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© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
CFO Corner
Thomas Blood
Enterprise Strategist, EMEA
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cloud Value Framework
Cost
Savings (TCO)
Staff
Productivity
Operational
Resilience
Business
Agility
What is it?
Examples
Infrastructure cost
savings/avoidance
from moving to
the cloud
50%+ reduction
in TCO (GE)
Over 500 hours
per year of server
configuration
time saved (Sage)
Efficiency
improvement by
function on a
task-by-task basis
Critical workloads run
in multiple AZs and
Regions for robust
DR (Expedia)
Benefit of
improving SLAs
and reducing
unplanned outages
Launch of new
products 75%
faster (Unilever)
Deploying new
features applications
faster and
reducing errors
Most Compelling
Cloud Benefits
Typical
Focus
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Examples of Value Realized
Staff ProductivityCost Savings Operational Resilience Business Agility
80% reduction in software R&D times
(Apeejay Stya & Svrán)
Time to launch digital campaigns cut from
weeks to 24 hours (91App)
Calc and reporting time cut from 10 days to
10 minutes (Aon Benfield)
Time to market cut from weeks to hours
(FlyDubai)
Clinical simulations 98% faster than on-
premise (Bristol-Myers Squibb)
Time to deploy IT compute reduced to <5
minutes (Alcatel-Lucent)
R&D RFS times reduced from 6 months to 1
day (NewsCorp)
Provisioning time cut from 3–4 weeks to 2
days (ENEL)
Test-run time cut to 10 minutes, from up to
2 hours (Yelp)
Launch new products 75% faster (Unilever)
5M financial investment policies
recalculated in minutes instead of
overnight (ABSI)
DC footprint from 13 to 6 (The Weather
Co.)
DC footprint reduced from 8 to 3 by 2018
(CapitalOne)
Storage costs reduced by up to 60% (ENEL)
Migrated 500 servers, 1 PB storage, &100
DB servers in 3 months to AWS (Condé
Nast)
Over 50% reduction in TCO (GE)
DC footprint from 45 to 6 (News Corp)
50% reduction in app costs (Time Inc.)
Cost savings of $20M p.a. (FINRA)
Computational cost reduced by 20%+
(ENEL)
Cloud deployment has saved US$34 million
in CAPEX and reduced OPEX by 85%
(Samsung)
Cost reduction of $40k p.a. (Dow Jones)
Savings of $1.5M p.a. (Trainline)
30% reduction in OPEX (MacMillan)
12% reduction in OPEX (RWE Czech)
Scaled to handle a 400% increase in page
views (Kurt Geiger)
Improved security posture (CapitalOne)
8600 transactions/second (McDonalds)
Transfer of over 750 TB of data from
pipeline inspection machinery (GE)
Processing over 75 billion market events
daily (FINRA)
Critical applications run in multiple AZs, x-
Regions for robust disaster recovery
(Expedia)
Supports over 300,000 requests per minute
to its API (Easy Taxi)
60% reduced downtime (Trainline)
Migration of SAP on Oracle to AWS with
zero unplanned downtime across five
countries (Kellogg’s)
SAP availability boosted to 100%
(MacMillan)
Average annual staffing savings of $3M
(Adroll)
Energy Marketing business prepared for
acquisition in only 6 months rather than 12
(Hess Corp)
Half the infrastructure team required to
manage infrastructure (2C2P)
Performance targets over-achieved by 43–
66% (McDonalds)
IT Infra consolidation completed in 20% of
expected time (Hearst)
60% of IT working on data proliferation,
lack of standards, security hardening all of
which AWS is addressing (Intuit)
Over 500 hours per year of server
configuration time saved (Sage)
39 years of Computational chemistry
condensed into 9 hours (Novartis)
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cost Savings: Economics of the Cloud
Traditional hardware
Actual demand
AWS
Predicted demand
Key:
Infrastructure
cost $
Time
Large
capital
expenditure
Opportunity
cost
Lost
opportunity
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cost Savings: Modeling On-Premises
Facilities Cost
Space Power Cooling
Recurring ISP/bandwidth costs
Network hardware—LAN
switches, load balancer
Facilities Cost
Space Power Cooling
Storage software costs
(+ maintenance)
Hardware—Storage disks,
SAN/FC switches
1
2
3
Server Costs
Storage Costs
Network Costs
Facilities Cost
Space Power Cooling
Software—OS, virtualization
licenses (+ maintenance)
Hardware—Server, rack c
hassis PDUs, ToR switches
(+ maintenance)
Diagram doesn’t include every cost item. For example, software costs can include database, management, and
middle tier software costs. Facilities costs can include costs associated with upgrades, maintenance, building
security, taxes, and others.
