CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI). Data analytics examples.

Data Analytics 131

Data Analytics Diagnostic Analytics Management Analytics 131

IBM Big Data Hub

JULY 27, 2022

Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following: Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications and performance-monitoring tools. Predictive analytics to show what will happen next.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

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

CIO Business Intelligence

OCTOBER 10, 2022

This enabled the company to generate simulations, planning, and reporting solutions based on SAP Analytics Cloud. Shifting descriptive analytics to predictive analytics is a huge undertaking for most companies in their digital transformation. Save significant time with reporting automation .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

BizAcuity

MARCH 31, 2022

The healthcare industry stores ridiculously high amounts of big data- both structured and unstructured for research & development, population health management, technological innovations, patient health history and their medical reports management. Artificial Intelligence Analytics. AI in Ecommerce.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Sisense

JULY 23, 2021

Descriptive analytics also help them understand the number of athletes and workers required to support that specific competition or sport. This analytics engine will process both structured and unstructured data. “We “We get access, post-Games, to the ticket data to analyze any patterns in terms of incidents and responses.”.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105