O'Reilly on Data

OCTOBER 13, 2020

In an incident management blog post , Atlassian defines SLOs as: “the individual promises you’re making to that customer… SLOs are what set customer expectations and tell IT and DevOps teams what goals they need to hit and measure themselves against. While useful, these constructs are not beyond criticism.

Management 314

Management Machine Learning Metrics Modeling 314

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Clear measurement and monitoring of results. In this blog, we’ll explore the role of the DataOps Engineer in driving the data organization to higher levels of productivity. Measure success. Low error rates.

Testing 152

Testing Dashboards Measurement Experimentation 152

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. When there are changing assignment weights and time-based confounders, this complication must be considered either in the analysis or the experimental design.

Experimentation 96

Experimentation Statistics Testing Knowledge Discovery 96

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

SEPTEMBER 30, 2013

You should have an incredibly amazing blog for your company (more on this below). In addition to that they have amazing content like what you'll see at Patagonia Surfing , and they have a regularly updated awesome blog The Cleanest Line and so much more. Finally, I''ve never accepted ads on this blog. incredible 2.

Marketing Analytics 156

Marketing Analytics Marketing Visualization Analytics 156

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

by HENNING HOHNHOLD, DEIRDRE O'BRIEN, and DIANE TANG In this post we discuss the challenges in measuring and modeling the long-term effect of ads on user behavior. Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning.

Modeling 63

Modeling Experimentation Knowledge Discovery Testing 63

CIO Business Intelligence

SEPTEMBER 9, 2022

As Dan Moore writes in his “ Letters to a new Developer ” blog, “Even as a new developer, you’re constantly making small creative decisions (naming a variable, for example). Measure the right outputs. There is, for example, far more creativity involved in building software than is typically imagined. Passion and space to innovate.

Software 131

Software Experimentation Measurement Marketing 131

Alation

DECEMBER 20, 2022

Failing to measure the impact of digital transformation against corporate strategies and OKRs. The measurement of an improvement and transformation is important,” Shaun Guthrie , senior VP of IT at Peavy Industries, points out “[It’s] Not just whether you improved revenue, efficiency, etc., Subscribe to Alation's Blog.

Digital Transformation 96

Digital Transformation Scorecard Measurement Experimentation 96

Occam's Razor

JULY 1, 2008

3 ] Provide you with a bushel of specific multichannel measurement ideas to help quantify the offline impact of your online presence. It's a tall order, but after two years of blogging why stop now. : ). Why should you care about measuring multichannel impact? But also be pragmatic, about how much, how accurate and when.

Analytics 116

Analytics Measurement Marketing Sales 116

CIO Business Intelligence

SEPTEMBER 12, 2022

Prioritize time for experimentation. It requires bold bets and a willingness to persevere despite setbacks, criticism, and uncertainty,’’ wrote McKinsey senior partners Laura Furstenthal and Erik Roth in a recent blog post. “By Here, they and others share seven ways to create and nurture a culture of innovation.

Experimentation 133

Experimentation Consulting Technology Machine Learning 133

Occam's Razor

AUGUST 13, 2012

Yehoshua Coren: Best ways to measure user behavior in a multi-touch, multi-device digital world. Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. What's possible to measure. What's not possible to measure. Let's do this!

Modeling 125

Modeling Metrics Data Quality Data-driven 125

Cloudera

MARCH 2, 2022

You can read previous blog posts on Impala’s performance and querying techniques here – “ New Multithreading Model for Apache Impala ”, “ Keeping Small Queries Fast – Short query optimizations in Apache Impala ” and “ Faster Performance for Selective Queries ”. . It also measured peak memory consumed at the node and the operator level.

Data Warehouse 89

Data Warehouse Optimization Analytics Sales 89

Occam's Razor

JANUARY 7, 2014

The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. More on the Digital Marketing & Measurement Model, DMMM, in #2 below.). If you measure true business profitability , you'll unleash so much Analysis Ninja power it will blow your mind. Reporting Squirrels vs. Analysis Ninjas.

