Occam's Razor

JUNE 4, 2018

Bonus: The best computation of conversion rate is orders divided by users (the default in your analytics tool is sessions). Go to the Multi-Channel Funnels folder in Google analytics and look at two other yummy reports: Time Lag and Path Length. Such is the case with A/B testing. This will bring your conversion rate up (yea!!).

Strategy 124

Strategy Cost-Benefit Testing Sales 124

Occam's Razor

APRIL 25, 2011

Now switching to something a bit more near and dear to my heart, analytics "crimes against humanity" 8. " I'd postulated this rule in 2005, it is even more true in 2011. Web Analytics, 4Q, KissInsights, Insights for Search, AdPlanner, and all the other glorious free tools. The 10/90 rule. People matter.

Marketing 126

Marketing Measurement Metrics Testing 126

Occam's Razor

OCTOBER 21, 2013

In late 2011, Google announced an effort to make search behavior more secure. Following revelations of NSA activities via Mr. Snowden, Google has now switched almost all users to secure search, resulting in even more user search queries showing up as not provided in all web analytics tools. No keyword data in analytics tools.

Optimization 154

Optimization Reporting Experimentation Metrics 154

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Occam's Razor

SEPTEMBER 24, 2012

It is possible to get good test and control groups (type of population, existing brand awareness, market penetration, competitive structures) for our experiments. But if you read it, I promise, you'll see Facebook marketing, advertising and analytics in a completely new light. Let's go! That is ok. That is how!

Advertising 165

Advertising ROI Metrics Marketing 165

Domino Data Lab

APRIL 3, 2019

Fun fact: in 2011 Google bought remnants of what had previously been Motorola. data to train and test models poses new challenges: The need for reproducibility in analytics workflows becomes more acute. So much data is flowing through the other parts, but that’s not the concern of DG solutions.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

IBM Big Data Hub

MARCH 25, 2022

We founded MemSQL (the original name of SingleStore) in 2011. Around 2011, we worked with a hot gaming company with a real-time analytics use case to understand what their users were doing in the moment to optimize the gaming experience by monitoring how users interacted with the game.

Data-driven 70

Data-driven Data Warehouse Data Processing Marketing 70

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. Today's post comes from a source of deep pain.

Modeling 127

Modeling Reporting Strategy Consulting 127

BizAcuity

MAY 10, 2022

2011: IBM enters the cloud market with IBM SmartCloud. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. BizAcuity is an Atlanta-based data analytics, consulting and strategy company specializing in enterprise-level Data Engineering, Advanced Analytics and Business Intelligence.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Occam's Razor

FEBRUARY 22, 2010

Competitive intelligence, the "what else", is one of the core tenets of Web Analytics 2.0. Feel better? : ) When should you start doing paid search advertising for tours to Italy for 2011? 5: Benchmarks from Web Analytics Vendors. Web analytics vendors have lots of customers, which means they have lots of data.

Metrics 123

Metrics Advertising Reporting Software 123

Smart Data Collective

JUNE 6, 2021

The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery. Before diving into whether or not Google BigQuery is the future of big data analytics, it’s vital to firstly understand what “big data analytics” actually means. What is big data?

Big Data 132

Big Data Data Analytics Analytics Cost-Benefit 132

Domino Data Lab

MARCH 3, 2019

Evolving Data Infrastructure: Tools and Best Practices for Advanced Analytics and AI (Jan 2019). I’m here mostly to provide McLuhan quotes and test the patience of our copy editors with hella Californian colloquialisms. AI Adoption in the Enterprise: How Companies Are Planning and Prioritizing AI Projects in Practice (Feb 2019).

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

The Unofficial Google Data Science Blog

JULY 18, 2023

It then goes on to show how a new framework called cross-replication reliability (xRR) implements these concepts and how several different analytical techniques implement this framework. While it may be a little abstract, this concept forms a key piece of Classical Test Theory (CTT) , a foundation of psychometrics.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Domino Data Lab

JULY 9, 2019

The importance of data scientists having analytical technical skills coupled with the ability to clearly and concisely communicate with non-technical stakeholders. When I say “it works and it works and it works”, what I mean is it works in the sense that we get accurate predictions on test data so I can sleep at night.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. A catalog or a database that lists models, including when they were tested, trained, and deployed.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Domino Data Lab

SEPTEMBER 25, 2019

To support data scientists extract insights and accelerate their work, Domino reached out to Addison-Wesley Professional (AWP) for appropriate permissions to excerpt “Time Series and Autocorrelation” chapter from the book R for Everyone: Advanced Analytics and Graphics, Second Edition. Chapter Introduction: Time Series and Autocorrelation.

Forecasting 87

Forecasting Modeling Statistics Optimization 87

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. 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. We ought not dredge our data.

Experimentation 61

Experimentation Testing Statistics Metrics 61

Occam's Razor

NOVEMBER 2, 2015

Higher Order Bits: Human vs. Business, Success KPIs, S-T-D-C Framework, MoR Test. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. It is pronounced the more test. It is an acronym for a test I often use in my consulting engagements. It stands for: Money off Roof test.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. The platform also provides analytics and insights to support successful information sharing and fuel continuous improvement.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52