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Rethinking the Business 
Benefits of the Cloud 
GigaOm Research 
Joe Weinman 
joeweinman at gmail 
@joeweinman 
© 2014 Joe Weinman. All Rights Reserved
Cloudonomics 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 2
Quantitative Analysis of Clouds. 
Common 
- Penalty Cost Reduction to 
Location-independent 
Online 
- Smart networks improvement on 푛 paths ≅ 
Utility 
on-Demand 
1 
푚 
for 푚 independent demands 
- Latency ∝ to 
1 
푛 
for n nodes, adjusted by 
1−cos(2훽) 
1−cos(훽) 
- Hub vs. P2P Benefit of 
1 
푛 
Connections; Latency Penalty of 
4 
3 
× 
45휋 
128 
- Pure Cloud Better when 
푃 
퐴 
1 
2 
> 푈; Hybrid Best with Breakeven at 푡 = 푇/푈 
- Linear Benefit for 퐷 푡 = 푘푡; Exponential for 퐷 푡 = 푒푡; 
1 
푛 
for Random Walk 
Source: Joe Weinman, Cloudonomics 
+ 
1 
(푛+1) 
− 
휋 
2푛 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 3
“The Benefits of the Cloud 
are Cost Reduction and 
Business Agility” 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 4
Revenue Growth 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 5
Does IT Matter?? 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 6
Firm Profitability 
Fixed Effect Models* 
Base Model Incl Sales, OPEX 
IT 1.912 1.837 
Sales 0.054 
OPEX 0.137 
Advertising 0.155 0.142 
R&D 1.001 0.993 
R2 (overall) 0.49 0.51 
Observations 276 
Number of Firms 86 
Source: Sunil Mithas, Ali Tafti, Indranil Bardhan, and Jie Mein Goh, “Information 
Technology and Firm Profitability: Mechanisms and Empirical Evidence” 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 7
Range of IT Value 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 8
The Discipline of Market Leaders 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 9
Digital Disciplines 
Digital Technology 
+ 
Value Disciplines 
= 
Digital Disciplines 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 10
Updating the Value Disciplines? 
Value 
Discipline 
“Virtual” 
Extrapolation 
(Physical) 
Operational 
Excellence 
Virtual 
Operational 
Excellence 
(Physical) 
Product 
Leadership 
Virtual 
Product 
Leadership 
(Face-to-Face) 
Customer 
Intimacy 
Virtual 
Customer 
Intimacy 
Source: NYTimes.com 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 11
Updating the Value Disciplines 
Value Discipline “Virtual” 
Extrapolation 
Digital Discipline 
Operational 
Excellence 
Virtual Operational 
Excellence 
Information Excellence 
Product 
Leadership 
Virtual Product 
Leadership 
Solution Leadership 
Customer 
Intimacy 
Virtual Customer 
Intimacy 
Collective Intimacy 
(Traditional Innovation) Accelerated Innovation 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 12
Information Excellence 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 13
Solution Leadership 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 14
Collective Intimacy 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 
15
Business Agility 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 16
Product Life Cycle 
Revenue 
Introduction Growth Maturity Decline 
Time 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 17
Industry Rivals 
Industry Rivals 
Introduction Growth Maturity Decline 
Time 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 18
Industry Profit 
Industry Profit 
Introduction Growth Maturity Decline 
Time 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 19
Industry Profit 
Industry Profit 
Introduction Growth Maturity Decline 
Time 
Higher Market 
Lower 
Share 
Development 
Expenses 
Higher Profit 
Time Value 
Of Money 
Lower 
Marketing Costs 
Lower Forecast 
Risk 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 20
Digital Business Intervals 
Introduction Growth Maturity Decline 
Time to Volume 
Time 
Time to Market 
Platform 
as a Service 
Infrastructure 
as a Service 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 21
Accelerated Innovation 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 22
Accelerated Innovation 
Challenge 
Source: Joe Weinman, Cloudonomics 
Solutions 
Solution 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 23
Accelerated Innovation 
Goldcorp Netflix Innocentive 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 24
New Business Models 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 25
Business Model Generation 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 26
The Business Model Canvas 
© 2014 Joe Weinman. All Rights Reserved 27 
Key 
Partners 
Key 
Resources 
Value 
Proposition 
Channels 
Customer 
Segments 
Key 
Activities 
Cost Structure 
Customer 
Relationships 
Revenue Streams 
Source: Alex Osterwalder and Yves Pigneur, Business Model Generation 
@joeweinman
Nike Basketball Hyperdunk+ 
Source: Nike.com 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 28
Automobile Insurance 
- Speed 
- Route 
- Distance 
- Acceleration 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 29
Global Market Expansion 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 30
The Networked Economy 
Greater Bandwidth & More Endpoints 
Greater Global 
Knowledge-Intensive Flows 
Faster Growth than Labor, Capital-Intensive Segments 
Source: McKinsey Global Institute 
Increasing Network 
Ubiquity 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 
31
Enhanced User Experience 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 32
Amdahl’s Law. 
