Smarten

JUNE 29, 2018

The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. Business Problem: A Grocery store sales manager wants to know whether customer segment A spends more on groceries than customer segment B.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 29, 2018

Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. Use Case – 2.

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 29, 2018

At 95% confidence level (5% chance of error): As p-value = 0.041 which is less than 0.05, there is a statistically significant difference between means of pre and post sample values. How is the Paired Sample T Test Beneficial to Business Analysis? Marketing – Have sales increased following a particular campaign?

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 29, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. For example, sale of ice cream and the sale of cold drinks are related to weather conditions.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 26, 2018

Business Problem: A pharmaceutical company wants to predict the sales of a drug for the next two months, based on drug sales data from the past 12 months. Business Benefit: The business can make use of these forecasts for better planning of drug production and accuracy of sales targets. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

Birst BI

OCTOBER 30, 2018

This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Today, the most common usage of business intelligence is for the production of descriptive analytics. . The foundation of predictive analytics is based on probabilities. Accounts in use.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Smarten

JUNE 25, 2018

Business Problem: Discount Analysis and Customer Retention will help the organization to target discounts to specific customers and the business will need to visualize ‘segments of sales group based on discount behavior’ and ‘customer churn to identify segments of customers on the verge of leaving’.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

ARIMAX provides forecasted values of the target variables for user-specified time periods to clearly illustrate results for planning, production, sales and other factors. About Smarten.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JULY 10, 2018

Use Case(s): Predicting Loan Default, Predicting Success of Medical Treatment and more. Multiple Linear Regression: What is Multiple Linear Regression and How Can it be Helpful for Business Analysis? Use Case(s): Impact of Product Pricing, Promotion on Sales, Impact of rainfall, humidity on crop yield an more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JUNE 26, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. Business Benefit: The darker segments reveal the ideal methods of product bundling and placement to increase cross-sales.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

Business Problem: A retail store manager wants to conduct Market Basket analysis to come up with a better strategy of product placement and product bundling. Each customer is represented as a transaction, containing the ordered set of products, and which products are likely to be purchased simultaneously/sequentially can then be predicted.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. 2019 was a particularly major year for the business intelligence industry. Source: Business Application Research Center *.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Smarten

DECEMBER 3, 2023

Perhaps your business is considering an augmented analytics solution, or your enterprise already has some version of business intelligence or analytics and it wishes to upgrade or transition to a more beneficial solution. What is Augmented Analytics and How Has it Evolved?

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Smarten

JUNE 21, 2018

Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data. Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., CRM, ERP, EHR/EMR) or portals (e.g.,

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data. For example, a pipeline might ingest customer data, clean and transform it, train a predictive model, and deploy the model for real-time predictions.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52