The document provides information about an IoT implementation strategy presentation. It begins with an agenda that covers topics like IoT introductions, pilot statistics, revenue opportunities, implementation pitfalls, strategies, architectural considerations of build vs buy, choosing platforms, and a case study. It then discusses each topic in further detail with statistics, frameworks, scorecards, and an example case study of a successful IoT implementation for an access control company.
2. KELLTON TECH, A PIONEER OF DIGITAL TRANSFORMATION
4
Foundation
2009
Footprint
USA, UK, Ireland, Singapore and India
Clients
Startups to Fortune 500
Core Strength
People and Technology
ISO 9001:2015 & CMMi Level 5
Ownership
Public Limited
BSE, NSE: KELLTONTEC
Team
1500+ Employees
McLean | Princeton| Jersey City | Chicago | Houston | Cupertino | Dublin | London
Singapore |Delhi | Hyderabad | Kandla |Pune
2
3. 3
GLOBAL EXPANSION AND ACQUISITIONS
Experienced management with pedigree from premier institutes Wharton, Kellogg, NITI, IIT’s and IIM’s
4. Siva Subrahmanyam Chavali
Sr. Architect, Kellton Tech
Solutions
Sean Riley
Global Director for
Manufacturing, Software AG
&
Speakers:
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5. 5
• IoT Introduction
• IoT Pilots Statistics
• Revenue Growth Opportunities using IoT
• Top 4 IoT pilot Implementation Pitfalls
• IoT Successful Implementation Strategies
• Architectural Considerations
• Build vs Buy
• Choosing the right IoT Platform
• Software AG IoT Challenges.
• Manufacturing Industry IoT Use cases.
• Kellton Tech Expertise & Value Proposition
• IoT Centre of Excellence
• Case Study – Implementation Strategy
Agenda
6. The Internet of Things, as the name suggests, is a combination of the
internet and things. The internet provides the capability to connect while
things (e.g. Edge Devices) capture the data and transfer it for further
analysis. So IoT is basically an ecosystem of connected physical devices
that are accessible through the internet and have the ability to collect and
transfer data over a network without manual assistance or intervention.
Each IoT solution is a
combination of some of
these “must have”
components.
SENSORS &
ACTUATORS
COMMUNICATION
CHANNEL
DATA COLLECTION OVER
CLOUD
INFORMATION DELIVERY
APPLICATION
6
Internet of Things (IoT) Introduction
7. InsuranceAutomotive BuildingsIndustrial
products
Travel &
Transport
Electronics Retail Energy and
Utilities
Aerospace &
Defense
Manufacturing
Connected
Car
Predictive
Maintenance
Connected
Fleet
Connected
Elevators
Wearables
for Worker
Safety
Digital Twin Manufacturing
Quality
Connected
Appliances
Store
Wellness
Smart Grid
Asset Health
Internet of Things (IoT) Introduction - Continued.
CONNECTING THINGS TO DELIVER DIGITAL EXPERIENCES USING THINGS
7
8. IoT in Action – across Industries & Regions
0
10
20
30
40
50
60
70
(IoT realization in % - Industry)
(IoT realization in %)
0
5
10
15
20
25
30
35
40
45
50
North
America
EMEA APAC
(IoT realization in % - Region)
(IoT realization in %)
8
9. IoT Pilot Implementations & Value Statistics
• 70% of the companies are failing to capture the value from their IoT Pilots
& the pilots are too slow*
• 85% of companies spend more than one year on pilots while 28% of
companies are spending more than 2 years & yet, they are still not
successful at capturing the business value desired*
• 60% of enterprises do not have the analytics capabilities to take
advantage of the data generated from IoT*
* Stats were collected from various sources.
9
10. After a successful IoT
implementation, an organization
becomes:
• More Connected
• Analytically Capable
• Highly Secure
• Strongly Cognitive
8.6%
11.0%
12.1%
16.8%
Connected
Data First
Secure
Cognitive
Key Business Measures
Increase
Operational Efficiency
Reducing cost of materials,
Productivity of Workforce
Faster time to Market & Lower Dev Costs
Assets Productivity &
Predictive Maintenance
Customer
Satisfaction & Loyalty
Quality of Service /
Product
Unique / Differentiating Value Proposition
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Empower
Sales & Marketing Channels.
