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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.
Logrando valor de negocio con AWS
Américo de Paula
LATAM Solutions Architecture Manager
Octubre 2018
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Agenda
1
Cloud
value framework
2
Areas de valor para el
negocio
Cost savings
Staff productivity
Operational resilience
Business agility
3
Procesos &
mejores
prácticas
© 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
Qué es?
Ejemplos
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.
Ejemplos de Valores Obtenidos
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.
Ejemplo Resultado Cloud Value Framework
Server
Storage
Network
$1,093,514
$688,514
$154,640
Savings
Staff ProductivityCost Savings Operational Resilience Business Agility
Total $1,936,688
Infrastructure
Facilities
Network
$405,000
$270,000
$337,500
Impr
$1,012,500
Value
30%
80%
20%
eCommerce1
After
$1,432,343
Value
99.00%
Before
99.50% $1,432,343 Time to Deploy
Total Defects
Customer NPS
Employee NPS
$656,232
$640,360
$1,302,274
$1,751,055
Impr
$4,349,922
Value
22.0%
35.0%
50.0%
33.3%
KPIUptime
TOTAL ANNUAL BENEFIT $8,731,433
Typical Focus Most Compelling Cloud Benefits
© 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: Modelando 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.
Cost Savings: Ejemplo
1 non-virtualized physical server, 16 cores, & 64 GB RAM at 50% utilization
1 c4.4xl (3 yr TCO)
Server HW
Maintenance
Rack
Facilities
Labor
Software
TOTAL (3 yr)
$8K
$3.6K
$2K
$10.8K
$4K
$0
$28.4K
On premises
EC2 3-yr RI
Labor
Support
TOTAL (3 yr)
$8K
$1K
$1K
$10K
AWS
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Cost Savings: Estudios de Caso
“Logramos facilmente escalar
nuestra infrastructura, servir mejor
nuestros clientes en nivel global,
reducir nuestros costos fijos en 75%
y costos operacionales en 83%.”
— Valentino Volonghi, CTO
“3 años en esto, ya ahorramos más
de $100 millones en gastos de
capital y ya tenemos 65% en
cloud.”
— Dominic Shine, CIO
“Como resultado del all-in para
AWS Cloud, la empresa logró
reducir costs en 40% y mejorar
performance operacional en
30–40%.”
“Ahorramos $1M en costos de
renovación de hardware y
$200K anuales de costos opex.”
“Estimamos 15–20% de ahorros
anuales de opex; y obtuvimos
35%.”
“Tuvimos una reducción de 52% en
TCO, que viene de varios factores...
[self-service, storage dinámico, uso de
VMs de bajo costo]. Finalmente, estes
ahorros son un producto de hacer los
cosas correctas.”
— 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: Enfoque en Valor Añadido
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: Ejemplo
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: Ejemplo
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: Estudios de Caso
Pharma Services
Provider
“[Nuestro equipo] gasta 60% del trabajo en
cosas como proliferación de datos, falta de
standards, temas de seguridad ... AWS está
ayudando con estas necesidases.”
— Raji Arasu, SVP of Platform and Services
$3M de ahorro en costos con
staffing; reducción de costos
operacionales en 83%
51% mejoras de eficiencia en
funciones de cómputo;
20% de mejora en funciones de
desarrollo de applicaciones
Telco Provider
60% de reducción en
recursos para soporte de
aplicaciones
50% de reducción en overhead
administrativo, incluyendo gestión de
servidores y operaciones de backup
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Operational Resilience: Costs de Downtime
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: 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
$1.2M
Calculate cost-per-minute of unplanned downtime
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Operational Resilience: Estudios de Caso
Con AWS, Travelstart abrió
oportunidades en mercados
emergentes y cortó costos
operativos en 43% y downtime en
25%
“Aplicaciones SAP subieron de
90% para casi 100% desde que
movimos para AWS.”
Con su infraestructura on-premises,
la disponibilidad de sus sistemas
estaban en 98%, pero con la
infrastructura en cloud, esto subió
para 99.965%
Migró todos workloads para
AWS para reducir downtime en
60% con ahorros anuales de
£1.2M
Rebuilt de su portal de acceso a
pacientes en AWS y reducció
downtime de 120 para
<5 min/més
Migró para AWS en 6 semanas sin
downtime y mejoró disponibilidad
para 99.99%+
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Business Agility: Track & Measure KPIs
KPI
New applications launched per year Mean time to resolution
Time to market for new applications Response time to defects (hrs)
% of new applications launched on-time % of failed deployments
Time to provision new environments (days) Customer retention (%)
Deployment frequency (revs/yr) Adoption of new features (%)
Time to deploy to production (weeks) “Value” per release ($ 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: Ejemplo
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: Estudios de Caso
“Más de 80% de los gastos de IT eran
consumidos por costos operacionales
de IT… Hoy, 60% de nuestros gastos
de IT son dedicados para inovación.”
“Nuestros proyectos no llevan más
años — llevan meses. Esto significa
que podemos entregar nuevas
funcionalidades para nuestros
clientes mucho más rápido que
antes."
“Fuimos capaces de usar
AWS y reducir el tiempo
requierido para deploy de
infrastructura de semanas
para días o horas.”
