The document discusses how companies can drive business outcomes through building a data lake on AWS. It provides examples of how media and banking companies have used data lakes on AWS to improve customer experiences, gain operational efficiencies, and derive business value. The speaker then discusses HDFC Life's data journey and architecture, and provides an overview of BlazeClan Technologies, the consulting company he represents.

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Driving Business Outcomes with
Data Lake on AWS
Varoon Rajani
Co-founder & CEO
BlazeClan Technologies

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About The Speaker
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How can you drive Business Outcomes with Data Lake on AWS
?
Strategic
Decision
making
Improve R&D
Innovation
Choices
Optimize
Revenue
Streams
Improved
Customer
Interactions
Increase
Operational
Efficiencies

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36%
Big data adoption in
enterprises soared from 17%
in 2015 to 59% in 2018,
reaching a Compound Annual
Growth Rate (CAGR)
of 36%.
49%
of the world’s stored data
will reside in public cloud
environments by 2025
4
175 ZB
Global Datasphere will
grow from 33 Zettabytes
in 2018 to 175 Zettabytes
by 2025
75%
Consumers’ interaction with
data will increase from 5 billion
currently to 6 billion - 75% of
the world's population
$27 Billion
Revenues for big data and
business analytics solutions to
hit $27 billion in APAC by 2022
Asia Pacific
Is expected to achieve the
highest growth rate due
to the significant increase
in adoption of data
analytics
Oh, the Growing Data!

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• Design Thinking
• UI/UX
• Microservices
• Containerization
• High performance
• High availability
and scalability
Our Viewpoint of ‘Cloud Enabled Transformation’
Customer Experience Applications Cloud Infrastructure
Data Lake
Agile / SAFe
DevOps
Automation
Analytics
Machine
Learning
Artificial
Intelligence
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Importance of Data Journey
Operations
Customers
Infrastructure
Risk & Fraud
Product
• User enrichment & segmentation
• House-holding
• Customer 360o
• Sentiment analysis
• Omni-channel experience
• Loyalty program analysis
• Recommendation engine
• Personalized marketing
• Gamification
• Targeted marketing
• Sales reporting
• Inventory management & forecasting
• SLA analytics
• Store performance
• Asset performance analytics
• Network analytics
• Log analytics
• Predictive issue resolution
• Governance reporting
• Fraud detection
• Risk modelling
• Cyber security
• Market analysis
• Product tracking & analysis
• Marketing and branding strategy
• Sentiment analysis
• Transaction analysis
Industries
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Media Data Journey
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Mobile Shared On
Social Media
Next Day
Recommendation / Up
Selling
Jack Order Coffee
Cross Sector
Selling
Omni-Channel
Experience
Today
Unique User
view
Data Enrichment
Segmentation
House-Holding

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Media Use Case
9
• User Data
• Session Time
• Demographics
• Genre
• Language
• Schedule
• Playlist
• Account Type
• Page Views
• Devices
• And many more
About Client
Leading media
company in Malaysia
Use Case:
Utilize user, video
assets and consumption
data for ACTIONABLE
INSIGHTS
Solution:
Data Lake at rescue!
Identify and analyse anomalies for
various consumption patterns
Informed marketing efforts to
targeted users for effective results
Business Value
Derived
• Probable Fraud Detection
• Marketing Optimization

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Banking Data Journey
After
Before
• Poor reports for Incident &
Asset management
• Application not working
• System is down
• Updated health status of
infrastructure & assets
• Interactive Reports
• Analysis and quick resolution for
incidents
• Predictive analysis for blocking IP
address having virus
• Optimized utilization of servers as
per usability

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Banking Use Case
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• Number of systems
• Infrastructure details
• Asset life cycle
• Patching status
• Incidents per system
• Incident resolution time
• Security vulnerabilities
• Disaster recovery status
• And many more
About Client
Use Case:
Solution:
Interactive report Visualization for
different business users to view
details of assets & incidents
Predictive analysis to predict health
of systems in next few years
Business Value
Derived
• Operational Efficiency
• Resource Optimization

