Validation

Content validated on 3/29/2023 with

• ADW Version Oracle Database 19c Enterprise Edition Release – Production Version 19.11.0.0.0

• Oracle Cloud Application 22C (11.13.22.07.0)

• Fusion Analytics Warehouse Application Version 22.R4.P2

 Background

Oracle Fusion Analytics provides analytics for Oracle Cloud applications, powered by Autonomous Data Warehouse and Oracle Analytics. More specifically:

• Fusion ERP Analytics provides accounting data sourced from ERP Cloud in a warehouse designed to support broad set of analytics use cases. 
• Fusion HCM Analytics provides comprehensive workforce, turnover data sourced from Fusion HCM Cloud.
• Fusion SCM Analytics give customers the ability to gain visibility into Supply Chain performance, correlate Supply Chain processes with business goals and detect, understand and predict Supply Chain issues.

Making the right business decisions is intrinsinclty tied to the system of records data accuracy of a company. In many specific use cases, Fusion Analytics data can be complemented with additional data from external source such as On Premise, Legacy applications, Non Fusion SaaS application, OCI source, Third party cloud applications, and so on…

To support these data enrichment and consilidation requirements, Fusion Analytics is introducing a series of connectors to leverage the Fusion Analytics data pipeline infrastructure to extract data (full and incremental) from these external sources following a defined schedule, potentially reducing custom data extraction code, infrastructure and platform costs.

This blog describes how to utilize Fusion Analytics (FAW) Data Augmentation feature to replicate transaction data from Google Analytics into ADW to extend the Data Layer of FAW. This blog will also detail the steps to created data asset in Orale Analytics Cloud to ultimately allow customers to answer business questions and gaining business insight and augmented FAW factory data set with Google Analytics data.

Suggested Prerequisite Reading Material:

* Data Augmentation with FAW 

* Data Replication with OAC 

* FAW Semantic Model Customization

Overall prerequisites

* Have access to an Fusion Analytics Instance (OAC, ADW) with Administrative privileges

* Have access to a Salesforce Instance

* Have configured SQL level access to Fusion Analytics ADW, as described in Krithika and Gunaranjan blog post here.

 Architecture Overview

FAW Data Augmentation allows customers to leverage the FAW data pipeline to augment reports with datasets created :

1. By adding a new dimension in the target instance,
2. By adding a new fact in the target instance.

The diagram below details the architecture for the Google Analtyics Connector Connector :

Figure 1: FAW Data Augmentation flow with Google Analytics Connector

The high level configuration flow is as follow:

• Google and Wix Configuration
  • Create a Google Analytics account
  • Collect Google Analytics Account ID 
  • Set up a data stream, create G4 Property, collect property ID
  • Enable Admin and Data API 
  • Add service account user to G4 property to be accessed 
  • Grant Analyst permissions ot the service account
• Create / Set up a Wix Account (premium)
  • Create a web site
  • Enable google search
  • Enable Marketing Integration
• FAW Configuration
  • Enable GA feature and create GA connection with data api connection Json
  • Test Connection
  • Refresh metadata for Google Analytics connection
  • Set Pipeline Settings 
  • Create Google Analytics data augmentation with validated dimensions and metrics
  • Save and Schedule the data augmentation pipeline jobs
• FAW Data Pipeline processes the data augmentation pipeline jobs, extract the data from Salesforce tables and load it into ADW, queryable via synonyms starting with DW_GA_X
• Augmented data can be then queried directly using OAC Data set or a SQL client like SQL developer, through the database synonym named after the table name give in the first step 
• Semantic model can automatically be extended by the data augmentation in a new subject area

 Creating FAW Data Augmentation with Google Analytics Connector

Set up SQL Developer Access to Fusion Analytics Warehouse Data with OAX_USER

Follow the steps described in the CEAL Team blog here to enable SQL Developer access to FAW augmented data: this will allow user to execute SQL queries against FAW delivered data model and FAW augmented data for any Oracle SQL Client (sqlplus, sqlcl, SQL Developer…).

Create the Connection to Google Analytics in Data Configuration and Create Data Augmentation

The following video will walk you through how to :

• Set the connectivity prerequisites:
• Deploy the Configuration Steps

Let’s watch the video now

Figure 2: FAW  – Augmenting FAW Data with Google Analytics

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 Summary

This blog described how to utilize Fusion Analytics (FAW) Data Augmentation Managed Pipelines to replicate transactions data from Google Analytics into Autonomous Data Warehouse (ADW) to extend the Data Layer of FAW. This blog also detailed the steps to allow customers to answer business questions and gaining business insight.

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