CIO Business Intelligence

FEBRUARY 6, 2025

Even basic predictive modeling can be done with lightweight machine learning in Python or R. By embracing a pragmatic and sustainable approach to analytics, we can unlock the true potential of data while minimizing our environmental impact. We already have excellent tools for these tasks.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

CIO Business Intelligence

JULY 5, 2022

What are the benefits of business analytics? Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. 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

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

Birst BI

OCTOBER 30, 2018

Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. Well, what if you do care about the difference between business intelligence and data analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

IBM Big Data Hub

SEPTEMBER 19, 2023

Descriptive analytics: Descriptive analytics evaluates the quantities and qualities of a dataset. A content streaming provider will often use descriptive analytics to understand how many subscribers it has lost or gained over a given period and what content is being watched.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smarten

NOVEMBER 26, 2023

Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. BI tools leverage analytics and reporting, help the enterprise manage data and user access and plan for the future.

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40