Domino Data Lab

SEPTEMBER 10, 2020

This means many projects get stuck in endless research and experimentation. A concise goal (“I want to save costs by optimizing my store staffing roster”) is much more likely to lead to a successful initiative than a broad statement (“I want to increase revenue in my retail stores”). Identify metrics that measure this variability.

Modeling 101

Modeling IT Data Science Experimentation 101

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 101

Experimentation Testing Optimization Marketing 101

CIO Business Intelligence

DECEMBER 14, 2023

Reining in the rugged and remote Through rapid cycles of discovery and experimentation, Mathur and De Bernardi’s cross-functional team devised a solution that leaned heavily on additive manufacturing, more commonly known as “3D printing.” These early wins are reason for optimism.

Manufacturing 73

Manufacturing Digital Transformation Experimentation Cost-Benefit 73

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers.

Experimentation 103

Experimentation Testing Optimization Measurement 103

AWS Big Data

NOVEMBER 2, 2023

Solution overview GoDaddy’s intelligent compute platform envisions simplification of compute operations for all personas, without limiting power users, to ensure out-of-box cost and performance optimization for data and ML workloads. Gather relevant metrics from the tests. In another instance, we achieved an impressive 43.7%

Cost-Benefit 87

Cost-Benefit Big Data Testing Optimization 87

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

Cloudera

APRIL 9, 2021

To effectively leverage their predictive capabilities and maximize time-to-value these companies need an ML infrastructure that allows them to quickly move models from data pipelines, to experimentation and into the business. Here are the key stages: . Data Collection – streaming data. Data Enrichment – data engineering. The ML Challenge.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

DataRobot Blog

JULY 28, 2022

Of course, finding a compromise is necessary to a certain degree, but rather than simply compromising, finding the optimal solution within that trade-off is the key to creating maximum business value. As a DataRobot data scientist , I have worked with team members on a variety of projects to improve the business value of our customers.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Occam's Razor

MARCH 23, 2021

Data Warehousing. And, a thousand other silos (depending on your company size). One outcome of this reality is that while every team works hard to do their very best work, it is rare that they earn strategic influence from their work. That’s not really surprising, if your view of your scope is narrow… Your impact will be narrow as well.

Analytics 131

Analytics Scorecard Strategy Testing 131

Occam's Razor

MAY 15, 2006

There is a lot of "buzz" around "buzzy" metrics such as brand value / brand impact, blog-pulse , to name a couple. IMHO these "buzzy" metrics might be a sub optimal use of time/resources if we don't first have a hard core understanding of customer satisfaction and task completion on our websites.

Metrics 100

Metrics Experimentation Testing Interactive 100

Occam's Razor

OCTOBER 21, 2013

As an analyst, I was upset that this change would hurt my ability to analyze the effectiveness of my beloved search engine optimization (SEO) efforts – which are really all about finding the right users using optimal content strategies. These changes impact my AdWords spend sub-optimally. What Is Not Going Away.

Optimization 154

Optimization Reporting Experimentation Metrics 154

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. Just-in-Time” manufacturing increases production while optimizing resources.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

CIO Business Intelligence

MARCH 21, 2022

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Data scientist job description. Get the latest insights by signing up for our newsletters. ]

Unstructured Data 132

Unstructured Data Data Analytics Analytics Structured Data 132

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. This is essentially the same as finding a truly useful objective to optimize. accounting for effects "orthogonal" to the randomization used in experimentation.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

DataRobot Blog

JANUARY 10, 2023

Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. By predicting which patients are at risk of readmission before they are discharged, doctors can follow appropriate medical procedures to prevent readmission, optimize costs, and enhance the quality of treatment. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

JUNE 27, 2022

Tyson: You’re coming up to two years since you added Sentry’s ability to monitor for performance which has some pretty fine-grained metrics in terms of identifying where bottlenecks are located in code. It was easier for me to build Sentry in open source than to try to make an existing product work. Do you still code as a CTO?

Software 96

Software Experimentation Testing Marketing 96

Cloudera

FEBRUARY 16, 2022

While it is a little dated, one amusing example that has been the source of countless internet memes is the famous, “is this a chihuahua or a muffin?” classification problem. Figure 01: Is this a chihuahua or a muffin? In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Model Explainability.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Build A Great Web Experimentation & Testing Program.

KPI 124

KPI Metrics Measurement ROI 124

CIO Business Intelligence

MAY 1, 2024

Pilots can offer value beyond just experimentation, of course. McKinsey reports that industrial design teams using LLM-powered summaries of user research and AI-generated images for ideation and experimentation sometimes see a reduction upward of 70% in product development cycle times.

Cost-Benefit 138

Cost-Benefit Metrics Insurance Measurement 138

O'Reilly on Data

MAY 14, 2020

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

Management 363

Management Experimentation B2B Machine Learning 363

Business Over Broadway

MAY 22, 2019

According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT. Using Customer Journey Orchestration and AI to Optimize Customer Experience: [link]. IoT Artificial Intelligence.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

datapine

FEBRUARY 4, 2020

Let’s face it: every serious business that wants to generate leads and revenue needs to have a marketing strategy that will help them in their quest for profit. Ultimately, it will provide a clear insight into relevant KPIs and build a solid foundation for increasing conversions. How do you know that? Or drastically change for another path?

