CIO Business Intelligence

JUNE 7, 2022

What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI). Diagnostic analytics uses data (often generated via descriptive analytics) to discover the factors or reasons for past performance. Data analytics and data science are closely related.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

IBM Big Data Hub

SEPTEMBER 19, 2023

Data scientists will often perform data analysis tasks to understand a dataset or evaluate outcomes. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Birst BI

FEBRUARY 13, 2018

Birst achieves Networked BI through a modern multi-tenant architecture that aligns back-end enterprise data with line-of-business or local data. Birst’s patented Automated Data Refinement extracts data from any source (data stores, applications, warehouses, big data, and unstructured external sources) into a unified semantic layer.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

BizAcuity

MARCH 31, 2022

of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. By 2025, AI will be the top category driving infrastructure decisions, due to the maturation of the AI market, resulting in a tenfold growth in compute requirements. AI in Marketing.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

DECEMBER 11, 2024

Poor-quality data is as detrimental as a pipeline outage, and perhaps more, as it can lead to bad decisions and provide harmful information to customers. The most challenging aspect is setting the thresholds for data quality issue alerts, as real-world data is too dynamic for static thresholds to be effective.

Management 111

Management Data Governance Data Science Reporting 111

Rocket-Powered Data Science

OCTOBER 6, 2023

There are other dimensions of analytics that tend to focus on hindsight for business reporting and causal analysis – these are descriptive and diagnostic analytics, respectively, which are primarily reactive applications, mostly explanatory and investigatory, not necessarily actionable.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157