Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. Achieve best possible outcomes for individuals through the application of prescriptive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

IBM Big Data Hub

JULY 6, 2023

One ride-hailing transportation company uses big data analytics to predict supply and demand, so they can have drivers at the most popular locations in real time. The company also uses data science in forecasting, global intelligence, mapping, pricing and other business decisions.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. How is data analytics used in the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Domino Data Lab

JUNE 2, 2019

Note that there’s not enough room in an article to cover these presentations adequately so I’ll highlight the keynotes plus a few of my favorites. More near-term, Kahneman suggested the use of pre-mortems – also called backcasting, as a contrapositive of forecasting. The many reviews, discussions, debates, etc., That may take a while.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

FineReport

MARCH 24, 2024

This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Sales 52

CIO Business Intelligence

APRIL 9, 2025

According to ResearchGate , leaders leveraging quantitative analysis can forecast future trends, optimize operations, improve product offerings and increase customer satisfaction with greater reliability. The GenAI revolution in enterprise analytics In 2025, generative AI is profoundly reshaping the analytics landscape.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. Predictive Analytics: If x, then y (e.g., Now explaining why things happened (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

MAY 6, 2025

This is where analytics begins to proactively impact decision-making. Ive seen clients use predictive models to forecast sales pipeline health, identify fraud risk in real-time, or assess which patients are most likely to be readmitted post-discharge. Its a symptom of needing one. What will happen? What should we do?

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78