IBM Big Data Hub

AUGUST 7, 2023

It offers enhanced capabilities to analyze complex and large volumes of comprehensive recruitment data to accurately forecast enrollment rates at study, indication, and country levels. Recommendations can be presented through an interactive dashboard to facilitate understanding and enable stakeholders to make informed decisions.

Optimization 59

Optimization Forecasting Data-driven Strategy 59

Occam's Razor

OCTOBER 14, 2014

Couple of other examples of going to your own data to identify your benchmarks. Conversion rate is one of those metrics that I strongly encourage you only create benchmarks for from your own data. The best way is to segment these metrics and then set individual targets for your most important segments.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

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. They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites).

Metrics 141

Metrics Reporting Analytics Marketing 141

Sisense

JUNE 9, 2021

Like every other business, football has experienced rapid technological advances that generate and capture data from training and match play. And also like their counterparts in the business world, coaches are relying on metrics to guide their decision-making. Gleaning actionable intelligence from disparate data sources.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

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. Or something.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

JANUARY 31, 2022

They then proceeded to analyze three areas: the employee selection and onboarding, the daily staff management, and finally the employees’ behavior and interactions in the restaurants. Overall, the use of data analysis in this use case showed a significant increase in employee collaboration and increased operational efficiency for the company.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

AUGUST 1, 2021

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. This trust must be paramount when human lives are at stake. def create_model(): sgd = optimizers.SGD(lr=0.01, decay=0, momentum=0.9,

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139