINGS FROM CURRENT IOT PROJECTS
• 	3 DEEP DIVES ON CRUCIAL IOT ASPECTS: SECURITY,
INTERCONNECTIVITY AND MANAGEABILITY
REPORT VALUE $ 999­— DOWNLOAD NOW FOR FREE
https://iot-analytics.com/product/guide-to-iot-solution-development/
White paper | September 2016
GUIDE TO
IOT SOLUTION
DEVELOPMENT
Target Audience:
IoT Business  Technical Decision Makers
Companies building IoT Solutions need a structured approach
to enhance the development process. Find out key learnings
from initial pilot projects along the 5 phases of IoT solution
development - including a high-level comparison of major IoT
solution vendors.
authored by Padraig Scully
Knud Lasse Lueth
APPLICATION
CLOUD SERVICES
COMMUNICATIONS
DEVICE
SECURITY
See the guide for a complete
comparison.
	 Common mistakes	
		Putting too much trust into one vendor‘s
in-hourse capabilities to build a scalable
solution instead of working with partners
	Best practices	
		Map the engineering requirements
across the technology stack
		Understand the ecosystem and its
capabilities for the vendor in the lead
2
Build vs. Buy Decision
Understand the engineering requirements,
the capabilities of key vendors, and
eventually choose suitable vendor(s)
How do leading IoT vendors compare?
(Excerpt)
Components	
Device
Management
Operating
System
Edge Analytics
Storage /
Database
Augmented /
Virtual Reality
Modules and
Drivers
17
Components
8
leading IoT vendors
See the guide for a complete
comparison.
= Offering available
What does the technology stack look like?
© April 2017, IoT Analytics GmbHDeveloped in partnership with Microsoft
JOURNEY TOWARDS
SUCCESSFUL
IOT SOLUTIONS

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Vulnerability_Management_GRC_by Sohang Sengupta.pptx
 

The Journey Towards Successful IoT Projects

  • 1. 4 Best practices Implement security mechanisms such as secure booting, TPM or TLS List adjacent IoT systems for potential future integration Common mistakes Not building IoT systems in a modular manner Not building the IoT Solution on top of existing standards 3 Business Case Development Initiate the IoT project by developing the goal/vision and ROI model Takeaway: It is most common to start with a business model hypothesis but some just explore the technology to find value How companies start their IoT projects? 64 % Hypothesis-based approach 34 % Explorative approach 2 % Other 1 Proof of Concept (PoC) Try out a number of use cases in a small but real setting and quickly assess the solution feasibility. Which vendor is primarily in the lead to coordinate your IoT solution development? 29 % IoT Cloud / Platform provider 21 % No vendor, we build in-house 17 % SI (System integrator) 13 % Undecided 20 % Other Initial Pilot Rollout Work with a pilot product or a customer to implement the technology in a small but real setting DOWNLOAD NOW COMPLETE GUIDE TO IOT SOLUTION DEVELOPMENT OTHER SOURCES: INDUSTRIAL ANALYTICS REPORT 2016 / 17 https://iot-analytics.com/product/industrial-analytics-report-201617/ LIST OF 640+ ENTERPRISE IOT PROJECTS https://iot-analytics.com/product/list-of-640-iot-projects/ SUCCESS Takeaway: IoT Cloud / Platforms are leading the way in coordinating the IoT Solution Development 5 Common mistakes Individual system components are initially not designed to scale to thousands of devices – requiring major redesign efforts Commercial Deployment Roll out the solution to other products / customers / regions. Where are most IoT projects currently being realized? 22 % Connected industry 20 % Smart city 13 % Smart energy 13 % Connected car 6 % Smart agriculture 6 % Connected building 20 % Other Takeaway: Most IoT projects are currently implemented in industrial settings and cities Best practices Employ modern project management philosophies like design thinking and agile development Map the IoT skills gap to understand the kind of expertise that needs to be brought in from the outside Best practices Perform PoCs with several vendors to benchmark their capabilities Map the attack surface of the IoT solution and work with the “security by design” philosophy Common mistakes Not starting the organizational change effort on day 1 — starting early is crucial! Underestimating the required time, budget, and complexity 31-PAGE GUIDE INCLUDING: • BENCHMARK OF 8 MAJOR IOT VENDORS ALONG  15 COMPONENTS OF AN IOT SOLUTION • KEY LEARNINGS FROM CURRENT IOT PROJECTS • 3 DEEP DIVES ON CRUCIAL IOT ASPECTS: SECURITY, INTERCONNECTIVITY AND MANAGEABILITY REPORT VALUE $ 999­— DOWNLOAD NOW FOR FREE https://iot-analytics.com/product/guide-to-iot-solution-development/ White paper | September 2016 GUIDE TO IOT SOLUTION DEVELOPMENT Target Audience: IoT Business Technical Decision Makers Companies building IoT Solutions need a structured approach to enhance the development process. Find out key learnings from initial pilot projects along the 5 phases of IoT solution development - including a high-level comparison of major IoT solution vendors. authored by Padraig Scully Knud Lasse Lueth APPLICATION CLOUD SERVICES COMMUNICATIONS DEVICE SECURITY See the guide for a complete comparison. Common mistakes Putting too much trust into one vendor‘s in-hourse capabilities to build a scalable solution instead of working with partners Best practices Map the engineering requirements across the technology stack Understand the ecosystem and its capabilities for the vendor in the lead 2 Build vs. Buy Decision Understand the engineering requirements, the capabilities of key vendors, and eventually choose suitable vendor(s) How do leading IoT vendors compare? (Excerpt) Components Device Management Operating System Edge Analytics Storage / Database Augmented / Virtual Reality Modules and Drivers 17 Components 8 leading IoT vendors See the guide for a complete comparison. = Offering available What does the technology stack look like? © April 2017, IoT Analytics GmbHDeveloped in partnership with Microsoft JOURNEY TOWARDS SUCCESSFUL IOT SOLUTIONS