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. examples, with constant reminders that’s it all about the data plus analytics! The digital twin is more than a data collector.

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

What are the benefits of business analytics? Predictive analytics is the use of techniques such as statistical modeling, forecasting, and machine learning to make predictions about future outcomes. Prescriptive analytics: What do we need to do? Examples of business analytics. San Jose Sharks build fan engagement.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

IBM Big Data Hub

SEPTEMBER 19, 2023

The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets. Healthcare systems can also forecast which regions will experience a rise in flu cases or other infections.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Birst BI

FEBRUARY 13, 2018

Constellation Research predicts that by 2020, 60 percent of mission-critical data will be accessed, rather than owned by enterprises – with external sources including SaaS, social networks, third-party enrichment data and partner information. Data-management capabilities, including data integration and self-service data preparation.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

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

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. Enterprise Artificial Intelligence. Artificial Intelligence Analytics. AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52