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 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

NOVEMBER 14, 2022

They emphasize access to and manipulation of large databases of structured data, often a time-series of internal company data and sometimes external data. Commonly used models include: Statistical models. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers. Model-driven DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

BizAcuity

OCTOBER 21, 2019

Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. – into structured data to develop actionable managerial insights to enhance their operations. . . The way forward.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). NLG is a software process that transforms structured data into human-language content. They cannot process language inputs generally. 2) Roomba (vacuums your house).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

BizAcuity

OCTOBER 21, 2019

Text Analytics – is a process of turning unstructured text – available in the form of tweets, comments, reviews, etc. into structured data to develop actionable managerial insights to enhance their operations. Text mining is also referred to as text analytics, is the process of deriving high -quality information from text.

Analytics 40

Analytics Unstructured Data Data mining Structured Data 40

Sisense

JUNE 30, 2020

Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats. Data visualization is used to make the consuming, interpreting, and understanding data as simple as possible, and to make it easier to derive insights from data.

Visualization 93

Visualization Analytics Dashboards Data-driven 93