SlideShare a Scribd company logo
Meetup on "Driving Agile Business
Intelligence and Analytics Solutions
using AWS"
William Johns, Director,
Enterprise Data Services
First Guarantee Mortgage Corp.
Meetup sponsored by :
About FGMC
First Guaranty Mortgage Corporation (FGMC)
• Full service national lender offering mortgage solutions to clients
• Leveraging Enterprise Data as a differentiator
• Embracing data science, analytics and cloud technologies
The Enterprise Data team is focused on:
• Building Trusted data to
• Solve problems
• Create new value
• Support the company’s strategic initiatives
211/24/2016
Why cloud?
Business drivers
₋ Business users are demanding services be delivered fast
₋ High need for trustworthy and highly usable data
₋ Need for automation and visualization of data
₋ Flexibility and iterative delivery is expected
Technical drivers
₋ Existing infrastructure is limited in delivery speed
₋ Ability to rapidly provision and scale-up or down
₋ Security and compliance requirements must be met
 IaaS Platform(s)
 Big Data Plumbing
 Security and Compliance
311/24/2016
Our cloud journey…
Due Diligence
• Researched partners to help with cloud providers
• Had partner present potential solutions
• Brought in AWS directly to understand offerings
Conducted Agile “Data Experiments”
• Engaged partner (an AWS Value-Added Reseller - stackArmor)
• Fixed-price, fixed-time pilot and proof of concept
• For a BI Tool selection project
• 30 – 45 days to complete
• AWS infrastructure completed in less than 5 days
• Pilot environment shut-down at the end of the 30-day pilot
411/24/2016
4 Criteria used for Enterprise BI Tool Selection:
1. Business Feedback (survey forms)
2. Partnership Attributes (company and openness to working together)
3. Eco System (community events, online and local resources, talent availability etc...)
4. Investment
and the data delivered a winner, Qlik as our Enterprise BI tool
Next Steps were:
• Move Enterprise BI tool into AWS Production
• Connect AWS to our Business Data Store (Mongo in a data center)
• Tighten down Security
• Deploy to Business
511/24/2016
What’s Next?
Strategic Adoption
• Introduction of AWS to other Teams
• Dev Ops
• Iterative and structured adoption
• Deeper due diligence with
• Networking, Security Operations and Compliance
• Development of company cloud architecture blue-print
• Based on security best practices and company policies
Innovation Lab Setup
• Conduct agile “data experiments”
• Leverage AWS in new and innovative ways
• DynamoDB, Graph Databases, Apache Spark
• Innovate, Solve Problems and Deliver Business Value
FGMC Strategic
Cloud Framework
Security
Compliance
Data
Management
Networking
Operations
Financial
Management
611/24/2016
Q & A
711/24/2016

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  • 1. Meetup on "Driving Agile Business Intelligence and Analytics Solutions using AWS" William Johns, Director, Enterprise Data Services First Guarantee Mortgage Corp. Meetup sponsored by :
  • 2. About FGMC First Guaranty Mortgage Corporation (FGMC) • Full service national lender offering mortgage solutions to clients • Leveraging Enterprise Data as a differentiator • Embracing data science, analytics and cloud technologies The Enterprise Data team is focused on: • Building Trusted data to • Solve problems • Create new value • Support the company’s strategic initiatives 211/24/2016
  • 3. Why cloud? Business drivers ₋ Business users are demanding services be delivered fast ₋ High need for trustworthy and highly usable data ₋ Need for automation and visualization of data ₋ Flexibility and iterative delivery is expected Technical drivers ₋ Existing infrastructure is limited in delivery speed ₋ Ability to rapidly provision and scale-up or down ₋ Security and compliance requirements must be met  IaaS Platform(s)  Big Data Plumbing  Security and Compliance 311/24/2016
  • 4. Our cloud journey… Due Diligence • Researched partners to help with cloud providers • Had partner present potential solutions • Brought in AWS directly to understand offerings Conducted Agile “Data Experiments” • Engaged partner (an AWS Value-Added Reseller - stackArmor) • Fixed-price, fixed-time pilot and proof of concept • For a BI Tool selection project • 30 – 45 days to complete • AWS infrastructure completed in less than 5 days • Pilot environment shut-down at the end of the 30-day pilot 411/24/2016
  • 5. 4 Criteria used for Enterprise BI Tool Selection: 1. Business Feedback (survey forms) 2. Partnership Attributes (company and openness to working together) 3. Eco System (community events, online and local resources, talent availability etc...) 4. Investment and the data delivered a winner, Qlik as our Enterprise BI tool Next Steps were: • Move Enterprise BI tool into AWS Production • Connect AWS to our Business Data Store (Mongo in a data center) • Tighten down Security • Deploy to Business 511/24/2016
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