If you are crafting a better customer experience, automating your business, or modernizing your systems, you are likely finding that your data and analytics platform is absolutely critical to your success. In this session, we will look at how customers are building on the managed services from Amazon Web Services to meet the needs of the business. Patterns we see gaining popularity are near-real time engagement with customers over mobile, also combining and analyzing unstructured consumer behavior with structured transactional data, as well as managing spiky data workloads. See how our customers use our managed, elastic, secure, and highly available services to change what is possible.

1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Blair Layton, Business Development, APAC
May 2016
Building a business-friendly platform
Big Data and Analytics on AWS

2. Content
• Cases in business-led Big Data solutions
• Finding your shortest path to results

3. Three big indicators of individual behavior
Purchases Movement Influence

4. A platform to build business outcomes from data
Purchases
Movement
Influence
Ingest/
Collect
Consume/
visualize
Store
Process/
analyze
1 4
0 9
5
Revenue Lift
Market
acquisition
Customer delight
Brand advocacy
Inventory
optimization
Supply chain
efficiency
...

5. Business case determines platform design
Ingest/
Collect
Consume/
visualize
Store
Process/
analyze
Data
1 4
0 9
5
Answers &
Insights
START HERE
WITH A BUSINESS CASE

6. Modernization Go mobile Data platform Automation Engagement IOT
Excellence in data Excellence in analytics
Six common categories of investments in Big Data

7. Capture windows of opportunity

8. A full-service residential real estate brokerage
Redfin manages data on
hundreds of millions
of properties and
millions of customers
The Hot Homes algorithm
automatically calculates
the likelihood by analyzing
more than 500 attributes
of each home
Was fully AWS-native
since day one
https://aws.amazon.com/solutions/case-studies/redfin/

9. Hot Homes
Modernization Go mobile Data platform Automation Engagement IOT
There's an 80% chance this home will sell in the next 11 days – go tour it soon.

10. Ingest/
Collect
Consume/
visualize
Store
Process/
analyze
Data
1 4
0 9
5
Amazon S3
Data lake
Amazon EMR
Amazon
Kinesis
Amazon RedShift
Answers &
Insights
Hot HomesUsers
Properties
Agents
User Profile
Recommendation
Hot Homes
Similar Homes
Agent Follow-up
Agent Scorecard
Marketing
A/B Testing
Real Time Data
…
Amazon
DynamoDB
BI / Reporting

11. Modernize and decouple to innovate

12. One of Vietnam's largest private sector companies
Leads the market in many
segments of CPG, and
serves retailers nationwide
with a diverse range of
food and beverage
products
Due to the transportation
infrastructure, it must
manage a complex supply
and delivery chain, with
limited downstream
visibility
With visionaries that are
driving the group to new
innovations, they need to
modernize and decouple
legacy technologies
Large Vietnamese Manufacturing Conglomerate

13. Modernization Go mobile Data platform Automation Engagement IOT
Need to create incentives for motorbike delivery team to fill underserved markets
Created mobile applications that track the delivery performance of the various
contractors and employees, and the consumption of goods at the point of sale.
The mobile apps use behavioral analysis to understand what is impacting
performance and a gamification engine has been introduced.
Large Vietnamese Manufacturing Conglomerate

14. Ingest/
Collect
Consume/
visualize
Store
Process/
analyze
Data
1 4
0 9
5
Amazon S3
Data lake
Amazon EMR
Amazon RedShift
Answers &
Insights
Mobile usage
Performance by category,
channel, and region
Demand forecast
Incentives to fill
underserved markets
Gamification of channel
sales
Supply chain visibility
…
Transactions
On-premises
Transactional
Database
CRM
On-premises
CRM system
Legacy BI /
Report Users
Large Vietnamese Manufacturing Conglomerate

15. Media streaming
Free steak campaign
Disaster recovery
Facebook app
Ground campaign
SAP & SharePoint
Marketing web site
Social Media Monitoring
Consumer social app
IT operations
Mars exploration ops
Interactive TV apps
Consumer social app
Securities Trading Data Archiving
Financial markets analytics
Web and mobile apps
Big data analytics
Digital media
Ticket pricing optimization
Streaming webcasts
Mobile analytics
Consumer social app
Core IT and media
Demand forecasting
Operations insights

16. Content
• Cases in business-led Big Data solutions
• Finding your shortest path to results

17. Amazon Redshift Amazon Elastic
MapReduce
Data Warehouse Semi-structured
Amazon Glacier
Use an optimal combination of highly interoperable services
Amazon Simple
Storage Service
Data Storage Archive
Amazon
DynamoDB
Amazon Machine
Learning
Amazon Kinesis
NoSQL Predictive Models Other AppsStreaming

18. Administration
& Security
Access
Control
Identity
Management
Key Management
& Storage
Monitoring
& Logs
Resource &
Usage Auditing
Platform
Services
Analytics App Services Developer Tools & Operations Mobile Services
Data
Pipelines
Data
Warehouse
Hadoop
Real-time
Streaming Data
Application
Lifecycle
Management
Containers
Deployment
DevOps
Event-driven
Computing
Resource
Templates
Identity
Mobile
Analytics
Push
Notifications
Sync
App
Streaming
Email
Queuing &
Notifications
Search
Transcoding
Workflow
Core
Services
CDN
Compute
(VMs, Auto-scaling
& Load Balancing)
Databases
(Relational,
NoSQL, Caching)
Networking
(VPC, DX, DNS)
Storage
(Object, Block
and Archival)
Infrastructure
Availability
Zones
Points of
Presence
Regions
Enterprise
Applications
Business
Email
Sharing &
Collaboration
Virtual
Desktop
Technical &
Business Support
Account
Management
Partner
Ecosystem
Professional
Services
Security &
Pricing Reports
Solutions
Architects
Support
Training &
Certification

19. Experiment and scale based on your business needs
Ingest/
Collect
Consume/
visualize
Store
Process/
analyze
Data
1 4
0 9
5
Answers &
Insights
SHORT LIST
BUSINESS CASES
Modernization Automation

20. Experiment and scale based on your business needs
MATCH
AVAILABLE DATA
Metrics and
Monitoring
Workflow
Logs
ERP
Transactions
Ingest/
Collect
Consume/
visualize
Store
Process/
analyze
Data
1 4
0 9
5
Answers &
Insights

21. Experiment and scale based on your business needs
AWS
Import/ Export
Amazon S3
Amazon
Kinesis
Amazon
EMR
Ingest/
Collect
Consume/
visualize
Store
Process/
analyze
Data
1 4
0 9
5
Answers &
Insights
Amazon
Redshift
Amazon
QuickSight
Amazon
SQS
CHOOSE
BEST FIT

22. Rethink how to become a data-
driven business
• Business outcomes - start with the insights and
actions you want to drive, then work backwards to a
streamlined design
• Experimentation - start small, test many ideas,
keep the good ones and scale those up, paying only
for what you consume
• Agile and timely - deploy data processing

23. Thank you!