Domino Data Lab

OCTOBER 7, 2020

The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of samples. Statistical methods for analyzing this two-dimensional data exist. This statistical test is correct because the data are (presumably) bivariate normal.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

IBM Big Data Hub

AUGUST 9, 2023

A phishing simulation is a cybersecurity exercise that tests an organization’s ability to recognize and respond to a phishing attack. Why phishing simulations are important Recent statistics show phishing threats continue to rise. The only difference is that recipients who take the bait (e.g., million phishing sites.

Testing 79

Testing Measurement Behavioral Analytics Reporting 79

IBM Big Data Hub

APRIL 9, 2024

. “With the data we’ve prepared we can then calculate the odds of a birdie or an eagle from a particular sector; we can also look across to the opposite side of the fairway for contrastive statistics,” says Baughman. We also measure response time since this is a near real-time system.

Management 85

Management IT Machine Learning Metrics 85

IBM Big Data Hub

APRIL 13, 2023

Creating train/test partitions of the dataset Before collecting deeper insights into the data, I’ll divide this dataset into train and test partitions using Db2’s RANDOM_SAMPLING SP. outtable=FLIGHT.FLIGHTS_TRAIN, by=FLIGHTSTATUS') Copy the remaining records to a test PARTITION. Create a TRAIN partition.

Modeling 89

Modeling Statistics Machine Learning Testing 89

IBM Big Data Hub

NOVEMBER 29, 2023

Creating synthetic test data to expedite testing, optimization and validation of new applications and features. In other words, a differentially private synthetic dataset still reflects the statistical properties of your real dataset. Synthetic data provides a faster alternative for training machine learning models.

Metrics 87

Metrics Machine Learning Risk Statistics 87

IBM Big Data Hub

JULY 10, 2023

Vibration analysis—a component of condition monitoring systems—utilizes vibration sensors to measure frequencies in an asset and detect abnormalities that may indicate a problem. Understanding vibrations Vibrations are multidimensional, so vibration testing requires an understanding of various parameters.

Optimization 58

Optimization IT Measurement Cost-Benefit 58

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. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

Data Quality 241

Data Quality Metrics Data-driven Management 241

AWS Big Data

MARCH 27, 2024

By testing the solution against key metrics, a POC provides insights that allow you to make an informed decision on the suitability of the technology for the intended use case. Complete the implementation tasks such as data ingestion and performance testing. Collect data metrics and statistics on the completed tasks.

Testing 101

Testing Data Warehouse Metrics Cost-Benefit 101

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. We need to get to the root of the problem.

Uncertainty 98

Uncertainty Measurement Metrics Risk 98

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. This could create confusion.

Testing 58

Testing Experimentation Measurement Modeling 58

Depict Data Studio

AUGUST 28, 2023

Numbers are test scores, ages, number of people, amount of money donated, etc. For numbers , we need to tabulate them using descriptive statistics , which often aren’t possible with pivot tables. Here’s an older blog post that shows you how to get started with pivot tables within minutes.

Statistics 52

Statistics Dashboards Interactive Measurement 52

Smarten

JUNE 17, 2022

After completion of the testing procedure, the certificate is provided to show that all requirements were met. As a certified CERT-IN service and product provider, Smarten adds additional security assurances to its already rich foundation of security measures and methodologies to support clients, partners and stakeholders.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

IBM Big Data Hub

MAY 17, 2024

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate.

Modeling 81

Modeling Cost-Benefit Optimization Digital Transformation 81

Sisense

JANUARY 21, 2020

This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term. A new drug promising to reduce the risk of heart attack was tested with two groups.

Testing 104

Testing Risk Data-driven Statistics 104

Smarten

APRIL 12, 2023

About Smarten 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.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

datapine

JULY 17, 2019

KPI is a value measured to assess how effective a project or company is at achieving its business objectives. In other words, KPIs provide organizations with the means of measuring how various aspects of the business are performing in relation to their strategic goals. Quick Ratio / Acid Test. What Is A KPI? Budget Variance.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Smarten

MAY 29, 2023

World-renowned technology analysis firm Gartner defines the role this way, ‘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. ‘If

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

Sisense

OCTOBER 6, 2020

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. All descriptive statistics can be calculated using quantitative data. Digging into quantitative data. or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

AWS Big Data

DECEMBER 7, 2023

AWS Clean Rooms supports multiple industries and use cases, and this blog is the first of a series on types of proof of concepts that can be conducted with AWS Clean Rooms. In this post, we outline planning a POC to measure media effectiveness in a paid advertising campaign.

