From Insights to Action, How to build and maintain a Data Driven Organization - 발표자: Mary Law, Head of Korea Data Solution Architect, WWSO, AWS ::: AWS Data Roadshow 2023

AWS DATA WEEK 2023
© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Mary Law (She/Her)
Head of Data Portfolio Solution Architect
President, AWS She Builds
From Insights to Action,
How to build and maintain a Data
Driven Organization

AWS DATA WEEK 2023
To Survive
Cost optimized, save time, perform at
scale, make faster & better decisions in
different business environment
Data is growing faster and diverse than ever
To Thrive
Modern data strategy that will grow with
you in the future, put data to work, and
invent new experiences and stay relevant
for the future
of today’s data has been created in
the last 2 years alone
Statistic provided by
Worldwide IDC Global DataSphere Forecast, 2022–2026
90%
of companies reported that
they are
Statistic provided by

AWS DATA WEEK 2023
© 2023, Amazon Web Services, Inc. or its affiliates. All rights reserved. 3
Common Customer challenges
Difficulty finding data
across multiple
accounts and Regions
Data sources
increasing with the
pace of the business
Technical barriers
limiting access to tools
No single
environment for
different users to
collaborate
Enterprises need
stronger governance
to protect their data so
that it can be used
safely

AWS DATA WEEK 2023
The Data Driven Organization
“An organization that harnesses data
as an asset, to drive sustained
innovation and create actionable
insights to supercharge the
experience for their customers so
they demand more.”
92% of companies cite culture – people, process,
organization, and change management - as the biggest
impediment.
Think Big, Start Small, Scale Fast

AWS DATA WEEK 2023
Data is an
organizational asset
Data is
accessible
Data is put
to work
No longer kept in silos
or as the property of
individual departments
Available easily and securely
to anyone who needs
access to it
Used in analytics and ML
to make better decisions,
create efficiencies, and
drive new innovations
What does a data-driven organization look like?

AWS DATA WEEK 2023
Improve
operational efficiency
Make more
informed decisions
Accelerate
innovation
Increase agility, run your
business more efficiently, and
provide a better experience
for customers by moving data
to the cloud.
Inform business decision
making with more meaningful
insights by bringing together
the full picture of data across
your organization.
Unlocks opportunities that were
either too difficult or impossible
to do before by automating
processes with AI and
machine learning.
Three core business outcomes

AWS DATA WEEK 2023
Becoming a data-driven operation
C o m m o n C h a l l e n g e s D a t a - d r i v e n A s p i r a t i o n
Automated workflows that drive insights
to actions
Single, secure data repository for
operations and machine learning
Fully-managed systems, scale based on
data sources and volume
Integration of disparate data silos
across organization, trust of data
High-cost and effort to
manage OT systems and data
Reports and dashboards not
enough, many manual processes
7

AWS DATA WEEK 2023
What Does it Mean to be Data Driven?
How are decisions made?
Test and measure ideas with data;
continuously evaluate with
feedback
33 million+
experiments
How does work get done?
Decentralized decision-making
Small autonomous teams
3,000+ teams
innovating with
data
How is technology built?
Adapts to business priorities
Purpose-built data stores
1.1M data points per
second from 120
sensors
How is data perceived?
Products not platforms
A collective asset shared across
business lines
25 business units
accessing a common
data hub
Where is time spent?
Innovating to solve customer
priorities, rather than finding and
accessing data
Richard Joyce, Senior Analyst at Forrester:
“For a typical Fortune 1000 company, just a
10% increase in data accessibility will result
in more than $65M additional net income.”
What outcomes are seen?
415% 5-year ROI
48% reduced cost
$4.1M new revenue per year
Dykes, Brent (2019). The Four Key Pillars to Fostering a Data-Driven Culture
IDC The Business Value of AWS Data Lakes, Analytics, and ML Services, June, 2020

AWS DATA WEEK 2023
Modern
Traditional
Product
centric
Platform
centric
Customer
focused
Solution
first
Cross
functional
Technology
only
Autonomous
Monolithic
departments
Mindset People & Process
Federated and
agile
Centralized
control
Technology
Purpose fit,
flexible,
scalable
Monolithic
platforms
( Mindset + People + Process )
x Technology
An agile plan of aligned actions spanning mindset, people, process, and technology that accelerates
creating value using data in direct support of strategic business objectives

AWS DATA WEEK 2023
Data-driven organizations enable agility by pushing responsibility to the edges, to the producers and consumers of data
Level of decentralization depends on maturity of skills, complexity of business, domain knowledge required, and pace of tech change
Technology
“Team that runs the technology”
Producers
“Teams that want to share data”
Consumers
“Teams that want to use data”
• Execute business priorities
• Business analytics development
• Data Discovery
• Data pipeline development
• Creation of new insights
• Domain expertise
• Data ownership and governance
• Data quality
• Metadata Management
• Build security controls
• Build and run the platform
• Simplify on-boarding
• Enterprise datasets
• Training and community
Data lake
The Modern Data Community

