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Building, marketing and selling repeatable solutions
Noam King, IoT Sales Strategy Lead,
CDS, Microsoft / 17 Jan 2019
Here’s what we’re covering
What is a repeatable
IoT solution?
Building repeatable
IoT solutions to
support a
transforming business
model
Microsoft Go to
Market Support
Programs
Co-Selling with
Microsoft
What is a repeatable IoT solution?
What is a repeatable IoT solution?
Device to cloud solutions that address a specific use case either
horizontally, cross industry or vertically within an industry.
They get built once, and are sold to many customers.
Start with the business model
Outcomes from a Business Model Workshop
Define value
proposition
Understand
organizational impact
Assess
organizational capability
Secure
business stakeholder
buy-in
Input to
Architectural Design
© Strategyzer
Business Model Canvass
Revenue StreamCost Structure
Partnerships Value Proposition Customer
Relationships
Customer
Segments
Resources
Key Activities
Channels
Revenue StreamCost Structure
Partnerships Customer
Relationships
Customer
Segments
Resources
Key Activities
Channels
Business Model Canvass
Value Proposition
Business Value
© Strategyzer
Business Model Canvass
Revenue StreamCost Structure
Partnerships Value Proposition Customer
Relationships
Customer
Segments
Resources
Key Activities
Channels
© Strategyzer
The Customer
Business Model Canvass
Revenue StreamCost Structure
Partnerships Value Proposition Customer
Relationships
Customer
Segments
Resources
Key Activities
Channels
© Strategyzer
Organizational Capability
Organizational Capability
Partnerships
Resources
Key Activities
Organizational Capability
© Strategyzer
Revenue StreamCost Structure
Partnerships Value Proposition Customer
Relationships
Customer
Segments
Resources
Key Activities
Channels
Costs
Business Model Canvass
1. Solution Architecture
tells us what services will be used
2. Business Volumetrics
determines scale of messaging & services
To estimate costs we need 2 things:
What’s the cost of an IoT Solution?
Cost Structure
Costs
Azure Pricing Calculator
Cost Model
Revenue Stream
Business Model Canvass
Cost Structure
Partnerships Value Proposition Customer
Relationships
Customer
Segments
Resources
Key Activities
Channels
Revenue and Pricing
© Strategyzer
Cost-Plus Pricing
understand my costs,
add my marginValue-Based Pricing
how much value am I bringing to the
value chain?
Pricing Models
How will I price my IoT solution?
Revenue Stream
Revenue and Pricing
Outcome as a Service Pricing
Understand relationship between
operational costs & customer
outcomes.
© Strategyzer
Business Model: Predictive Maintenance
Revenue StreamCost Structure
Partnerships Value Proposition Customer
Relationships
Customer
Segments
Resources
Key Activities
Channels
• Hardware (Machine engineering,
Sensors etc.)• Connectivity
• Software Dev
• Data Science• E2E Integration
• Security
• Engineering
• Operations (Process, Data)• Project Management
• Business Analysis
• S/W development
• H/W device partner• Cloud
• Security / auditing
Brand
• Association with innovation
New Revenue Opportunities
• Improved SLA
• Product utilisation insights
Customer experience / Insights
• Process insights / remote
monitoring
Efficiency / Cost Reduction
• Reduced downtime
• Improved service planning
• Increased machine utilisation
Product improvement / reliability
• R&D insights (common faults,
machine utilisation)
• Direct sales force
• Distributors• Resellers
• Aerospace
• Automotive• Medical
• Oil & Gas
• Medical
• Concept Development & POC
with 5 “friendly” customers
• Potential move to subscription-based “as a service” model
• Revenue model – ensure revenue scales at least as fast as costs do and ensure we are incentivised only on factors under our control
• Cloud costs depend on approach (e.g. predictive maintenance cost greater than
remote monitoring due to compute load)• Costs can be estimated once architecture and business volumetrics confirmed. How
costs scale also confirmed in POC
Technical Architecture
An Architectural Design Session is a one to multi-day engagement driven by
technical sales that maps technical solutions to customer opportunities.
Designing the technical architecture
Architectural Design Session Outcomes
✓ project scope
✓ solution requirements
✓ technical implementation approach
✓ risk assessment
✓ resources needed
✓ cost and timeline
ADS Types
Solution-focused
Envisioning
Proof of Value (PoV) scoping
Architectural Review
Target Audience
Business sponsors to articulate needs
Technology executive team to understand impact
Lead architects, developers, DBAs, operations, etc.
What is an Architectural Design Session (ADS)?