Incrementó velocidad de
desarrollo de productos en
30%
Deploy instancias 90% más
rápido
Tiempo de provisionamiento
reducido de 4 semanas para
2 días
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Mejores Prácticas
1. Presentar el valor total de cloud, no solamente el TCO
2. Armar el business case de forma colaborativa com sus stakeholders
en múltiples iteracciones
3. Involucre los stakeholders correctos (Finanzas, Compras, IT, Inginiería, Negócio)
4. Assignar valor para áreas difíciles de quantificas, como “Business Agility”
5. Empiece el proceso de business case temprano en el proceso de toma de decisión
23
El nuevo esquema de Aseo de Bogotá basado en datos:
ejemplo de innovación con tecnología
Javier Torres Páez – Asesor TIC UAESP
Director de Consultoría de Yobiplex Corporation
El nuevo esquema de Aseo
de Bogotá basado en datos:
Ejemplo de innovación con
tecnología
DIFICULTADES QUE DEBÍAN SER CORREGIDAS
▪ En la calidad del servicio
▪ En la oportunidad de la información
▪ En los mecanismos de control y seguimiento
25
26
27
FASES DE IMPLEMENTACIÓN
28
Básico
Versión 1.0
Versión 1.1
Versión 2.0
Agosto 12
Mes
6
Mes
12
Mes
18
Mes
24
Febrero 12 Agosto 12 Febrero 12
2018 2019 2020
SIGAB
EPISA
CONSECIONARIOS
Portal
SIGAB
Tablero
de Control
APP Ventanilla
Única
Datos
Abiertos
SIGAB
Módulo de Gestión de Información
Modulo de validación y consolidación
Módulo de Interoperabilidad - PDI
Módulo
Administración
del sistema
Módulo Gestión
atención al
Usuario (PQRS,
centro contacto)
Módulo
Gestión
comercial y
financiera
Módulo
Gestión técnico
operativa
Sistema
Transacciones
APLICACIÓN MÓVIL
30
ÚLTIMAS TECNOLOGÍAS INCORPORADAS
Big Data Analytics Cloud Computing APPsIoT
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Recursos para Empezar
AWS TCO Calculator
https://awstcocalculator.com
AWS Economics Center
aws.amazon.com/economics/
Estudios de Caso y Reportes
aws.amazon.com/solutions/case-studies
Estudios de Valor
Disponibles Ahora
© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Gracias!
Américo de Paula
LATAM Solutions Architecture Manager
Octubre 2018

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Logrando valor de negocio con AWS

  • 1. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Logrando valor de negocio con AWS Américo de Paula LATAM Solutions Architecture Manager Octubre 2018
  • 2. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Agenda 1 Cloud value framework 2 Areas de valor para el negocio Cost savings Staff productivity Operational resilience Business agility 3 Procesos & mejores prácticas
  • 3. © 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 Qué es? Ejemplos 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
  • 4. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Ejemplos de Valores Obtenidos 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)
  • 5. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Ejemplo Resultado Cloud Value Framework Server Storage Network $1,093,514 $688,514 $154,640 Savings Staff ProductivityCost Savings Operational Resilience Business Agility Total $1,936,688 Infrastructure Facilities Network $405,000 $270,000 $337,500 Impr $1,012,500 Value 30% 80% 20% eCommerce1 After $1,432,343 Value 99.00% Before 99.50% $1,432,343 Time to Deploy Total Defects Customer NPS Employee NPS $656,232 $640,360 $1,302,274 $1,751,055 Impr $4,349,922 Value 22.0% 35.0% 50.0% 33.3% KPIUptime TOTAL ANNUAL BENEFIT $8,731,433 Typical Focus Most Compelling Cloud Benefits
  • 6. © 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
  • 7. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Cost Savings: Modelando 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
  • 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: Ejemplo 1 non-virtualized physical server, 16 cores, & 64 GB RAM at 50% utilization 1 c4.4xl (3 yr TCO) Server HW Maintenance Rack Facilities Labor Software TOTAL (3 yr) $8K $3.6K $2K $10.8K $4K $0 $28.4K On premises EC2 3-yr RI Labor Support TOTAL (3 yr) $8K $1K $1K $10K AWS
  • 9. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Cost Savings: Estudios de Caso “Logramos facilmente escalar nuestra infrastructura, servir mejor nuestros clientes en nivel global, reducir nuestros costos fijos en 75% y costos operacionales en 83%.” — Valentino Volonghi, CTO “3 años en esto, ya ahorramos más de $100 millones en gastos de capital y ya tenemos 65% en cloud.” — Dominic Shine, CIO “Como resultado del all-in para AWS Cloud, la empresa logró reducir costs en 40% y mejorar performance operacional en 30–40%.” “Ahorramos $1M en costos de renovación de hardware y $200K anuales de costos opex.” “Estimamos 15–20% de ahorros anuales de opex; y obtuvimos 35%.” “Tuvimos una reducción de 52% en TCO, que viene de varios factores... [self-service, storage dinámico, uso de VMs de bajo costo]. Finalmente, estes ahorros son un producto de hacer los cosas correctas.” — Ben Cabanas, CTO
  • 10. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Staff Productivity: Enfoque en Valor Añadido Tactical (undifferentiated) Strategic (differentiated) Current state “Lift & shift” to AWS High-level AWS services Activities Customer maturity on AWS
