Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

IBM Big Data Hub

DECEMBER 18, 2023

RUM data is a critical component of optimizing the performance of online applications and services. Does that imply that there are “fake” user metrics as well? Synthetic data is a statistical representation of reality. Think of it like an always-on, real-time survey of what your users experience online.

IT 69

IT Metrics Optimization Testing 69

IBM Big Data Hub

APRIL 9, 2024

” Watsonx.data lets organizations optimize workloads for different uses. “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. ” Watsonx.ai

Management 85

Management IT Machine Learning Metrics 85

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.

Metrics 87

Metrics Machine Learning Risk Statistics 87

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

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. Optimized: Cloud environments are now working efficiently and every new use case follows the same foundation set forth by the organdization.

Modeling 81

Modeling Cost-Benefit Optimization Digital Transformation 81

AWS Big Data

MARCH 12, 2024

AWS Glue Data Quality reduces the effort required to validate data from days to hours, and provides computing recommendations, statistics, and insights about the resources required to run data validation. In this post, we provide benchmark results of running increasingly complex data quality rulesets over a predefined test dataset.

Data Quality 92

Data Quality Measurement Testing Visualization 92

Occam's Razor

SEPTEMBER 24, 2012

FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. So to imply the ROI in Step 4 is sub-optimal. Based on results of value identified for Facebook, optimize their advertising mix strategy for future product launches.

Advertising 165

Advertising ROI Metrics Marketing 165

Octopai

OCTOBER 26, 2022

Continuous pipeline monitoring with SPC (statistical process control). SPC is the continuous testing of the results of automated manufacturing processes. products or product components) are checked to make sure that they do not deviate in a statistically significant way from the expected results. Results (i.e.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

CIO Business Intelligence

FEBRUARY 13, 2023

The name references the Greek letter sigma, which is a statistical symbol that represents a standard deviation. Larger is Better involves a “lower specification limit,” such as test scores — where the target is 100%. During the improve phase, the focus is on testing the best potential solutions identified in the earlier phases.

Management 97

Management Statistics Manufacturing Measurement 97

Occam's Razor

MARCH 23, 2021

The first component is a gloriously scaled global creative pre-testing program. We pre-test pretty much everything in an online lab ish environment, and predict whether a piece of a TV or Billboard or Radio or YouTube or Facebook creative will be successful. Matched market tests. Creative is the thing you see in the ad.

Analytics 131

Analytics Scorecard Strategy Testing 131

datapine

MARCH 19, 2019

According to the statistics portal Statista , there are currently around 4.78 It offers ease of access through mobile devices, on the go, with critical metrics displayed at-a-glance. We live in a mobile world. billion mobile device users worldwide. Why Are Mobile Dashboards Important?

Dashboards 112

Dashboards Visualization Metrics KPI 112

FineReport

MAY 18, 2024

In scientific research, histograms are commonly used to illustrate the distribution of test scores among students, providing insights into performance patterns and areas for improvement. This technique helps identify correlations or patterns between variables and is widely used in statistical analysis and research studies.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

FineReport

DECEMBER 9, 2021

These goals include optimizing current business processes, creating top-notch products and services, and becoming a data-driven business. Untracked metrics: data you will not track. This will be a subset of the metrics you track. Three Rights. How to develop a BI strategy? Choose a qualified BI tool. FineReport Architecture.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

AWS Big Data

FEBRUARY 6, 2023

Additionally, a TCO calculator generates the TCO estimation of an optimized EMR cluster for facilitating the migration. For optimizing EMR cluster cost effectiveness, the following table provides general guidelines of choosing the proper type of EMR cluster and Amazon Elastic Compute Cloud (Amazon EC2) family.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

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 58

Machine Learning Data Science Statistics Deep Learning 58

Smart Data Collective

MARCH 30, 2021

A data-driven approach allows companies of any scale to develop SEO and marketing strategies based not on the opinion of individual marketers but on real statistics. So, today, we’ll share tips on how to use big data, what features to pay attention to, and how each particular metric and feature can help you earn more. Souce: [link].

Data-driven 91

Data-driven Sales Big Data Marketing 91

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. This has serious implications for software testing, versioning, deployment, and other core development processes. Machine learning adds uncertainty.