illustrative
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cost Savings: Case Studies
“We’ve been able to seamlessly scale
our infrastructure, better serve our
customers across the globe, and
reduce our fixed costs by 75% and
operational costs by 83%.”
— Valentino Volonghi, CTO
“Three years on, we’ve saved over
$100 million in avoided capital and
are about 65% in the cloud.”
— Dominic Shine, CIO
“As a result of going all-in into the
AWS Cloud, the company reduced
costs by 40% and increased
operational performance
by 30–40%.”
“Saved $1M in hardware refresh
costs and $200K annually in
opex costs.”
“Estimated 15–20% annual opex
savings; realized 35%.”
“We’ve realized a 52% reduction in
TCO. That stems from a number of
factors... [a push for self-service,
dynamic storage, using lower-cost
VMs]. Ultimately, these savings are a
byproduct of doing the right thing.”
— Ben Cabanas, CTO
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Staff Productivity: Focus on Value-Add Work
Tactical (undifferentiated)
Strategic (differentiated)
Current state “Lift & shift” to AWS High-level AWS services
Activities
Customer maturity on AWS
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Task Typical Reduction Description
Server budgeting and planning 90%
There is no capital server budget or plan in the
AWS Cloud
Server purchasing process 75%
Instance purchasing requires minimal effort in
comparison to server purchasing
Long-term capacity planning 75%
Capacity planning is simply a matter of initiating new
instances based on thresholds and much of this can
be automated
Project budgeting and planning 75%
Project budgeting and planning effort should be
significantly reduced
Prepare detailed implementation plans 75%
Implementation plans will be reduced since instance
initiation is very straightforward
Arrange repair for hardware in occasion of
hardware failure
100% Not necessary with AWS
Installing/upgrading/removing software 50% Simplify and automate OS patching/updating
Staff Productivity: Example
Server Administrator
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Staff Productivity: Example
Server Administrator
Task Typical Reduction
Server budgeting and planning 90%
Server purchasing process 75%
Long-term capacity planning 75%
Project budgeting and planning 75%
Prepare detailed implementation plans 75%
Arrange repair for hardware in occasion
of hardware failure
100%
Installing, upgrading, and
removing software
50%
x
75% reduction w/AWS
18.8% efficiency gain
25% of time
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Staff Productivity: Case Studies
Pharma Services
Provider
“[Our staff] spends 60% of work on things
like data proliferation, lack of standards,
security hardening ... AWS is addressing
these needs.”
— Raji Arasu, SVP of Platform and Services
$3M staffing cost savings;
reduced operational costs by 83%
51% efficiency improvements in
compute-related functions;
20% improvement in application
development functions
Telco Provider
60% reduction in
application support FTEs
50% reduction in administrative
overhead, including server
management and backup operations
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Operational Resilience: Downtime Costs
Annual Fortune
1000 application
downtime costs (IDC)
$1.25 to
$2.5B
Cost/hr. of a critical
application failure
(IDC)
$500K
to $1M
Average cost of a
data breach
(Ponemon Institute)
$3.6M
Average cost per
lost or stolen
record (Ponemon)
$141
Average cost/hr.