Source: Joe Weinman, Cloudonomics 
P 
S 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 33
Cloud Response Time. 
Source: Joe Weinman, Cloudonomics 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 34
Geo Dispersion. 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 35
The Law of Cloud Response Time. 
T = F + N + P 
T = F + _N_ + _P_ 
√n p 
Multiplicity of Nodes and Processors 
n = ∛( Q N ) 2 
Minimum Time for a given Quantity of resources 
0.35 
0.3 
0.25 
0.2 
0.15 
0.1 
0.05 
0 
Source: Joe Weinman, Cloudonomics 
Single Entities 
2P 
Priority of Dispersion 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 36
Cost Reduction 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 37
Statistical Multiplexing of IID RVs. 
1 
0.8 
0.6 
0.4 
0.2 
0 
1 
0.8 
0.6 
0.4 
0.2 
0 
1 
0.8 
0.6 
0.4 
0.2 
0 
1 
0.8 
0.6 
0.4 
0.2 
0 
1 
25 
4 
100 
Source: Joe Weinman, Cloudonomics 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 38
1 
0.9 
0.8 
0.7 
0.6 
0.5 
0.4 
0.3 
0.2 
0.1 
0 
1 
6 
11 
16 
21 
26 
31 
36 
41 
46 
51 
56 
61 
66 
71 
76 
81 
86 
91 
96 
101 
106 
111 
116 
121 
126 
131 
136 
141 
146 
151 
156 
161 
166 
171 
176 
181 
186 
191 
196 
201 
Inverse Square Root Behavior. 
Source: Joe Weinman, Cloudonomics 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 39
Cloud Cost Structures. 
Well-Run 
Enterprise 
Mid-Size 
Cloud SP 
Largest 
Cloud SP 
Scale-Invariant Costs 
SG&A, Margin, Uncollectibles, … 
Consumer Typical 
Enterprise 
Economies of Scale 
Diseconomies 
Source: Joe Weinman, Cloudonomics 
Cost (/Price) 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 40
The Math. 
1. U < 1  A * U * C * T <= P * U * C * T < P * 1 * C * T = P * C * T 
2. U = 1 & A=P  A * U * C * T = P * U * C * T = P * 1 * C * T = P * C * T 
3. U = 1 & A < P  A * U * C * T < P * U * C * T = P * 1 * C * T = P * C * T 
4. 1 < U < ( P / A )  A * U * C * T < A * (P / A) * C * T = P * C * T 
5. U > 1, & (Tp / T) < (1 / U)  
[(P - ε) * T * C] + [ε * Tp * C * U] < [(P - ε) * T * C] + [ε * T * C] 
6. (TNZ / T) > (1 / U) & U > 1  ε * T * C < ε * TNZ * U * C 
7. D uniform, U > 1  TotalCost = [F * T * C] + [ ½V * (V / P) * T * U * C] 
 Min(TotalCost) when 0 = [T * C] * [0 – 1 + V * U / P]  V / P = 1 / U 
A = Average, P = Peak, C = Baseline Resource Cost, U = Utility Premium, T = Time, Tp = Peak Duration, 
TNZ = Non-Zero Baseline Duration, F = Fixed Capacity, V = Variable Capacity, D = Demand over Time 
Source: Joe Weinman, Cloudonomics 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 41
The English. 
All other things being equal: 
1. If cloud services cost less than enterprise IT, then… 
…use them 
2. If cloud services cost more than enterprise IT, then… 
…don’t… 
…jump to conclusions, because if demand is “spikier” than the 
cloud is “costly,” a pure cloud solution will cost less than a 
dedicated one 
3. If demand has any variation, a hybrid solution is optimal 
Source: Joe Weinman, Cloudonomics 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 42
Hybrid Economics, P/A>U>1. 
$$$ 
$$ 
$ 
Private Hybrid Public 
Source: Joe Weinman, Cloudonomics 
Cost 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 43
Hybrids over Space. 