Key Deliverables
Vision/Scope document
Architecture Assessment document
Proof of Value (PoV) project plan
Proof of value
Vendors need to address customer barriers
Source: Bain and Company
2016 2018 Top 3 barriers
18%
18%
19%
20%
20%
23%
23%
24%
30%
32%
45%
Network constraints
Vendor risk
Transition risk
Vendor lock-in
Data portability
Interoperability
Legal/regulatory
Technical expertise
IT/OT intergration
Unclear ROI
Security
% of respondents (top 3 barriers)% of respondents (top 3 barriers)
20%
21%
21%
17%
23%
25%
21%
25%
29%
28%
42%
Network constraints
Vendor risk
Transition risk
Vendor lock-in
Data portability
Interoperability
Legal/regulatory
Technical expertise
IT/OT intergration
Unclear ROI
Security
What are the most significant barriers limiting you from adopting IoT/analytics solutions?
Common Proof of Concept Blockers
Avoiding the Proof of Concept Trap
Lack of executive buy-in
Lack of resourcesProhibitive cost to
scale
Business value is
unclear
Difficult to justify short-term
impact of pilot
Is this a qualified opportunity? Use BANT (Budget, Authority, Need, Timing) criteria.
Proof of Value Checklist
Complete the Business Case with the customer stakeholders
Get commitment ahead of time that if a PoV proves the desired business outcome,
steps to progress towards full production.
Examples
Machine X is currently serviced reactively (as it breaks) resulting in production halts whenever it goes offline
Manual-based production scheduling and sequencing generating problems in quality (rework, scrap) that are difficult to trace
Examples
7% increase in production line uptime
12% reduction in rework/scrap
Examples
Instrument Machine X with basic remote monitoring to trigger when certain thresholds are exceeded
Add sensors to detect anomalies in production materials
Identify customer stakeholders
Principle Solution Spec
Vince Park박근호 부장Azure IoT 솔루션영업
Microsoft IoT solution support
Business Model Workshop
Architectural Design Session
IoT Accelerate
Reference Architecture
Tune-up
Case Studies
Broad Partner Enablement
Amplification
Partner-ready BOM
Seller quota retirement
One Commercial
Partner Catalog
Microsoft IoT Solution Support
Build-with Go To Market Co-Sell
IoT Ecosystem Partners
ISV, OEMSIPartners
Solution Aggregators
IoT Accelerate co-funding
Concept development
Proof of Value (POV)
Pilot/Proof of Business (POB)
1
2
3
Energy
Retail
Factory/Industrial
Security & Surveillance
Healthcare
Buildings
Target verticals
Events
Webinars
Evidence
Tune up
Go To Market Build Ready
GTM: Microsoft tools to help scale your solution
IoT in Action Webinar Schedule
Energy Retail
Manufacturing
Security &
Surveillance
Healthcare
Smart
Buildings
July - September October - December January - March April - June
Smart Cities
Technical
Bootcamp
Technical
BootcampAgriculture
Azure Sphere
All available on-demand
Tune-up examples
Foundational
document providing
guidance for how to
message the partner
solution to
customers.
Customer-ready
slides with a strong
solution story,
intended to start the
conversation with
customers, help
drive interest in the
solution, highlight
differentiators, and
communicate
business value.
Customer-facing
one-pager
summarizing key
points about the
solution and
communicating
solution value—
great for e-mailing
to customers.
Helps sales teams
quickly understand
the partner
solution. It includes: ▪ Elevator pitch
▪ Understanding the
scenario
▪ Types of accounts to
target▪ Next steps
▪ Partner sales
contacts
Co-selling with Microsoft
Why Co-sell?
Microsoft’s platform
grows as a result
Enterprise sellers get to
introduce new innovation to
their customers
Partners get introduced
to new customers in
new geographies
WIN WINWIN
Microsoft Go to
Market Support
Programs
Co-Selling with
Microsoft
Building repeatable
IoT solutions to
support a
transforming business
model
Here’s what we covered
What is a repeatable
IoT solution?
What’s next?
