Smarten

JUNE 29, 2018

This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

datapine

NOVEMBER 27, 2019

We detailed the benefits and costs of good or bad quality data in our previous article on data quality management , where you can read the five important pillars to follow. However, businesses today want to go further and predictive analytics is another trend to be closely monitored. How can we make it happen?

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Sisense

MAY 26, 2020

For more details, refer to this article. While training a model for NLP, words not present in the training data commonly appear in the test data. Because of this, predictions made using test data may not be correct. Test data then contains this sentence: Pasta is delicious. For more details, check out this article.

Unstructured Data 98

Unstructured Data Big Data Testing Machine Learning 98

datapine

MAY 17, 2021

Fundamentally, this is a term that describes the process through which businesses collect data from a variety of sources and apply it practically to generate real business value. What is a discovery model, and how do you use it in a real-world business context? What are the tools used for such a task?

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

datapine

JANUARY 6, 2022

For a more in-depth review of scales of measurement, read our article on data analysis questions. More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Typically, quantitative data is measured by visually presenting correlation tests between two or more variables of significance.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

FineReport

MARCH 24, 2024

This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. They should possess technical expertise in data models, database design, and data mining, along with proficiency in reporting packages, databases, and programming languages.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity. p: to apply autoregressive model on series.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 20, 2018

In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. The business can use this information for forecasting and planning, and to test theories and strategies. In this article, we have reviewed and explained the types of trend and pattern analysis.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Analytics 40

Analytics Forecasting Statistics Sales 40

Smarten

JUNE 27, 2018

This article presents a brief explanation of Outliers, and how this type of analysis is used. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

IT 40

IT Business Intelligence Predictive Modeling Testing 40

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. 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

Sisense

FEBRUARY 1, 2021

An enterprise software selection team should represent all aspects of business to ensure the company makes a decision that will fit the needs of all stakeholders. In this article, we’ll explore the nuances of offerings along the “PDM versus PLM” spectrum. The analytics edge in PLM functionality. Important benefits of PDM.

Management 52

Management Analytics Manufacturing Cost-Benefit 52

Smarten

JUNE 26, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. Logistic regression model output is helpful in identifying important factors that will impact the target variable and the nature of relationships between each of these factors and dependent variables.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. What is the Karl Pearson Correlation Analytical Technique? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

This article describes the Simple Linear Regression method of analysis. This method helps a business to identify the relationship between X and Y and the nature and direction of that relationship. What is Simple Linear Regression?

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 28, 2018

This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. What is Hierarchical Clustering?

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Smarten

JUNE 29, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. What is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. 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. What is the FP Growth Algorithm?

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

This article discusses the analytical technique known as Sampling and provides a brief explanation of two types of sampling analysis, and how each of these methods is applied. What is Sampling Analysis?

Analytics 40

Analytics Statistics Business Intelligence Predictive Modeling 40

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Smarten

JUNE 29, 2018

In this article, we will discuss the KNN Classification method of analysis. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

This article will focus on the Naïve Bayes Classification method of analysis. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Jet Global

OCTOBER 31, 2023

Based on performance benchmarks that tested a variety of commonly used report-types with different data sizes (up to 1 million rows), Jet Reports 23.3 has improved its reporting run time performance by more than 80% for most business cases/reports. Jet Reports 23.3 How Fast Is Jet Reports 23.3?

Reporting 52

Reporting Data Processing Dashboards Optimization 52

Smarten

JUNE 27, 2018

In this article, we will discuss the Decision Tree analysis method. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining?

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

CIO Business Intelligence

APRIL 15, 2022

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 142

Analytics Machine Learning Insurance Testing 142

Depict Data Studio

SEPTEMBER 17, 2019

You’ll also learn about 508 compliance, like how to test your visuals for sufficient foreground/background contrast, colorblindness legibility, and grayscale legibility using accessibility checkers. . Text , you’ll learn the basics like writing titles, subtitles, and annotations that encapsulate your key finding. Thank you Ann!”

Visualization 40

Visualization Consulting Dashboards Reporting 40

IBM Big Data Hub

JULY 7, 2023

Making the most of the skills, creativity and insights of knowledge workers requires thoughtful business management, from integrating company data to deploying well-documented processes. This article looks at how emerging tools can help. What is a knowledge worker? The challenge for many may simply be time.

Cost-Benefit 64

Cost-Benefit Consulting Management Data-driven 64