Getting the Most Out of Adobe Analytics Data Warehouse
Adobe Analytics Data Warehouse is your go-to for storing data, making custom reports, and digging into advanced data connections. It’s a must-have for anyone serious about SEO.
Copying Data and Making Custom Reports
With Data Warehouse, you can stash your Adobe Analytics data for the long haul and whip up custom reports (Adobe Analytics Data Warehouse). You can filter the data to fit your needs, giving you insights that hit the mark for your SEO and marketing plans.
These custom reports can handle a ton of data in one go, so you can look at big datasets without breaking a sweat. Plus, you can set them up to run on a schedule and download them whenever you need. For more tips on custom reporting, check out our adobe analytics tutorial.
Digging into Advanced Data Connections
Data Warehouse reports can show you complex data connections from raw data, based on unique queries (Adobe Analytics Data Warehouse). This is gold for SEO pros who want to find hidden patterns and links in their data.
By tapping into these advanced data connections, you can get a clearer picture of customer behavior, how well your campaigns are doing, and other key metrics. This helps you understand how different factors affect your SEO performance. For example, seeing how certain keywords or content types drive traffic and conversions can sharpen your SEO game.
Feature | What It Does |
---|---|
Data Copy | Keeps your Adobe Analytics data safe for the long term |
Custom Reports | Lets you create detailed reports with lots of data |
Advanced Relationships | Shows complex patterns and connections |
For more on creating and managing Data Warehouse requests, check out our adobe analytics implementation.
Handy Internal Links
- Adobe Analytics Training
- Adobe Analytics API
- Adobe Analytics Dashboard
- Adobe Analytics Segmentation
- Adobe Analytics Integration
- Adobe Analytics Campaign Tracking
- Adobe Analytics Data Export
So, whether you’re storing data, making custom reports, or finding advanced data connections, Adobe Analytics Data Warehouse has got your back. Dive in and see how it can boost your SEO efforts!
Processing and Delivery
Getting your data processed and delivered smoothly is key when using Adobe Analytics Data Warehouse. Knowing how your data moves from processing to delivery can help you make the most of this tool for SEO and other marketing efforts.
Email and Cloud Storage Delivery
Adobe Analytics Data Warehouse gives you options for how you get your reports. You can either get them via email or have them sent straight to a cloud storage service (Adobe Analytics Data Warehouse).
- Email Delivery: If you choose email, remember that files over 1 MB get zipped automatically. The biggest file you can send via email is 10 MB. If your report is bigger, you might need to split it up or use cloud storage.
- Cloud Storage Delivery: Cloud storage is great for bigger files or sharing reports with your team. This way, you don’t have to worry about email size limits.
These options make it easier to handle large amounts of data.
Delivery Method | File Handling | Maximum Size |
---|---|---|
Files over 1 MB are zipped | 10 MB | |
Cloud Storage | No size limit | N/A |
Processing Time and File Size
How long it takes to process your Data Warehouse reports depends on how complex your query is and how much data you need. Usually, it can take up to 72 hours (Adobe Analytics Data Warehouse). This time lets Adobe Analytics sort through the data and give you accurate reports.
Things that affect processing time:
- Query Complexity: More complex queries with advanced data relationships or custom calculations will take longer.
- Data Volume: Bigger data sets, especially those with lots of historical data, need more time.
Knowing these factors helps you plan your reports better. For more tips on managing data requests, check out our guide on creating and managing requests.
When setting up your data requests, remember the automatic zipping for files over 1 MB and the 10 MB email limit. For large data sets, cloud storage is a good option to avoid these limits.
Processing Aspect | Details |
---|---|
Processing Time | Up to 72 hours |
Query Complexity | Affects processing duration |
Data Volume | Larger data sets take longer |
File Handling | Files over 1 MB are zipped automatically |
Adobe Analytics Data Warehouse is built to be flexible and reliable, so you can get your data how and when you need it. For more tips on using Adobe Analytics, check out our adobe analytics tutorial and adobe analytics dashboard resources.
