CIO Business Intelligence

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. According to Mohammed, the results of this digital transformation journey are measurable and impressive. js and React.js.

Digital Transformation 111

Digital Transformation Dashboards Reporting Data Science 111

Jet Global

AUGUST 14, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. In the near future, AI algorithms will be able to be seamlessly applied to your existing data stores, unlocking further insight for your enterprise.

Enterprise 70

Enterprise OLAP Business Intelligence Cost-Benefit 70

Jet Global

OCTOBER 2, 2019

And how can the data collected across multiple touchpoints, from retail locations to the supply chain to the factory be easily integrated? Enter data warehousing. In the near future, AI algorithms will be able to be seamlessly applied to your existing data stores, unlocking further insight for your enterprise.

Enterprise 40

Enterprise OLAP Business Intelligence Cost-Benefit 40

Sisense

JUNE 9, 2021

In training, wearable devices measure players’ workload, movement, and fatigue levels to manage their fitness and positioning and optimize their performance during play. Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds. The same trend has happened in business.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. 2018-06-21). measure the subjects’ ability to trust the models’ results. Riccardo Guidotti, et al.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Domino Data Lab

FEBRUARY 4, 2019

People who attended JupyterCon 2017–2018 can attest, an “industry poster session” includes an open bar, catered hors d’oeuvres, lots of mingling … to paraphrase feedback from JupyterCon, “As a tech person, would I get up extra early to meet strangers for coffee at 8:00 am? The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Domino Data Lab

OCTOBER 23, 2019

As a result, there has been a recent explosion in individual statistics that try to measure a player’s impact. In looking at the results of the regression, it does appear that the variable TOTAL_MILLIONS, which is total attendance in millions is statistically significant (measured in a P value of less than.05) The R-squared value of.282

Statistics 59

Statistics Machine Learning Testing Modeling 59