TransformingYour Business
Cloud & IoT Makes our LifeSafer & Smarter
Chris Lee / 이근우상무
Chris Lee / 이근우Senior Director
Business Insight to Global Security Market
Smart Cities Cloud Services
Telco
Intelligent Azure Cloud Service Architecture
Alarm Service
Device Service
Video Service
Real-Time Decision
Data Analytics & BI
Video Surveillance
Data Service
Cognitive Service
We deliver Intelligent VSS Cloud Platform with
InferenceHYBRID CLOUD
PRIVATE CLOUD PUBLIC CLOUD
Failure Management
Intelligent
VSS Client
Innodep Cloud
Service
Image Frame
Video & Meta Data
Feedback
ActionIoT Data
IoT Data
Feedback Action
Trigger
ActionAnalytics
Intelligent Azure Cloud VSS Smart Home
Beyond Cloud & IoT for Digital Security
Name : Chris
Grade : Gold
Gender : Male
Age : 48
Result
Innodep Cloud ServiceVideo DataMeta Data
Intelligent Azure Cloud VSS Smart Retail
Video & Meta Data
Customer Satisfaction
Beyond Cloud & IoT for Digital Security
Innodep Cloud Service
Dashboard
StatisticalInformation
StatisticalDicision Making
Intelligent Azure Cloud VSS Smart Manufacturing
Business Innovation
Workmanship efficiency
Process Innovation
미래의통합관제솔루션
49
Visualize All Connected
Remote Monitoring andAnomaly Detection Case on “L”Jeffrey Kim / 김정열
Jeffrey Kim / 김정열CEO / Thingscare Inc.
Conventional Service
68% of call is NOT H/W failure - simple action in emergency visit
2nd visit due to lack of information in some case
Unnecessary visit cost
Hard to reduce MTTR (Mean Time To Repair)
Dispatchin most case
request for repair
Dispatch2nd visit
repair, w/part
No visual info
Only voice of
customer
Available to aware fault quickly
Check up historical status
Helpful to access to root cause
Reduce unnecessary visits and MTTR
20%Dispatches cost saving in a case
Status, Usage
Remote Control
Alarm Monitoring
Remote DiagnosisRepair
AnalysisAlert
Dispatchin case of necessity
New Service
Big Data Analytics
You can improve the operating
rate of Digital Signage
and customer satisfaction.
Increase
Operation Time
Reduce Dispatches
• Improve service profitability
• Increase first-visit fix rate• Warranty cost reduction• Reduce maintenance cost
• Improve equipment effectiveness
Monitoring
Anomaly
Detection
(Big Data Analytics)
Preventive
Maintenance(Remote Control
or Schedule visit)Normal
Operation
Early
Detection
Treatment
(Remote Control
or Emergency Visit)
Benefit – Reduce Dispatches, Increase Operation Time
24/7Availability
Service Progression
Phase 1
Phase 2
Phase 3
Phase 4
Remote Monitoring
Anomaly Detection
Advanced
Remote Access
Preventive Maintenance
Sell +more
Things Things +more
What are the +more?
WORTH IT
Proactive
Understand the contextConvenient
Relieved
Trusted
Smart
Care
Why did they choose Azure?
• Reliable for global service
• Scalability and ductility
• Security offerings
• Elastic and evolving
• Analytics and Intelligence
Hakju KangCEO, UlalaLAB, Inc.
Cloud–based Smart Factory Platform
Hakju Kang | UlalaLAB CEO17 Jan 2019
강 학 주 (Hakju Kang)
UlalaLAB CEO,CTO
Smart Factory
97.2% (Korea)
Manufacturing Industry StructureSource : Machina Research STRACORP
81.6%(Global)
91.4%(Korea)
17.8%
0.6%
Small Manufacturer
Medium Manufacturer
Large Manufacturer
Small and medium sized manufacturers are account for 80% out of whole manufacturers
Obsolescence of equipment Unformatted Process Manual focused production
In case of Smart Factory for SMEs, Rather than system integration through factory automation
To ensure production efficiency and reasonable operation and competitiveness,It is important to have an effective methodology for making decisions.
Begin from collecting and analyzing DATA
?
?
??
?
DATA
Information
Decision
GOAL
Quality
Cost
Delivery Time
Flexibility
I OT D E V I CE C LO U D BI G D ATAM A CH I N E
L E A RN I N G
[1. 수집된 시계열 데이터] [2. 데이터 전처리 샘플링] [3. 데이터 전처리 분석] [4. 오작동 데이터 분석]
[5. 유효데이터분석및추출] [6. Standard 데이터학습] [7. Standard 데이터학습] [8. 오작동및불량기준생성]
➢ Between Sensors
➢ Between Facilities
➢Facility Malfunctioning Analysis (predictive maintenance)
➢Facility Status Analysis
➢Production Condition and Operation Status
Thank You
With
Chris Lee
Senior Director
INNODEP
Jeffrey Kim
CEO
Thingscare Inc.
Hakju Kang
CEO
Ulala Lab
Noam King
IoT Sales Strategy Lead
Microsoft
Vince Park
PSS (Principle Solution Specialist)
Microsoft
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