Occam's Razor

APRIL 8, 2013

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. This should not be news to you. But it is not routine.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

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 74

Optimization Data Analytics Analytics Data-driven 74

CIO Business Intelligence

APRIL 2, 2024

Joanne Friedman, PhD, CEO, and principal of smart manufacturing at Connektedminds, says orchestrating success in digital transformation requires a symphony of integration across disciplines : “CIOs face the challenge of harmonizing diverse disciplines like design thinking, product management, agile methodologies, and data science experimentation.

Management 126

Management Digital Transformation Testing Experimentation 126

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

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

IBM Big Data Hub

MAY 17, 2024

Organizations face increased pressure to move to the cloud in a world of real-time metrics, microservices and APIs, all of which benefit from the flexibility and scalability of cloud computing. ” This quandary often comes with an accompanying worry: “Are we spending too much money on cloud computing?” Why move to cloud?

Modeling 73

Modeling Cost-Benefit Optimization Digital Transformation 73

O'Reilly on Data

MARCH 31, 2020

This has serious implications for software testing, versioning, deployment, and other core development processes. If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). Why AI software development is different.

Management 332

Management Machine Learning Experimentation Metrics 332

datapine

MAY 20, 2020

To inspire your customer relationship management report for managing your metrics, explore our cutting-edge selection of KPI examples. At its core, CRM dashboard software is a smart vessel for data analytics and business intelligence – digital innovation that hosts a wealth of insightful CRM reports. Primary KPIs: Lead Response Time.

Dashboards 265

Dashboards Reporting KPI Visualization 265

O'Reilly on Data

OCTOBER 13, 2020

In Bringing an AI Product to Market , we distinguished the debugging phase of product development from pre-deployment evaluation and testing. During testing and evaluation, application performance is important, but not critical to success. Debugging AI Products. Proper AI product monitoring is essential to this outcome. I/O validation.

Management 244

Management Metrics Machine Learning Modeling 244

Occam's Razor

SEPTEMBER 15, 2014

They will need two different implementations, it is quite likely that you will end up with two sets of metrics (more people focused for mobile apps, more visit focused for sites). Media-Mix Modeling/Experimentation. Still, let me try to surprise you. Here's a graph that shows how US adults consume media, it shows time in hours.

Metrics 141

Metrics Reporting Analytics Marketing 141

DataKitchen

OCTOBER 5, 2021

DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. We find it helpful to think of data operations as a factory. Most organizations run the data factory using manual labor. What is DataOps. Low error rates. Collaboration across complex sets of people, technology and environments.

Testing 152

Testing Dashboards Measurement Experimentation 152

Occam's Razor

JULY 18, 2011

You must use metrics that are unique to the medium. Ready for the best email marketing campaign metrics? So for our email campaign analysis let’s look at metrics using that framework. Optimal Acquisition Email Metrics. Allow me to rush and point out that this metric is usually just directionally accurate.

Metrics 137

Metrics Marketing Measurement Cost-Benefit 137

CIO Business Intelligence

FEBRUARY 21, 2024

We developed a model to predict student outcomes based on metrics from historical evidence,” he says. “We But their commitment is becoming more demanding and complex as AI, in its many applications, rises to the top of the syllabus. As FSU CIO Jonathan Fozard points out, universities have more than just classrooms and residence halls.

Recreation/Entertainment 131

Recreation/Entertainment Experimentation Modeling Data-driven 131

CIO Business Intelligence

NOVEMBER 13, 2023

Transformational leaders must ensure their organizations have the expertise to integrate new technologies effectively and the follow-through to test and troubleshoot thoroughly before going live. Without a clear understanding of what their digital transformation should achieve, it’s easy for companies to get lost in the weeds.

Digital Transformation 142

Digital Transformation Cost-Benefit Experimentation Measurement 142

Corinium

JUNE 6, 2019

Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. It is also important to have a strong test and learn culture to encourage rapid experimentation. What is the most common mistake people make around data?

