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. What is the point of those obvious statistical inferences? How does that work in practice?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Prescriptive analytics: Prescriptive analytics predicts likely outcomes and makes decision recommendations.

Data Science 77

Data Science Data Analytics Prescriptive Analytics Analytics 77

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

FineReport

JULY 28, 2021

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. What is Data Analytics? 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

Rocket-Powered Data Science

MARCH 10, 2020

The book is awesome, an absolute must-have reference volume, and it is free (for now, downloadable from Neo4j ). From the marketing campaign manager’s perspective, the standard relational model would fail to identify the attribution, since B did not see the campaign and A did not respond to the campaign. Graph Algorithms book.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Sisense

AUGUST 11, 2019

Typically, this involves using statistical analysis and predictive modeling to establish trends, figuring out why things are happening, and making an educated guess about how things will pan out in the future. Business Analytics is One Part of Business Intelligence. What About “Business Intelligence”? Choosing the Right Tech.

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75