Domino Data Lab

DECEMBER 4, 2020

Having calculated AUC/AUMC, we can further derive a number of useful metrics like: Total clearance of the drug from plasma. Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). The area under the first moment curve would respectively be.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

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 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 58

Testing Experimentation Measurement Modeling 58

Insight

MARCH 12, 2020

One way that we can get around this is to use the proportion of tags that fall into a given class as a measure of our degree of confidence in that class association. It is worth keeping in mind that the choice of threshold will impact downstream metrics like precision as well as shifting the size of our dataset.

Modeling 59

Modeling Metadata Publishing Sales 59

datapine

FEBRUARY 4, 2020

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. Structure your metrics. As with any report you might need to create, structuring and implementing metrics that will tell an interesting and educational data-story is crucial in our digital age.

Reporting 280

Reporting Marketing Advertising Metrics 280

Occam's Razor

SEPTEMBER 30, 2013

Visuals, because if I can paint a simple picture about something complex it means I understand it and in turn I can explain it to others. Each of the six visuals re-frames a unique facet of the digital opportunity/challenge, and shares how to optimally take advantage of the opportunity/challenge. And you have!). People and companies.

Marketing Analytics 154

Marketing Analytics Marketing Visualization Analytics 154

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. DataOps requires that teams measure their analytic processes in order to see how they are improving over time. Meta-Orchestration .

Testing 307

Testing Machine Learning Consulting Data Quality 307

Darkhorse

NOVEMBER 8, 2016

There is a near infinite variety of visualization methods within our field. FlowingData has given us 9 ways to visualize proportions and 11 ways for changes over time. Jittered strip plots in all their glory: Orchard visualizes loan principal amounts Andy Cotgreave’s Chart of Biology Aware looks at personal productivity Bee Swarm Plot.

Visualization 72

Visualization Experimentation Measurement Statistics 72

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. These measurement-obsessed companies have an advantage when it comes to AI. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

AWS Big Data

NOVEMBER 14, 2023

With a combination of low-latency data streaming and analytics, they are able to understand and personalize the user experience via a seamlessly integrated, self-reliant system for experimentation and automated feedback. Canva is an online design and visual communication platform.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. For example, we might want to stop the process if we measure harmful effects early. What if their uptake rate is not uniform?

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Occam's Razor

AUGUST 12, 2013

I strongly encourage you to read the post and deeply understand all three and what your marketing and measurement possibilities and limitations are. Combine that with the excellent multi-channel conversion visualize (in the Overview section) and you have yourself a view of your marketing that will freak you out. It is sweet.

Modeling 161

Modeling Optimization Marketing Interactive 161

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. The ability to measure results (risk-reducing evidence). Ensure a culture that supports a steady process of learning and experimentation.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. Brian Krick: Best way to measure and communicate "available demand" from available channels (social, search, display) for forecast modeling. Additionally, it is exceptionally difficult to measure available demand because 1. And to visualize it in a report.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation. As you can see from the tiny confidence intervals on the graphs, big data ensured that measurements, even in the finest slices, were precise.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

Occam's Razor

OCTOBER 23, 2006

Start with measuring these Outcomes metrics (revenue, leads, profit margins, improved product mix, number of new customers etc). Get competitive data (we are at x% of zz metric and our competition is at x+9% of zz metric). Great for a couple months and then you lose the audience. 6 Reporting is not Analysis.

Data-driven 117

Data-driven Metrics KPI Reporting 117

Occam's Razor

OCTOBER 19, 2010

You'll measure Task Completion Rate in 4Q (below). You'll measure Share of Search using Insights for Search (below). Only a plea to obsessively obsess about measuring outcomes and compute economic value, not just revenue. Mongoose Metrics ~ ifbyphone. Experimentation and Testing Tools [The "Why" – Part 1].

Analytics 135

Analytics Testing Measurement Optimization 135

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

MAY 27, 2015

In large measure that is because of the rise of programmatic buying. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues. Here's a slide from one of my recent presentations where I created a visual to represent data that came from eMarketer… Amazing, is it not?

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

Occam's Razor

JANUARY 7, 2014

7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. More on the Digital Marketing & Measurement Model, DMMM, in #2 below.). You know what your Return on Analytics is!

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

MARCH 7, 2016

Of course, measure that using the four best social media metrics !) Here's the very first newsletter I'd sent, two weeks ago, and it touched on a confusion I find common, and frustrating… TMAI #1: Metric or KPI, how do you decide? People tend to use the terms metrics and KPIs interchangeably. A good one.

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86