analytics

I have a table with three columns ( lending_id int, installment_n serial int, status text ) and I wonder how to retrieve the biggest gap of WAITING_PAYMENT (status) for each lending_id. For the following example: lending_id | installment_n | status 71737 1 PAID 71737 2 PAID 71737 3 PAID 71737 4 PAID 71737 5 PAID 71737 6 WAITING_PAYMENT 71737 7 WAITING_PAYMENT 71737 8 WAITING_PAYMENT 71737 9 WAITING_PAYMENT 71737 10 WAITING_PAYMENT 71737 11 WAITING_PAYMENT 71737 12 WAITING_PAYMENT 71737 13 WAITING_PAYMENT 71737 14 WAITING_PAYMENT 71737 15 WAITING_PAYMENT 71737 16 WAITING_PAYMENT 71737 17

We are trying to build a histogram of session length in a given time period. Currently, we have sess:start and sess:end events which contains the session id and user id. I am wondering what's the best way to compute this data? Can this be achieve using the funnel api? Stephanie Stroud Have you checkout out the recipes section in Keen IO's docs ? Here is an excerpt from the section on histogram recipes for Session Length that might be really helpful. Excerpt To create a histogram for session lengths, like the one shown above, you can run a count analysis on an event collection for completed

I have a question regarding Sitecore Analytics and user profile keys. I need to be able to get the score of a profile key for an individual page. For example, if I have a profile key called "traveler" that could have a value of 1-10 on a given page, I need to be able to get the value for that key that was assigned by the content author. I have found that by using the following: Sitecore.Analytics.AnalyticsTracker.Current.Data.Profiles.GetProfile("Profile Name").GetProfileKeyValue("traveler") I can get the total score that the user has accumulated throughout their session, but I cannot seem to

Compared to competing analytics services, Amazon Mobile Analytics appear to require many more configuration and integration steps. For example, in Flurry Analytics, the setup is pretty simple: [Flurry startSession:@"<app-id>"]; [Flurry logEvent:@"<event-name>"]; // Optionally, set the userID [Flurry setUserID:@"userid"]; I was hoping the equivalent in Amazon Mobile Analytics would be something like this for unauthenticated users: [AWSLogger defaultLogger].logLevel = AWSLogLevelVerbose; AWSMobileAnalytics* analytics = [AWSMobileAnalytics mobileAnalyticsForAppId:@"<app-id>"]; id

Also, is there anything wrong with doing transforms/joins directly within BigQuery? I'd like to minimize the number of components and steps involved for a data warehouse I'm setting up (simple transaction and inventory data for a chain of retail stores.) Loading data via Cloud Storage is the fastest (and the cheapest) way. Loading directly can be done via app (using streaming insert which add some additional cost) For the doing transformation - if what are you plan/need to do can be done in BigQuery - you should do it in BigQuery :) - it is the best and fastest way of doing ETL. But you should