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’s the difference between Business Analytics and Business Intelligence?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

SEPTEMBER 19, 2023

The types of data analytics Predictive analytics: Predictive analytics helps to identify trends, correlations and causation within one or more datasets. For example, retailers can predict which stores are most likely to sell out of a particular kind of product.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

datapine

AUGUST 14, 2019

There are also numerous business intelligence examples that illustrate what kind of value it can bring to the business bottom line. The example above shows us a visual of the drag and drop interface created in datapine for a 6 months forecast based on past and current data. Source: mathworks.com.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Smarten

JUNE 20, 2018

The business can use this information for forecasting and planning, and to test theories and strategies. If a business wishes to produce clear, accurate results, it must choose the algorithm and technique that is the most appropriate for a particular type of data and analysis.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

JULY 10, 2018

Use Case(s): Weather Forecasting, Fraud Analysis and more. Frequent Pattern Mining (Association): What is Frequent Pattern Mining (Association) and How Does it Support Business Analysis? ARIMAX Forecasting: What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JUNE 29, 2018

Weather Forecasting – Based on temperature, humidity, pressure etc., an organization can predict if it will be rainy/sunny/windy tomorrow. a business can predict the likelihood of fraud. It is useful for making predictions and forecasting data based on historical results. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

JUNE 29, 2018

Multiple linear regression models are useful in helping an enterprise to consider the impact of multiple independent predictors and variables on a dependent variable, and can be beneficial for forecasting and predicting results. About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

NOVEMBER 3, 2017

The world of business analytics has changed dramatically in the past few years. If your business is looking to upgrade BI tools or to begin implementing an analytics solution, the solution must be user friendly for business users.

Analytics 40

Analytics Visualization Experimentation Cost-Benefit 40

Smarten

JUNE 29, 2018

Business Benefit: Given the health and body profile of a patient and the recent treatments and drugs prescribed for the patient, the doctor can predict the probability and make recommendations on changes in treatment/drugs. About Smarten.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. They are sentinel, precursor, and cognitive analytics.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

Then, calculations will be run and come back to you with growth/trends/forecast, value driver, key segments correlations, anomalies, and what-if analysis. Share the essential business intelligence trends among your team! 4) Predictive And Prescriptive Analytics Tools. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. What is the Holt-Winters Forecasting Algorithm? The Holt-Winters algorithm is used for forecasting and It is a time-series forecasting method.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. By integrating predictive models into data pipelines, organizations can benefit from actionable insights that drive strategic planning.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

AUGUST 13, 2024

Here’s how AI is transforming production and supply chain management: Supply Chain Optimization: AI and data analytics optimize transportation routes, warehouse locations, and inventory levels, ensuring a smoother supply chain.

Manufacturing 52

Manufacturing Reporting Optimization Cost-Benefit 52