51ºÚÁϲ»´òìÈ

Comprehensive Technical Tutorial for 51ºÚÁϲ»´òìÈ Experience Platform

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Overview

This tutorial is the perfect starting point for Data Engineers, Data Analysts, Data Architects, Data Scientists, Orchestration Engineers and Marketers to gain a full understanding of the business value of 51ºÚÁϲ»´òìÈ Experience Platform and all of its application services. Each lesson focuses on a real challenge businesses face in today’s complex ecosystem of personalization and breaks down how Experience Platform solves that challenge in various hands-on exercises.

This tutorial is very diverse and offers clear insights in the following applications:

  • 51ºÚÁϲ»´òìÈ Experience Platform
  • 51ºÚÁϲ»´òìÈ Experience Platform Data Collection
  • Real-time CDP
  • 51ºÚÁϲ»´òìÈ Journey Optimizer
  • Customer Journey Analytics

This tutorial doesn’t just focus on 51ºÚÁϲ»´òìÈ applications, but takes into account the broader ecosystem in which brands operate. In order to do that, in some lessons there is a focus on how non-51ºÚÁϲ»´òìÈ applications integrate with 51ºÚÁϲ»´òìÈ Experience Platform. As such, you’ll gain a deep understanding in how the following applications will work together with 51ºÚÁϲ»´òìÈ Experience Platform:

  • Amazon: AWS Lambda, AWS S3, AWS Kinesis
  • Google: Google Cloud Platform, Google BigQuery, Google Display&Video 360, Google AdWords
  • Microsoft: Power BI, Azure EventHub, Azure Blob Storage
  • Salesforce: Tableau
  • Apache Kafka
  • Postman
  • …

After completing the exercises in this tutorial, you will be able to:

  • Configure Schemas, Field Groups, Datasets, and Identities
  • Configure an 51ºÚÁϲ»´òìÈ Experience Platform Data Collection property and setup the new Web SDK extension in 51ºÚÁϲ»´òìÈ Experience Platform Data Collection
  • Stream data into 51ºÚÁϲ»´òìÈ Experience Platform in real-time using 51ºÚÁϲ»´òìÈ Experience Platform Data Collection
  • Batch ingest data into 51ºÚÁϲ»´òìÈ Experience Platform using a workflow or by using an extract, transform, load (ETL) application
  • Visualize and use the Real-time Customer Profile in 51ºÚÁϲ»´òìÈ Experience Platform
  • Create audiences
  • Consume several 51ºÚÁϲ»´òìÈ Experience Platform APIs
  • Use SQL to query your data in 51ºÚÁϲ»´òìÈ Experience Platform
  • Configure and run real-time, trigger-based journeys
  • Use Real-time CDP to take action by activating an audience to various destinations
  • Use Customer Journey Analytics to report on omnichannel customer data from various sources, including Google BigQuery

Prerequisites

If you want to take this tutorial using your own 51ºÚÁϲ»´òìÈ Experience Platform instance, following the instructions here to prepare your org for the tutorial.

  • Access to 51ºÚÁϲ»´òìÈ Experience Platform:
  • Access to 51ºÚÁϲ»´òìÈ Experience Platform Data Collection:
  • Access to Demo System:

Videos

You can find a lot of interesting videos from our Tech Academy webinars, from bootcamps and more on our .

Completion & Certification

This tutorial is part of an 51ºÚÁϲ»´òìÈ Certification course. You can sign up for the course alongside this tutorial by going to .

For every module that you complete using the below tutorial, you need to submit a proof of completion as indicated here.

Content

To check the status of the below content, please go to the status page.

0. Getting started

In this foundational module, you will setup everything so that you can access and use the demo environment.

Time Investment: 30 minutes

1. Data Collection

1.1 Foundation - Setup of 51ºÚÁϲ»´òìÈ Experience Platform Data Collection & Web SDK

In this foundational module, you will learn about 51ºÚÁϲ»´òìÈ Experience Platform Data Collection and the new Web SDK extension.

Time Investment: 30 minutes

1.2 Foundation - Data Ingestion

In this foundational module, you will ingest data from various sources into 51ºÚÁϲ»´òìÈ Experience Platform

Time Investment: 120 minutes

1.3 Federated Audience Composition

In this module, you’ll learn how to setup a Federated Audiences model and generate audiences using federated data.

Time Investment: 90 minutes

2. Real-Time CDP B2C

2.1 Foundation - Real-time Customer Profile

In this foundational module, you will explore the Real-time Customer Profile in 51ºÚÁϲ»´òìÈ Experience Platform by making use of the UI and API.

