Analytics Vidhya

JUNE 14, 2024

Introduction This article explores ordinal data, a type of data with values that have a meaningful order but unknown magnitude between consecutive values.

Statistics 304

Statistics Measurement Analytics IT 304

O'Reilly on Data

NOVEMBER 19, 2024

For example, articles about former US vice president Al Gore might not discuss actor Tommy Lee Jones, although the two were roommates at Harvard and started a country band together. presented the TRACE framework for measuring results, which showed how GraphRAG achieves an average performance improvement of up to 14.03%.

Unstructured Data 318

Unstructured Data Structured Data Statistics Modeling 318

Analytics Vidhya

APRIL 22, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction What is the first measure coming into your mind. The post Confusion Matrix: Detailed intuition and trick to learn appeared first on Analytics Vidhya.

Measurement 329

Measurement Data Science Publishing Analytics 329

datapine

APRIL 16, 2019

By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward. Qualitative data analysis is based on observation rather than measurement. Of course, this sounds incredible in theory.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

O'Reilly on Data

JUNE 18, 2019

A recent O’Reilly survey found that those with mature AI practices (as measured by how long they’ve had models in production) cited “Lack of data or data quality issues” as the main bottleneck holding back further adoption of AI technologies. See this article on data integration status for details.

Machine Learning 279

Machine Learning Data Quality Statistics Modeling 279

Analytics Vidhya

MAY 2, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. “Skewness essentially measures the symmetry of the distribution, while kurtosis. The post Shape of data: Skewness and Kurtosis appeared first on Analytics Vidhya.

Measurement 248

Measurement Data Science Publishing Analytics 248

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. Classification parity means that one or more of the standard performance measures (e.g.,

Machine Learning 277

Machine Learning Risk Management Statistics 277

Occam's Razor

SEPTEMBER 19, 2011

This: You understand all the environmental variables currently in play, you carefully choose more than one group of "like type" subjects, you expose them to a different mix of media, measure differences in outcomes, prove / disprove your hypothesis (DO FACEBOOK NOW!!!), Measuring Incrementality: Controlled Experiments to the Rescue!

Measurement 120

Measurement Advertising Testing Marketing 120

Rocket-Powered Data Science

MARCH 19, 2021

This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2 Another dimension to this story, of course, is the Future of Work discussion, including creation of new job titles and roles, and the demise of older job titles and roles. trillion by 2030.”.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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. ARIMA techniques are complex and drawing conclusions from the results may not be as straightforward as for more basic statistical analysis approaches.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Andrew White

JUNE 9, 2019

The article was titled, A Dearth of Data Helped Hong Kong Succeed , and it was written by Jairaj Devadiga. The article explains an odd fact that Hong Kong’s economic policy management during a period of high growth was correlated with a lack of central (e.g. I found the article most stimulating for a number of reasons.

Measurement 74

Measurement Metrics Marketing Data-driven 74

datapine

SEPTEMBER 6, 2022

That said, measuring the success of your those efforts is another great part of the job, and on many occasions, it can prove to be overwhelming as you need to use multiple tools to gather the data. While this indicator might be subjective, it is a good reference to evaluate how easy to read your articles are. click to enlarge**.

Dashboards 179

Dashboards Reporting Metrics ROI 179

Smarten

NOVEMBER 26, 2024

The business can harness the power of statistics and machine learning to uncover those crucial nuggets of information that drive effective decision, and to improve the overall quality of data. It shows the quality of the dataset and number of columns with listing down the missing values, duplicates, and measure and dimension columns.

Data Quality 64

Data Quality Machine Learning Predictive Modeling Metadata 64

datapine

SEPTEMBER 29, 2022

5) How Do You Measure Data Quality? 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.

Data Quality 241

Data Quality Metrics Data-driven Management 241

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

Data Science 133

Data Science Statistics Deep Learning Machine Learning 133

Smart Data Collective

FEBRUARY 14, 2023

Of course, this statistic predates the pandemic. RetailDive recently published an article titled Furniture retailer embraces digital marketing and measures its impact with analytics , which underscores the benefits that analytics offers. The article cites a furniture store owner that discovered 16.8%

Data Analytics 143

Data Analytics Analytics Advertising Sales 143

Peter James Thomas

APRIL 9, 2019

This increase was driven in part by the launch of my new Maths & Science section , articles from which claimed no fewer than 6 slots in the 2018 top 10 articles, when measured by hits [1]. This is my selection of the articles that I enjoyed writing most, which does not always overlap with the most popular ones.

Data-driven 49

Data-driven Statistics Data Science Big Data 49

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. Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome.