User Access and Management
Getting user access and management right is key to making the most out of Adobe Analytics Data Warehouse. Let’s break down the basics of admin permissions and how to create and manage user groups.
Admin Permissions
Only users with admin-level permissions can tap into the Data Warehouse features in Adobe Analytics. This keeps the powerful data extraction tools in the hands of those who know what they’re doing. You can enable it for global and child report suites, but not for rollup report suites (Adobe Analytics Data Warehouse).
Admins can:
- Turn on Data Warehouse for specific report suites.
- Set up global and child report suites.
- Create user groups with Data Warehouse access.
By keeping these permissions tight, admins make sure only the right folks get their hands on sensitive data, keeping everything secure and tidy.
Creating and Managing User Groups
Setting up and managing user groups is a big part of user access in Adobe Analytics. Admins can create a group with Data Warehouse access and then add non-admin users to it (Adobe Analytics Data Warehouse). This keeps things organized and makes sure everyone has the right level of access.
Steps to Create a User Group
- Go to Admin Console: Head over to the Admin Console in Adobe Analytics.
- Create New Group: Choose the option to create a new user group.
- Set Permissions: Assign the necessary permissions for Data Warehouse access.
- Add Users: Add non-admin users to the group.
Managing User Groups
Admins can manage user groups by:
- Updating Permissions: Change permissions as needed to match new data access rules.
- Adding/Removing Users: Keep the user list up-to-date so only the right people have access.
- Monitoring Access: Regularly check group activities to make sure everything’s above board.
Task | Admin | Group Manager |
---|---|---|
Enable Data Warehouse | Yes | No |
Assign Permissions | Yes | No |
Add/Remove Users | Yes | Yes |
Monitor Activities | Yes | Yes |
Want to learn more about Adobe Analytics? Check out our adobe analytics tutorial and adobe analytics training resources. Knowing how to manage user access and permissions can really boost your data game, leading to better SEO and marketing results.
Best Practices for Data Warehouse
Managing Adobe Analytics Data Warehouse requests well is key to boosting your SEO game. Let’s break down how to create and handle these requests and share some handy resources to make the most of your Data Warehouse.
Creating and Managing Requests
Setting up and managing Data Warehouse requests in Adobe Analytics isn’t rocket science, but it does involve a few steps. First off, you need to enable Data Warehouse for the right report suites. This works for global and child report suites, but not for rollup report suites (Adobe Analytics Data Warehouse). Once that’s done, create a group with Data Warehouse access and add non-admin users to it.
When you’re setting up a Data Warehouse request, nailing the scope and filters is crucial. This ensures the data you pull is spot-on for your SEO analysis. You can filter by session duration, page views, and occurrences to create custom reports that fit your needs.
Step | Description |
---|---|
1 | Enable Data Warehouse for specific report suites |
2 | Create a group with Data Warehouse access |
3 | Assign non-admin users to the group |
4 | Define scope and filters for data extraction |
5 | Create custom reports based on filtered data |
Also, remember that Data Warehouse requests don’t deduplicate data. So, it’s a good idea to include extra fields in your export for manual deduplication. This helps you get accurate visit metrics when using tools like Snowflake and visualizing in Tableau.
Resources for Data Warehouse Usage
To get the most out of Data Warehouse, Adobe offers a bunch of resources to help you understand and use its features. These include documentation, tutorials, and community forums.
Documentation: Adobe’s official Data Warehouse documentation is a goldmine of info. It covers everything from basic setup to advanced usage. Check it out here.
Tutorials: If you’re new to Adobe Analytics, tutorials are a great way to get up to speed. They offer step-by-step instructions on using Data Warehouse for SEO and other marketing channels. Find them on the Adobe Experience League website. Here’s a tutorial link.
Community Forums: The Adobe Analytics community is a treasure trove of tips and insights. It’s a great place to ask questions, share experiences, and learn best practices. Join the conversation on the Adobe Community.
