CIO Business Intelligence

DECEMBER 11, 2024

Pillar #3: Analytics and reporting This pillar represents the most traditional aspect of data management, encompassing both descriptive and diagnostic analytics capabilities. This issue will be exacerbated by the future use of AI agents making decisions on behalf of companies based on data.

Management 111

Management Data Governance Data Science Reporting 111

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. It is frequently used for risk analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Domino Data Lab

MARCH 3, 2021

These could be things such as the total volume of opportunities being processed into a sales queue, or alternatively, the number of potential health and safety risks being recorded in an occupational safety platform based on recommendations and prompts.

Metrics 93

Metrics Modeling Data Science Sales 93

BizAcuity

MARCH 31, 2022

85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: More use-cases are being tried, tested and built everyday, the innovation in this field will not cease for the next few years. Source: Gartner Research). Source: PwC). AI Adoption and Data Strategy. Applications of AI.

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. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Sales 52

Jet Global

MAY 1, 2023

Positioning Embedded Analytics for Each Executive Here are some tips on understanding executives’ priorities and getting them on board with the project. Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. It will help to eliminate some of the development risks.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52