Have you ever thought about being able to look at Google Analytics data inside Salesforce? Using Heroku you can create a cloud based mini ETL tool to move data directly into Salesforce Analytics Cloud. Now you can have better visibility into the performance of your digital marketing assets in context with your account, contacts and activities in Salesforce. In this session we will walk through the code of a sample application built on Heroku that demonstrates how to integrate external APIs from both Google Analytics and Salesforce Analytics Cloud.

1. Dreamforce Developer Zone
​ Peter Graham
​ Salesforce Practice Leader
​ pgraham@mycervello.com
​ @pgraham
​
Utilize Heroku to Push Google Analytics Data into Analytics
Cloud
​ Anil Tumati
​ Technical Lead
​ atumati@mycervello.com
​ @aniltumati
​

2. • Introductions & About Cervello
• Topic Overview
• Sample Application Demo
• Use Case
• Application Context
• Our Toolkit
• Demo & Code Examples
• Wrap-up & Resources
Agenda

3. About Cervello
​ Helping Organizations Win With Data
Experts Expertise Client
Success+ =
• We have 90+ people in Boston, New York, London & Dallas with
offshore development and support teams in Russia and India
• We partner with the leading on premise and cloud technology
companies
Enterprise
Performance
Management
Customer
Relationship
Management
Data Management
Custom Development
Business
Intelligence &
Analytics
Advise, Implement, Support

4. • Utilize Heroku to integrate with external APIs to both pull and push data
• Exhibit the ability to use different development language and frameworks
within Heroku to build custom Applications
• Sample Application Use Case: display website performance data from Google
Analytics in the context of Salesforce Analytics Cloud
Topic Overview

5. Leading Platform-as-a-Service provider…
• Support multiple development languages (Ruby, Java, Python, etc)
• Integrated deployment via Git
• Application resources via Element marketplace (Add-ons, Buttons, Buildpacks)
such as data stores, logging, search and payment integrations
• Scalable and isolation of processing through dynos
• Application logging and performance tracking
What is Heroku?
Focus on the application not the infrastructure

6. • Provides website traffic data in
attributes and metrics
• Accessible via Google Analytics
API
• Provides application platform
and supports multiple
development languages and
frameworks
• Application configuration
persisted via Postgres
• Marketplace elements and plug-
ins
• Provides analytic platform for
data storage, reports and
dashboards
• Accessible via utility APIs to load
data
​ Google Analytics to Salesforce Wave using Heroku
Sample Demo Use Case

7. ​ How the demo works
Application ContextGoogle Analytics
Heroku Custom
Application Analytics Cloud
Any
Other
Website
Pages
Search
1. Configure
2. Pull
3. Process
4. Push

8. Our Toolkit
• Google Analytics Account
with Admin rights
• Heroku Developer Account
and the Postgres DB
element
• Play Framework
• Analytics Cloud Account
with Admin Rights
• Analytics data load utility jar
​ What you will need to run the application

9. Demo

10. 1. Ability to integrate data with external APIs (e.g. Google Analytics) using
different development languages on Heroku
2. Speed of developing scalable applications in different languages and
frameworks and ease of deployment on Heroku
3. Ability to push data to downstream platforms such as Salesforce Wave via API
for further analysis and data integration
Key Takeaways

11. • Sample Code: https://github.com/Cervello/google-analytics-to-salesforce-wave
• Play Framework: https://www.playframework.com/
• Analytics Cloud App: Apple App Store Salesforce Analytics
• Heroku Developer Account: https://signup.heroku.com/dc
• Heroku Add-Ins: https://elements.heroku.com/
• Google Analytics Query Explorer:
https://ga-dev-tools.appspot.com/query-explorer/
Wrap Up & Resources

12. Questions

13. Thank you