Reporting 280

Reporting Marketing Advertising Metrics 280

datapine

MAY 20, 2020

With a powerful dashboard maker , each point of your customer relations can be optimized to maximize your performance while bringing various additional benefits to the picture. To inspire your customer relationship management report for managing your metrics, explore our cutting-edge selection of KPI examples. Follow-Up Contact Rate.

Dashboards 265

Dashboards Reporting KPI Visualization 265

Occam's Razor

SEPTEMBER 15, 2014

Company UX leaders are happy to stink less by taking the sub-optimal path of responsive design, rather than create a mobile-unique experience (your customers tend to do different things on your desktop site than your mobile site!). Media-Mix Modeling/Experimentation. Still, let me try to surprise you. Many reasons. Our mobile websites.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

NOVEMBER 13, 2009

Chapter 2 The Optimal Strategy for Choosing Your Web Analytics Soul Mate. Chapter 3 The Awesome World of Clickstream Analysis: Metrics. The second half shows exactly how to pick the best metrics for your org and, my absolute favorite (Page 64), how to diagnose the root cause of a metrics performance. A good thing.

Analytics 71

Analytics Metrics Measurement Testing 71

Occam's Razor

JULY 18, 2011

To not have it as an active part of your marketing portfolio is sub-optimal. To not have it as an active part of your marketing portfolio is sub-optimal. You must use metrics that are unique to the medium. Ready for the best email marketing campaign metrics? Optimal Acquisition Email Metrics.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

Occam's Razor

FEBRUARY 26, 2008

1: Implement a Experimentation & Testing Program. # 1: Implement a Experimentation & Testing Program. The Google Website Optimizer is free ! Experimentation and Testing: A Primer. Build A Great Web Experimentation & Testing Program. # " Or one of many such variations. We have tried but failed.

Management 68

Management Experimentation Testing Strategy 68

Occam's Razor

DECEMBER 9, 2009

It is rare for me to work with a organization where the root cause for their faith based decision making (rather than data driven) was not the org structure. It is almost never tools. Not any more. Surprisingly it is often not their will to use data, that is there in many cases. Sometimes it is that they don't follow the 10/90 rule.

Analytics 95

Analytics Data-driven Marketing Sales 95

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. It should be noted that inverse probability weighting is not generally optimal (i.e., This is often referred to as the positivity assumption. Clearly, $b(x)=x$ is a balancing score.

Statistics 44

Statistics Optimization Modeling Experimentation 44

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. GitHub first launched its copilot in 2021 , and Microsoft 365 Copilot became generally available a few months ago.

Cost-Benefit 112

Cost-Benefit Advertising Experimentation Software 112

Occam's Razor

NOVEMBER 12, 2006

And no that is not Visits or Total Visitors in the denominator, for my perspective on why that is sub-optimal click here and read the part about Why use Unique Visitors.]. Even though we should not obsess about conversion rate we do. Another reason is that we over estimate what is possible. For exhaustive details click here.

Measurement 99

Measurement Analytics Optimization Marketing 99

DataKitchen

APRIL 13, 2021

Observe, optimize, and scale enterprise data pipelines. . To date, we count over 100 companies in the DataOps ecosystem. However, the rush to rebrand existing products with a DataOps message has created some marketplace confusion. Because it is such a new category, both overly narrow and overly broad definitions of DataOps abound.

Testing 300

Testing Machine Learning Consulting Data Quality 300

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). What's the optimal organization structure (and who should own web analytics!)? There I said it.

Analytics 60

Analytics Metrics Marketing Dashboards 60

DataRobot Blog

SEPTEMBER 30, 2022

By tracking service, drift, prediction data, training data, and custom metrics, you can keep your models and predictions relevant in a fast-changing world. Adoption of AI/ML is maturing from experimentation to deployment. Model Observability can help. Model Observability Features. Manage Unpredictability in Active Deployments.

Slice and Dice 52

Slice and Dice Modeling Metrics Experimentation 52

The Unofficial Google Data Science Blog

APRIL 16, 2019

by MICHAEL FORTE Large-scale live experimentation is a big part of online product development. This means a small and growing product has to use experimentation differently and very carefully. This blog post is about experimentation in this regime. Such decisions involve an actual hypothesis test on specific metrics (e.g.

Experimentation 68

Experimentation Sales Metrics Measurement 68

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. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges.

Management 110

Management Machine Learning Experimentation Metrics 110

AWS Big Data

JULY 20, 2023

The Orca Platform is powered by a state-of-the-art anomaly detection system that uses cutting-edge ML algorithms and big data capabilities to detect potential security threats and alert customers in real time, ensuring maximum security for their cloud environment. Why did Orca build a data lake? Why did Orca choose Apache Iceberg?

Data Lake 85

Data Lake Analytics Snapshot Optimization 85