CIO Business Intelligence

JULY 5, 2022

Research firm Gartner defines business analytics as “solutions used to build analysis models and simulations to create scenarios, understand realities, and predict future states.”. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

JANUARY 20, 2023

But the benefits of BI extend beyond business decision-making, according to data visualization vendor Tableau , including the following: Data-driven business decisions: The ability to drive business decisions with data is the central benefit of BI.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Birst BI

OCTOBER 30, 2018

Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.”

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

datapine

MARCH 25, 2022

While BI tells you what has happened in the past and what is happening now (descriptive analytics), BA tells you what will happen in the future (predictive analytics). Descriptive analytics : As its name suggests, this analysis method is used to describe and summarize the main characteristics found on a dataset.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Grooper

AUGUST 19, 2019

For simple reporting projects, I might spend 8 hours getting the right data and then just a couple of hours producing the needed visualizations. What are the metrics that business wants to see and why it is valuable? We plot visualizations and look at the data to understand how occurrences of different categories of data columns.

Machine Learning 40

Machine Learning Metrics Descriptive Analytics Testing 40

Business Over Broadway

MARCH 13, 2019

IBM Watson Studio is an end-to-end analytics solution to help you gain insights from your data. Watson Studio accomplished this feat by providing a platform to help you prepare data and build models on your own desktop using their easy-to-use visual drag and drop tools. I added the three loyalty metrics to the model.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78