Cloudera

MARCH 2, 2018

Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques. In a next step, the broader adoption of data analysis techniques and tools has the potential to help nonprofits increase their programmatic impact as well as identify completely new ways of achieving their mission.

Data-driven 43

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 43

Alation

NOVEMBER 28, 2022

Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. 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

Sisense

SEPTEMBER 12, 2019

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. . Most companies find themselves in the bottom left corner, in the Descriptive Analytics and Diagnostic Analytics sections.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

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

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence vs. business analytics Business analytics and BI serve similar purposes and are often used as interchangeable terms, but BI should be considered a subset of business analytics. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 142

Business Intelligence Dashboards Data mining OLAP 142

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 Predictive Modeling 106

Smart Data Collective

MARCH 11, 2022

Customer service analytics assist you in tracking and comparing key performance indicators (KPIs) to service level agreements (SLAs). You can see which representatives are meeting their targets and which ones need to boost their statistics this way. Customer Experience Analytics. Finding New Revenue Sources.

Customer Analytics 112

Customer Analytics Analytics Key Performance Indicator Big Data 112

Sisense

JUNE 30, 2020

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. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Visualizations: past, present, and future.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? In statistical terms, the joint probability of event Y and condition X co-occurring, designated P(X,Y), is essentially the probability P(Y) of event Y occurring. How do predictive and prescriptive analytics fit into this statistical framework? Pay attention!

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Jet Global

MAY 1, 2023

Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. These advanced analytics become easy for users to apply in their own analyses. Statistically speaking, you increase your likelihood of success simply by putting your goals on paper.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52