CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence vs. business analytics Business analytics and BI serve similar purposes and are often used as interchangeable terms, but BI should be considered a subset of business analytics. Business analytics, on the other hand, is predictive (what’s going to happen in the future?)

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

datapine

NOVEMBER 27, 2019

Share the essential business intelligence trends among your team! 4) Predictive And Prescriptive Analytics Tools. Business analytics of tomorrow is focused on the future and tries to answer the questions: what will happen? It’s an extension of data mining which refers only to past data.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Analytics Vidhya

APRIL 28, 2023

In this digital world, Data is the backbone of all businesses. With such large-scale data production, it is essential to have a field that focuses on deriving insights from it. What is data analytics? What tools help in data analytics? How can data analytics be applied to various industries?

Data Analytics 306

Data Analytics Analytics IT Data mining 306

FineReport

MARCH 24, 2024

Data analysts interpret data using statistical techniques, develop databases and data collection systems, and identify process improvement opportunities. They should possess technical expertise in data models, database design, and data mining, along with proficiency in reporting packages, databases, and programming languages.

Statistics 52

Statistics Data mining Visualization Reporting 52

Sisense

AUGUST 19, 2020

The use of big data analytics and cloud computing has spiked phenomenally during the last decade. Big data, analytics, cloud computing, data mining, data science — the buzzwords of the modern data and analytics industry — have taken every business and organization by storm, no matter the scale or nature of the business.

Big Data 52

Big Data Machine Learning Digital Transformation Data-driven 52