Analysing billions of rows with Amazon Redshift, Alteryx ... · PDF fileAnalysing billions of...
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Analysing billions of rows with Amazon Redshift, Alteryx and TableauBy Adrian Loong
Business Intelligence Manager
3 Mar 2016
Note re data used in this presentation
• Please note that all data displayed in the dashboards is used to demonstrate AWS, Alteryx and Tableau’s capability and is
placeholder data, not actual amaysim data.
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Introduction
Business Challenges
Best of Breed products - AWS Redshift, Tableau & Alteryx
Learnings – one year on
About amaysim
amaysim is an Australian mobile virtual network
operator established in November 2010.
About me
Adrian Loong – Business Intelligence Manager
• Responsible for analytics strategy and execution across
Finance, Retail Sales, Marketing and HR
• Expertise:
• Decision support / Management consulting
• Visualisation, Financial analytics, Budgeting &
Forecasting
• CPA
.
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Introduction
Business Challenges
Best of Breed Products - AWS Redshift, Tableau & Alteryx
Learnings – One Year On
amaysim have a wide variety of data sources and a lot of data being generated daily
Wide variety of data sources A lot of data is generated daily
Source systems Databases
Phone callInternet
data trafficSMS
Over 10 billion rows of data with nearly 20 million rows added daily
We only have a small team covering a wide span of functions
Retail Sales
Finance
Customer acquisition
HR
Photo Source: http://www.timeshighereducation.co.uk/news/business-schools-not-first-port-of-call-for-managerial-recruits/2013863.article
Customer retention
Traditional tools are unable to keep up with speed of business demands. AWS Redshift, Tableau and Alteryx enable analysis within hours
Traditional BI: Keep calm and please wait
Analysis at the speed of business
VS
We need tools that empower us to analyse at the speed of thought
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Introduction
Business Challenges
Best of Breed Products - AWS Redshift, Tableau & Alteryx
Learnings – One Year On
Business Intelligence stack
Source DataIT
ELT/ETL
Data
Warehouse
Business
ETL
Visualizer
& Reporting
• ECC
• CRM• CSC
• Google analytics
• Sales POS• The list goes on…
• Alteryx desktop selected
and deployed• Gives our business the
agility we need
• Business driven rather than IT driven
• Ability to do predictive
analytics
• Tableau desktop & Server
selected and deployed• Self serve BI
• Business dashboarding
• Ability to do predictive analytics
Time to loadReliability of Data
Query performance
Flexibility for slice/dice Visualisation performance
Data definitions / governanceData exploration
• CDC used for real
time data replication• Slower to build
• More reliable
• Redshift selected for
reliability, processing power and scalability
Redshift gives us the speed and robustness to store and analyse vast volumes of data. Alteryx fuels Tableau visualisation allowing us to quickly gain insights in Tableau
Source
system
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Livechat
Source
system
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Zendesk
Amazon Redshift
Datamart
External data /
Marketing data
Blend & enrich Visualization
• Clean the data• Apply business rules
• Validate business rules in teams
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Comments
Tableau can be used to directly visualise and analyse big data directly from
Redshift
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Alteryx can be used to blend data which is not in the Redshift database
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Alteryx can apply and validate more complex business rules before visualizing
outputs in Tableau
Continuously iterate between Alteryx and Tableau when discovering more data
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Alteryx enables us to combine different data sources in a visual workflow before visualisation in Tableau
Server
Source systems Databases
Servers
Workstations
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Introduction
Business Challenges
Best of Breed Products - AWS Redshift, Tableau & Alteryx
Learnings – One Year On
1. Democratise the opportunity
2. Make it relevant to different stakeholders
3. Cultural change takes time