O'Reilly on Data

OCTOBER 16, 2018

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. That’s why decision-makers consider business intelligence their top technology priority. These problems are further compounded as companies move to adopt more sophisticated data science and AI.

Business Intelligence 149

Business Intelligence Data Science Descriptive Analytics Strategy 149

CIO Business Intelligence

JULY 5, 2022

What is the difference between business analytics and business intelligence? Business analytics and business intelligence (BI) serve similar purposes and are often used as interchangeable terms, but BI can be considered a subset of business analytics. This is the purview of BI.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Your Chance: Want to try a professional BI analytics software? Experience the power of Business Intelligence with our 14-days free trial!

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Domino Data Lab

JANUARY 21, 2021

Both of these considerations affect the overall return of a data science project, by speeding up the time it takes to “get to value”, or reducing costs associated with training. Cancellation code is probably a good indicator of a flight delay, but if it’s only present for 2-3% of the data, is it useful? ref: [link].

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. that gathers data from many sources. Discuss, don’t present. intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52