Measurement 94

Measurement Advertising Testing Data-driven 94

DataRobot Blog

MAY 26, 2022

These methods provided the benefit of being supported by rich literature on the relevant statistical tests to confirm the model’s validity—if a validator wanted to confirm that the input predictors of a regression model were indeed relevant to the response, they need only to construct a hypothesis test to validate the input.

Risk 52

Risk Modeling Metrics Business Objectives 52

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

Ontotext

FEBRUARY 14, 2024

How do you measure its utility? As a statistical model, LLM inherently is random. With things like named graphs, layering the data, testing those what-if scenarios, and checking the state is fantastic. We find that as great as SHACL is at ensuring the data quality, testing the RDF pipelines is another matter.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105

Occam's Razor

AUGUST 22, 2011

Here you'll find all my blog posts categorized into a structure that will hopefully make it easy for you to discover new content, find answers to your questions, or simply wallow in some excellent analytics narratives. Blogging Experience Articles. + Key To Your Digital Success: Web Analytics Measurement Model. Find people?"

KPI 124

KPI Metrics Measurement ROI 124

Domino Data Lab

JULY 17, 2021

While more advanced models for speaker verification exist, this blog will form a basis of speech signal processing. NOTE : The scope of this blog is a machine learning approach to TISV. The likelihood function measures the goodness of fit of a statistical model to a sample of data for given values of the unknown parameters.

Modeling 64

Modeling Testing Machine Learning Measurement 64

Sisense

MAY 20, 2021

Identify theories, test them, rigorously seek to disprove them while rapidly implementing those that show promise. Don’t let your team search out favorable statistics. Amazon measures the effectiveness of almost everything it does, including innovation. It’s becoming increasingly important to try to measure innovation with data.

Analytics 98

Analytics Data-driven Strategy Measurement 98

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. What happens next?

KPI 221

KPI Management Key Performance Indicator Measurement 221

DataRobot

APRIL 20, 2021

This is the first in a series of three blog posts that shares our perspective on AI you can trust. This includes the basics: Computing summary statistics on each feature Measuring associations between features Observing feature distributions and their correlation with the predictive target Identifying outliers.

Measurement 52

Measurement Visualization Advertising Metrics 52

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?

Metrics 134

Metrics Dashboards Measurement Interactive 134

datapine

MARCH 19, 2019

According to the statistics portal Statista , there are currently around 4.78 You should hold internal focus groups to test how ‘scannable’ your dashboard designs are and find out which areas need improvement. We live in a mobile world. billion mobile device users worldwide.

Dashboards 112

Dashboards Visualization Metrics KPI 112

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

We were often asked to make sense of confusing results, measure new phenomena from logged behavior, validate analyses done by others, and interpret metrics of user behavior. I'd like to share the contents of that document in this blog post. By PATRICK RILEY For a number of years, I led the data science team for Google Search logs.

Metrics 107

Metrics Measurement Statistics Data Collection 107

Occam's Razor

FEBRUARY 7, 2022

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. Insights worth testing. This blog post was originally published as an edition of my newsletter TMAI Premium. You can test landing pages.

Experimentation 101

Experimentation Testing Optimization Marketing 101

The Unofficial Google Data Science Blog

JANUARY 14, 2016

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. Because individual observations have so little information, statistical significance remains important to assess.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

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 95

Cost-Benefit Modeling Manufacturing Interactive 95

Occam's Razor

OCTOBER 31, 2011

Creating graphs is easy, and I could fill five blog posts with all the nonsense one can accomplish by playing with the axes. In this case for my data it is not statistically significant (more on that later in this post), but there is no way you would know that (or not know that) just from the data in front of you. Look at it carefully?

Statistics 130

Statistics Testing Reporting Key Performance Indicator 130

BizAcuity

APRIL 1, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. Model Training: The selected model is trained on a dataset and subsequently validated and tested before being deployed.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. Model Training: The selected model is trained on a dataset and subsequently validated and tested before being deployed.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52