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

Occam's Razor

SEPTEMBER 24, 2012

A Facebook employee (FBe) gave a talk about measuring ROI/Value of Facebook campaigns. FBe's recommendation was (paraphrasing a 35 min talk): Don't invent new metrics, use online versions of Reach and GRPs to measure success. Why is it so hard to measure the value of Facebook? Metrics are a problem.

Advertising 165

Advertising ROI Metrics Marketing 165

AWS Big Data

JUNE 6, 2023

For example, medical researchers found that across 79,000 emergency department encounters of pediatric patients in a hospital, incorrect or missing patient weight measurements led to medication dosing errors in 34% of cases. They have to gather detailed data statistics, such as minimums, maximums, averages, and correlations.

Data Quality 96

Data Quality Statistics Data Lake Visualization 96

datapine

APRIL 2, 2019

Tracking the success metrics based on your needs, and the time frame you select while comparing your values can be done with simple yet effective scorecards. Let’s start with a simple definition. A KPI scorecard is a term used to describe a statistical record that measures progress or achievement towards a set performance indicator.

Scorecard 226

Scorecard KPI Dashboards Reporting 226

Alation

JANUARY 20, 2022

Step 2: Data Definitions. In this step, you connect data integrity to business results in shared definitions. This is done by collecting data statistics. Step 7: Data Quality Metrics. With data quality rules completed and firing, you can collect data quality metrics. With this step, you create a glossary for CDEs.

Data Quality 94

Data Quality Data Governance Metrics Statistics 94

datapine

JANUARY 6, 2022

First of all, let’s find a definition to understand what lies behind data interpretation meaning. 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. good, very good, fair, etc.,

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

IBM Big Data Hub

APRIL 13, 2023

SELECT count (*) FROM FLIGHT.FLIGHTS_DATA — — — 99879 Look into the scheme definition of the table. Explore data In this step, I’ll look at both sample records and the summary statistics of the training dataset to gain insights into the dataset. Check the summary statistics of the numeric column.

Modeling 85

Modeling Statistics Machine Learning Testing 85

FineReport

MARCH 7, 2024

Data Analysis Report (by FineReport ) Based on my understanding of this definition, I summarize big data analysis as the process of acquiring data, breaking down silos, integrating information, identifying patterns, and promptly deriving actionable insights for decision-making. Try FineReport Now 1.1

Dashboards 52

Dashboards Reporting Advertising Statistics 52

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 220

Machine Learning Risk Management Statistics 220

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. What Is A KPI? What Is A KPI Report? 2) Select your KPIs.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

Occam's Razor

MARCH 8, 2010

Like good little Reporting Squirrels we collect and stack metrics as if preparing for an imminent ice age. In this case its making right choices about the web metrics we knight and sent to the battle to come back with insights for our beloved corporation to monetize. You run a report and notice a trend for this metric.

Metrics 117

Metrics Testing Key Performance Indicator KPI 117

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

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Key To Your Digital Success: Web Analytics Measurement Model. " Measuring Incrementality: Controlled Experiments to the Rescue! Barriers To An Effective Web Measurement Strategy [+ Solutions!]. How Do I Measure Success?

KPI 124

KPI Metrics Measurement ROI 124

Anmut

JULY 12, 2021

Facts, events, statements, and statistics without proper context have little value and only lead to questions and confusion.?This We’ll start with basic definitions and then take an in-depth look at the characteristics, strengths, and weaknesses of data quality and data condition. Context is everything.?Facts,

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

FineReport

MAY 18, 2024

Definition and Importance Visualizing data involves representing information through graphical elements like charts and graphs. 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

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 Metrics 158

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. But first, let’s start with a simple definition.

KPI 221

KPI Management Key Performance Indicator Measurement 221

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

Occam's Razor

JULY 24, 2018

work (collection, processing, reporting, analysis), processes, org structure, governance models, last-mile gaps , metrics ladders of awesomeness , and… so… much… more. Remember, tools, work, processes, org structure, governance models, last-mile gaps, metrics ladders of awesomeness, and… so… much… more. The Implications of Complexity.

