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 Reporting 52

Cloudera

MARCH 2, 2018

In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing. Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques. In many settings this is the best information available.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Sisense

SEPTEMBER 12, 2019

Originating with Gartner, this chart includes the analytic features needed for a full analytics strategy, and what our AI team believe to be the absolute future of analytics – Cognitive Analytics. . What is the market segment we should focus on? Share knowledge with customers? Add value to your solution? .

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

FineReport

APRIL 26, 2023

Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market. The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smarten

NOVEMBER 26, 2023

Without business intelligence, the enterprise does not have an objective understanding of what works, what does not work, and how, when and where to make changes to adapt to the market, its customers and its competition. This approach typically focuses on descriptive analytics based on historical data to answer the question “What happened?”

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

BizAcuity

MARCH 31, 2022

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. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: AI in Marketing. Source: Gartner Research).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Sisense

JUNE 30, 2020

Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. The simplest type, descriptive analytics , describes something that has already happened and suggests its root causes. A simple example would be the analysis of marketing campaigns.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework? Pay attention!

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Jet Global

MAY 1, 2023

Section 2: Embedded Analytics: No Longer a Want but a Need Section 3: How to be Successful with Embedded Analytics Section 4: Embedded Analytics: Build versus Buy Section 5: Evaluating an Embedded Analytics Solution Section 6: Go-to-Market Best Practices Section 7: The Future of Embedded Analytics Section 1: What are Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52