of downtime
(Ponemon Institute)
$474K
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Operational Resilience: Quantifying Cost
Cost Category % of Total Definition
Third Parties 1.3% The cost of contractors, consultants, auditors and other specialists engaged to help resolve unplanned outages
Equipment 1.3% The cost of new equipment purchases and repairs, including refurbishments
Ex-post Activities 1.1% All after-the-fact incidental costs associated with business disruption and recovery
Recovery 2.9% Activities and associated costs that relate to bringing the organization’s networks and core systems back to a state of readiness
Detection 3.6% Activities associated with the initial discovery and subsequent investigation of the partial or complete outage incident
IT Productivity 8.4% The lost time and related expenses associated with IT personnel downtime
End-user Productivity 18.7% The lost time and related expenses associated with end-user downtime
Lost Revenue 28.2%
The Total revenue loss from customers and potential customers because their inability to access core systems during the
outage period
Business Disruption 34.6% Additional economic loss of the outage, including reputation damages customer churn and lost business opportunities
Total 100.0%
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Operational Resilience: Example
illustrative
FTE cost = $1,500/minute
1. Business user productivity
# of users = 1,500
FTE ($) = $125K
FTE cost = $750/minute
2. Other categories
~50% of cost
0.1% improvement = 525.6 minutes
X $2,250
$1.2M
Calculate cost-per-minute of unplanned downtime
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Operational Resilience: Case Studies
Using AWS, Travelstart has seized
opportunities in emerging markets
and has cut operational costs by
43% and downtime by 25%
“SAP applications have improved
from 90% to almost 100% since
moving to AWS.”
With its on-premises setup, the
availability of its system ran to 98%,
but on its cloud infrastructure, this
has risen to 99.965%
Migrated all workloads to AWS
to reduce downtime by 60%
with an annual savings of
£1.2M
Rebuilt patient engagement
portal on AWS and reduced
downtime from 120 to
<5 min/month
Migrated to AWS in 6 weeks with no
downtime and improved availability
to 99.99%+
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Business Agility: Track & Measure KPIs
KPI
New applications launched per year Mean time to resolution
Time to market for new applications Response time to defects (hrs)
% of new applications launched on-time % of failed deployments
Time to provision new environments (days) Customer retention (%)
Deployment frequency (revs/yr) Adoption of new features (%)
Time to deploy to production (weeks) “Value” per release ($ revenue potential)
Time to deploy to test (days) Employee retention (%)
Features per release Employee absenteeism (%)
Total # of incidents/defects Employee NPS/satisfaction
% of total defects found in test Customer NPS/satisfaction
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Business Agility: Example
Customer-facing application for a subscriber-based company
1. Time to market (TTM)
2. Conversion rates
3. Customer LTV
4. Clicks per month
6 months à 1 month
80% à 90%
$1K
10K
10K clicks/month x 10% conversion rate uplift x $1K LTV x 5 months
= $5M TTM benefit
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Business Agility: Case Studies
“More than 80% of IT expenditure at
AFG was consumed by IT operational
costs… Today, 60 percent of our IT
expenditure is dedicated
to innovation.”
“Our projects no longer last years—
they last months. Which means that
we can deliver new features to our
customers much faster than we
had before."
“We are able to use AWS to
reduce the time required to
deploy infrastructure from
weeks to days or hours.”
Increased product
development rate by 30%
Deploy instances 90% faster
Provisioning time reduced
from four weeks to two days
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Agility: Reduce the lead time needed to design,
develop, implement and test complex IT
environments for separation
• Moved 300 servers and 500TB of data to AWS
• Completed AWS migration in 6 months
• 50% faster than with physical servers
• Supported by the AWS Partner Network (APN)
• Separated systems prior to closing the deal
How Hess used AWS for its largest divestiture
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cost Savings: Decouple dependence on Hess’s IT
systems, so Hess does not continue to bear
operating costs of the sold business
• Completely decoupled IT assets before the sale
• Minimized capital expenditures
• AWS cost structure enabled them to buy only
what was necessary
How Hess used AWS for its largest divestiture
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Value: Attain the highest value for the divested
business unit.