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

AUGUST 21, 2023

It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space. Amazon OpenSearch Service has long supported both lexical and vector search, since the introduction of its kNN plugin in 2020. OpenSearch Service supports a variety of search and relevance ranking techniques.

Data Processing 90

Data Processing Experimentation Visualization Metrics 90

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. Just don't fall for their bashing of all other vendors or their silly claims, false, of "superiority" in terms of running 19 billion combinations of tests or the bonus feature of helping you into your underwear each morning. And I meant every word of it.

Testing 112

Testing Experimentation Risk Optimization 112

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence. Your Chance: Want to try a professional BI analytics software? Let’s see it with a real-world example.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataKitchen

JANUARY 17, 2022

Testing and validating analytics took as long or longer than creating the analytics. The business analysts creating analytics use the process hub to calculate metrics, segment/filter lists, perform predictive modeling, “what if” analysis and other experimentation. QC is extraordinarily time-consuming unless it is automated.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

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

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

AWS Big Data

NOVEMBER 2, 2023

AWS benchmark The AWS team performed benchmark tests on Spark workloads with Graviton2 on EMR Serverless using the TPC-DS 3 TB scale performance benchmarks. GoDaddy benchmark During our initial experimentation, we observed that arm64 on EMR Serverless consistently outperformed or performed on par with x86_64.

Cost-Benefit 87

Cost-Benefit Big Data Testing Optimization 87

AWS Big Data

MAY 2, 2023

If your updates to a dataset triggers multiple subsequent DAGs, then you can use the Airflow metric max_active_tasks_per_dag to control the parallelism of the consumer DAG and reduce the chance of overloading the system. Test the feature To test this feature, run the producer DAG. Removal of experimental Smart Sensors.

Testing 100

Testing Experimentation Management Metadata 100

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

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 turns out that Marketers, especially Digital Marketers, make really silly mistakes when it comes to data. Small data.

Marketing 166

Marketing Metrics Advertising Measurement 166

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 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. We are pleased to announce the preview release of the vector engine for Amazon OpenSearch Serverless.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. SPC is the continuous testing of the results of automated manufacturing processes. SPC tests can do the same thing for the data flowing through your pipelines.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

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. AI surpassed other technologies in conversations about innovation The research underscores that AI is leading the way in accelerating innovation.

Advertising 94

Advertising Recreation/Entertainment Experimentation Enterprise 94

DataRobot

JUNE 10, 2021

Traditionally, experimentation and observation was the only way to understand the physical-chemical properties of the molecule. DataRobot also provides per-label metrics so that metrics per class can be compared. Below are the per-label metrics provided by DataRobot for model evaluation purposes.

Metrics 52

Metrics Machine Learning Visualization Experimentation 52

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. Yet when we use these tools to explore data and look for anomalies or interesting features, we are implicitly formulating and testing hypotheses after we have observed the outcomes.

Experimentation 61

Experimentation Testing Statistics Metrics 61

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

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. A new drug promising to reduce the risk of heart attack was tested with two groups. This kind of analysis, in most cases, can lead to insights that can be later translated to business actions.

Testing 104

Testing Risk Data-driven Statistics 104

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

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

Domino Data Lab

AUGUST 6, 2021

Develop: includes accessing and preparing data and algorithms, researching and development of models and experimentation. Develop: includes accessing and preparing data and algorithms, researching and development of models and experimentation. 4 Steps in the DSLC. Identify the Problem. No solution can predate a problem. Access Data.

Data Science 75

Data Science Testing Modeling Publishing 75

Occam's Razor

NOVEMBER 2, 2015

Higher Order Bits: Human vs. Business, Success KPIs, S-T-D-C Framework, MoR Test. Success Metrics. Instagram allows you to express your creativity, and soak up expressions from others. Twitter, Pinterest, Google+, others have a role to play as well. Humans, check. But, what about businesses? Companies small and big? We are only human.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167