Instructors: Charlie Fitz & Mykhailo Datsenko, Senior Product Managers Description: Ever found yourself staring at analytics data, wondering if you can truly trust it, or even where to begin? You're not alone. In today's data-rich world, the real challenge isn't a lack of information, but a lack of confidence in using it. This high-level webinar...
Search Results: analytics
-
-
This short course for eCommerce managers covers the fundamentals of site administration, connectors, integrations, and Configured Commerce Analytics. ... This short course for eCommerce managers covers the fundamentals of site administration, connectors, integrations, and B2B commerce analytics. ... End-user training
-
Select the exam you would like to purchase from the list below, fill out your credit card details and submit payment to complete the purchase! Please note that exam registrations are intended for individual use and cannot be transferred. To purchase your exam via contract, reach out to your Customer Success Manager (CSM), Partner Success Manager...
-
Watch this recording of the insightful training session with Mykhailo Datsenko, Senior Product Manager specializing in Experimentation Analytics. Enhance your experimentation skills in Optimizely by learning to design impactful experiments, utilize advanced analytics, and drive data-informed decisions. Agenda: Importance of Experiment Set-Up for...
-
Generate an exploration using Opal and Optimizely Analytics for things like showing daily unique users who played content, broken down by country for the last 30 days. ... Generate an exploration using Opal and Optimizely Analytics for things like showing daily unique users who played content, broken down by country for the last 30 days.
-
This path provides an intermediate-level overview of Optimizely CMS 12, focusing on its core architecture and the cloud-first Platform as a Service (PaaS) execution model. If you're familiar with web development but...
-
This path provides an intermediate-level overview of Optimizely CMS 12, focusing on its core architecture and the cloud-first Platform as a Service (PaaS) execution model. If you're familiar with web development but new to Optimizely's CMS offerings, this guide will help you understand the foundational concepts that make CMS 12 a powerful and...
-
Instructor: Mike Chu, Staff Software Engineer, ExperimentationAudience: Developers, Data/Analytics Engineers, and Technical Program Managers involved in experiment analysis or reporting Explore how Optimizely measures experimentation results and how its methodology compares to general-purpose analytics tools. This session covers common sources...
-
Exploration Generation Agent
Optimizely Opal EssentialsGenerate an exploration using Opal and Optimizely Analytics for things like showing daily unique users who played content, broken down by country for the last 30 days. ... Generate an exploration using Opal...
-
... This module provides an introduction to the Optimizely Analytics User Interface, giving you a guided tour of key components such as the navigation bar, project dashboard, and workspace layout. You’ll also get a brief look at how analytics data is integrated into the UI to help you monitor performance and make data-informed decisions....
-
... Welcome In this lesson, you'll learn how data modeling works in Optimizely Analytics and how it leverages your existing warehouse setup. With its warehouse-native architecture, Analytics lets you define datasets directly from your current schemas—without moving data, building new pipelines, or restructuring your models. After...
-
... Welcome Welcome to the Data Source Connection module. In this section, you'll learn how to establish secure connections between Optimizely Analytics and your cloud data warehouse. These connections are the foundation that allow Analytics to run queries and deliver insights from your raw data in real time. By the end of this module, you...
-
... What is a Source Dataset? A source dataset is a logical table in Analytics that maps directly to a table, view, or SQL query in your connected data warehouse. It does not require any data to be copied or moved— Analytics reads from the warehouse in real time. Once created, source datasets can be used for direct analysis or as the...
-
... Welcome In Optimizely Analytics, Datasets are the foundation for all types of analysis—whether you're tracking events, segmenting users, measuring retention, or exploring data trends. Datasets allow you to bring in structured data from your data warehouse and define how that data should be interpreted inside Analytics. This chapter will...
-
...their origins: source datasets are mapped straight to tables in the data warehouse, whereas derived datasets are constructed from other datasets that already exist within Analytics. How to create a Derived Dataset in Optimizely Analytics You can create a derived dataset by applying custom SQL statements to one or more existing datasets....
-
Use Opal as a Google Analytics Traffic Analyst that can develop insights and create executive summaries. ...
-
...to maximize experimentation impact and make better-informed choices. Agenda: Understanding ODP as the Intelligence Layer Driving Segmentation & Targeting Reporting & Analytics Best Practices Using ODP for Smarter Decision-Making Q&A ... 1 hour ... Matthew Nonnamaker ... 1 hour ... Matthew Nonnamaker ... Live training...
-
... What is a Column Actor Dataset? In Analytics, an actor refers to any entity relevant to your business analysis—such as a user, organization, membership, or item. Typically, an actor dataset maps to a dimension table in the data warehouse. However, there are cases where no such dimension table exists. Instead, the only reference to the...
-
... Welcome In Optimizely Analytics, secure and structured access control is managed through two core components: User Authentication and Users and Groups Management. User Authentication ensures that only authorized individuals can log in to the platform, while Users and Groups Management define how permissions and responsibilities are...
-
... Welcome The Catalog is the central hub for organizing and managing your objects in Optimizely Analytics. It acts as a structured directory where you can store, locate, and manage dashboards, metrics, cohorts, and other assets—making collaboration and navigation smooth and intuitive. By the end of this module, you’ll be able to:...
-
... Welcome In this module, you'll explore how Event Taxonomy works in Optimizely Analytics. Event taxonomy is the framework that defines how events are named, structured, and described within Analytics, making it easier for teams to understand, manage, and analyze behavioral data consistently across your organization. By establishing a...
