datapine

MARCH 22, 2019

Read here how these metrics can drive your customers’ satisfaction up! Customer satisfaction metrics evaluate how the products or services supplied by a company meet or surpass a customer’s expectations. Exclusive Bonus Content: Get our short guide to CES and NPS! Without further ado, let’s get going. But why?

Metrics 134

Metrics Dashboards Measurement Interactive 134

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. Agreeing on metrics. Identifying the problem.

Marketing 362

Marketing Experimentation Metrics Testing 362

datapine

JUNE 7, 2022

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path.

Visualization 267

Visualization Metrics Statistics Dashboards 267

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

Smart Data Collective

JUNE 8, 2023

many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. In this article, we will explore the crucial role that data collection plays in analyzing football performance, unlocking valuable insights that can shape the future of the sport.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

FineReport

MARCH 7, 2024

Data Analysis Report (by FineReport ) Note: All the data analysis reports in this article are created using the FineReport reporting tool. 2) Second-party data: Often referred to as advertising delivery data, including metrics like ad impressions, page clicks, and ad sources. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

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 data collection process is an ongoing process that starts with setting goals, defining success metrics , identifying what data needs to be collected, and how it will be gathered. Data is a constant in today’s world.

Marketing Analytics 93

Marketing Analytics Marketing Data-driven Analytics 93

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

FineReport

MARCH 6, 2024

In this article, we will thoroughly examine the significance of financial statements, elucidate the various types of financial statements, and provide illustrative examples to facilitate a comprehensive analysis of the three essential financial statements. These disparities naturally impact income levels.

Reporting 52

Reporting Operational Reporting Statistics Dashboards 52

Smart Data Collective

NOVEMBER 26, 2021

Data analytics refers to the systematic computational analysis of statistics or data. Data analytics make up the relevant key performance indicators ( KPIs ) or metrics necessary for a business to create various sales and marketing strategies. Consequently, you can make smarter decisions and hit your metrics and overall business goals.

Marketing 110

Marketing Data Analytics Key Performance Indicator Analytics 110

Andrew White

MARCH 28, 2019

an analytic or metric), or some other more sophisticated representative of a model or algorithm. There was an interesting article in today’s US print edition of the Financial Times. In tests every day, if something is found to be statistically significant then it must surely be. The problem is this is not necessarily so.

Data-driven 79

Data-driven Statistics Testing Metrics 79

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. Models will need to be customized (for specific locations, cultural settings, domains, and applications).

Machine Learning 220

Machine Learning Risk Management Statistics 220

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 136

Internet of Things IoT Broadcasting Big Data 136

Smart Data Collective

JULY 20, 2022

Here are some statistics on the importance of AI in marketing : 48% of marketers feel AI makes a greater difference than anything else in affecting their relationship with customers 51% of e-commerce companies use AI to improve the customer experience 64% of B2B marketers use AI to guide their strategy.

Marketing 139

Marketing B2B Strategy Statistics 139

Cloudera

DECEMBER 3, 2021

As discussed in this article , model design can also be a source of bias too. There are a number of metrics that can be used to measure the performance of a system; they include accuracy, precision and F-score to name only three. We have already covered a few of those applications in this article so far. Model Drift. Regulation.

Uncertainty 104

Uncertainty Measurement Metrics Risk 104

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

Juice Analytics

APRIL 7, 2021

Messages must be clear and focused and eliminate the unnatural, mechanical chart headings and the unnecessarily complex statistical jargon. How exactly is this metric calculated? But don’t be that presenter who stares incessantly at your metrics and goals. Two paragraphs and 15 slides in, everyone wonders, “Where is this going?

Metrics 100

Metrics Statistics Dashboards IT 100

datapine

AUGUST 28, 2019

Stories inspire, engage, and have the unique ability to transform statistical information into a compelling narrative that can significantly enhance business success. According to a study performed by Skyword, content that features a mix of words and visuals drives 34% more engagement than text-only articles, blog posts, or whitepapers.