Stateless Elasticity BC/DR 
Content/Service Delivery Data Integration 
Source: Joe Weinman, Cloudonomics 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 44
Hybrids over Time. 
Dev/Test Production Production Dev/Test 
Migration to Cloud Migration from Cloud 
Source: Joe Weinman, Cloudonomics 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 45
Risk Mitigation 
@joeweinman © 2014 Joe Weinman. All Rights Reserved 46
Linear Demand Growth. 
Unserved 
Demand u Resources R(t) 
Time 
t2 
Provisioning 
Source: Joe Weinman, Cloudonomics 
Demand D(t) = a+bt 
t1 
Time tp 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 47
Exponential Demand Growth. 
Unserved 
Demand 
Time 
Demand D(t) = et 
Resources R(t)=e(t-tp) 
t1 t2 
tp 
tp 
Source: Joe Weinman, Cloudonomics 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 48
White Papers. 
© 2014 Joe @joeweinman Weinman. All Rights Reserved 49
Thank You 
joeweinman at gmail 
@joeweinman 
© 2014 Joe Weinman. All Rights Reserved

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Rethinking the Business Benefits of The Cloud

  • 1. Rethinking the Business Benefits of the Cloud GigaOm Research Joe Weinman joeweinman at gmail @joeweinman © 2014 Joe Weinman. All Rights Reserved
  • 2. Cloudonomics © 2014 Joe @joeweinman Weinman. All Rights Reserved 2
  • 3. Quantitative Analysis of Clouds. Common - Penalty Cost Reduction to Location-independent Online - Smart networks improvement on 푛 paths ≅ Utility on-Demand 1 푚 for 푚 independent demands - Latency ∝ to 1 푛 for n nodes, adjusted by 1−cos(2훽) 1−cos(훽) - Hub vs. P2P Benefit of 1 푛 Connections; Latency Penalty of 4 3 × 45휋 128 - Pure Cloud Better when 푃 퐴 1 2 > 푈; Hybrid Best with Breakeven at 푡 = 푇/푈 - Linear Benefit for 퐷 푡 = 푘푡; Exponential for 퐷 푡 = 푒푡; 1 푛 for Random Walk Source: Joe Weinman, Cloudonomics + 1 (푛+1) − 휋 2푛 © 2014 Joe @joeweinman Weinman. All Rights Reserved 3
  • 4. “The Benefits of the Cloud are Cost Reduction and Business Agility” @joeweinman © 2014 Joe Weinman. All Rights Reserved 4
  • 5. Revenue Growth @joeweinman © 2014 Joe Weinman. All Rights Reserved 5
  • 6. Does IT Matter?? © 2014 Joe @joeweinman Weinman. All Rights Reserved 6
  • 7. Firm Profitability Fixed Effect Models* Base Model Incl Sales, OPEX IT 1.912 1.837 Sales 0.054 OPEX 0.137 Advertising 0.155 0.142 R&D 1.001 0.993 R2 (overall) 0.49 0.51 Observations 276 Number of Firms 86 Source: Sunil Mithas, Ali Tafti, Indranil Bardhan, and Jie Mein Goh, “Information Technology and Firm Profitability: Mechanisms and Empirical Evidence” @joeweinman © 2014 Joe Weinman. All Rights Reserved 7
  • 8. Range of IT Value @joeweinman © 2014 Joe Weinman. All Rights Reserved 8
  • 9. The Discipline of Market Leaders @joeweinman © 2014 Joe Weinman. All Rights Reserved 9
  • 10. Digital Disciplines Digital Technology + Value Disciplines = Digital Disciplines © 2014 Joe @joeweinman Weinman. All Rights Reserved 10
  • 11. Updating the Value Disciplines? Value Discipline “Virtual” Extrapolation (Physical) Operational Excellence Virtual Operational Excellence (Physical) Product Leadership Virtual Product Leadership (Face-to-Face) Customer Intimacy Virtual Customer Intimacy Source: NYTimes.com © 2014 Joe @joeweinman Weinman. All Rights Reserved 11
  • 12. Updating the Value Disciplines Value Discipline “Virtual” Extrapolation Digital Discipline Operational Excellence Virtual Operational Excellence Information Excellence Product Leadership Virtual Product Leadership Solution Leadership Customer Intimacy Virtual Customer Intimacy Collective Intimacy (Traditional Innovation) Accelerated Innovation © 2014 Joe @joeweinman Weinman. All Rights Reserved 12
