More Related Content Similar to Sprint's Data Modernization Journey (20) More from Hortonworks (20) Sprint's Data Modernization Journey3. 3
©2016 Sprint. This information is subject to Sprint policies regarding use and is the property of Sprint and/or its relevant affiliates and may contain restricted, confidential or privileged materials
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10.1.2016
Version 1.1 DSB
Sprint’s Data Modernization Journey
Putting a foundational framework for
empowering Analytics
November 30, 2017
4. 4
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10.1.2016
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About Sprint
Sprint is one of the largest telecom services providers in the US with business
operations across multiple countries offering its residential and commercial
customers a variety of communication and media services.
Multiple Countries -
US, Mexico, Caribbean
Wireless, Internet,
Prepaid, Wired
Service Offerings -
B2B, B2C
60M Subscriber
Base
5. 5
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10.1.2016
Version 1.1 DSB
Our Modernization Demand Drivers
Paradigm Shift in Customer
Usage – Data now outpaces
Voice usage enormously
Data Explosion – More data
originating from all
directions and new types
Increased Appetite for
Analytics – Cost Savings,
Better Customer Experience
We were experiencing a paradigm shift in how the data landscape was
evolving and our focus was on how we can harness the wealth of data to
better serve our customers and improve our business operations.
6. 6
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10.1.2016
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Our Modernization Goals
Our data modernization goals were focused on business imperatives in order
to provide a richer, personalized customer experience, improve business
operations and gain better visibility into our Customers.
Fraud detection – Expanded
datasets and improve data
availability
Improve visibility to gain
better insights and make
timely business decisions
360 Degree View of
Customer – better ways to
serve and reduce churn
7. 7
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10.1.2016
Version 1.1 DSB
Iterative Approach to Modernization
We took an iterative approach towards modernization in order to ensure our
journey had meaningful and achievable targets.
Build foundational framework
with an evolving and scalable
architecture
Reduce data redundancy by
consolidating data points
and improve data availability
Spend less time on lift &
transform and more on
Analytics
Core Foundation Data Consolidation Empower Analytics
8. 8
©2016 Sprint. This information is subject to Sprint policies regarding use and is the property of Sprint and/or its relevant affiliates and may contain restricted, confidential or privileged materials
intended for the sole use of the intended recipient. Any review, use, distribution or disclosure is prohibited without authorization.
10.1.2016
Version 1.1 DSB
Tips for Modernization
• Analysis and scoping
• Big data is not just volume but also more compute and analytics
• Scalable hardware which can be improved for more compute when required
• Network throughputs or improve bandwidth for large data volumes
• Prepare and plan
• Technology and Business Teams Adoption
• Plan real-time architecture ahead instead of rearchitecting later
• Communicate and manage expectations
Think big, start small, move fast.
24. 24 © Hortonworks Inc. 2011 – 2017. All Rights Reserved
EDW Plus Hortonworks Data Platform and Hortonworks DataFlow
Land and Enrich more data to respond faster to new business requests
Archive Cold Data away from EDW
• Move cold or rarely used data to Hadoop
as active archive
• Store more of your data longer, cheaper
• Greater historical analysis
Offload costly ETL process
• Free your EDW to perform high-value functions like
analytics & reporting, not ETL
• Use Hadoop for advanced or massive-scale ETL/ELT
Land & Enrich more data to create
more value-add analytics
• Use Hadoop to ingest new data sources, such as web
and machine data for new analytical context from
unstructured and semi-structured sources
• Create an analytical sandbox for advanced data
science
ANALYTICSDATA SYSTEMS
Data
Marts
Business
Analytics
Visualization
& Dashboards
Systems of Record
RDBMS
ERP
CRM
Other
ELT
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
°
N
Cold Data,
Deeper Archive
& New Sources
Enterprise Data
Warehouse
Hot
Data
Science
OLAP on Hadoop
Clickstream Web & Social Geolocation Sensor
& Machine
Server
Logs
Unstructured
NEW SOURCES
Ingest Stream Events
26. 26 © Hortonworks Inc. 2011 –2016. All Rights Reserved
M A X I M U M C O M M U N I T Y I N N O V A T I O N
T H E
I N N O V A T I O N
A D V A N T A G E
P R O P R I E T A R Y
H A D O O P
T I M E INNOVATION
Innovation happens best not in
isolation but in collaboration
OPEN
COMMUNITY
Our Founding Belief
27. 27 © Hortonworks Inc. 2011 –2016. All Rights Reserved
M A X I M U M C O M M U N I T Y I N N O V A T I O N
T H E
I N N O V A T I O N
A D V A N T A G E
P R O P R I E T A R Y
H A D O O P
T I M E INNOVATION
Innovation happens best not in
isolation but in collaboration
OPEN
COMMUNITY
Our Founding Belief
Unmatched Economics
Enable cost effective data-center and
cloud architectures
Minimal Vendor and Integration Risks
prevents vendor lock-in and speeds
ecosystem adoption of ODPi-compliant
core