Analytics 93

Analytics Metrics Strategy Measurement 93

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

AWS Big Data

MAY 16, 2023

The AWS Glue Data Catalog contains the table definitions for the smart sensor data sources stored in the S3 buckets. Distribution network events dashboard Smart sensors measure and provide the operational information of the distribution networks.

Dashboards 79

Dashboards Statistics Data Collection Business Intelligence 79

Alation

AUGUST 18, 2022

It’s important to realize that we need visibility into lineage and relationships between all data and data-related assets, including business terms, metric definitions, policies, quality rules, access controls, algorithms, etc. The challenge today is to think more broadly about what these data things could or should be.

Metadata 69

Metadata Visualization Statistics Data Architecture 69

The Unofficial Google Data Science Blog

JULY 18, 2023

E ven after we account for disagreement, human ratings may not measure exactly what we want to measure. Researchers and practitioners have been using human-labeled data for many years, trying to understand all sorts of abstract concepts that we could not measure otherwise. That’s the focus of this blog post.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

APRIL 4, 2011

In the same vein not every output that is chock full of numbers in five size font, with pies and tables stuffed in for good measure, is a representation of web reporting. Also mere existence of statistics is not sufficient. If you see more than three metrics in a table you are presented with then you might not be looking at analysis.

Reporting 127

Reporting Metrics Dashboards Statistics 127

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. To get you started on the topic, we’ve put together this guide including definitions, benefits, examples, and a list of best practices.

Dashboards 179

Dashboards Reporting ROI Metrics 179

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

Occam's Razor

JULY 23, 2012

What metrics should I use? Definitely Y, do that. You might have some back and forth with the clients that will help you pull the right metrics into the reports, but for the most part you'll be told what they need and you'll do that for them. What to measure, 2. You have to know statistics 201.

Consulting 126

Consulting Analytics Reporting Measurement 126

datapine

MARCH 25, 2019

Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Conduct statistical analysis.

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

DataKitchen

OCTOBER 11, 2021

Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. Definition of Done. Finally, when your implementation is complete, you can track and measure your process. Statistical Process Control – applies statistical methods to control a process.

Testing 152

Testing Metadata Dashboards Statistics 152

DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. In our definition of data observability, we put the focus on the important goal of eliminating data errors. Week after week, it is measured with a million rows. Focus on the process.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Peter James Thomas

AUGUST 12, 2018

This piece was prompted by both Olaf’s question and a recent article by my friend Neil Raden on his Silicon Angle blog, Performance management: Can you really manage what you measure? Let’s start however with some definitions. It is hard to account for such tweaking in measurement systems. Fact-based decision making.

Metrics 49

Metrics Statistics Data Quality Measurement 49

Occam's Razor

JUNE 8, 2006

I am often asked what we look for when we hire Web Analysts or what quality do good Analysts possess or how to measure if a resource that already exists is optimal or how to mentor / motivate / guide our more junior Analysts to propel them to become great Analysts. This blog post is an attempt to answer all those questions wrapped into one.

KPI 94

KPI Measurement Statistics Metrics 94

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. The book, like this blog, rips up that definition and provides a expanded and more realistic business focused world view. Each of this Web Analytics 2.0 Bonus: Interactive CD.

Analytics 60

Analytics Metrics Marketing Dashboards 60

FineReport

NOVEMBER 30, 2020

When looking at your company’s monthly metrics, it’s essential to focus on a month’s worth of data. A month’s metrics is worthwhile, but it can be misleading if not placed in the proper context. A month’s metrics is worthwhile, but it can be misleading if not placed in the proper context.

Statistics 98

Statistics Metrics Sales Reporting 98

datapine

JUNE 4, 2020

To put things into perspective, we will focus on CTO dashboards and reports, beginning with the definitions, continuing with an example that you can use for your own business requirements, and finish with the most prominent benefits these dashboards and reports deliver to chief technologists. What Is A CTO Dashboard? What Is A CTO Report?

Dashboards 130

Dashboards Reporting Metrics Visualization 130

Occam's Razor

MAY 22, 2006

Almost always in A/B testing you are measuring one outcome (click thrus to next page or conversion etc). How to do A/B Testing: You can simply have your designers/developers create versions of the page and depending on the complexity of your web platform you can put the pages up and measure. It most definitely takes more brain power.

Experimentation 103

Experimentation Testing Optimization Measurement 103