  • 13. Information Excellence @joeweinman © 2014 Joe Weinman. All Rights Reserved 13
  • 14. Solution Leadership @joeweinman © 2014 Joe Weinman. All Rights Reserved 14
  • 15. Collective Intimacy @joeweinman © 2014 Joe Weinman. All Rights Reserved 15
  • 16. Business Agility @joeweinman © 2014 Joe Weinman. All Rights Reserved 16
  • 17. Product Life Cycle Revenue Introduction Growth Maturity Decline Time © 2014 Joe @joeweinman Weinman. All Rights Reserved 17
  • 18. Industry Rivals Industry Rivals Introduction Growth Maturity Decline Time © 2014 Joe @joeweinman Weinman. All Rights Reserved 18
  • 19. Industry Profit Industry Profit Introduction Growth Maturity Decline Time © 2014 Joe @joeweinman Weinman. All Rights Reserved 19
  • 20. Industry Profit Industry Profit Introduction Growth Maturity Decline Time Higher Market Lower Share Development Expenses Higher Profit Time Value Of Money Lower Marketing Costs Lower Forecast Risk © 2014 Joe @joeweinman Weinman. All Rights Reserved 20
  • 21. Digital Business Intervals Introduction Growth Maturity Decline Time to Volume Time Time to Market Platform as a Service Infrastructure as a Service © 2014 Joe @joeweinman Weinman. All Rights Reserved 21
  • 22. Accelerated Innovation @joeweinman © 2014 Joe Weinman. All Rights Reserved 22
  • 23. Accelerated Innovation Challenge Source: Joe Weinman, Cloudonomics Solutions Solution © 2014 Joe @joeweinman Weinman. All Rights Reserved 23
  • 24. Accelerated Innovation Goldcorp Netflix Innocentive @joeweinman © 2014 Joe Weinman. All Rights Reserved 24
  • 25. New Business Models @joeweinman © 2014 Joe Weinman. All Rights Reserved 25
  • 26. Business Model Generation © 2014 Joe @joeweinman Weinman. All Rights Reserved 26
  • 27. The Business Model Canvas © 2014 Joe Weinman. All Rights Reserved 27 Key Partners Key Resources Value Proposition Channels Customer Segments Key Activities Cost Structure Customer Relationships Revenue Streams Source: Alex Osterwalder and Yves Pigneur, Business Model Generation @joeweinman
  • 28. Nike Basketball Hyperdunk+ Source: Nike.com @joeweinman © 2014 Joe Weinman. All Rights Reserved 28
  • 29. Automobile Insurance - Speed - Route - Distance - Acceleration © 2014 Joe @joeweinman Weinman. All Rights Reserved 29
  • 30. Global Market Expansion @joeweinman © 2014 Joe Weinman. All Rights Reserved 30
  • 31. The Networked Economy Greater Bandwidth & More Endpoints Greater Global Knowledge-Intensive Flows Faster Growth than Labor, Capital-Intensive Segments Source: McKinsey Global Institute Increasing Network Ubiquity @joeweinman © 2014 Joe Weinman. All Rights Reserved 31
  • 32. Enhanced User Experience @joeweinman © 2014 Joe Weinman. All Rights Reserved 32
  • 33. Amdahl’s Law. Source: Joe Weinman, Cloudonomics P S © 2014 Joe @joeweinman Weinman. All Rights Reserved 33
  • 34. Cloud Response Time. Source: Joe Weinman, Cloudonomics © 2014 Joe @joeweinman Weinman. All Rights Reserved 34
  • 35. Geo Dispersion. © 2014 Joe @joeweinman Weinman. All Rights Reserved 35
  • 36. The Law of Cloud Response Time. T = F + N + P T = F + _N_ + _P_ √n p Multiplicity of Nodes and Processors n = ∛( Q N ) 2 Minimum Time for a given Quantity of resources 0.35 0.3 0.25 0.2 0.15 0.1 0.05 0 Source: Joe Weinman, Cloudonomics Single Entities 2P Priority of Dispersion © 2014 Joe @joeweinman Weinman. All Rights Reserved 36
  • 37. Cost Reduction @joeweinman © 2014 Joe Weinman. All Rights Reserved 37
