CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

FineReport

JULY 28, 2021

Data science generally refers to all the knowledge, techniques, and methods used for data analysis, while data analytics is the manner of analyzing massive data. There are four primary types of data analytics: descriptive, diagnostic, predictive, and prescriptive analytics. . Insurance Dashboard (by FineReport).

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Birst BI

OCTOBER 30, 2018

The output of these algorithms, when used in financial services, can be anything from a customer behavior score to a prediction of future trading trends, to flagging a fraudulent insurance claim. Richard is a veteran of the BI industry, having worked with analytics and data warehousing solutions from Business Objects, SAS, Teradata and SAP.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Domino Data Lab

JUNE 2, 2019

To do this, first review quantitative decisions being made by staff – for example, settlement prices quoted by insurance claims adjusters. The most poignant for me was a simple approach for measuring noise within an organization. Measure how these decisions vary across your population.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Alation

AUGUST 26, 2021

Augmented Analytics. DI empowers analysts to apply augmented analytics to applications, supporting predictive and prescriptive analytics use cases. DI sorts wheat from chaff, spotlighting the most trusted assets for wider use, and speeding up operational efficiencies in the process. Why reinvent the wheel?

Metadata 64

Metadata Data Governance Dashboards Software 64

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52