Aggregator Metrics SQL 
ConversionXL
FEBRUARY 18, 2020
For example, while the data aggregation process in Google Analytics seems like a “normal” feature, it might be a hurdle if your business needs to process data at the hit level instead of by sessions or campaigns. Custom dimension and metrics. With Google Analytics 360, you can have 200 custom dimensions and 200 custom metrics.
eranki.tumblr.com
JULY 13, 2012
App-specific metrics. Another thing that became increasingly useful was to have thousands of custom stats aggregated over thousands of servers graphed. We eventually ended up converting everything to SQLAlchemy’s lowest-level language for constructing SQL (one step away from raw SQL).
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Version One Ventures
AUGUST 16, 2017
Let’s think about the typical (and simplified) data flow in a company: raw data is aggregated, normalized or processed and then stored in a data warehouse. As a company grows bigger, dashboards sprout up all over the organization with KPIs and metrics that mean different things to different people. What’s the problem with this?
ConversionXL
MAY 13, 2020
After a few hours playing around with SQL , I was already able to deliver insights I never could have with aggregated Google Analytics reports. What’s the difference between raw and aggregated data in Google Analytics? Google Analytics, in the free version, provides only aggregated data. Where do my users come from?
Startup Lessons Learned
JANUARY 4, 2009
If youre of the type of organization that doesnt use db access objects directly, but simply passes SQL statements through a central API, you can try this: consider the entity identifier as part of the statement itself. Nearly every SQL query I see has a join. The actual directory itself is straightforward. E, How is WoW sharded?
ConversionXL
NOVEMBER 3, 2016
What Are Your Goals, and What Are Your Metrics? What this means depends on the company, but it can take into account different metrics like pathing, time on site, video engagement, company size, role, etc. So the process in B2B looks a bit like this (simplified): Visitor → MQL → SQL → customer.
Occam's Razor
JANUARY 7, 2014
11: Close to zero aggregated analysis exists, everything's segmented. #10: They are generic mash-ups that tailor to almost no one's needs, and more often than not contain awful things like nine not-really-thought out metrics for one dimension in a report. All data in aggregate is crap. " Kisses. Angels singing!
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