Data-driven 142

Data-driven Consulting Reporting Marketing 142

DataKitchen

MARCH 8, 2023

This requires a culture of innovation, experimentation, and willingness to take risks and try new approaches. Measuring these goals is very important to success. As the adage goes, You can’t improve what you can’t measure. The team must be agile and flexible, able to pivot quickly and adapt to new challenges.

Analytics 130

Analytics Manufacturing Data-driven Data Analytics 130

Occam's Razor

NOVEMBER 13, 2009

I now have several full time jobs, plus this blog, plus speaking around the world, plus a family, plus… so much more. " This blog post is in three parts: The pitch. Chapter 5 The Key to Glory: Measuring Success. Chapter 7 Failing Faster: Unleashing the Power of Testing and Experimentation. Request for help.

Analytics 71

Analytics Metrics Measurement Testing 71

Jedox

SEPTEMBER 11, 2019

Experimental” Technology. Is AI truly experimental technology? It could be data sets that are usually very time consuming and can be automated or areas where prediction is not accurate enough and AI algorithms can make a visible, measurable impact. In most cases, the answer is no. appeared first on Jedox.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

Domino Data Lab

JUNE 13, 2019

This has led to researchers to look for ways to address the rising danger of overfitting by reconstructing datasets, measuring the accuracy, and then sharing their process. If you are interested in your data science work being covered in this blog series, please send us an email at content(at)dominodatalab(dot)com.

Testing 83

Testing Data Science Experimentation Metadata 83

Sisense

JANUARY 21, 2020

They measured both the blood pressure of the participants and if they had a heart attack or not. Another study showed using experimental studies that the paradox might occur, and that people are often poor at recognizing it. Everyone wants to get more out of their data, but how exactly to do that can leave you scratching your head.

Testing 104

Testing Data-driven Risk Statistics 104

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? This blog post provides details for how we can make inferences without waiting for complete uptake. This blog post provides details for how we can make inferences without waiting for complete uptake. What if their uptake rate is not uniform?

Experimentation 62

Experimentation Measurement Modeling Statistics 62

O'Reilly on Data

MARCH 23, 2023

Tokens ChatGPT’s sense of “context”—the amount of text that it considers when it’s in conversation—is measured in “tokens,” which are also used for billing. ChatGPT offers users a paid account that costs $20/month, which is good enough for experimenters, though there is a limit on the number of requests you can make.

IT 348

IT Modeling Testing Risk 348

Domino Data Lab

NOVEMBER 14, 2019

advocate for “defining interpretability in the context of machine learning” and for using a Predictive, Descriptive, Relevant (PDR) framework because there is “considerable confusion about the notion of interpretability” Data science work is experimental, iterative, and at times, confusing.

Modeling 71

Modeling Machine Learning Data Science Experimentation 71

The Unofficial Google Data Science Blog

JANUARY 16, 2018

Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. With A/B testing, we can validate various hypotheses and measure the impact of our product changes, allowing us to make better decisions. This could create confusion.

Testing 59

Testing Experimentation Measurement Modeling 59

Occam's Razor

FEBRUARY 26, 2008

1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. Experimentation and Testing: A Primer. Build A Great Web Experimentation & Testing Program. # Often with benchmarks we get into silly arguments like how do they measure this and that etc.

Management 68

Management Experimentation Testing Metrics 68

Occam's Razor

NOVEMBER 2, 2015

For the rest of this post, I'm going to use the first three to capture the essence of social engagement and brand impact, and one to measure impact on the business. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). Measure all this Social Media activity.

B2B 167

B2B Metrics Recreation/Entertainment Testing 167

Cloudera

OCTOBER 8, 2024

By 2023, the focus shifted towards experimentation. Enterprise-Grade Security: Implements robust security measures, including authentication, authorization*, and data encryption, helping ensure that data and models are protected both in transit and at rest. These innovations pushed the boundaries of what generative AI could achieve.

