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

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smarten

JUNE 26, 2018

This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? It is used to determine whether there is a statistically significant association between the two categorical variables. Use Case – 1.

Testing 40

Testing Statistics IT Business Intelligence 40

Smart Data Collective

OCTOBER 8, 2023

This article delves into the profound impact data analytics can have on fast food legal cases. It is an interdisciplinary field, combining computer science, statistics , mathematics, and business intelligence. Data Analysis The cleaned data is then analyzed using various statistical techniques and algorithms.

Data Analytics 95

Data Analytics Analytics Statistics Data Collection 95

FineReport

JUNE 29, 2023

In this article, we will explore the concept of IoT dashboards, delve into their benefits, examine real-life examples, and highlight the essential features that make them indispensable in the IoT landscape. Data Collection The components required for your specific case may vary depending on your goals and the data to be visualized.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 62

Machine Learning Data Science Statistics Deep Learning 62

Octopai

MAY 2, 2022

Your dashboards, charts, visualizations… they’re all products. . Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Issue detected?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

The Unofficial Google Data Science Blog

JANUARY 16, 2018

by SANGHO YOON In this article, we discuss an approach to the design of experiments in a network. We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. At Google, A/B testing plays a key role in better understanding our users and products.

Testing 58

Testing Experimentation Measurement Modeling 58

Ontotext

JUNE 22, 2023

Recent statistics shed light on the realities in the world of current drug development: out of about 10,000 compounds that undergo clinical research, only 1 emerges successfully as an approved drug. The current process involves costly wet lab experiments, which are often performed multiple times to achieve statistically significant results.

Metrics 52

Metrics Statistics Visualization Metadata 52

Smarten

MAY 31, 2022

In this article, we discuss three factors to consider when selecting a predictive analytics solution to help business users make the transition to Citizen Data Scientists and become more data literate and productive. Hypothesis Testing. Descriptive Statistics. Analyze the Model with Visualization and Interpretation.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

O'Reilly on Data

DECEMBER 12, 2019

This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice. In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

FineReport

DECEMBER 9, 2021

This is a short project that validates the technical concept by proposing many simplified functions, verifying hypotheses, testing the functionality of the product, and ensuring that the concept can be implemented or vice versa. BI visualization to analyze cost(by FineReport). Free Download. Business intelligence strategy example.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. We will go over them in the third part of this article. 2 – Data profiling. 3 – Defining data quality.

Data Quality 241

Data Quality Metrics Data-driven Management 241

FineReport

DECEMBER 11, 2019

The article is interspersed with rich columns and pictures, introduces the basic business principles in a simple way with real cases from many companies and entrepreneurs around the world. – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. By Michael Milton.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. The doctor uploads the patient’s medical history and recent test results to an AGI-powered medical analysis system. Example : A patient visits a doctor with concerning symptoms.

Cost-Benefit 98

Cost-Benefit Modeling Manufacturing Interactive 98

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

datapine

MARCH 22, 2019

Although there are various KPI examples we could analyze, we will focus on these 3: Net Promoter Score , Customer Effort Score , and Customer Satisfaction Score (click on the link to jump directly to the relevant part within this article). Without further ado, let’s get going. Exploring Customer Experience Analytics.

Metrics 134

Metrics Dashboards Measurement Interactive 134

Occam's Razor

AUGUST 22, 2011

" + Strategic Analysis Articles. Tactical Analysis Articles. Blogging Experience Articles. + Book Articles. Misc Articles. In each section the listing is from the latest article to the earliest. " Strategic Analysis Articles. Six Data Visualizations That Rock! Be data driven?"

KPI 124

KPI Metrics Measurement ROI 124

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. What is the Karl Pearson Correlation Analytical Technique?

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

This article describes the Simple Linear Regression method of analysis. Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). What is Simple Linear Regression?

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

Decision Management Solutions

JUNE 24, 2021

My respected colleague Neil Raden addresses this very issue in his recent article in Diginomica, “ Trustworthy AI versus ethical AI—what’s the difference, and why does it matter? ” Finally, who tested the implementation of that decision model to ensure it matched the design? Who selected the data used to train the algorithm? •

Machine Learning 52

Machine Learning Testing Data-driven Modeling 52

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). What is Multiple Linear Regression Analysis?

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. 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?’ What is ARIMAX Forecasting?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 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 Spearman’s Rank Correlation and how it is used for enterprise analysis. Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. 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?’ What is ARIMA Forecasting?

Forecasting 40

Forecasting Enterprise IT Sales 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. Use Case – 2.

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? A random sample from each of these subgroups is taken in proportion to the subgroup size relative to the population size.

Analytics 40

Analytics Statistics Business Intelligence Predictive Modeling 40

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. In this article, take a deep dive into data science and how Domino’s Enterprise MLOps platform allows you to scale data science in your business. What is Data Science and How is it Used? What are Data Scientists? The Data Science Toolkit.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Sisense

SEPTEMBER 25, 2020

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. No matter your skill, career level, or title, the ability to analyze, organize, and visualize data are vital skills in our world of quickly growing and ever-changing data. Statistics and programming go hand in hand.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

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. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Alation

SEPTEMBER 28, 2022

However, there is a lot more to know about DataOps, as it has its own definition, principles, benefits, and applications in real-life companies today – which we will cover in this article! Automated testing to ensure data quality. What Is DataOps? Easy-to-experiment data development environment. How Does DataOps Provide Value?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

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. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 26, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 27, 2018

This article provides a brief explanation of the SVM Classification method of analytics. 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 Analytics 40

Business Analytics Analytics IT Business Intelligence 40

The Unofficial Google Data Science Blog

SEPTEMBER 23, 2015

by KAY BRODERSEN For the first time in the history of statistics, recent innovations in big data might allow us to estimate fine-grained causal effects, automatically and at scale. Analyses might begin by exploring, visualizing, correlating. Millions of queries have been processed by this system while you've been reading this article.

Advertising 47

Advertising Statistics Big Data Modeling 47

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