AWS DATA WEEK 2023
Re-envision the world as Products
Traditional, monolithic data departments need to re-envision the solutions they build and the services they provide to structure these as products. Data products need to
be shared by both business and IT with the common objective to distribute high quality, trusted data across the enterprise to drive action fast and at scale.
Producer Products Consumer Products
Data Technology Products
Technology products for the Producer and
Consumer Communities to leverage
Data quality and ETL tooling
Data Catalogue
Data and ML Ops
Security controls
Training
Foundational data products that serve a
wide range of business use cases
Vendor
Customer
Employee
Product
Insight, Analytic, ML products to meet
business demand
Customer 360 view
Financial reporting
Demand forecasting model
Ad hoc product analysis
Ecosystem
“Team that runs the technology”
Producers
“Teams that want to share data”
Consumers
“Teams that want to use data”

AWS DATA WEEK 2023
Catalog
Governance
Data
Sources
People,
Apps, and
Devices
Business
Intelligence
& Analytics
Machine
Learning Databases
Data
Lakes
Modern Data Strategy in Action
Scalable data lakes
Purpose-built
data services
Seamless
data movement
Unified governance
Performant and
cost-effective

AWS DATA WEEK 2023
A P P S
D E V I C E S
P E O P L E
A P P / L O G S
T H I R D - P A R T Y D A T A
I O T / D E V I C E S
Data sources
Building an End-to-End Data Architecture
F O R
A P P L I C A T I O N S
Amazon
Aurora
Amazon Kinesis
& Amazon MSK
F O R A N A L Y T I C S &
M A C H I N E L E A R N I N G
Data Lake
Amazon S3
Amazon Redshift
Data Warehouse
Amazon
Redshift
Amazon
EMR
B U S I N E S S
I N T E L L I G E N C E
Amazon
QuickSight
M A C H I N E
L E A R N I N G
Amazon
SageMaker
A N A L Y T I C S
Amazon
DynamoDB
AWS Glue
| AWS Lake Formation, Amazon DataZone

AWS DATA WEEK 2023
`
Amazon
OpenSearch Service
O PE R ATI O NA L
A NA LYT I C S
SERVERLESS
Amazon
EMR
BI G DA T A
P R O C ESSI NG
SERVERLESS
Amazon
Athena
I NT E R A CT I VE
Q UE R Y
SERVERLESS
Amazon Kinesis
Amazon MSK
R E A L-T I ME
A NA LYT I C S
SERVERLESS
Amazon
RedShift
DA T A
WA R E H O US I NG
SERVERLESS
Aws
Glue
DA T A
I NT E GR A TI ON
S ERV ERLES S
BUS I NE S S
I NT E LLI GE NCE
Amazon
QuickSight
SERVERLESS
Most comprehensive set of analytics services

AWS DATA WEEK 2023
Domain
ownership
Audit and
Reporting
Metadata
management
Access
control
Data
classification
Standards and
policies
Amazon
DataZone
Governance with agility

AWS DATA WEEK 2023
Data mesh architecture
Amazon S3
Amazon
Redshift
data share
Producer 1
Domain
Amazon S3
Amazon
Redshift
data share
Producer N
….
Domain
Consumer 1
Amazon
Redshift
Amazon
EMR
Amazon
Athena
Domain
….
BI reports Notebook
Consumer 2
Amazon
Athena
Domain
Amazon
Redshift
Amazon
EMR
Amazon
SageMaker
Consumer N
Domain
Resource
share
Data projects Data products
Unified policy management
Federated access control
Organization-wide sharing
Centralized governance and audit
Federated governance
Decentralized, light-weight, federated governance across domain-oriented data systems to
drive governed sharing
16

© 2023, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Amazon Confidential. |
• Operates thousands of micro-services to serve millions of
customers.
• 50 petabytes of data, 600,000 user analytics jobs each day.
• 1,800 teams producing data, 3,300 teams analyzing and acting
on data.
Challenge
• On-prem Oracle did not scale, difficult to maintain, and costly.
• Limited businesses ability to generate insights and deploy ML.
Solution
• Built a data marketplace on AWS.
• Doubled the data stored (100PB), lowered costs, gained insights
faster.
• Move data across the business quickly and easily.
• Easily discover data with reduced latency for analytics results.
Marketplace Web
Interface
Marketplace APIs
Workflows
service
Discovery
service
Data
Ingestion
Subscription
Service
Data security and governance
Example
Sources
Big Data
Marketplace
Consuming
Businesses
100PB
Data Quality /
Curation
Catalog browsing
Order placement
Transaction processing
Delivery scheduling
Video services
Prime registration
S3

