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Some Experiences made during Analytics User Migration to Adobe Experience Cloud UsersNew

HiWe are currently preparing the migration of Analytics users to the Adobe Experience Cloud. As we have quite a few users, we practiced the migration with five users first, which was worth it.Here the feedback they came up with and some interesting findings after 3 client support sessions.I think some of them might be interesting for your own migration :In Analytics the login happened with usernames (in our case NOT the E-Mail adress), while in the Adobe Experience cloud, the user logs in with his/her E-Mail Adress. This fact is not reflected in the login dialogs.When users use their old bookmark (e.g. sc3.omniture.com) and login to with their Adobe ID oder Federated ID, the first login attempt fails and you have to try login a second time. Current Workaround: User shall use the new url "experiencecloud.adobe.com".The example mail given in Analytics Migration Help references "marketing.adobe.com", which leads to a redirect. Seems that depending on the security settings, this leads to an SSO problem. The Login Dialog is irritating for users which are using a enterprise or federated ids. It works, but usability is sub-optimal.First Login Dialog prompts for "Adobe ID":The second Login Dialog prompts for the Adobe ID (where user can put in their Enterprise/Federated ID). Alternatively the Enterprise ID not very prominently found at the bottom of the dialog.The Welcome Mail contains a typo, which might irritate a bit. The button is above and not below (BTW: Also the german version is wrong)We will compile those feedbacks in a separate Welcome Mail, which we send upfront to our user community.It would be helpfull to be able to configure a company specific welcome Mail, which is sent out in the same moment as the Welcome Message of the Adobe product is sent. Maybe anybody knows, how to do that?When adding users by mean of the bulk import into the Admin Console, we encountered a region specific problem. Our CSV's were not comma delimited, but Tab delimited. The resulting error code is not specific enough to spot the problem quickly. So if import fails, verify that your CSV is comma delimited Hope some of those findings is helpfull for you.FrankPS: I post this findings in the community (hoping, that they find their way into the FAQ and help pages).

Analysis Workspace Feature Request - Details TableNew

In Analysis Workspace, provide a new table type called “Details Table”.  I would think this would be on the level of Freeform Table.  From there dimensions and metrics can only be applied across the top It would treat everything at the Hit level.  Dimensions that are Visitor/People level would align automatically to the left, Visit level would be to the right of Visitor/People and Hit level dimensions and metrics would always be right most.Hits would be sorted and grouped by Visitor, Visit and Hit in chronological order.  There should be some type of shading to show the groupings.Any Visitor or Visit level values would repeat itself for each Hit in their respective Visitor or Visit grouping (note that Data Workbench does not repeat the value for each Hit but I think it should to make it easier to create Pivot Tables after exporting to Excel).Allow up to ten dimensions/metric combinations.  Any dimension or metric could be applied.  It would be great if the Marketing Cloud ID were available since that would be an easy way to show a unique Visitor and might be used to drill down to one Visitor (such as a potential fraud use case).It may make sense to default a timestamp dimension.  Ideally it would show down to the minute but Data Workbench typically only goes to the hour.The table would only show a sampling of the data but users could narrow their applied segment to potentially show non-sampled data.The table could be exported to show more data.Use Cases To troubleshoot suspected tagging issuesTo explain unusual data.  It is typically always explained when looking at the lowest (Hit) level.To research suspected cybersecurity or fraud Visits and Visitors.  The Cybersecurity team may provide a customer ID, IP address or other identifiable attribute to drill down to a single Visitor.  They want to understand the online traffic pattern of that user to confirm or clear suspected fraud.