Welcome to Mastering Adobe Analytics Series

use manual imports in Adobe Analytics to fix wrong data retroactively

use Classifications and the Classification Rule Builder for retroactive changes on filters, segments, metrics

avoid gaps in marketing data happening in the first place with metadata management

discover how to use Analysis Workspace beyond its retrospective analysis capabilities

learn how to build every KPI imaginable with functions in Calculated Metrics

find out how using predictable analysis in Analysis Workspace can help you democratize data access in your organization

use single list variables to capture all small attributes

introduce namespacing through Classifications

use Classification Rule Builder to unlock unlimited values

build Segments, Calculated Metrics, and Filters based on attributes

bring your full data layer in Adobe Analytics

track your data layer as context data with Adobe Launch extensions

use data collection flags more efficiently

implement Counter Evars to better understand the role webpage in the onsite journey

use Processing Rules to increment Evars without effort

prepare a user-friendly environment with Classifications for clustered and clean values

employ Adobe Analytics' attribution capabilities beyond the classic marketing use cases

ingest data from any system for free in Adobe Analytics by using Data Sources

create a dedicated data warehouse report suite that is purpose-built to hold data from other systems

cluster components in Adobe Analytics in one framework

use generalized dimensions to balance flexibility and number of components

combine dimensions with Classifications rules into a single dimension

train your team efficiently and keep documentation consistent with a scalable method

use the Data Dictionary feature to create more meaningful and descriptive names for your components

use emojis to add a touch of personality to your dashboard

create dashboards that are not only informative but also visually appealing