Smart Data Collective

JULY 30, 2019

Big data is being used more frequently in healthcare facilities all over the world. One report shows that the global market for big data in healthcare is expected to reach $68.75 However, this figure misses some important nuances, such as which areas of medicine are using big data the most.

Big Data 78

Big Data Software Risk Measurement 78

Occam's Razor

OCTOBER 14, 2014

See step four in the process for creating your Digital Marketing and Measurement Model.]. Any big changes in your marketing/customer acquisition strategy over the last time period (more money doing Search, less money in Email, elimination Facebook as it does not work, etc., and the target for Organic Traffic might be be too low!

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

IBM Big Data Hub

AUGUST 7, 2023

Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. 2014 Bentley C, Cressman S, van der Hoek K, Arts K, Dancey J, Peacock S. Department of Health and Human Services.

Optimization 58

Optimization Forecasting Data-driven Strategy 58

Sisense

JUNE 9, 2021

Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds. The data collected by these devices is used to design personalized training plans. These developments have added a whole new dimension to data analysis.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Occam's Razor

SEPTEMBER 15, 2014

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. Surely you are not surprised that digital finally beats TV.

Metrics 141

Metrics Reporting Analytics Marketing 141

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. Brace yourselves for impact.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66