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Abey Alex

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About HDFC Life
Source – HDFC Life Annual Report 2017-
2018
11,200+
Partner Branches
17,600+
Employees
1.05mn
Policies sold (Individual new business)
1,066
Billion of AUM
HDFC Standard Life Insurance Company Limited (‘HDFC
Life’ / ‘Company’) is a leading long-term life insurance
solutions provider, offering a range of individual and
group insurance solutions that meet various customer
needs such as Protection, Pension, Savings, Investment,
and Health.
HDFC Life is a joint venture between Housing
Development Finance Corporation Limited (HDFC Ltd.),
India’s leading housing finance institution and Standard
Life Aberdeen, a global investment company.
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Ongoing Initiatives at HDFC Life
14
3
Explore
Re-imagination
Bring in new cutting
edge technologies
Digital
Transformation
Journey
1
2
3
Build to Destroy
Innovate & Evolve faster, constantly
Platform based Approach
Cloud centric
Server-less
Lean Approach
License-free
Open-source
Enhance
Process optimization
Upgrade existing
process & technologies
1
2
Expand
Collaborative
Business
partnerships
Follow an Ecosystem
Centric approach

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?
Business Outcomes From Data Lake
Sales Head
15

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Budge
t
Sales
Targe
t
Task
List
DISCOVERY &
FOUNDATION
DESIGN
BUILD &
IMPLEMENT
VALIDATION
& VALUE
USE CASE INSIGHTS
Insuranc
e
Product
• Sales Agent
Data
• Insurance
Product
• Budget
• Task List
• Performance
• ----
• PERFORMANCE
• SALES
• FORECAST
• TRACKING
• …
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Approach to Outcome

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Data Journey - Persona
Productivity
1.Personalized
Sales
Experience
2. Improve
behavior
3. Improve
business
metrics
•
•
•
•
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Derived Business Value
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Accelerated
business
growth
Winning
sales
insights
Increased
sales
performance
Real-time
Data
Insights
Motivated
sales
people

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HDFC Life – Architecture

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How?
What?
PROCESS
Visually managed process to
cleanse and enrich the data using
the available function libraries
Hadoop, SPARK and
Phyton reusable code
to perfom functions
CONSUMPTION
Transparency and secured insight for
decision making using the preferred
customer visualization
Adoption of
customer preferred
toolset to build
reports
INGESTION
Ability to Ingest multiple data
sources using connectors and
adaptors with Automation
Serverless Approach
DynamoDB with
Lambda automation
Proven
Methodology
Templates for
Landing Zone
Continuous
Improvement
Automation
with Lambda
Security &
Compliance
Data
Governance
Accelerate with Assurance
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Our Solution Framework

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Data Lake Implementation Framework
Operating Model
Analyse & plan
Data Lake Setup
Design &
Architecture
Current
State
Target State
Ingestion Layer Agile Build &
Validate
Initialisation Analytics &
Visualisation
Acceptance Integration &
De-commission
Learn &
Optimize
ValidateInputs
Mapping
Security
Licences
& Tools
Data ConsumptionData Storage and ProcessData Ingestion
Discovery & Foundation Build and Implement Managed Services
Data Governance
Governance Platform
Re-usable
Component
Store
IaaS Factory PaaS Factory
Data Migration Factory
1. Source Assessment
2. Mappings &
Transformations
3. ETL Build and Test 4. Sprint Review 5. Validation
pm
am
am
24*7
Help Desk.
AU
India
Support
On-call
Support
Support from Off-shore(India) and Onsite
pm
ETL
Storage
Analytics Batch, Change Data, Streaming
ETL
Factory
Analytics Factory
EMR, DMS, Kinesis
S3, RDS, RedShift
QuickSight ,
Tableau
ValidationDesign
MY
India
Support
On Call
Support
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Our Implementation Framework
Metadata Management Data Quality

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Revenue Growth at
80% CAGR
Focus on Innovation
350+ Cloud Experts;
120 Certified
End to End Cloud
competencies
Differentiated,
Proprietary Frameworks
Vast Experience, Across
domains/industries
200+ Customers
Engagements
Culturally Aligned-
One team
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Company Overview

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Competencies

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Featured Clients
& more..

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Thank you!
S U M M I T © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Varoon Rajani
varoon@blazeclan.com