Machine Learning 282

Machine Learning Modeling Testing Risk Management 282

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). They provide more like an FAQ (Frequently Asked Questions) type of an interaction. Industry 4.0 3) Warehouse / Logistics. (4)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

The Data Visualisation Catalogue

APRIL 26, 2024

This region provides a robust measure of the spread of the central 50% of the curves. Median Curve: The median curve represents the most central observation and serves as a robust statistic for centrality. This allows for the definition of functional quantiles and the identification of central and outlying observations.

Snapshot 104

Snapshot Statistics Visualization Measurement 104

Smart Data Collective

JANUARY 6, 2021

In this article, we are going to look into the two advanced technologies – IoT and AI which have brought some tremendous changes to the sports sector. But the performance data used in recruitment goes beyond statistics like goals, home runs, and passes. Performance and training analysis. AI is Invaluable to the Field of Sports.

Internet of Things 139

Internet of Things IoT Broadcasting Big Data 139

Smart Data Collective

SEPTEMBER 19, 2022

Statistics show that 93% of customers will offer repeat business when they encounter a positive customer experience. This article focuses on big data in financial industry, its role, and how it helps fintech companies protect their customers and improve the customer experience. The Role Of Big Data In Fintech.

Big Data 145

Big Data ROI Measurement Machine Learning 145

Smart Data Collective

NOVEMBER 26, 2021

Data analytics refers to the systematic computational analysis of statistics or data. In this article, you’ll learn the different ways data analytics sets a new standard for revenue marketing. With it, you can measure your key performance indicators quickly and more objectively than traditional methods.

Marketing 131

Marketing Data Analytics Key Performance Indicator Analytics 131

Smart Data Collective

MARCH 5, 2021

Learning from visitor behaviors and using statistics requires a balance between understanding data and understanding marketing. In that sense, a bounce is measured as a failure. However, if someone visits your site and reads a full article or signs up for your newsletter, that’s not really a failure at all.

Metrics 142

Metrics Data Analytics Analytics Advertising 142

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. It refers to datasets too large for normal statistical methods. In this article, we’ll explore the importance of data gathering for businesses and how residential proxies can help improve the process.

Data mining 109

Data mining Big Data Data-driven Measurement 109

Smart Data Collective

DECEMBER 17, 2021

This article will focus on the different stages of this process: Types of Data, Data Collection, and Data Analysis. The first step is setting the goals and defining what success metrics you want to measure. But, the first step in any good process is to identify the goals and define what success metrics you want to measure.

Marketing Analytics 122

Marketing Analytics Marketing Data-driven Analytics 122

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 125

Data Analytics Analytics Statistics Data Collection 125

datapine

MARCH 22, 2019

Moreover, measuring these metrics will also avert potential customer frustrations, monitor customer satisfaction levels, and give you a more concrete, informed idea of how your customer-facing team is doing. How To Measure Customer Satisfaction? How To Measure Customer Satisfaction? Without further ado, let’s get going.

Metrics 134

Metrics Dashboards Measurement Interactive 134

O'Reilly on Data

OCTOBER 11, 2022

How can you use it to analyze your current situation, and measure the results of any actions you take? Without them, this article wouldn’t have been possible. If you take some action, what changes? Most actions have multiple effects. Decide where data fits in. What data do you have? All three have upcoming books from O’Reilly.

Data Integration 353

Data Integration Insurance Dashboards Data-driven 353

datapine

NOVEMBER 15, 2022

In this article, we will go deeper into the definition of product KPIs: what they are, who needs them, and why; then, we will go over the steps to find the best product success metrics; and finally, we will provide some useful examples. They can evaluate architectural measures, quality measures, software complexity, or functional size.

Metrics 141

Metrics KPI Measurement Dashboards 141

Cloudera

DECEMBER 3, 2021

This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. As discussed in this article , model design can also be a source of bias too. Uncertainty is a measure of our confidence in the predictions made by a system. System Design. Model Drift.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102

Smart Data Collective

FEBRUARY 23, 2023

This article will explore data mining and how it can help online brands with brand optimization. It involves using statistical algorithms and machine learning techniques to identify trends and patterns in the data that would otherwise be difficult to detect. What is Data Mining?

Data mining 145

Data mining Optimization Technology Marketing 145

datapine

NOVEMBER 13, 2019

Fortunately, we live in a digital age rife with statistics, data, and insights that give us the power to spot potential issues and inefficiencies within the business. With so many areas to consider, deciding which KPIs to focus on while defining metric measurement periods can prove to be a challenge at the initial stages.

Reporting 158

Reporting KPI Cost-Benefit Dashboards 158

Perceptual Edge

APRIL 9, 2020

Statistics are playing a major role during the COVID-19 pandemic. The purpose of the Investor’s Business Daily article was to examine how the pandemic was affecting the stock market. Because the article did not identify its data source, I chose to base the graph below on official CDC data, so the numbers are a little different.

Testing 109

Testing Statistics Reporting Marketing 109