The document describes 7 case studies of companies that implemented successful Big Data & Analytics projects using BlazeClan's consulting services on Amazon Web Services. The case studies include building a cloud data warehouse, creating a matchmaking engine on AWS, implementing gaming analytics in the cloud, developing an automated AWS monitoring solution, designing a recommendation engine in the cloud, performing behavioral analysis in healthcare, and optimizing Redshift performance. BlazeClan is presented as an AWS Premier Consulting Partner with expertise in Big Data, migrations, managed services, and cloudification.

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Enabling Big Data & Analytics
factories on Amazon Web Services
7 Inspirational use cases beyond the myths

2. Businesses want simpler, scalable and
cost effective platforms to make the
most of their data assets
Cloud is the way to go
7 Inspirational case studies demonstrate
succesful implementations of Big Data &
Analytics projects driven by BlazeClan
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3. #1 Cloud Data Warehouse
Business Context: This NASDAQ- Listed Multi Billion Dollar Engineering &
Technology Company wanted a cost effective Data Warehouse solution
to process huge volumes of data coming in from heterogeneous sources.
Challenge:
• Design an optimized Data Model
• Develop and implement the ETL Process
• Deploy a cost effective Data Warehouse in the cloud
• Deploy Highly Available BI Server on AWS
Solution: BlazeClan helped in using Amazon Redshift, a fully Managed
Data Warehouse (DWH) Solution on Cloud with High Availability and
Scalability. BlazeClan’s AWS Certified Solution Experts helped in designing
end to end Data Warehouse Solution.
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4. #2 Matchmaking Engine on AWS
Business context: The company was getting a delay in the process for
Matching partners, hence penalizing the business. Wanted to process
data in real time and bring down the processing time to one-third the
original time.
Technology: EMR - Spark, DynamoDB, CloudSearch, Kinesis, Redis
Solution: BlazeClan helped in modifying their traditional architecture and
introduced new components like Hadoop, Spark and CloudSearch with
High Availability and Scalability. Matchmaking time reduced from some
hours to few seconds.
Blazeclan Expertise: BlazeClan is an AWS Premier Cloud Consulting
Company with Big Data Competency status
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5. #3 Gaming analytics in the cloud
Domain: Smartphone Freemium Game Analytics
Business context: Success of Freemium games depends on progressive
game play and lifetime value to achieve fiscal success. Liveops is the
backbone of such business model that operates completely on data
analytics.
Technology: EC2, ELB, S3, DynamoDB, EMR, RedShift, Tableau Server
Solution: BlazeClan delivered a technology platform that empowered the
gaming company to achieve analytic platform capable of executing In-
Game Virtual Product Recommendation System, server-synch game
variable control, Market Basket Analysis, Revenue Prediction, and more.
BlazeClan expertise: Proficient Data Scientists with more than 4 years of
Domain Knowledge delivering value to the business
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6. #4 Automated AWSmonitoringsolution
Business context: AWS Users required to have an automated platform to
Analyze and manage cloud resources.
Technology: S3, RedShift, Spark, EMR
Solution: BlazeClan came up with a product as Cloudlytics that provides a
platform to effectively monitor and manage AWS resources. For
Monitoring, Cloudlytics provides a detailed analytics of billing and
resource utilization. This platform also offers a Recommendation Engine
that can analyze the cloud resource usage pattern and suggest ways to
save costs.
Blazeclan Expertise: BlazeClan is an AWS Premier Cloud Consulting
Company having pool of accredited resources dedicated to deliver
actionable insights
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7. #5 Recommendation Engine in the cloud
Domain: Enterprise digital marketing strategy.
Business context: Relevance of recommendations plays a major role to
Elongate engagement lifecycle for the betterment of monetization of users
by improving Content, Product and Service cross-promotion
Technology: Python, EMR, Spark, S3, Hive, Pig
Solution: BlazeClan delivered a customizable Recommendation Engine with
Tunable sophistication increasing marketing campaigns efifciency
BlazeClan expertise: Certified Data Scientists with experience of creating
and implementing ML Algorithms for Collaborative Filtering with/without
Magnitude/Scale Consideration
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8. #6 Behavioralanalysis inHealthcare
Business Context: A Pharmaceutical company wanted to execute a
behavioral analysis against multidimensional user data. It would be a
mutually beneficial proposition if precautions and medications can be
recommended based on weather, pollen conditions and other
parameters
Technology: Python, Spark, AWS Mobile Analytics, RedShift, JasperSoft
Solution: BlazeClan delivered a solution from Telemetry design, RE
Algorithm Implementation to Data Visualization. Recommendations are
provided to patients based on specific health conditions allowing
proactive treatment and marketing campaigns planning
Blazeclan Expertise: Proficient pool of Engineers having experience of SDK
and Event instrumentation. Team of business oriented analysts.
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9. #7 Redshift &Performance Testing
Business Context: The company is a leading mobile marketing platform
augmenting each mobile internet user’s profile; creating user persona’s
and identifying intent signals. They deliver relevant offerings enabling
marketers, app developers, telecom and data providers drive sharper
Strategies whilst ensuring profitability.
Challenge: This company was facing performance issues in analyzing
their data.
• Identify the Data from the current environment to be loaded
• Load large production data set to Redshift
• Optimize the query performance
• Test Redshift Performance and compare with HP Vertica Performance
Solution: The performance of Redshift was checked using reporting tools
Such as Jaspersoft/Tableau. Optimizing the performance of any three
Reports including RIMS and CAD and dynamic report. Ad-hoc reporting
And historical reporting. Historical Data Population was made real.
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10. Let us enable your digital business in the Cloud
• AWS customer obsession award two
years in a row
• AWS Premier Consulting Partner
• AWS Big Data
• AWS Managed Services
• AWS management (Cloudlytics)
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