CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics? Data analytics methods and techniques.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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.”. What are the benefits of business analytics? Predictive analytics: What is likely to happen in the future? Business analytics tools.

Business Analytics 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

IBM Big Data Hub

SEPTEMBER 19, 2023

It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions. They may also use tools such as Excel to sort, calculate and visualize data.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

FineReport

MARCH 24, 2024

These professionals collaborate with IT teams, management, or data scientists to align analytical efforts with organizational objectives across various industries. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios.

Statistics 52

Statistics Data mining Visualization Reporting 52

Sisense

SEPTEMBER 12, 2019

Most companies find themselves in the bottom left corner, in the Descriptive Analytics and Diagnostic Analytics sections. You likely already have some form of scheduled reports, are drilling down into your data, discovering what is in your data, and may even be visualizing to some extent.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

BizAcuity

MARCH 31, 2022

Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management. AI comes handy for managing inventory, manufacturing, production and marketing. AI in Supply chain and Logistics.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Birst BI

FEBRUARY 13, 2018

The user can’t be assumed to be an internal user who can be trained, so intuitive visualization and interfaces are a must.”. The result is a consistent enterprise view that enables users with self-service analytics through world-class dashboards, drill-down reporting, visual discovery, mobile tools, and predictive analytics.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66