Up sell / Cross Sell products
Enablement of
New Business Models
Explore Hidden Business territories
Revenue growth opportunities with IOT
11. Top 4 Common Pitfalls of IoT Pilot Implementations
• Focusing on Technology over Strategy & Vision towards Business Goals
• Strong Business Use cases / Problems
• Lack of Vision on RoI
• Narrow Focus & Lacking Big Picture
• Decision of Build vs Buy & Ability to Customize
• Lack of Industry Governance on Standards and Security
• Internet security risks
• Unawareness
• Unable to leverage the data collected
• Lack of Efficient Analytical Capabilities
• Tools
• Strong Technology Competence
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12. • Proactive monitoring
• OTA software updates
• Remote access
SERVICE
•Predictive maintenance
•Identify process issues
•Real-time stat reporting
ANALYZE
• Closed loop product
lifecycle management
• Configuration management
• Knowledge management
• Remote diagnostics
• Quality Assurance
• Risk management
INTEGRATE
• Differentiate products
• Enable customer self-service
• Personalization of products
• Introduce new business
models
• Value added services
INNOVATE“Biggest Business Value is delivered when
the IoT generated Data is leveraged
at it’s fullest potential”
IoT Successful Implementation Strategies
12
13. IoT Architectural Considerations
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• Business Consideration
• Strategy & Vision of Functional Requirements
• Business Agility & Continuity
• Pricing / License Models
• Business Expansion Plans
• Multi-Tenancy
• Safe and Secure Partitioning of Tenants data
• Custom Business Domains for Sub-tenants
• Rebranding the IoT Platforms
14. IoT Architectural Considerations
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• Technology Considerations.
• Device Management.
• Installation, Maintenance and Communication.
• Bulk Registration / Decommissioning of Devices.
• Support for a variety of Devices.
• Firmware & Software Management.
• Device Monitoring & Realtime alerts.
• Interoperability & Data Integration with Enterprise IT systems and B2B Systems.
• Data Storage & Analytics
• Performance.
• Low / No Latency in Device Communication and Management.
• Scalability and Extensibility of the Solution
• Deployment Models.
• Loose Coupling with Devices, Gateways, Integration & Analytical platforms.
• Customization Support.
• Security
15. There are a wide number
of IoT platforms
available, including
ThingWorx, Microsoft
(Azure IoT), Amazon
(AWS IoT), Cumulocity,
Leonardo IoT. Here is a
comparative analysis to
help you choose the right
platform for your
business needs.
15
Choosing the right IOT platform
16. Based on the functionalities offered and our experience on the implementation for each platform, we have created a
scorecard that helps in comparing certain platforms.
Parameters Description Azure Score AWS Score Cumulocity Score
Core functionality
Device Management 5 3 5
Authentication and Authorization 5 4 5
Communication Channels 5 5 5
SDK and programing language 5 5 5
Extra capabilities 4 4 5
Monitoring and Identity Registry 5 4 5
Device Communication 5 3 5
Security 4 5 4
Application and Services 4 3 5
Scalability 4 5 5
Availability & Disaster Recovery 5 4 5
Time to Market 2 1 5
Total Score 53 46 59
Note: Ratings are done on 5-point basis. 5 is the highest score and 1 is the lowest
16
Functionality based scorecard for an IOT platform
17. BUILD FROM SCRATCH
Building a custom solution from scratch allows endless
customization to create a competitive advantage. It provides
the freedom to choose the suitable architecture and technology
stack to meet the expectations and feasibility.
BUY OFF THE SHELF
Off-the-shelf software are ready-to-use solutions that can be customized
up to a certain extent. An off-the-shelf product will typically be moderately
priced when compared to a custom developed product. Off the shelf
solutions significantly reduce time-to-market, as some parts of the module
may only require minor modifications.
Decision of Build Vs Buy Vs Customizable
17
18. 1 3
Build from
Scratch
Buy Off The Shelf
Base Factors Build from Scratch Buy Off The Shelf
Compliance to Standards Most Restricted Compliance
Time To Market Most Lowest
Inoperability Most Medium
Scalability Most Scalable Intermediate Scalability
Maintenance Required High Low
Level of Customization Highest Lowest
In-House Competencies Most Restricted
Solution Longevity Ensures Longevity Restricted Longevity
On-Going Support Full Vendor Support Full Vendor Support
Customization Most Restricted
Decision of Build Vs Buy Vs Customizable – Continued.
