Overview

Adobe Analytics

Stacks121

Followers109

Votes0

Tableau

Stacks1.3K

Followers1.4K

Votes8

Adobe Analytics vs Tableau: What are the differences?

Introduction

Adobe Analytics and Tableau are two popular tools used for data analysis and visualization. While both serve similar purposes, there are key differences that set them apart. In this article, we will explore six major differences between Adobe Analytics and Tableau.

Data Source: Adobe Analytics primarily focuses on analyzing data from various digital marketing channels such as websites, mobile apps, and social media. It provides detailed insights into customer behavior, marketing campaigns, and user experience. On the other hand, Tableau is a versatile tool that can connect to multiple data sources, including databases, spreadsheets, cloud services, and more. It allows users to blend, clean, and manipulate data from diverse sources for comprehensive analysis.
Visualization Capabilities: Tableau is renowned for its exceptional data visualization capabilities. It offers a wide range of visualization options, including charts, graphs, maps, and dashboards. With its intuitive drag-and-drop interface, users can easily create interactive visualizations that are both aesthetically pleasing and informative. While Adobe Analytics also provides basic visualization options, it primarily focuses on generating comprehensive reports, rather than customizable visualizations.
Customization and Flexibility: Tableau offers greater customization and flexibility in terms of data analysis and visualization. Users can define their own calculations, create custom fields, and apply advanced analytics techniques using Tableau's built-in calculation engine. In contrast, Adobe Analytics provides a more structured approach, with pre-defined metrics and reports that may limit the level of customization users can achieve.
Real-time vs. Historical Data: Adobe Analytics specializes in analyzing real-time data, enabling businesses to make quick decisions based on up-to-the-minute information. It offers real-time data streaming, alerting, and segmentation capabilities, allowing instant insights into visitor behavior. Conversely, Tableau primarily focuses on analyzing historical data, enabling businesses to identify trends and patterns over time.
User Skill Level: Tableau is known for its user-friendly interface, making it accessible to users with varying levels of technical expertise. It offers a visual drag-and-drop interface, which allows users to build interactive visualizations without extensive coding knowledge. In comparison, Adobe Analytics requires a deeper understanding of digital analytics concepts and may be better suited for users with a background in marketing or data analysis.
Collaboration and Sharing: Tableau offers robust collaboration and sharing features, allowing multiple users to collaborate on projects and share dashboards and reports with ease. It offers user-level permissions, version control, and integration with popular collaboration tools. Adobe Analytics, while it provides basic collaboration features, may not offer the same level of sophistication and ease of sharing as Tableau.

In summary, Adobe Analytics and Tableau differ in terms of their data sources, visualization capabilities, customization flexibility, focus on real-time versus historical data, user skill level requirements, and collaboration and sharing features. While Adobe Analytics is specialized for analyzing digital marketing data in real-time, Tableau offers a more versatile and visually appealing approach to data analysis from various sources.

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Advice on Adobe Analytics, Tableau

Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

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Comments

Wei

CTO at Flux Work

Jan 8, 2020

Decided

Very easy-to-use UI. Good way to make data available inside the company for analysis.

Has some built-in visualizations and can be easily integrated with other JS visualization libraries such as D3.

Can be embedded into product to provide reporting functions.

Support team are helpful.

The only complain I have is lack of API support. Hard to track changes as codes and automate report deployment.

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Detailed Comparison

Adobe Analytics	Tableau
It is a web analytics service used in the measurement, collection, analysis and reporting of web data for purposes of understanding and optimizing web usage. It makes hard things easy. Its AI and machine learning brings hidden opportunities and answers to everyone with the click of a button.	Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
-	Connect to data on prem or in the cloud—whether it’s big data, a SQL database, a spreadsheet, or cloud apps like Google Analytics and Salesforce. Access and combine disparate data without writing code. Power users can pivot, split, and manage metadata to optimize data sources. Analysis begins with data. Get more from yours with Tableau.; Exceptional analytics demand more than a pretty dashboard. Quickly build powerful calculations from existing data, drag and drop reference lines and forecasts, and review statistical summaries. Make your point with trend analyses, regressions, and correlations for tried and true statistical understanding. Ask new questions, spot trends, identify opportunities, and make data-driven decisions with confidence.; Answer the “where” as well as the “why.” Create interactive maps automatically. Built-in postal codes mean lightning-fast mapping for more than 50 countries worldwide. Use custom geocodes and territories for personalized regions, like sales areas. We designed Tableau maps specifically to help your data stand out.; Ditch the static slides for live stories that others can explore. Create a compelling narrative that empowers everyone you work with to ask their own questions, analyzing interactive visualizations with fresh data. Be part of a culture of data collaboration, extending the impact of your insights.
Statistics
Stacks 121	Stacks 1.3K
Followers 109	Followers 1.4K
Votes 0	Votes 8
Pros & Cons
No community feedback yet	Pros 6 Capable of visualising billions of rows 1 Responsive 1 Intuitive and easy to learn Cons 3 Very expensive for small companies

What are some alternatives to Adobe Analytics, Tableau?

Google Analytics

Google Analytics lets you measure your advertising ROI as well as track your Flash, video, and social networking sites and applications.

Mixpanel

Mixpanel helps companies build better products through data. With our powerful, self-serve product analytics solution, teams can easily analyze how and why people engage, convert, and retain to improve their user experience.

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Piwik

Matomo (formerly Piwik) is a full-featured PHP MySQL software program that you download and install on your own webserver. At the end of the five-minute installation process, you will be given a JavaScript code.

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Power BI

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Clicky

Clicky Web Analytics gives bloggers and smaller web sites a more personal understanding of their visitors. Clicky has various features that helps stand it apart from the competition specifically Spy and RSS feeds that allow web site owners to get live information about their visitors.

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.