AWS DATA WEEK 2023
Machine learning
integrations Amazon
Redshift ML
Amazon
Athena ML
Amazon
Aurora ML
Amazon
Neptune ML
18

AWS DATA WEEK 2023
Amazon SageMaker Canvas
• A visual point and click
interface
• Enables business analysts to
generate accurate ML
predictions – no code required

AWS DATA WEEK 2023
Swimming Australia partners with AWS to
build a single source of truth for race data
Swimming Australia faced challenges in generating
benchmarking data for elite swimmers due to
disparate data sources, leading to a three-month
delay in creating reports for coaches.
Challenges
The organization worked with the Amazon Machine
Learning Solutions Lab (MLSL) team to create a
predictive algorithm for relay swimming, built on a
data lake that collates data through API’s and
website scraping.
Solution
Swimming Australia used its new insights in during
relay races to help coaches select the order of the
swimmers, resulting in the most successful relay
team at the Olympics in Tokyo, as well as the best
ever Australia medal haul with nine gold medals.
Outcome
We are now able to modernize our sport’s
business operations and work on a number of
projects that will help to connect and build the
swimming tribe, bringing incredible moments
of inspiration to Australians through the sport
of swimming.
Leigh Russel, Chief Executive of Swimming Australia

AWS DATA WEEK 2023
The easiest way to build with FMs
The most price-performant infrastructure
Flexibility
Generative AI-powered applications
Unlocking the
potential of
generative AI

AWS DATA WEEK 2023
Generative AI is powered
by foundation models
Pretrained on vast amounts of
unstructured data
Contain large number of parameters that make
them capable of learning complex concepts
Can be applied in a wide range of contexts
Customize FMs using your data for domain
specific tasks
The largest pre-trained model in 2019 (BERT) was 330M parameters
while the state-of-the art LLM in 2022 is 540B parameters – an increase
of 1,600x in size.

Generative AI creates significant business value
23
CREATIVITY
Create new content and
ideas, including
conversations, stories,
images, videos, and
music
PRODUCTIVITY
Radically improve
productivity across all lines
of business, for example
Amazon CodeWhisperer
helped complete tasks
57% faster
INSIGHTS
Extract insights and clear
answers from all your
corporate information,
enabling faster and better
decisions
NEW EXPERIENCES
Create new innovative
and engaging ways of
interacting with your
customers and
employees

AWS DATA WEEK 2023
Enhance your data
protection using
comprehensive AWS
security capabilities
Accelerate
development of
generative AI
applications using
FMs through an API,
without managing
infrastructure
Choose FMs from
AI21 Labs, Anthropic,
Stability AI, and
Amazon to find the
right FM for your use
case
Privately customize
FMs using your
organization’s data
Use AWS tools and
capabilities that you
are familiar with to
deploy scalable,
reliable, and secure
generative AI
applications
24
Amazon Bedrock
T H E E A S I E S T W A Y T O B U I L D A N D S C A L E G E N E R A T I V E A I A P P L I C A T I O N S
W I T H F O U N D A T I O N M O D E L S

AWS DATA WEEK 2023
Data lakes on
S3, Amazon
Redshift
Amazon
QuickSight
Amazon
SageMaker
Canvas
Amazon
DataZone
Insights from
Amazon culture
and 150+
trainings
Amazon
DataZone
Amazon Lake
Formation
How can AWS help?
Break down
data silos
Data and
insights for
all users
Fostering a
data-driven
culture
Data
governance
26

From Insights to Action, How to build and maintain a Data Driven Organization - 발표자: Mary Law, Head of Korea Data Solution Architect, WWSO, AWS ::: AWS Data Roadshow 2023

Recommended

Recommended

More Related Content

What's hot

What's hot (20)

Similar to From Insights to Action, How to build and maintain a Data Driven Organization - 발표자: Mary Law, Head of Korea Data Solution Architect, WWSO, AWS ::: AWS Data Roadshow 2023

Similar to From Insights to Action, How to build and maintain a Data Driven Organization - 발표자: Mary Law, Head of Korea Data Solution Architect, WWSO, AWS ::: AWS Data Roadshow 2023 (20)

More from Amazon Web Services Korea

More from Amazon Web Services Korea (20)

Recently uploaded

Recently uploaded (20)

From Insights to Action, How to build and maintain a Data Driven Organization - 발표자: Mary Law, Head of Korea Data Solution Architect, WWSO, AWS ::: AWS Data Roadshow 2023