• Largest divestiture in Hess’s history
• Gained $2.6B from the sale
• Beat analysts estimates
• Stock price reached highest intraday price
since 2008
How Hess used AWS for its largest divestiture
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Process to Build a Business Case
Kick off
Project overview
Executive alignment
Define timeline, scope, & roles
Review data
Initial analysis
ID open questions, assumptions
Initial
Assessment
Full assessment
Data Collection
(1–2 weeks)
Q&A
(~1 week)
Iterate & finalize
(~1 week)
Customer
Report Out
Full analysis
Incorporate new data
Repeat as needed
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Best Practices
1. Present the overall value of the cloud, not just TCO
2. Build the business case collaboratively with your stakeholders
in multiple iterations
3. Involve the right stakeholders (Finance, Procurement, IT, Engineering, Business)
4. Assign value to hard areas to quantify, like business agility
5. Start the business case process early in the decision-making process
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Resources to Get You Started
AWS TCO Calculator
https://awstcocalculator.com
AWS Economics Center
aws.amazon.com/economics/
Case Studies and Research
aws.amazon.com/solutions/case-studies
Value Realization Studies
Available Now
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cloud Value Framework
Cost
Savings (TCO)
Staff
Productivity
Operational
Resilience
Business
Agility
What is it?
Examples
Infrastructure cost
savings/avoidance
from moving to
the cloud
50%+ reduction in
TCO (GE)
Over 500 hours
per year of server
configuration time
saved (Sage)
Efficiency
improvement by
function on a
task-by-task basis
Critical workloads run
in multiple AZs and
Regions for robust
DR (Expedia)
Benefit of
improving SLAs
and reducing
unplanned outages
Launch of new
products 75%
faster (Unilever)
Deploying new
features applications
faster and
reducing errors
Most Compelling
Cloud Benefits
Typical
Focus
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Business
Agility
Launch of new
products 75%
faster (Unilever)
Deploying new
features applications
faster and
reducing errors
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Product Development
Product –
Market fit
Time
Scale
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Product Development (85% of the time)
Time
Scale
Product –
Market fit
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Innovation & Iteration
Time
Scale
Product –
Market fit
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
innovators love to experiment
https://www.flickr.com/photos/marsdd/
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
experiments confirm or reject
hypotheses. failure is not an option
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
innovators experiment using minimum
viable products (MVP)
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
MVPs do not increase
certainty - they reduce low-
hanging uncertainty
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
remember, just reducing
failed products from 90% to
80% is already a big deal
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Next Steps
• Start a cloud project with business value
• Accelerate Migration
• Promote Experimentation
• Optimize Cost Management
• Go Cloud Native
• Learn More
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Thank you!

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CFO Corner

  • 1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. CFO Corner Thomas Blood Enterprise Strategist, EMEA
  • 2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Cloud Value Framework Cost Savings (TCO) Staff Productivity Operational Resilience Business Agility What is it? Examples Infrastructure cost savings/avoidance from moving to the cloud 50%+ reduction in TCO (GE) Over 500 hours per year of server configuration time saved (Sage) Efficiency improvement by function on a task-by-task basis Critical workloads run in multiple AZs and Regions for robust DR (Expedia) Benefit of improving SLAs and reducing unplanned outages Launch of new products 75% faster (Unilever) Deploying new features applications faster and reducing errors Most Compelling Cloud Benefits Typical Focus
