CIO Business Intelligence

JULY 5, 2022

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? Examples of business analytics. San Jose Sharks build fan engagement.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Domino Data Lab

MARCH 3, 2021

Metric examples for a model optimizing sales results. If we only review our model’s performance at the end of a sales cycle, we may miss major elements that could help us improve or iterate the model itself to drive better success.

Metrics 93

Metrics Modeling Data Science Sales 93

BizAcuity

MARCH 31, 2022

Marketers also have access to several AI softwares to save time and optimize their work at every step of the funnel. Content writing, copywriting, video analytics and customer reinvestment, all have AI applications now. Integrating IoT and route optimization are two other important places that use AI. AI in Healthcare.

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. SQL manages and retrieves data from databases, handling larger datasets.

Statistics 52

Statistics Data mining Visualization Reporting 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. Another way of saying this is: given some desired optimal outcome Y, what conditions X should we put in place.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

Jet Global

MAY 1, 2023

Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. We have outlined the requirements that most providers ask for: Data Sources Strategic Objective Use native connectivity optimized for the data source. Diagnostic Analytics: No longer just describing.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52