Smart Data Collective

JULY 9, 2023

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

Occam's Razor

NOVEMBER 2, 2015

Success Metrics. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). It can be a brand metric, say Likelihood to Recommend. It is not that hard.

B2B 167

B2B Metrics Recreation/Entertainment Testing 167

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. accounting for effects "orthogonal" to the randomization used in experimentation. accounting for effects "orthogonal" to the randomization used in experimentation.

Modeling 63

Modeling Experimentation Knowledge Discovery KDD 63

AWS Big Data

JANUARY 9, 2024

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches. This functionality was initially released as experimental in OpenSearch Service version 2.4, This is also called embedding the text into the vector space.

Visualization 119

Visualization Cost-Benefit Modeling Machine Learning 119

Occam's Razor

FEBRUARY 26, 2008

Use your customers and competitors to help you move the ball forward (buy a new tool, hire another analyst, kill hideous home pages, spend right amounts on SEM and SEO, publish rich media on your site, implement feedburner , or whatever else you want). 1: Implement a Experimentation & Testing Program. # 6: If All Else Fails. . #

Management 68

Management Experimentation Testing Metrics 68

Domino Data Lab

AUGUST 6, 2021

Develop: includes accessing and preparing data and algorithms, researching and development of models and experimentation. Deploy: includes validating, publishing and delivering working models into a business environment. Let’s use an example business problem to illustrate the four steps of the data science lifecycle.

Data Science 75

Data Science Testing Modeling Publishing 75

Cloudera

FEBRUARY 16, 2022

It is also possible to create your own AMP and publish it in the AMP catalogue for consumption. Support for multiple sessions within a project allows data scientists, engineers and operations teams to work independently alongside each other on experimentation, pipeline development, deployment and monitoring activities in parallel.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Sisense

MAY 18, 2021

When you discover data that means something, you need to be agile enough to make experimental changes.”. Mistake #3: Making vanity metrics your main event. When the primary focus becomes likes, retweets, follows, and comments — also known as vanity metrics — marketing efforts become less meaningful for your long-term goals.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it).

Analytics 60

Analytics Metrics Marketing Dashboards 60

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous DataOps metrics testing checks data’s validity, completeness and integrity at input and output. What DataOps best practices put you on track to achieving this ideal?

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

DataRobot Blog

FEBRUARY 15, 2023

The DataRobot AI catalog fosters collaboration by providing users a system of record for datasets, the ability to publish and share datasets with colleagues, tag datasets, and manage the lineage of the dataset throughout the entire project. This helps with getting more creative with your experimentation.

Machine Learning 52

Machine Learning Modeling Cost-Benefit Metrics 52

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. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

Experimentation 103

Experimentation Testing Optimization Marketing 103

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. In fact, this blog has published posts on this very topic. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime.

Experimentation 69

Experimentation Sales Metrics Measurement 69

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. I found a "you complete me" for my Visits metric, Bounce Rate. Or an actual outcome metric. 2: Join the PALM club.

Metrics 96

Metrics Measurement Dashboards Reporting 96

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. Your Choice? .

Data-driven 118

Data-driven Metrics KPI Reporting 118

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected.

Experimentation 62

Experimentation Testing Statistics Metrics 62

Occam's Razor

JANUARY 9, 2012

If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? Lack of loyalty shows simply re-publishing AP stories is useless. Fill it with the best web metrics to measure success.

Marketing 142

Marketing B2B Measurement Risk 142

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. In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting.

Data Science 66

Data Science Experimentation Machine Learning Data-driven 66

Occam's Razor

DECEMBER 12, 2016

What one critical metric will help you clearly measure performance for each strategy above? How will you know if the performance was a success or failure, what's the target for each critical metric? What specific strategies are you currently leveraging to accomplish aforementioned objectives? You plus Finance plus CMO.].

Analytics 142

Analytics Data-driven Strategy Consulting 142

Domino Data Lab

MAY 8, 2019

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? If you invest enough time into modeling, you can often find relatively simple models for a given problem.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

MAY 27, 2015

As all of my proceeds from the books go to charity, this passion for data has allowed me to donate $350,000 to charity since the first book was published. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues. Look at the right nav on this blog, two best selling books in 13 languages!

Marketing Analytics 155

Marketing Analytics Marketing Analytics Advertising 155

Occam's Razor

APRIL 29, 2013

Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. It is a really good metric. There are many spectacular reasons for why Like (and +1s, Followers) is a horrible metric.

Marketing 166

Marketing Metrics Advertising Measurement 166

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. often without even looking at it. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

CIO Business Intelligence

OCTOBER 10, 2024

Still, a 30% failure rate represents a huge amount of time and money, given how widespread AI experimentation is today. An EY survey published in July found 95% of senior executives saying their organizations were currently investing in AI. When a project is tied to a business goal, employees may be more likely to embrace it.

ROI 135

ROI Experimentation Cost-Benefit Metrics 135

Occam's Razor

MARCH 7, 2016

Of course, measure that using the four best social media metrics !) I do not plan to publish the newsletters anywhere (no web versions, not even an archive), to allow for more openness and intimacy. People tend to use the terms metrics and KPIs interchangeably. Bounce rate , a number I'm fond of, is a metric.

Marketing Analytics 88

Marketing Analytics Marketing Analytics KPI 88

O'Reilly on Data

MAY 11, 2020

Infinite Jest was published in 1996, just as the modern Web was coming into being. It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics.

Modeling 300

Modeling Advertising Recreation/Entertainment Metrics 300