  • 3. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Examples of Value Realized Staff ProductivityCost Savings Operational Resilience Business Agility 80% reduction in software R&D times (Apeejay Stya & Svrán) Time to launch digital campaigns cut from weeks to 24 hours (91App) Calc and reporting time cut from 10 days to 10 minutes (Aon Benfield) Time to market cut from weeks to hours (FlyDubai) Clinical simulations 98% faster than on- premise (Bristol-Myers Squibb) Time to deploy IT compute reduced to <5 minutes (Alcatel-Lucent) R&D RFS times reduced from 6 months to 1 day (NewsCorp) Provisioning time cut from 3–4 weeks to 2 days (ENEL) Test-run time cut to 10 minutes, from up to 2 hours (Yelp) Launch new products 75% faster (Unilever) 5M financial investment policies recalculated in minutes instead of overnight (ABSI) DC footprint from 13 to 6 (The Weather Co.) DC footprint reduced from 8 to 3 by 2018 (CapitalOne) Storage costs reduced by up to 60% (ENEL) Migrated 500 servers, 1 PB storage, &100 DB servers in 3 months to AWS (Condé Nast) Over 50% reduction in TCO (GE) DC footprint from 45 to 6 (News Corp) 50% reduction in app costs (Time Inc.) Cost savings of $20M p.a. (FINRA) Computational cost reduced by 20%+ (ENEL) Cloud deployment has saved US$34 million in CAPEX and reduced OPEX by 85% (Samsung) Cost reduction of $40k p.a. (Dow Jones) Savings of $1.5M p.a. (Trainline) 30% reduction in OPEX (MacMillan) 12% reduction in OPEX (RWE Czech) Scaled to handle a 400% increase in page views (Kurt Geiger) Improved security posture (CapitalOne) 8600 transactions/second (McDonalds) Transfer of over 750 TB of data from pipeline inspection machinery (GE) Processing over 75 billion market events daily (FINRA) Critical applications run in multiple AZs, x- Regions for robust disaster recovery (Expedia) Supports over 300,000 requests per minute to its API (Easy Taxi) 60% reduced downtime (Trainline) Migration of SAP on Oracle to AWS with zero unplanned downtime across five countries (Kellogg’s) SAP availability boosted to 100% (MacMillan) Average annual staffing savings of $3M (Adroll) Energy Marketing business prepared for acquisition in only 6 months rather than 12 (Hess Corp) Half the infrastructure team required to manage infrastructure (2C2P) Performance targets over-achieved by 43– 66% (McDonalds) IT Infra consolidation completed in 20% of expected time (Hearst) 60% of IT working on data proliferation, lack of standards, security hardening all of which AWS is addressing (Intuit) Over 500 hours per year of server configuration time saved (Sage) 39 years of Computational chemistry condensed into 9 hours (Novartis)
  • 4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Cost Savings: Economics of the Cloud Traditional hardware Actual demand AWS Predicted demand Key: Infrastructure cost $ Time Large capital expenditure Opportunity cost Lost opportunity
  • 5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Cost Savings: Modeling On-Premises Facilities Cost Space Power Cooling Recurring ISP/bandwidth costs Network hardware—LAN switches, load balancer Facilities Cost Space Power Cooling Storage software costs (+ maintenance) Hardware—Storage disks, SAN/FC switches 1 2 3 Server Costs Storage Costs Network Costs Facilities Cost Space Power Cooling Software—OS, virtualization licenses (+ maintenance) Hardware—Server, rack c hassis PDUs, ToR switches (+ maintenance) Diagram doesn’t include every cost item. For example, software costs can include database, management, and middle tier software costs. Facilities costs can include costs associated with upgrades, maintenance, building security, taxes, and others. illustrative
  • 6. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
  • 8. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Cost Savings: Case Studies “We’ve been able to seamlessly scale our infrastructure, better serve our customers across the globe, and reduce our fixed costs by 75% and operational costs by 83%.” — Valentino Volonghi, CTO “Three years on, we’ve saved over $100 million in avoided capital and are about 65% in the cloud.” — Dominic Shine, CIO “As a result of going all-in into the AWS Cloud, the company reduced costs by 40% and increased operational performance by 30–40%.” “Saved $1M in hardware refresh costs and $200K annually in opex costs.” “Estimated 15–20% annual opex savings; realized 35%.” “We’ve realized a 52% reduction in TCO. That stems from a number of factors... [a push for self-service, dynamic storage, using lower-cost VMs]. Ultimately, these savings are a byproduct of doing the right thing.” — Ben Cabanas, CTO
  • 9. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Staff Productivity: Focus on Value-Add Work Tactical (undifferentiated) Strategic (differentiated) Current state “Lift & shift” to AWS High-level AWS services Activities Customer maturity on AWS
  • 10. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Task Typical Reduction Description Server budgeting and planning 90% There is no capital server budget or plan in the AWS Cloud Server purchasing process 75% Instance purchasing requires minimal effort in comparison to server purchasing Long-term capacity planning 75% Capacity planning is simply a matter of initiating new instances based on thresholds and much of this can be automated Project budgeting and planning 75% Project budgeting and planning effort should be significantly reduced Prepare detailed implementation plans 75% Implementation plans will be reduced since instance initiation is very straightforward Arrange repair for hardware in occasion of hardware failure 100% Not necessary with AWS Installing/upgrading/removing software 50% Simplify and automate OS patching/updating Staff Productivity: Example Server Administrator