  • 11. © 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: Ejemplo Server Administrator
  • 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: Ejemplo 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
  • 13. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Staff Productivity: Estudios de Caso Pharma Services Provider “[Nuestro equipo] gasta 60% del trabajo en cosas como proliferación de datos, falta de standards, temas de seguridad ... AWS está ayudando con estas necesidases.” — Raji Arasu, SVP of Platform and Services $3M de ahorro en costos con staffing; reducción de costos operacionales en 83% 51% mejoras de eficiencia en funciones de cómputo; 20% de mejora en funciones de desarrollo de applicaciones Telco Provider 60% de reducción en recursos para soporte de aplicaciones 50% de reducción en overhead administrativo, incluyendo gestión de servidores y operaciones de backup
  • 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: Costs de Downtime 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
  • 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 $1.2M Calculate cost-per-minute of unplanned downtime
  • 16. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Operational Resilience: Estudios de Caso Con AWS, Travelstart abrió oportunidades en mercados emergentes y cortó costos operativos en 43% y downtime en 25% “Aplicaciones SAP subieron de 90% para casi 100% desde que movimos para AWS.” Con su infraestructura on-premises, la disponibilidad de sus sistemas estaban en 98%, pero con la infrastructura en cloud, esto subió para 99.965% Migró todos workloads para AWS para reducir downtime en 60% con ahorros anuales de £1.2M Rebuilt de su portal de acceso a pacientes en AWS y reducció downtime de 120 para <5 min/més Migró para AWS en 6 semanas sin downtime y mejoró disponibilidad para 99.99%+
  • 17. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Business Agility: Track & Measure KPIs KPI New applications launched per year Mean time to resolution Time to market for new applications Response time to defects (hrs) % of new applications launched on-time % of failed deployments Time to provision new environments (days) Customer retention (%) Deployment frequency (revs/yr) Adoption of new features (%) Time to deploy to production (weeks) “Value” per release ($ 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: Ejemplo 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: Estudios de Caso “Más de 80% de los gastos de IT eran consumidos por costos operacionales de IT… Hoy, 60% de nuestros gastos de IT son dedicados para inovación.” “Nuestros proyectos no llevan más años — llevan meses. Esto significa que podemos entregar nuevas funcionalidades para nuestros clientes mucho más rápido que antes." “Fuimos capaces de usar AWS y reducir el tiempo requierido para deploy de infrastructura de semanas para días o horas.” Incrementó velocidad de desarrollo de productos en 30% Deploy instancias 90% más rápido Tiempo de provisionamiento reducido de 4 semanas para 2 días
  • 20. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Mejores Prácticas 1. Presentar el valor total de cloud, no solamente el TCO 2. Armar el business case de forma colaborativa com sus stakeholders en múltiples iteracciones 3. Involucre los stakeholders correctos (Finanzas, Compras, IT, Inginiería, Negócio) 4. Assignar valor para áreas difíciles de quantificas, como “Business Agility” 5. Empiece el proceso de business case temprano en el proceso de toma de decisión
  • 21. 23 El nuevo esquema de Aseo de Bogotá basado en datos: ejemplo de innovación con tecnología Javier Torres Páez – Asesor TIC UAESP Director de Consultoría de Yobiplex Corporation
  • 22. El nuevo esquema de Aseo de Bogotá basado en datos: Ejemplo de innovación con tecnología
  • 23. DIFICULTADES QUE DEBÍAN SER CORREGIDAS ▪ En la calidad del servicio ▪ En la oportunidad de la información ▪ En los mecanismos de control y seguimiento 25
  • 24. 26
  • 25. 27
  • 26. FASES DE IMPLEMENTACIÓN 28 Básico Versión 1.0 Versión 1.1 Versión 2.0 Agosto 12 Mes 6 Mes 12 Mes 18 Mes 24 Febrero 12 Agosto 12 Febrero 12 2018 2019 2020
  • 27. SIGAB EPISA CONSECIONARIOS Portal SIGAB Tablero de Control APP Ventanilla Única Datos Abiertos SIGAB Módulo de Gestión de Información Modulo de validación y consolidación Módulo de Interoperabilidad - PDI Módulo Administración del sistema Módulo Gestión atención al Usuario (PQRS, centro contacto) Módulo Gestión comercial y financiera Módulo Gestión técnico operativa Sistema Transacciones
  • 29. ÚLTIMAS TECNOLOGÍAS INCORPORADAS Big Data Analytics Cloud Computing APPsIoT
  • 30. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Recursos para Empezar AWS TCO Calculator https://awstcocalculator.com AWS Economics Center aws.amazon.com/economics/ Estudios de Caso y Reportes aws.amazon.com/solutions/case-studies Estudios de Valor Disponibles Ahora
  • 31. © 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved.© 2018, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Gracias! Américo de Paula LATAM Solutions Architecture Manager Octubre 2018