  • 38. Statistical Multiplexing of IID RVs. 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 0.8 0.6 0.4 0.2 0 1 25 4 100 Source: Joe Weinman, Cloudonomics © 2014 Joe @joeweinman Weinman. All Rights Reserved 38
  • 39. 1 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 1 6 11 16 21 26 31 36 41 46 51 56 61 66 71 76 81 86 91 96 101 106 111 116 121 126 131 136 141 146 151 156 161 166 171 176 181 186 191 196 201 Inverse Square Root Behavior. Source: Joe Weinman, Cloudonomics © 2014 Joe @joeweinman Weinman. All Rights Reserved 39
  • 40. Cloud Cost Structures. Well-Run Enterprise Mid-Size Cloud SP Largest Cloud SP Scale-Invariant Costs SG&A, Margin, Uncollectibles, … Consumer Typical Enterprise Economies of Scale Diseconomies Source: Joe Weinman, Cloudonomics Cost (/Price) © 2014 Joe @joeweinman Weinman. All Rights Reserved 40
  • 41. The Math. 1. U < 1  A * U * C * T <= P * U * C * T < P * 1 * C * T = P * C * T 2. U = 1 & A=P  A * U * C * T = P * U * C * T = P * 1 * C * T = P * C * T 3. U = 1 & A < P  A * U * C * T < P * U * C * T = P * 1 * C * T = P * C * T 4. 1 < U < ( P / A )  A * U * C * T < A * (P / A) * C * T = P * C * T 5. U > 1, & (Tp / T) < (1 / U)  [(P - ε) * T * C] + [ε * Tp * C * U] < [(P - ε) * T * C] + [ε * T * C] 6. (TNZ / T) > (1 / U) & U > 1  ε * T * C < ε * TNZ * U * C 7. D uniform, U > 1  TotalCost = [F * T * C] + [ ½V * (V / P) * T * U * C]  Min(TotalCost) when 0 = [T * C] * [0 – 1 + V * U / P]  V / P = 1 / U A = Average, P = Peak, C = Baseline Resource Cost, U = Utility Premium, T = Time, Tp = Peak Duration, TNZ = Non-Zero Baseline Duration, F = Fixed Capacity, V = Variable Capacity, D = Demand over Time Source: Joe Weinman, Cloudonomics © 2014 Joe @joeweinman Weinman. All Rights Reserved 41
  • 42. The English. All other things being equal: 1. If cloud services cost less than enterprise IT, then… …use them 2. If cloud services cost more than enterprise IT, then… …don’t… …jump to conclusions, because if demand is “spikier” than the cloud is “costly,” a pure cloud solution will cost less than a dedicated one 3. If demand has any variation, a hybrid solution is optimal Source: Joe Weinman, Cloudonomics © 2014 Joe @joeweinman Weinman. All Rights Reserved 42
  • 43. Hybrid Economics, P/A>U>1. $$$ $$ $ Private Hybrid Public Source: Joe Weinman, Cloudonomics Cost © 2014 Joe @joeweinman Weinman. All Rights Reserved 43
  • 44. Hybrids over Space. Stateless Elasticity BC/DR Content/Service Delivery Data Integration Source: Joe Weinman, Cloudonomics © 2014 Joe @joeweinman Weinman. All Rights Reserved 44
  • 45. Hybrids over Time. Dev/Test Production Production Dev/Test Migration to Cloud Migration from Cloud Source: Joe Weinman, Cloudonomics © 2014 Joe @joeweinman Weinman. All Rights Reserved 45
  • 46. Risk Mitigation @joeweinman © 2014 Joe Weinman. All Rights Reserved 46
  • 47. Linear Demand Growth. Unserved Demand u Resources R(t) Time t2 Provisioning Source: Joe Weinman, Cloudonomics Demand D(t) = a+bt t1 Time tp © 2014 Joe @joeweinman Weinman. All Rights Reserved 47
  • 48. Exponential Demand Growth. Unserved Demand Time Demand D(t) = et Resources R(t)=e(t-tp) t1 t2 tp tp Source: Joe Weinman, Cloudonomics © 2014 Joe @joeweinman Weinman. All Rights Reserved 48
  • 49. White Papers. © 2014 Joe @joeweinman Weinman. All Rights Reserved 49
  • 50. Thank You joeweinman at gmail @joeweinman © 2014 Joe Weinman. All Rights Reserved

Hinweis der Redaktion

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  3. http://www.istockphoto.com/stock-photo-21179001-young-tech-tunes-her-microscope.php