2007 Analytics Metrics 
Occam's Razor
APRIL 8, 2013
To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. This should not be news to you. Online, offline or nonline.
Occam's Razor
JANUARY 8, 2008
I was merrily using Time on Page and Time on Site metrics for quite some time before I actually realized how they were being measured. That's regardless of source: weather they use the religious truth from a Competitive intelligence tool or from their website web analytics solution. It was a real Doh (!) en-US; rv:1.8.1.7)
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AWS Big Data
MARCH 10, 2025
Most analytical workloads operate on millions or even billions of rows and generate aggregations and complex calculations. Our elapsed time analysis demonstrates how each configuration achieved its performance objectives, as shown by the average consumption metrics for each endpoint, as shown in the following screenshot.
Sisense
MAY 12, 2019
DevOps first came about in 2007-2008 to fix problems in the software industry and bring with it continuous improvement and greater efficiencies. For us, as an analytical company, the word “efficiency” is what sparks our interest. And it’s called DevOps analytics. But is that really true? Of course, there should be. The Process.
Octopai
JULY 9, 2020
As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. A key piece of legislation that emerged from that crisis was BCBS-239.
AWS Big Data
FEBRUARY 1, 2024
The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. The calculation methodology and query performance metrics are similar to those of the preceding chart.
CIO Business Intelligence
MAY 15, 2023
Other sports have been quick to embrace the use of data and analytics to transform how athletes are recruited, trained, and prepped for competitions, how they adjust to changing circumstances during play, and how they break down successes and failures after competition. It’s automating a lot of that data processing and analytics generation.”
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