CIO Business Intelligence

FEBRUARY 6, 2025

In retail, they can personalize recommendations and optimize marketing campaigns. In life sciences, simple statistical software can analyze patient data. These traditional tools are often more than sufficient for addressing the bread-and-butter analytics needs of most businesses. You get the picture. Ive seen this firsthand.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Smart Data Collective

DECEMBER 19, 2021

Comprehensive data processing requires robust data analysis, statistics, and machine learning. In such cases, data analysts run the descriptive analytics to find out, and Python comes into the business. The post Python for Business: Optimize Pre-Processing Data for Decision-Making appeared first on SmartData Collective.

Optimization 141

Optimization Machine Learning Data mining Statistics 141

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What is the difference between business analytics and business intelligence? Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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. What is the point of those obvious statistical inferences? This is prescriptive power discovery.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

Smart Data Collective

MARCH 11, 2022

Customer service analytics assist you in tracking and comparing key performance indicators (KPIs) to service level agreements (SLAs). You can see which representatives are meeting their targets and which ones need to boost their statistics this way. Customer Experience Analytics. Customer Retention Analytics.

Customer Analytics 130

Customer Analytics Analytics Key Performance Indicator Big Data 130

Sisense

JUNE 30, 2020

The primary objective of data visualization is to clearly communicate what the data says, help explain trends and statistics, and show patterns that would otherwise be impossible to see. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Visualizations: past, present, and future.

Visualization 93

Visualization Analytics Dashboards Data-driven 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. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52