Descriptive Analytics, Predictive Analytics and Statistics

Descriptive Analytics

Predictive Analytics

Statistics

Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

FEBRUARY 6, 2025

Even basic predictive modeling can be done with lightweight machine learning in Python or R. In life sciences, simple statistical software can analyze patient data. These traditional tools are often more than sufficient for addressing the bread-and-butter analytics needs of most businesses. You get the picture.

Unstructured Data

Unstructured Data Manufacturing Data Governance Sales

What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics

Data Analytics Diagnostic Analytics Management Analytics

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How to Achieve High-Accuracy Results When Using LLMs

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What Is The Difference Between Business Intelligence And Analytics?

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

Business Intelligence Analytics Statistics Dashboards

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How to Achieve High-Accuracy Results When Using LLMs

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What is the difference between business analytics and business intelligence? This is the purview of BI.

Business Analytics

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics

Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

OCTOBER 30, 2018

Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.”

Predictive Analytics

Predictive Analytics Descriptive Analytics Analytics Metrics

Data science vs data analytics: Unpacking the differences

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

Data Science Data Analytics Prescriptive Analytics Analytics

Using IBM Watson to Answer Two Important Questions about your Customers

Business Over Broadway

MARCH 13, 2019

Next, we can explore our data by calculating some descriptive statistics for our measures. Simply add the Statistics Node to the window and connect it to the Auto Data Prep Node. To view the statistics, click on the Statistics Node and hit run. The level of satisfaction is indexed by a summary statistic.

Statistics

Statistics Measurement Descriptive Analytics Machine Learning

5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

MARCH 11, 2022

Data analytics can assist you in figuring out why people abandon your brand or prefer alternative products instead. Predictive analytics, which analyses historical activities to uncover trends and forecast a specific event, can also predict if a customer is ready to churn or defect. Customer Experience Analytics.

Customer Analytics

Customer Analytics Analytics Key Performance Indicator Big Data

Data Visualization and Visual Analytics: Seeing the World of Data

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

Visualization Analytics Dashboards Data-driven

Five Steps for Building a Successful BI Strategy

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

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics

Disrupt and Innovate in a Data-Driven World

Cloudera

MARCH 2, 2018

Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

Data-driven

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics

Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics

Statistics Data mining Visualization Reporting

Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. How do predictive and prescriptive analytics fit into this statistical framework? Or more simply: given Y, find X.

Business Analytics

Business Analytics Prescriptive Analytics Analytics Statistics

What Is Embedded Analytics?

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

Analytics Cost-Benefit Visualization Dashboards

Data Leaders Brief

Beyond the hype: Do you really need an LLM for your data?

What is data analytics? Analyzing and managing data for decisions

Webinars

Trending Sources

What Is The Difference Between Business Intelligence And Analytics?

Webinars

What is business analytics? Using data to improve business outcomes

Seven Steps to Success for Predictive Analytics in Financial Services

Data science vs data analytics: Unpacking the differences

Using IBM Watson to Answer Two Important Questions about your Customers

5 Sources of Data for Customer Analytics and Their Benefits

Data Visualization and Visual Analytics: Seeing the World of Data

Five Steps for Building a Successful BI Strategy

Disrupt and Innovate in a Data-Driven World

Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

Three Types of Actionable Business Analytics Not Called Predictive or Prescriptive

What Is Embedded Analytics?

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