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

Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

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

Sisense

SEPTEMBER 12, 2019

Every business needs a business intelligence strategy to take it forward. . As the Global Team Lead of BI Consultants at Sisense, I can say that the projects I’ve worked on where a BI strategy was involved, were more successful than projects without a strategy. But what is a BI strategy in today’s world?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

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. A fundamental differentiation factor is in the method each of them uses as a base.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

BizAcuity

MARCH 31, 2022

AI Adoption and Data Strategy. Lack of a solid data strategy. In order to adopt AI solutions for your business, the best way forward is to first ensure that you have a strong data strategy in place. Data strategy allows you to build a roadmap to adopt AI. Worth a read if you are brainstorming on AI strategy.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Decision Management Solutions

AUGUST 18, 2020

The paper has some great discussion of this critical point to which I would add a couple of observations from our work with clients around the world: Use decision models to understand your decisioning problem and find the right technologies to automate it. Build a decision model using the Decision Model and Notation standard first.

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88