  • 11. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Staff Productivity: Example Server Administrator Task Typical Reduction Server budgeting and planning 90% Server purchasing process 75% Long-term capacity planning 75% Project budgeting and planning 75% Prepare detailed implementation plans 75% Arrange repair for hardware in occasion of hardware failure 100% Installing, upgrading, and removing software 50% x 75% reduction w/AWS 18.8% efficiency gain 25% of time
  • 12. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Staff Productivity: Case Studies Pharma Services Provider “[Our staff] spends 60% of work on things like data proliferation, lack of standards, security hardening ... AWS is addressing these needs.” — Raji Arasu, SVP of Platform and Services $3M staffing cost savings; reduced operational costs by 83% 51% efficiency improvements in compute-related functions; 20% improvement in application development functions Telco Provider 60% reduction in application support FTEs 50% reduction in administrative overhead, including server management and backup operations
  • 13. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Operational Resilience: Downtime Costs Annual Fortune 1000 application downtime costs (IDC) $1.25 to $2.5B Cost/hr. of a critical application failure (IDC) $500K to $1M Average cost of a data breach (Ponemon Institute) $3.6M Average cost per lost or stolen record (Ponemon) $141 Average cost/hr. of downtime (Ponemon Institute) $474K
  • 14. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Operational Resilience: Quantifying Cost Cost Category % of Total Definition Third Parties 1.3% The cost of contractors, consultants, auditors and other specialists engaged to help resolve unplanned outages Equipment 1.3% The cost of new equipment purchases and repairs, including refurbishments Ex-post Activities 1.1% All after-the-fact incidental costs associated with business disruption and recovery Recovery 2.9% Activities and associated costs that relate to bringing the organization’s networks and core systems back to a state of readiness Detection 3.6% Activities associated with the initial discovery and subsequent investigation of the partial or complete outage incident IT Productivity 8.4% The lost time and related expenses associated with IT personnel downtime End-user Productivity 18.7% The lost time and related expenses associated with end-user downtime Lost Revenue 28.2% The Total revenue loss from customers and potential customers because their inability to access core systems during the outage period Business Disruption 34.6% Additional economic loss of the outage, including reputation damages customer churn and lost business opportunities Total 100.0%
  • 15. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Operational Resilience: Example illustrative FTE cost = $1,500/minute 1. Business user productivity # of users = 1,500 FTE ($) = $125K FTE cost = $750/minute 2. Other categories ~50% of cost 0.1% improvement = 525.6 minutes X $2,250 $1.2M Calculate cost-per-minute of unplanned downtime
  • 16. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Operational Resilience: Case Studies Using AWS, Travelstart has seized opportunities in emerging markets and has cut operational costs by 43% and downtime by 25% “SAP applications have improved from 90% to almost 100% since moving to AWS.” With its on-premises setup, the availability of its system ran to 98%, but on its cloud infrastructure, this has risen to 99.965% Migrated all workloads to AWS to reduce downtime by 60% with an annual savings of £1.2M Rebuilt patient engagement portal on AWS and reduced downtime from 120 to <5 min/month Migrated to AWS in 6 weeks with no downtime and improved availability to 99.99%+
  • 17. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Business Agility: Track & Measure KPIs KPI New applications launched per year Mean time to resolution Time to market for new applications Response time to defects (hrs) % of new applications launched on-time % of failed deployments Time to provision new environments (days) Customer retention (%) Deployment frequency (revs/yr) Adoption of new features (%) Time to deploy to production (weeks) “Value” per release ($ revenue potential) Time to deploy to test (days) Employee retention (%) Features per release Employee absenteeism (%) Total # of incidents/defects Employee NPS/satisfaction % of total defects found in test Customer NPS/satisfaction
  • 18. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Business Agility: Example Customer-facing application for a subscriber-based company 1. Time to market (TTM) 2. Conversion rates 3. Customer LTV 4. Clicks per month 6 months à 1 month 80% à 90% $1K 10K 10K clicks/month x 10% conversion rate uplift x $1K LTV x 5 months = $5M TTM benefit
