datapine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. Why Is Business Intelligence So Important?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataKitchen

JANUARY 20, 2021

Centralizing analytics brings it under control but granting analysts free reign is necessary to foster innovation and stay competitive. Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Develop/execute regression testing . Agile ticketing/Kanban tools. Product monitoring.

Metrics 243

Metrics Experimentation Measurement Testing 243

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Process Analytics. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Smart Data Collective

JULY 9, 2023

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. Experimentation is the key to finding the highest-yielding version of your website elements.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

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. What are you measuring?

Cost-Benefit 135

Cost-Benefit Metrics Insurance Measurement 135

DataKitchen

OCTOBER 5, 2021

A DataOps Engineer owns the assembly line that’s used to build a data and analytic product. That’s the state of data analytics today. . Where are the data engineers, scientists and analytics? DataOps enables: Rapid experimentation and innovation for the fastest delivery of new insights to customers. Low error rates.

Testing 152

Testing Dashboards Measurement Experimentation 152

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

Cloudera

MARCH 2, 2022

Apache Impala is used today by over 1,000 customers to power their analytics in on premise as well as cloud-based deployments. Analytical SQL workloads use aggregates and joins heavily. Hence, optimizing such operators for both performance and efficiency in analytical engines like Impala can be very beneficial. Microbenchmark.

Data Warehouse 88

Data Warehouse Optimization Analytics Sales 88

Occam's Razor

SEPTEMBER 19, 2011

This: You understand all the environmental variables currently in play, you carefully choose more than one group of "like type" subjects, you expose them to a different mix of media, measure differences in outcomes, prove / disprove your hypothesis (DO FACEBOOK NOW!!!), The nice thing is that you can also test that!

Measurement 119

Measurement Advertising Testing Marketing 119

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. But it is not routine. So, how do we fix this problem? Form a hypothesis.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

CIO Business Intelligence

AUGUST 25, 2023

In this conversation with Foundry, Mitali discusses the accelerated importance of technology in healthcare, on enabling healthcare providers with data and why her team isn’t afraid of experimentation. Can you discuss the opportunities and challenges of data and analytics to transform the healthcare industry?

Experimentation 82

Experimentation Digital Transformation Technology Measurement 82

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 91

Cost-Benefit Big Data Testing Optimization 91

O'Reilly on Data

MARCH 31, 2020

This has serious implications for software testing, versioning, deployment, and other core development processes. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

Management 327

Management Machine Learning Experimentation Metrics 327

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Then approach each separately (even though there are tools like Google Analytics that will do both).

Metrics 141

Metrics Reporting Analytics Marketing 141

Smart Data Collective

FEBRUARY 4, 2020

Phase 0 is the first to involve human testing. Phase I involves dialing-in the proper dosage and further testing in a larger patient pool. Harrison (Chief Scientific Officer at Clarivate Analytics) found that: Almost half of new Phase II drugs are rejected because they do not demonstrate effectiveness against the targeted condition.

Experimentation 100

Experimentation Testing Modeling Strategy 100

AWS Big Data

AUGUST 21, 2023

In particular, our experimentation shows that hybrid search, combining lexical and vector approaches, typically results in a 15% improvement in search result quality over lexical or vector search alone on industry-standard test sets, as measured by the NDCG@10 metric (Normalized Discounted Cumulative Gain in the first 10 results).

Data Processing 94

Data Processing Experimentation Visualization Metrics 94

bridgei2i

APRIL 28, 2020

Episode 2: How Data & Analytics Can Help in a Downturn. How Data & Analytics Can Help in a Downturn. Despite the downturn in the market, Doug explains that enterprises should focus on data and analytics investments. And obviously, such times call for truly unprecedented measures. Listening time: 13 minutes.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

CIO Business Intelligence

APRIL 18, 2022

While it’s critical for tech leaders to communicate throughout a digital project, it’s also important to communicate appropriately, says Rich Nanda, US strategy and analytics offerings leader, at Deloitte Consulting. Rich Nanda, US strategy and analytics offerings leader, Deloitte Consulting. They invest in cloud experimentation.

Digital Transformation 145

Digital Transformation Dashboards Cost-Benefit Consulting 145

Occam's Razor

MARCH 23, 2010

There are more mistruths and F U D about Web analytics out there than I think is reasonable. Web Analytics, this beautiful child, was born just the other day in the midst of tumultuous times, quite literally, when everything changes every day. Here are ten web analytics ground truths… 1. Part of it fueled by Vendors.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. This reality powers my impostor syndrome, and (yet?)

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Occam's Razor

OCTOBER 19, 2010

What is the first thing you want when you think about web analytics? recommending tools for the complete web analytics 2.0 Disclosure:] I am the co-Founder of Market Motive Inc and the Analytics Evangelist for Google. Web Analytics 2.0. This blog post is about web analytics 2.0. Of course tools. Don't be.

