CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

FineReport

JULY 28, 2021

financial dashboard (by FineReport). It can be defined as a combination of statistics, math, and computer science techniques employed to discover the patterns behind data and thus help the decision-making process. There are four primary types of data analytics: descriptive, diagnostic, predictive, and prescriptive analytics. .

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Birst BI

OCTOBER 30, 2018

To generate accurate probabilities of future behavior, predictive analytics combine historical data from any number of applications with statistical algorithms. The integration of historical data and predictive analytics is key to operationalizing predictive capabilities in large financial services organizations.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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. Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52