KPI 193

KPI Visualization Dashboards Data-driven 193

Analytics Vidhya

DECEMBER 16, 2020

This article was published as a part of the Data Science Blogathon. Introduction There are so many performance evaluation measures when it comes to. The post Decluttering the performance measures of classification models appeared first on Analytics Vidhya.

Measurement 294

Measurement Modeling Data Science Publishing 294

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 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

DECEMBER 9, 2021

Untracked metrics: data you will not track. This will be a subset of the metrics you track. Data Scientist: A person who uses analytics, statistical tools, and machine learning to extract actionable value from big data. The chosen example in this article is the wonderful application of FineReport. Free Download.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. Ultimately, the evaluation is based on whether or not the model delivers success to the customers’ business.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Smarten

FEBRUARY 16, 2023

Gartner says that a Citizen Data Scientist is “a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.” In this article, we consider the question of ‘what’s in it for me?’

Prescriptive Analytics 52

Prescriptive Analytics Statistics Consulting Metrics 52

datapine

NOVEMBER 15, 2022

1) What Are Product Metrics? 2) Types Of Product Metrics. 3) Product Metrics Examples You Can Use. 4) Product Metrics Framework. The right product performance metrics will give you invaluable insights into its health, strength and weaknesses, potential issues or bottlenecks, and let you improve it greatly.

Metrics 141

Metrics KPI Measurement Dashboards 141

Occam's Razor

AUGUST 22, 2011

" + Strategic Analysis Articles. Tactical Analysis Articles. " ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Blogging Experience Articles. + Book Articles. Misc Articles. In each section the listing is from the latest article to the earliest.

KPI 124

KPI Metrics Measurement ROI 124

FineReport

MAY 9, 2023

As a result, you’ll be able to understand key metrics better and lay the groundwork for increasing conversions as a result. This article will tell you more about digital marketing reports. This article will introduce you to the specific indicators that can help you grow your company in greater detail later.

Reporting 52

Reporting Marketing Advertising Metrics 52

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. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

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. Among these, only statistical uncertainty has formal recognition. leaves out.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

Juice Analytics

MARCH 16, 2021

One client explained to us that fluctuations in many of their metrics make monthly alerts too frequent—it would unnecessarily alarm people when, from their perspective, no significant trend had been established. ? Is the change statistically significant ? Here’s an article about how to “reduce visual noise” in your designs. ?

Dashboards 78

Dashboards Metrics Measurement Visualization 78

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

Analytics Vidhya

NOVEMBER 9, 2020

This article was published as a part of the Data Science Blogathon. Overview Challenges if we use the Linear Regression model to solve a. The post Binary Cross Entropy aka Log Loss-The cost function used in Logistic Regression appeared first on Analytics Vidhya.

Data Science 170

Data Science Publishing Modeling Analytics 170

Business Over Broadway

MARCH 13, 2019

Next, we can explore our data by calculating some descriptive statistics for our measures. Simply add the Statistics Node to the window and connect it to the Auto Data Prep Node. To view the statistics, click on the Statistics Node and hit run. The level of satisfaction is indexed by a summary statistic.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78

Sisense

APRIL 10, 2020

R is a tool built by statisticians mainly for mathematics, statistics, research, and data analysis. We’ll actually do this later in this article. There are many performance metrics to evaluate performance of Machine Learning models. R: Analytics powerhouse. R libraries. y_pred=predict(xb, y_val) val-auc=auc(y_pred,y_val).

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Smarten

JUNE 29, 2018

This article discusses the Paired Sample T Test method of hypothesis testing and analysis. In this case, the metrics would be, “salary”, and the two related groups would be the two different “time points”; that is, salaries “before” and “after” completion of the PhD program.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Sisense

SEPTEMBER 25, 2020

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. Statistics and programming go hand in hand. Mastering statistical techniques and knowing how to implement them via a programming language are essential building blocks for advanced analytics. Linear regression.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

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. For model training and selection, we recommend considering fairness metrics when selecting hyperparameters and decision cutoff thresholds.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

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?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45