Analytics 135

Analytics Testing Measurement Optimization 135

Sisense

JANUARY 21, 2020

Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. A new drug promising to reduce the risk of heart attack was tested with two groups. They measured both the blood pressure of the participants and if they had a heart attack or not. It really depends on the circumstances.

Testing 104

Testing Risk Data-driven Statistics 104

Occam's Razor

NOVEMBER 12, 2006

Mostly because short term goals drive a lot of what we do and if you are selling something on your website then it only seems to make logical sense that we measure conversion rate and get it up as high as we can as fast as we can. So measure Bounce Rate of your website. Even though we should not obsess about conversion rate we do.

Measurement 99

Measurement Analytics Optimization Marketing 99

CIO Business Intelligence

FEBRUARY 21, 2023

For Heineken’s global CIO Ing Yan Ong, the journey to keep a historic beer brand relevant starts with simplifying ERP, adopting agile methodologies and rethinking customer and supplier relationships in an age of digital analytics and personalized communications. There’s also a growing emphasis on improving team performance.

Digital Transformation 89

Digital Transformation Sales Experimentation Optimization 89

Occam's Razor

APRIL 29, 2013

You end up paying substantial amounts of money to your analytics/big data vendor – for questionable value. You measure bounce rate and you can find those things, then figure out if the problem is at the source (ads) or destination (your site). Because Likes (and +1s, Followers) measure a fleeting Hello. Bad ad creatives.

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

AUGUST 22, 2011

Here you'll find all my blog posts categorized into a structure that will hopefully make it easy for you to discover new content, find answers to your questions, or simply wallow in some excellent analytics narratives. " ~ Digital Analytics: "Am I thinking right? How To Excite People About Web Analytics: Five Tips.

KPI 124

KPI Metrics Measurement ROI 124

AWS Big Data

JANUARY 9, 2024

This functionality was initially released as experimental in OpenSearch Service version 2.4, Hybrid search, the combination of the two methods, gives 14% higher search relevancy (as measured by NDCG@10—a measure of ranking quality) than BM25 alone, so customers want to use hybrid search to get the best of both.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

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. Learn how to safeguard data and comply with changing laws, regulations, and operational requirements in Measuring Enterprise Information Governance Maturity.

Advertising 80

Advertising Recreation/Entertainment Experimentation Enterprise 80

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. Companies that succeed at machine learning tend to build on those existing analytics use cases. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

AUGUST 6, 2021

The process of doing data science is about learning from experimentation failures, but inadvertent errors can create enormous risks in model implementation. Outputs for a new problem might not be consistent with the model’s original intent for a different problem without careful research and testing. Model implementation.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Occam's Razor

AUGUST 23, 2010

Every believer in Web Analytics 2.0 What comes from Google Analytics, Adobe Site Catalyst, WebTrends, CoreInsight / NetMetrics and more. Why comes from lab usability studies , website surveys , "follow me home" exercises, experimentation & testing , and other such delightful endeavors. Get everyone involved!

Analytics 116

Analytics Cost-Benefit Testing Optimization 116

Alation

SEPTEMBER 28, 2022

The term has been used a lot more of late, especially in the data analytics industry, as we’ve seen it expand over the past few years to keep pace with new regulations, like the GDPR and CCPA. Automated testing to ensure data quality. What exactly is DataOps ? Easy-to-experiment data development environment.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Domino Data Lab

DECEMBER 4, 2020

PharmaceUtical Modeling And Simulation (or PUMAS) is a suite of tools to perform quantitative analytics for pharmaceutical drug development [2]. The framework can facilitate a wide range of analytics task, including but not limited to: Non-compartmental Analysis. Specification of Nonlinear Mixed Effects (NLME) Models. and 3 to 8 hours.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

O'Reilly on Data

MARCH 23, 2023

Tokens ChatGPT’s sense of “context”—the amount of text that it considers when it’s in conversation—is measured in “tokens,” which are also used for billing. It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. But it is an amazing analytic engine.”

IT 258

IT Modeling Testing Risk 258

Occam's Razor

NOVEMBER 13, 2009

I am absolutely thrilled that my book Web Analytics 2.0 I only had one job, at Intuit, when I wrote my first web analytics book. The Pitch: I invite you to consider buying my second web analytics book. It is not just a business book, though every dna strand in this book is more about online marketing than online analytics.

Analytics 71

Analytics Metrics Measurement Testing 71

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. This personalized approach might lead to more effective therapies with fewer side effects.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

Occam's Razor

FEBRUARY 7, 2011

Nose to the grind "How do I" questions: David Walizer: How do you sell the value of web analytics to a skeptical client in 30 seconds or less? By doing multichannel analytics! More detail on those techniques, and three more, are in this blog post: Multichannel Analytics: Tracking Offline Conversions. Let's go!

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94