Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. I’ve intended to create a simple visual that absorbs the scale, complexity and many moving parts. That’s because we have to talk about tools (so many!),

Analytics 93

Analytics Metrics Strategy Measurement 93

Occam's Razor

JANUARY 31, 2017

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. Don't fragment data, don't forget higher order bits. The end result in all these cases is that data efforts come to naught.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Occam's Razor

AUGUST 11, 2015

Custom reports allow you to package up entire datasets for deeper analysis. Many custom reports are wrong because we mess up the fundamental data model in analytics. Social Media Performance Analysis. Business Outcomes Analysis. Campaign Cost Analysis. Key Metrics: Map Overlay Visualization.

Reporting 158

Reporting Analytics Metrics Key Performance Indicator 158

Occam's Razor

FEBRUARY 25, 2014

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Data presentation! After all you spent so much time on collection, reporting and analysis. Your data presentation is your brand. #2.

Visualization 144

Visualization Key Performance Indicator Dashboards Metrics 144

Occam's Razor

JANUARY 30, 2012

Produce built-in visualization magic. Ravaging data. Leverage Custom Alerts – Let Data Kick Your Butt Into Action. #3. Use Table View Options (Comparison, Pivots, In-line Filters) – Faster Initial Insights. #4. In-Page Analytics – Re-imagine Traveling Through Data. #5. Ravage all the features.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

Occam's Razor

OCTOBER 14, 2020

The gap between a bad and good data visualization is small. The gap between a good and great data visualization is a vast chasm! We’ll start by looking at the two sets of humans who are at the root of the conflict of obsessions and then learn to assess how effective any data visualization is in an entirely new way.

Visualization 107

Visualization Risk Optimization IT 107

Occam's Razor

FEBRUARY 7, 2011

If you are in a company this is easier to get done as you have access to people and at least some data (even if the site is not tagged). For help with identifying opportunities and how to do business analysis please see this post: The Beginner's Guide to Advanced Web Data Analysis. That takes a few days of pain.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94