Management 332

Management Machine Learning Experimentation Metrics 332

Occam's Razor

MAY 17, 2006

Leverage the power of Statistics. Applying statistics tells us that the results, the two conversion rates, are just 0.995 standard deviations apart and not statistically significant. Applying statistics will now tell us that the two numbers are 1.74 It is a more skeptical test with a higher threshold for differences.

Statistics 120

Statistics Analytics Testing Optimization 120

Birst BI

AUGUST 23, 2018

If your data science resources are strained, here is an example data scientist workflow that leverages Birst to speed up tasks throughout the application development lifecycle – data preparation, model development and testing with R integration, deployment into the business, and governance and management.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

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. The entire online experimentation canon is filled with landing page optimization type testing. Public relations.

Experimentation 101

Experimentation Testing Optimization Marketing 101

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

Juice Analytics

MARCH 30, 2021

The author must decide what data is most important to focus on to answer the questions at hand, and how to optimally harness and depict data to inform thinking and action. Data authors need to be comfortable with core statistical concepts and comfortable with manipulating data. Effective communication with data is a rare skillset.

Cost-Benefit 131

Cost-Benefit Statistics Metrics Dashboards 131

AWS Big Data

APRIL 28, 2023

One of the most common questions we get from customers is how to effectively monitor and optimize costs on AWS Glue for Spark. In this post, we demonstrate a tactical approach to help you manage and reduce cost through monitoring and optimization techniques on top of your AWS Glue workloads. includes the new optimized Apache Spark 3.3.0

Optimization 97

Optimization Metrics Interactive Data Integration 97

DataRobot

APRIL 20, 2021

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. Binary classification models are often optimized using an error metric called LogLoss.

Measurement 52

Measurement Visualization Advertising Metrics 52

CDW Research Hub

AUGUST 19, 2019

Will it include a readout summary of volumes of orders and customers, distilled application monitoring metrics, review and signoff of marketing content? This requires coordination across multiple teams to get all of these applied and tested within the various environments, so don’t leave it to the last minute.

Testing 49

Testing Optimization Data Processing Strategy 49

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Five Reasons And Awesome Testing Ideas. How do I choose well?

KPI 124

KPI Metrics Measurement ROI 124

BizAcuity

MAY 16, 2022

Fast food companies like Domino’s, McDonald’s and KFC collect massive amounts of data which includes customer data and other key business metrics for their own operations. His name was William Gosset and he is credited to have developed the student t-test. Almost all restaurants and cafes religiously follow this practice.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

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

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications. MLOps and IBM Watsonx.ai

Data Science 57

Data Science Machine Learning Cost-Benefit Deep Learning 57

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. Data science is an interdisciplinary field within STEM that combines math and statistics, computer science, and business acumen to find patterns in complex datasets that can be used to improve decision making. The Data Science Toolkit.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

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. 3) What Are KPI Best Practices?

KPI 221

KPI Management Key Performance Indicator Measurement 221

Occam's Razor

OCTOBER 31, 2011

It artificially inflates the importance of a change in the metric might not be all that important. 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. Calibrate Your Time Series Optimally.

Statistics 130

Statistics Testing Reporting Key Performance Indicator 130

Sisense

MARCH 4, 2019

In order to do this, the system first extracts statistical values (data distribution) from the raw data. Since the DNN requires a relatively large number of training samples, the system generates and executes hundreds of thousands of queries using concurrent technology to optimize costs. Evaluation and Distribution.

Big Data 68

Big Data Data Analytics Analytics IoT 68

Occam's Razor

JULY 23, 2012

What metrics should I use? Would I be required to set up various A/B and multivariate tests for that company? The Optimal Web Analytics Consulting Framework: DC – DR – DA. You have to know statistics 201. You know 19,000 ways to get optimal context for your KPIs and insert it into the dashboards.

Consulting 126

Consulting Analytics Reporting Measurement 126

The Unofficial Google Data Science Blog

JUNE 30, 2016

A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means. Identification We now discuss formally the statistical problem of causal inference. We start by describing the problem using standard statistical notation.

Statistics 44

Statistics Optimization Modeling Experimentation 44