Time Investment: 90 minutes

2.2 Intelligent Services

In this module, you’ll learn how to setup, configure and use 51ºÚÁϲ»´òìÈ Experience Platform Intelligent Services.

Time Investment: 60 minutes

2.3 Real-Time CDP - Build an audience and take action

In this module, you’ll configure an audience and activate the audience to several destinations, including Google DV360, 51ºÚÁϲ»´òìÈ Target and AWS S3.

Time Investment: 90 minutes

2.4 Real-Time CDP: Audience Activation to Microsoft Azure Event Hub

In this module, you’ll setup a Microsoft Azure EventHub destination as a real-time destination for 51ºÚÁϲ»´òìÈ Experience Platform Real-time CDP. You will also setup and deploy an Azure function that will be triggered in real-time whenever 51ºÚÁϲ»´òìÈ Experience Platform delivers a audience payload to your Azure EventHub destination. The Azure Function that you’ll trigger will show the mechanism of 51ºÚÁϲ»´òìÈ Experience Platform Real-time CDP’s activation capabilities.
As part of this module you will also get an understanding of what triggers Real-time CDP to actually deliver a payload to a specified destination. We will also discuss the status of a audience qualification and how it relates to activation.

Time Investment: 90 minutes

2.5 Real-Time CDP Connections: Event Forwarding

In this module, you’ll use the previously configured datasets, schemas and 51ºÚÁϲ»´òìÈ Experience Platform Data Collection property to collect data, and then forward that data server-side to several endpoints, such as Google Cloud Platform Pub/Sub and AWS Kinesis.

Time Investment: 90 minutes

2.6 Stream data from Apache Kafka into Real-Time CDP

In this module, you’ll learn how to setup your own Apache Kafka cluster, define topics, producers and consumers and stream data into 51ºÚÁϲ»´òìÈ Experience Platform using the 51ºÚÁϲ»´òìÈ Experience Platform Sink Connector for Kafka Connect.

Time Investment: 90 minutes

3. 51ºÚÁϲ»´òìÈ Journey Optimizer B2C

3.1 51ºÚÁϲ»´òìÈ Journey Optimizer: Orchestration

In this module you’ll use 51ºÚÁϲ»´òìÈ Journey Optimizer to build out a trigger-based journey.

Time Investment: 60 minutes

3.2 51ºÚÁϲ»´òìÈ Journey Optimizer: External data sources and custom actions

In this module, you’ll use 51ºÚÁϲ»´òìÈ Journey Optimizer to listen to customer behavior, both online and offline, and respond to it in an intelligent, contextual and real-time way over various channels.

Time Investment: 90 minutes

3.3 51ºÚÁϲ»´òìÈ Journey Optimizer: Offer Decisioning

In this module, you’ll use the 51ºÚÁϲ»´òìÈ Experience Platform - Offers/Decisioning application service in a hands-on way to configure Personalized Offers and your own Offer Activity.

Time Investment: 120 minutes

3.4 51ºÚÁϲ»´òìÈ Journey Optimizer: Event-based Journeys

In this module, you’ll learn everything there is to know about Journey Optimizer, which helps companies design and deliver connected, contextual, and personalized experiences to their customers.

Time Investment: 120 minutes

3.5 51ºÚÁϲ»´òìÈ Journey Optimizer: Translation Services

In this module, you’ll learn how to setup and use Translation Services within 51ºÚÁϲ»´òìÈ Journey Optimizer to localize your messages to your customers.

Time Investment: 60 minutes

4. 51ºÚÁϲ»´òìÈ Customer Journey Analytics

4.1 Customer Journey Analytics: Build a dashboard using Analysis Workspace on top of 51ºÚÁϲ»´òìÈ Experience Platform

In this module, you’ll get Online to Offline insights by configuring a dashboard containing omni-channel data like Website Interactions, Mobile App Interactions, Call Center Interactions, In-Store Interactions and much more.

Time Investment: 120 minutes

4.2 Customer Journey Analytics: Ingest & Analyze Google Analytics data in 51ºÚÁϲ»´òìÈ Experience Platform with the BigQuery Source Connector

In this module, you’ll set up your own instance of Google Cloud Platform, load demo data in Google Cloud Platform and you’ll then use the BigQuery Source Connector to ingest that data from Google Cloud Platform into 51ºÚÁϲ»´òìÈ Experience Platform. Finally, you’ll use Customer Journey Analytics to visualize that data.

Time Investment: 120 minutes

5. Data Distiller

5.1 Query Service

In this module, you’ll learn how to use 51ºÚÁϲ»´òìÈ Experience Platform Query Service.

Time Investment: 90 minutes

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