CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Advertising 102

Advertising Recreation/Entertainment Experimentation Enterprise 102

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. Measure success. Process measurement – construct dashboards on every aspect of the data lifecycle for unprecedented process transparency. Low error rates.

Testing 157

Testing Dashboards Measurement Experimentation 157

IBM Big Data Hub

MARCH 4, 2024

An AI+ enterprise excels in delivering innovative AI applications to its customers and modernizing existing applications to meet the new demands AI presents. This culture encourages experimentation and expertise growth. This often leads to a disappointing experience due to slow response times.

Enterprise 108

Enterprise ROI Risk Strategy 108

AWS Big Data

NOVEMBER 2, 2023

The combination of EMR Serverless and Graviton2 presents an exciting opportunity to enhance the data processing capabilities and drive efficiency in our operations. GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64. HCatalog 3.1.3

Cost-Benefit 87

Cost-Benefit Big Data Testing Optimization 87

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. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

Experimentation 41

Experimentation Statistics Metrics Measurement 41

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. Ultimately, the evaluation is based on whether or not the model delivers success to the customers’ business.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

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 61

Modeling Experimentation Knowledge Discovery Testing 61

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

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

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch presented “ Product Management for AI ” at Rev. 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. Session Summary.

Management 110

Management Machine Learning Experimentation Metrics 110

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

Sisense

JANUARY 21, 2020

One of the simplest ways to start exploring your data is to aggregate the metrics you are interested in by their relevant dimensions. This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined.

Testing 104

Testing Risk Data-driven Statistics 104

Occam's Razor

JULY 26, 2010

If today you are a content site that is only focused on measuring content consumed try to go deeper to understanding CPA of the ads or Visitor Loyalty. PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Never ever never never never ever present any metric all by itself.

Metrics 96

Metrics Measurement Dashboards Reporting 96

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. Real-time streaming data technologies are essential for digital transformation.

IoT 56

IoT Data-driven Data Lake Data Strategy 56

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

In this post, we discuss three types of uncertainty: Statistical uncertainty : the gap between the estimand , the unobserved property of the population we wish to measure, and an estimate of it from observed data. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

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 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

JANUARY 7, 2014

The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. They are generic mash-ups that tailor to almost no one's needs, and more often than not contain awful things like nine not-really-thought out metrics for one dimension in a report. You know what your Return on Analytics is!

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). It has simply not had a break to catch a breath and mature. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

DECEMBER 12, 2016

In a world when your work will never be done, how do you assess that the core things necessary are present? What guarantees that agility and innovation are present in your analytics practice? My answer was: " Look for these two elements, if they are present then it is worth helping the company with free consulting and analysis.

Analytics 141

Analytics Data-driven Strategy Consulting 141

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. 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. It is not that hard.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

The Unofficial Google Data Science Blog

MAY 31, 2016

It is important that we can measure the effect of these offline conversions as well. Panel studies make it possible to measure user behavior along with the exposure to ads and other online elements. However, meaningful insights require a representative panel or an analysis that corrects for the sampling bias that may be present.

Advertising 42

Advertising Testing Sales Statistics 42

Occam's Razor

NOVEMBER 5, 2007

The big concept was Multiplicity and it was presented by Guy Creese (then Research Director for Aberdeen Group). Let's fast forward to the present (an amazing four years later!). I have already presented my mental model for Web Analytics 2.0. It was totally worth it.

Analytics 98

Analytics Experimentation Metrics Measurement 98

Occam's Razor

JANUARY 9, 2012

It is a lot easier to predict the present. Rather, I'm going to share a clump of realities/rules garnered from the present to help ready you for the predictable near future. Most companies are astonishingly blasé about data and possibilities of measurement. So I'm not going to do that. One of my biggest learnings?

Marketing 140

Marketing B2B Measurement Risk 140

Domino Data Lab

MAY 8, 2019

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Stanford professor Chris Ré presented “ Software 2.0

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

OCTOBER 23, 2006

The title of my presentation at the Washington DC Emetrics summit was: Creating a Data Driven Web Decision Making Culture – Lessons, Tips, Insights from a Practitioner. Start with measuring these Outcomes metrics (revenue, leads, profit margins, improved product mix, number of new customers etc). Your Choice? .

Data-driven 117

Data-driven Metrics KPI Reporting 117

Occam's Razor

OCTOBER 21, 2013

The reason I love the above view is that for each channel, I'm able to present our management team a simple, yet powerful, understanding of the contribution of our marketing channels – including search. And of course our Acquisition, Behavior, Outcome metrics. Controlled experimentation. See Page Value there?

Optimization 154

Optimization Reporting Experimentation Metrics 154

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 Data-driven Machine Learning 66

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. If you see a value greater than one, that channel has a propensity to be present earlier in the conversion cycle. Test that hypothesis using a percent of your budget and measure results.

Modeling 161

Modeling Optimization Marketing Interactive 161

Occam's Razor

OCTOBER 19, 2010

First presented at an eMetrics summit in 2005 the 10/90 rule was borne out of my observations of why most companies fail miserably at web analytics. You'll measure Task Completion Rate in 4Q (below). You'll measure Share of Search using Insights for Search (below). Mongoose Metrics ~ ifbyphone. The 10/90 Rule!

Analytics 135

Analytics Testing Measurement Optimization 135

Darkhorse

NOVEMBER 8, 2016

Many charting taxonomies include distributions, but they only present a few options. Choosing the right number of bins can have an impact on how any of these charts look, but a bit of experimentation usually leads to a reasonable answer. FlowingData has given us 9 ways to visualize proportions and 11 ways for changes over time.

Visualization 72

Visualization Experimentation Measurement Statistics 72

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. That’s why we will present annual, monthly, weekly, daily and digital marketing reports that you can use for your own promotional activities and upscale your marketing efforts. Structure your metrics.

Reporting 280

Reporting Marketing Advertising Metrics 280

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. Present this: Today: Visits 30k.

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

MAY 27, 2015

Because, I'm sure like you, I'm humbled by the immense opportunity digital presents. Apps are the past, present, future. 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. My hope is that 1.

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153

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. # Be it for in vogue metrics like Conversion Rates or for metrics that should be in vogue like Abandonment Rates.

Management 68

Management Experimentation Testing Strategy 68

CIO Business Intelligence

APRIL 18, 2022

Tech leaders “should have a common language that clearly defines their company’s digital imperatives, with related value measures, that allows the organization to align on strategy across the C-suite and to communicate the strategic value they hope to achieve from it,” Nanda says. They invest in cloud experimentation.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

Domino Data Lab

AUGUST 26, 2019

To support the iterative and experimental nature of industry work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt the “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. algorithm leaf_size metric metric_params n_jobs n_neighbors p weights.

Testing 79

Testing Modeling Machine Learning Metrics 79

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. Experimentation & Testing (A/B, Multivariate, you name it). In 480 pages the book goes from from beginner's basics to a advanced analytics concepts. Clicks and outcomes.

Analytics 60

Analytics Metrics Marketing Dashboards 60