Rocket-Powered Data Science

SEPTEMBER 25, 2022

It is an insight engine, providing not only data for descriptive and diagnostic analytics applications, but also providing essential data for predictive and prescriptive analytics applications. All phases of the MVT process are discussed: strategy, designs, pilot, implementation, test, validation, operations, and monitoring.

Diagnostic Analytics 216

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 216

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

JULY 5, 2022

Prescriptive analytics: What do we need to do? Prescriptive analytics is the application of testing and other techniques to recommend specific solutions that will deliver desired business outcomes. Simplilearn adds a fourth technique : Diagnostic analytics: Why is it happening? Business analytics salaries.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

IBM Big Data Hub

SEPTEMBER 19, 2023

Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations. An electrical engineer can use prescriptive analytics to digitally design and test out various electrical systems to see expected energy output and predict the eventual lifespan of the system’s components.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Domino Data Lab

MARCH 3, 2021

It’s often stated that nothing changes inside an enterprise because you’ve built a model. As Gartner, Harvard, and other organizations keep reminding us , most models fail to reach production inside modern enterprise organizations. Leveraging usage/health metrics to drive model iteration and better end-user adoption.

Metrics 93

Metrics Modeling Data Science Sales 93

BizAcuity

MARCH 31, 2022

More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. But AI platforms like TensorFlow, MS Azure and Google AI allow large sets of data to be used for training, testing, developing and deploying AI applications and algorithms. Enterprise Artificial Intelligence.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52