Occam's Razor

FEBRUARY 9, 2015

How is competitive intelligence data collected? Competitive intelligence data will never match your site's analytics tool. CI data collection. How does any tool have access to your website or mobile app data? But in the lovely environment of the web there are a number of ways to collect your data.

Metrics 155

Metrics Reporting IT Advertising 155

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. Each data attribute, or feature, is managed within a feature store and can be added, deleted, combined or adjusted to improve the machine learning model.

Data Science 54

Data Science Machine Learning Cost-Benefit Deep Learning 54

Occam's Razor

OCTOBER 12, 2017

Years and years of practice with R or "Big Data." " Years of proficiency in analyzing m campaigns for n channels resulting in production of z reports. Optimal Starting SCOTUS Starting Points. If you would like to pursue my personal strategy, here are a collection of cases to use as starting points.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Occam's Razor

MARCH 30, 2017

Yes, a silo but so much better than 2015. We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures. So, we have an army of glorified data regurgitators. They send out reports and dashboards.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. We have a lot of data literacy material published and we annually update our must-have roles work.

Analytics 64

Analytics Measurement Modeling Data-driven 64

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. It also forces a lot less think than might be optimal. Yes, the trended data will be important in some executional kind of way.

Visualization 148

Visualization IT Strategy Key Performance Indicator 148

Domino Data Lab

FEBRUARY 4, 2019

These two points provide a different kind of risk management mechanism which is effective for science, specifically data science. Of course, some questions in business cannot be answered with historical data. Instead they require investment, tooling, and time for data collection. Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66