Smart Data Collective

NOVEMBER 18, 2020

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?

Data Mining 359

Data Mining Big Data Artificial Intelligence Data Warehouse 359

Smart Data Collective

AUGUST 24, 2021

Before you decide on just one or two, you should definitely do big research. Data analytics technology can make it easier to choose the best cryptocurrency for long-term gains. This is one of the easiest ways to apply data analytics in your cryptocurrency investing endeavors. But what exactly should you look at?

Data Mining 336

Data Mining Data Analytics Data Analytics Predictive Analytics 336

Data Pine

MARCH 25, 2022

It seems clear that there isn’t one standard “correct” definition of the differences between the two terms. The most straightforward and useful difference between business intelligence and data analytics boils down to two factors: What direction in time are we facing; the past or the future?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Data Pine

MAY 14, 2019

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. A top data science book for anyone wrestling with Python. Hands down one of the best books for data science.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Astera

AUGUST 5, 2024

Moreover, business data analytics enables companies to personalize marketing strategies and refine product offerings based on customer preferences, fostering stronger customer relationships and loyalty. There are many types of business analytics. Business analytics aims to answer the question , “Why is this happening?”

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

The BAWorld

OCTOBER 17, 2024

Mark my words and you will have a clear understanding of data warehouse, by the end of this article! Data warehouses are designed in such a way that they can handle raw, structured or unstructured data like videos, image files from multiple sources such as Point-of-Sales transactions, Marketing, CRM, IoT and more.

Data Warehouse 40

Data Warehouse Data Analytics Data Analytics Data Mining 40