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

JUNE 28, 2023

As Belcorp considered the difficulties it faced, the R&D division noted it could significantly expedite time-to-market and increase productivity in its product development process if it could shorten the timeframes of the experimental and testing phases in the R&D labs.

Digital Transformation 105

Digital Transformation Cost-Benefit Informatics Data mining 105

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

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. 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 332

Management Machine Learning Experimentation Metrics 332

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. You're choosing only one metric because you want to optimize it.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

JULY 24, 2018

The universe of digital analytics is massive and can seem as complex as the cosmic universe. Even simple questions like “ How effective is our analytics strategy? Soon, your digital analytics strategic framework that you hoped would provide a true north to the analytics strategy question looks like this ….

Analytics 93

Analytics Metrics Strategy Measurement 93

Octopai

MAY 2, 2022

Data analytics ain’t what it used to be. As a data analyst, you’re no longer just providing data analytics services. You’re providing data analytics products. . Today, your business users have the same perspective on data analytics. How do they do it – and what’s the application to data analytics products?

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

FineReport

DECEMBER 11, 2019

– Lean Analytics: Use Data to Build a Better Startup Faster. – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. The big news is that we no longer need to be proficient in math or statistics, or even rely on expensive modeling software to analyze customers.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

DataRobot

JANUARY 13, 2022

Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. This frees up data scientists to focus on more complex analytical tasks. AI in Customer Analytics: Tapping Your Data for Success. Ready to unlock the secrets of your data? Download Now.

ROI 52

ROI Machine Learning Experimentation Data Science 52

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. It would access vast customer data and combine it with real-time analytics for efficient and personalized service. AGI wouldn’t just perceive its surroundings; it would understand them.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

FineReport

DECEMBER 19, 2019

For newbies, a tool with low learning difficulty but powerful analytical performance cannot be better. In addition, Jupyter Notebook is also an excellent interactive tool for data analysis and provides a convenient experimental platform for beginners. Reporting of FineReport. Dashboard of FineReport. From Google.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Domino Data Lab

JANUARY 24, 2019

This group of solutions targets code-first data scientists who use statistical programming languages and spend their days in computational notebooks (e.g., These data scientists require the flexibility to use a constantly-evolving software and hardware stack to optimize each step of their model lifecycle. Jupyter) or IDEs (e.g.,

Data Science 65

Data Science Marketing Data-driven Statistics 65

Occam's Razor

SEPTEMBER 19, 2011

We have to do Search Engine Optimization. You need people with deep skills in Scientific Method , Design of Experiments , and Statistical Analysis. The team did the normal modeling to ensure that the results were statistically significant (large enough sample set, sufficient number of conversions in each variation). *

Measurement 119

Measurement Advertising Testing Marketing 119

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

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. Also, loyalty leaders infuse analytics into CX programs, including machine learning, data science and data integration.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

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. Five Reasons Why You Should Buy Web Analytics: An Hour A Day: Web Analytics: An Hour A Day for the first time provides a Practitioner's in the trenches perspective on web analytics. There I said it.

Analytics 60

Analytics Metrics Marketing Dashboards 60

Occam's Razor

JUNE 6, 2011

I got an email the other day with this simple question: "How do break into the world of web analytics?" There is a ton of excitement about web analytics. Therein you see one way to "break into" analytics, or anything really, you have to be good!]. 1: Figure out the optimal career path for you. Why before what.

Analytics 125

Analytics Consulting Statistics Marketing 125

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Why should Chief Data & Analytics Officers care about data security?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It was not optimized to provide correct responses. But it is an amazing analytic engine.”

IT 264

IT Modeling Testing Risk 264

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. You can start for free with a superb tool: Google's Website Optimizer. ClickStream analysis with Omniture or Google Analytics or ClickTracks is well and good, testing will get you on the path of taking having a direct impact faster. So agree with me?

Testing 112

Testing Experimentation Risk Optimization 112

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Combining data from structured, semi-structured, and unstructured analytics services is very challenging, often involving programmatic or manual correlation. Innovate on serviceability and optimize utilization.

Data Warehouse 57

Data Warehouse Unstructured Data Analytics Visualization 57

Occam's Razor

MARCH 23, 2010

There are more mistruths and F U D about Web analytics out there than I think is reasonable. Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. Here are ten web analytics ground truths… 1.

Analytics 118

Analytics Consulting Metrics Experimentation 118

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.

Management 110

Management Machine Learning Experimentation Metrics 110

Occam's Razor

SEPTEMBER 13, 2016

The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. Hypothesis development and design of experimentation.

Modeling 127

Modeling Reporting Strategy Consulting 127

Occam's Razor

FEBRUARY 8, 2021

From observing behavior closely, and from my own experimentation and failure, I've noticed consistent patterns in what great employees do and great bosses do. They find the external author of the statistical algorithm I want them to use, and ask them for guidance. They are there to nudge your career in an optimal direction.

Strategy 132

Strategy Statistics Cost-Benefit Marketing 132

Occam's Razor

JANUARY 9, 2012

Here's important context (before we get into the rules for revolutionaries)… The Fundamental Web Analytics Problem Is Not Data! 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 ?

Marketing 140

Marketing B2B Measurement Risk 140

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

This post describes the analytical issues which arise in such a setting, and what the data scientist can do about them. 1]" Statistics, as a discipline, was largely developed in a small data world. 1]" Statistics, as a discipline, was largely developed in a small data world.

Experimentation 61

Experimentation Testing Statistics Metrics 61

IBM Big Data Hub

SEPTEMBER 25, 2023

But what most people don’t realize is that behind the scenes, Uber is not just a transportation service; it’s a data and analytics powerhouse. This blog takes you on a journey into the world of Uber’s analytics and the critical role that Presto, the open source SQL query engine, plays in driving their success.

OLAP 93

OLAP Data Lake Data-driven Snapshot 93