IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

Rocket-Powered Data Science

SEPTEMBER 25, 2022

The digital twin is more than a data collector. 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. 4) The DT Canvas (chapter 4)! 6) Specific Industry 4.0

Diagnostic Analytics 214

Diagnostic Analytics Prescriptive Analytics Internet of Things IoT 214

CIO Business Intelligence

JUNE 7, 2022

What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI). Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Data analytics and data science are closely related.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Domino Data Lab

MARCH 3, 2021

In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. How do we track value enabled through better decision support such as a data science model or a diagnostic visualization versus an experienced manager making decisions?

Metrics 93

Metrics Modeling Sales Data Science 93

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. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

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. Artificial Intelligence Analytics. AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Descriptive: find the right answers in the data. Cognitive: find the right questions in the data.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157