Optimization 75

Optimization Experimentation Metrics Enterprise 75

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

IBM Big Data Hub

MAY 17, 2024

Cloud adoption maturity model This maturity model helps measure an organization’s cloud maturity in aggregate. Teams are comfortable with experimentation and skilled in using data to inform business decisions. Service ownership is established and distributed to self-sufficient teams.

Modeling 96

Modeling Cost-Benefit Optimization Digital Transformation 96

Sisense

NOVEMBER 23, 2020

Some challenges still remain, however, such as underdeveloped data capabilities, the ability to clearly articulate a business problem, and then measure the data/technical solution in a quantifiable way. This all contributes to a culture of innovation, experimentation, and exploration. The changing role of the data professional.

Analytics 98

Analytics Data-driven Marketing Reporting 98

Data Science and Beyond

APRIL 5, 2021

The initial covid-19 lockdown provided me with extra free time to make the measurement and offsetting of Automattic’s emissions from data centre power use happen. I summarised this work in a post on the company’s blog , and discussed it in an interview with PublishPress. Technical work.

Experimentation 61

Experimentation Testing Publishing Data Collection 61

CIO Business Intelligence

AUGUST 17, 2023

“Since the middle of last year, we’ve been analyzing the potential impact, opportunities, and risks of the speed of innovation in this area, as well as introduced policies and implemented measures to minimize risks,” he says. It’s already powerful in blog sites and a lot of people will use it as a framework,” he says.

Risk 98

Risk Cost-Benefit Strategy Unstructured Data 98

DataRobot Blog

MARCH 16, 2023

Today, DataRobot unveiled a new AI platform designed to help businesses derive measurable value from AI – something that too many organizations today have been unable to achieve. We are offering customers rapid experimentation and value identification, with both code-first and no-code approaches. And we’re just getting started.

Experimentation 52

Experimentation Data-driven Measurement Enterprise 52

Cloudera

APRIL 26, 2023

In the blogs that follow, as part of this multi-part series, we will shed light on the latest and greatest features released via Cloudera Data Platform (CDP) Private Cloud Data Services. The post Building Cloud Native Data Apps on Premises appeared first on Cloudera Blog.

Cost-Benefit 64

Cost-Benefit Optimization Experimentation Machine Learning 64

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. This reality powers my impostor syndrome, and (yet?)

Marketing 138

Marketing Analytics Machine Learning Strategy 138

DataRobot Blog

JULY 28, 2022

In this blog post, we would like to present some examples of actual cases in which noise reduction had a significant effect in real-world applications, and in which powerful features were obtained. For example, data measured by sensors can contain all kinds of noise due to sensor malfunctions, environmental changes, etc.,

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Occam's Razor

JUNE 6, 2007

It has been such an amazing journey to write the book, and for it to come up almost exactly a year after I started this blog. Experimentation & Testing (A/B, Multivariate, you name it). The book, like this blog, rips up that definition and provides a expanded and more realistic business focused world view. There I said it.

Analytics 60

Analytics Metrics Marketing Dashboards 60

The Unofficial Google Data Science Blog

JULY 31, 2016

The analysis can be straightforward, especially when it's safe to assume that individual observations of an outcome measure are independent. This blog post explores how this problem arises in applications at Google, and how we can 'mind our units' through analysis and logging. When analyzing the outcome measure (e.g.,

Experimentation 42

Experimentation Testing Measurement Metrics 42

Ontotext

FEBRUARY 14, 2024

How do you measure its utility? Experimentation is important, but be explicit when you do. There’s a famous saying by a statistician, George Box, “All models are wrong, but some are useful.” ” So, how do you know whether your model is useful? Start with “why?” Don’t fear growth.

Recreation/Entertainment 105

Recreation/Entertainment Data Integration Modeling Data Quality 105