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. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? Data analytics and data science are closely related.

Data Analytics 124

Data Analytics Diagnostic Analytics Management Analytics 124

Smart Data Collective

DECEMBER 19, 2021

Likewise, Python is a popular name in the data preprocessing world because of its ability to process the functionalities in different ways. Besides, libraries like Pandas and Numpy make Python one of the most efficient technologies available in the market. Data Preprocessing is a Requirement. Python Makes Decision Making Simple.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

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

Alation

NOVEMBER 28, 2022

Or they don’t have the technical skill to extract, cleanse, or transform data they need. Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. 78 million data workers are advanced spreadsheet users. Spreadsheets are dark matter.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

CIO Business Intelligence

JANUARY 20, 2023

Trusted and governed data: Modern BI platforms can combine internal databases with external data sources into a single data warehouse, allowing departments across an organization to access the same data at one time. BI aims to deliver straightforward snapshots of the current state of affairs to business managers.

Business Intelligence 137

Business Intelligence Dashboards Data mining OLAP 137

Domino Data Lab

JANUARY 21, 2021

This blog explores the challenges associated with doing such work manually, discusses the benefits of using Pandas Profiling software to automate and standardize the process, and touches on the limitations of such tools in their ability to completely subsume the core tasks required of data science professionals and statistical researchers.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106