18
20. Software AG IoT Challenges
& Manufacturing Use Cases
& Case Studies
20
21. • But Only in experimentation phase
19%
only 19% of IoT projects are
actually in production
of executives are
launching IoT Projects
73%
Sources: Verizon State of the Market: Internet of Things 2017 and Constellation Research’s 2017 Digital Transformation Survey
Many ongoing IoT Projects
21
22. • run in isolation, not connecting to the business
65%
could not articulate
business value of the IoT
PoC’s for investment
Source: McKinsey, CapGemini
of IoT PoCs failed to
convert to business
practice
80%
Why IoT projects fail
22
23. KEY OBSTACLES
Bain - https://www.bain.com/insights/cybersecurity-is-the-key-to-unlocking-demand-in-the-internet-of-things
Device Connectivity &
Security
Data Analytics &
Response
Integration
Internet Of Things Projects
23
24. Significant pressure to
get started with IoT and
prove ROI quickly
› Platform specializing in rapid solution
development
› Powerful self-service environment and
easy rebrandability
› Out-of-the box applications for fast time to
market
PAIN POINT #1 TECHNOLOGY SOLUTIONS
Overcoming IoT challenges
24
25. ANALYTICS &
DASHBOARDS
Analyze and visualize your
data to gain insights and
turn them into action
< 10 minutes
BUILD
APPLICATIONS
Build & deploy data-driven
applications easily to drive
business value
< 30 minutes
INTEGRATE
APPLICATIONS
Integrate with existing
enterprise applications, OT
systems and cloud services
< 10 minutes
CONNECT
DEVICES
Connect a new device,
consume live data and be
able to trigger operations
< 5 minutes
IoT solution building should be this fast
25
26. IoT platform only to
offer a thin slice of
the functionality we
need & are difficult to
couple with core
business functions
› An open platform that is device, network and IaaS agnostic
› Advanced self-service analytics
› No-code integration & APIs to enterprise IT/OT and business
processes
PAIN POINT #2 TECHNOLOGY SOLUTIONS
Overcoming IoT Challenges
26
27. Developer
• Eclipse-based
tooling
• App based coding
language
• Development Personas & Tooling
Business Analyst
(Technical)
• Graphical modelling
• Round-tripping
between graphical
and source code
views
Business User
• Wizard-driven
graphical user
interface
• Easy-to-use
parameterization
of existing templates
Aligning users to interfaces
27
28. Network,
connectivity, usage
types vary across the
enterprise & have to
be overcome
› A distributed architecture
› Uniform underlying technology and APIs and simple deployment
PAIN POINT #3 TECHNOLOGY SOLUTIONS
Overcoming IoT challenges
28
30. Disparate Sensors and
Devices
Connect & Manage
Time
IncreasingValue&ROI
Alert and suggest actions to
improve and correct
‘Actionability’
Automatically take
‘Corrective Actions’
Automate
Make Sense of
Multitude of Inputs
Pan-Sensor Visibility
Edge Analytics
Pulling real-time data from your
devices
Dynamic Prediction
• Determining maintenance
requirements for assets based
on remaining useful life
Automated Actions
• Re-entitling equipment based on
location changes
• Dispatch of technician for
maintenance
• Ordering of service components
and consumables
Service Excellence
• Full visibility into field service
schedules
• Arrival synchronization of service
components with technician
• Automatic KPI monitoring and entry
into analytics for referencing
Device Management
Connect and control your
devices
Condition Monitoring
Understanding device usage,
position, performance, &
lifecycle based on streaming
event & historical data
Automated Actions & Alerts
Take actions on predicted outcomes
before they become a problem
Maturity curve for value
30
31. 31
• Remotely manage assets at the edge with signals every 8ms
• Anomaly detection score (IO / NIO)
• Closed-loop analytics (real-time execution and re-training of machine
learning models)
ANOMALY DETECTION & PREDICTIVE MAINTENANCE
Advanced IIoT analytics for Paint stations
31
34. 34
Implementation of framework to
allow integration and data exchange
between physical world entities
Kellton Tech – Cost Effective Successful IoT Implementations
Interconnected devices to be more
productive, safer, smarter and informed
than ever before
Solution Stack
Our Expertise
Years: 7+ Experts:
50+
Customers:
10+
IoT Approach
https://www.kelltontech.com/internet-of-things-solutions
IoT center of excellence
34
35. ABOUT
THE
CLIENT
Our client is one of the top three access control and security solutions companies on
the global market. We developed a Cumulocity based IoT Devices & Workflow
management SAAS Platform.
PROBLEM
STATEMENT
Although the client already had a versatile and promising product there was still a
gap that needed to be filled using IoT. They envisioned an IoT based solution to
improve their current product and give them a competitive edge.
35
Our Experience
36. IoT Implementation &
Feasibility Workshop
Strategy Planning
Develop the
Business Case
Implementation
Roadmap
Pilot Project
Implementation
Solution Scaling
36
Kellton’s Implementation Roadmap
37. OUR SUCCESSFUL IMPLEMENTATION PROCESS
At this stage we:
• Defined the transformation impact
on the business and its
stakeholders
• Finalized the business
requirements
• Defined an ROI model
Strategy
Planning
Our Strategic Plan included:
• Scenario Planning
• Overall IoT implementation strategy
• Legacy integration strategy
• Change Management Planning
• Impact to current business strategy
Develop the
Business Case
At this stage we:
• Defined the development &
deployment strategy
• Defined the phases and timelines for
implementation
• Defined the platform to be used for
development
• Defined the Protocols to be used
• Created the Solution Architecture
Implementation
Roadmap
37
IoT Implementation &
Feasibility Workshop
We conducted various on-premise
workshops to gain a deep understanding
of the project requirements and gain
insights on:
• Current Process
• Data flow, Security, Authentication
• Platform Selection (eg. Cumulocity)
• Solution Architecture
• High Level Use Cases
1.
Our Experience
2.
3.
4.
38. After the successful deployment of the solution, the client
pitched the solution to new industry verticals and began
adding more devices to the solution. Therefore, we scaled
the solution to enable the adoption of more devices while
scaling up our cloud infrastructure as well.
At this stage we:
• Started developing the production
level product
• QA & Feedback Incorporation
• End-to-End solution deployment
• Change ManagementImplementation
Solution Scaling
38
At this stage we:
• Developed the POCs
• Validated the results
• Updated the implementation
roadmap based on the POC results
Pilot Project
Our Experience
5.
6.
7.