Resource | Description | Link |
---|---|---|
Documentation | Comprehensive guides on Data Warehouse usage | Adobe Analytics Data Warehouse |
Tutorials | Step-by-step instructions for beginners | Adobe Analytics tutorial |
Community Forums | Engage with other users for insights and tips | Adobe Community |
By following these best practices and tapping into these resources, you’ll be a Data Warehouse pro in no time, leveraging Adobe Analytics to its fullest for SEO and beyond. For more advanced training, check out Adobe Analytics training.
Comparing Data in Adobe Workspace
Understanding why data looks different between Adobe Analytics Data Warehouse and Adobe Workspace is key for accurate SEO analysis.
Visit Totals Discrepancy
When you check visit totals for a URL or site in Adobe Data Warehouse and Adobe Workspace, you’ll often see a big difference. Adobe Data Warehouse usually shows almost double the visits compared to Adobe Workspace for the same page and date range (Adobe Community).
This happens because Adobe Data Warehouse doesn’t remove duplicate data, unlike Adobe Workspace. So, the visit totals in Data Warehouse might count the same visitor more than once, making the numbers look bigger.
Data Source | Visit Totals |
---|---|
Adobe Data Warehouse | x2 |
Adobe Workspace | x1 |
Deduplication and Metric Selection
To fix the visit totals issue, you need to remove duplicates. Since Data Warehouse doesn’t do this automatically, you should add extra fields in the export to manually remove duplicates. Tools like Snowflake can help with this, and you can visualize the data in Tableau.
When picking metrics for comparison, Data Warehouse is better for hard metrics like Page Views and Occurrences, rather than metrics with attribution like Visits or Visitors (Adobe Community). Pageviews don’t need deduplication, making them a solid choice for reporting.
For a true comparison, run a report in both Adobe Workspace and Data Warehouse using the same unique visitor metric without extra dimensions to spot discrepancies due to metric calculation.
Metric | Deduplication Required | Good for Data Warehouse |
---|---|---|
Page Views | No | Yes |
Occurrences | No | Yes |
Visits | Yes | No |
Visitors | Yes | No |
For more tips on getting the most out of your data, check out our guides on adobe analytics data export and adobe analytics segmentation.
Getting the Most Out of Adobe Analytics Data Warehouse
Want to squeeze every drop of insight from Adobe Analytics Data Warehouse? Let’s break down which metrics to zero in on and how to whip up comparison reports that actually make sense.
Best Metrics for Data Warehouse
Adobe Analytics Data Warehouse shines with straightforward metrics like Page Views and Occurrences. These don’t need deduplication, making them a breeze to analyze in bulk. Metrics like Visits or Visitors? Not so much. They need deduplication, which complicates things.
Metric | What It Means | Good for Data Warehouse? |
---|---|---|
Page Views | Total pages viewed | Yes |
Occurrences | Total times an event happened | Yes |
Visits | Number of sessions | No |
Visitors | Unique users | No |
For a deep dive, export Custom Link Instances and Custom Link dimensions. These give you a closer look at user interactions and help with filtering.
Making Comparison Reports and Exporting Data
Creating comparison reports can get tricky. Different platforms handle deduplication differently, so Visit Totals might not match between Adobe Workspace and Data Warehouse.
To nail those comparison reports:
- Stick to Simple Metrics: Use Page Views and Occurrences to avoid deduplication headaches.
- Export the Right Stuff: Include Custom Link Instances and dimensions for detailed filtering.
- Automate with Adobe Analytics API: Use the Adobe Analytics API for easy data extraction and comparison.
To export data, head to the Adobe Analytics Data Warehouse interface. Pick your metrics and dimensions, set the date range, and apply filters to get the data you need.
For step-by-step guides, check out our pages on adobe analytics data export and adobe analytics tutorial.
By focusing on the right metrics and following these tips, you can make Adobe Analytics Data Warehouse work for you, boosting your SEO and marketing efforts.