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. Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics.

Data Science 78

Data Science Data Analytics Prescriptive Analytics Analytics 78

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is Business Intelligence And Analytics?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. Each dataset has properties that warrant producing specific statistics or charts. There is no clear end state. ref: [link].

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Sisense

JUNE 30, 2020

Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. The primary objective of data visualization is to clearly communicate what the data says, help explain trends and statistics, and show patterns that would otherwise be impossible to see. Visualizations: past, present, and future.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Alation

NOVEMBER 28, 2022

Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. Subscribe to Alation's Blog. Or they don’t have the technical skill to extract, cleanse, or transform data they need. Spreadsheets are dark matter. However, time spent in spreadsheets is often ineffective.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

Cloudera

MARCH 2, 2018

Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques. The post Disrupt and Innovate in a Data-Driven World appeared first on Cloudera Blog.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Sisense

SEPTEMBER 12, 2019

And every business – regardless of the industry, product, or service – should have a data analytics tool driving their business. A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. .

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81