  • 19. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Business Agility: Case Studies “More than 80% of IT expenditure at AFG was consumed by IT operational costs… Today, 60 percent of our IT expenditure is dedicated to innovation.” “Our projects no longer last years— they last months. Which means that we can deliver new features to our customers much faster than we had before." “We are able to use AWS to reduce the time required to deploy infrastructure from weeks to days or hours.” Increased product development rate by 30% Deploy instances 90% faster Provisioning time reduced from four weeks to two days
  • 20. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Agility: Reduce the lead time needed to design, develop, implement and test complex IT environments for separation • Moved 300 servers and 500TB of data to AWS • Completed AWS migration in 6 months • 50% faster than with physical servers • Supported by the AWS Partner Network (APN) • Separated systems prior to closing the deal How Hess used AWS for its largest divestiture
  • 21. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Cost Savings: Decouple dependence on Hess’s IT systems, so Hess does not continue to bear operating costs of the sold business • Completely decoupled IT assets before the sale • Minimized capital expenditures • AWS cost structure enabled them to buy only what was necessary How Hess used AWS for its largest divestiture
  • 22. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Value: Attain the highest value for the divested business unit. • Largest divestiture in Hess’s history • Gained $2.6B from the sale • Beat analysts estimates • Stock price reached highest intraday price since 2008 How Hess used AWS for its largest divestiture
  • 23. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Process to Build a Business Case Kick off Project overview Executive alignment Define timeline, scope, & roles Review data Initial analysis ID open questions, assumptions Initial Assessment Full assessment Data Collection (1–2 weeks) Q&A (~1 week) Iterate & finalize (~1 week) Customer Report Out Full analysis Incorporate new data Repeat as needed
  • 24. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Best Practices 1. Present the overall value of the cloud, not just TCO 2. Build the business case collaboratively with your stakeholders in multiple iterations 3. Involve the right stakeholders (Finance, Procurement, IT, Engineering, Business) 4. Assign value to hard areas to quantify, like business agility 5. Start the business case process early in the decision-making process
  • 25. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Resources to Get You Started AWS TCO Calculator https://awstcocalculator.com AWS Economics Center aws.amazon.com/economics/ Case Studies and Research aws.amazon.com/solutions/case-studies Value Realization Studies Available Now
  • 26. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Cloud Value Framework Cost Savings (TCO) Staff Productivity Operational Resilience Business Agility What is it? Examples Infrastructure cost savings/avoidance from moving to the cloud 50%+ reduction in TCO (GE) Over 500 hours per year of server configuration time saved (Sage) Efficiency improvement by function on a task-by-task basis Critical workloads run in multiple AZs and Regions for robust DR (Expedia) Benefit of improving SLAs and reducing unplanned outages Launch of new products 75% faster (Unilever) Deploying new features applications faster and reducing errors Most Compelling Cloud Benefits Typical Focus
  • 27. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Business Agility Launch of new products 75% faster (Unilever) Deploying new features applications faster and reducing errors
  • 28. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Product Development Product – Market fit Time Scale
  • 29. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Product Development (85% of the time) Time Scale Product – Market fit
  • 30. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Innovation & Iteration Time Scale Product – Market fit
  • 31. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. innovators love to experiment https://www.flickr.com/photos/marsdd/
  • 32. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. experiments confirm or reject hypotheses. failure is not an option
  • 33. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. innovators experiment using minimum viable products (MVP)
  • 34. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. MVPs do not increase certainty - they reduce low- hanging uncertainty
  • 35. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. remember, just reducing failed products from 90% to 80% is already a big deal
  • 36. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Next Steps • Start a cloud project with business value • Accelerate Migration • Promote Experimentation • Optimize Cost Management • Go Cloud Native • Learn More
  • 37. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Thank you!