Aggregator Metrics SQL 
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).
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.
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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.
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?
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!
Occam's Razor
JULY 15, 2014
It also handy explanations of the metrics, with key context where necessary. These will sound like: Metric x is down because of our inability to take advantage of trend y and hence I recommend we do z. It provides a brief snapshot of the entire business. From 3rd grader attendance to new artworks on view to expenses to (hurray!)
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?
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