Originally published at Analyst Admin.

Analysts and administrators of Google Analytics and Adobe Analytics need to analyze product features that are introduced with dev releases. New product features or product enhancement are tied to dev releases, which means that due to caching, or long app visits, a visitor may take days to pull in the latest app version — knowing which version of an app is served to visitors is critical for accurate reporting and analysis.

The goal of this post will be to create a React app version that is captured by Google Analytics or Adobe Analytics.

buildVersion =…

Originally published at Analyst Admin.

This guide is for anyone who needs to inspect and/or modify HTTP requests to and from your macOS or Mac OS computer. For example, if you need to inspect Adobe Analytics or Google Analytics tracking beacons from Safari or Chrome.

See here for the Charles for Windows PC Guide.

macOS Charles proxy use cases:

• QA/verify Adobe Analytics or Google Analytics tracking beacons
• Inspect and/or transform HTTP requests to and from your PC
• Throttle connection either to specific hosts or all hosts
• Local proxy for websites, apps, iOS Simulator, or Android Studio
• Set up macOS to…

Originally published at Analyst Admin.

This guide is for anyone who needs to inspect and/or modify HTTP requests to and from your PC. For example, if you need to inspect Adobe Analytics or Google Analytics tracking beacons.

See here for the Charles for macOS Guide.

Use cases:

• QA/verify Adobe Analytics or Google Analytics tracking beacons
• Inspect and/or transform HTTP requests to and from your PC
• Throttle connection either to specific hosts or all hosts
• Local proxy for websites, apps, Universal Windows Platform (UWP), or Android Studio
• Set up Windows 10 to proxy for iOS, iPhone, iPad, Android, tvOS, and Apple…

Originally published at Analyst Admin.

In this post, I will be transforming raw Stock Market trading data into refined machine-learning-ready data that can be used to predict the price change for the next trading day. For example, will AAPL go up 1% or down 3% tomorrow?

Using data science principles, we will engineer technical indicators that will be used as features to train a machine learning model. For example, open-close percent change and simple moving averages. Additionally, we will transform the dataset from single-point observations into a time series. …

Originally published at Analyst Admin.

In my experience working with Adobe Analytics, I’ve found that Processing Rules help in some cases, but oftentimes they create more work. I try to avoid using Processing Rules whenever possible. In this post, I will cover the main reasons why using Adobe Analytics Processing Rules is not worth it for me.

Before we get into it, let me start by saying that I have a Processing Rules Exporting Tool. Check it out if you work with a lot of processing rules and report suites.

Tracing Issues Is More Difficult

Originally published at Analyst Admin.

If you’ve been following the evolution of iPython, Jupyter Notebook, and JupyterLab, then you know the features are only getting better and better with each evolution. However, the core features of the Jupyter family of products are focused on data-science-centric tasks. These tools are perfect if you’re only working on data science projects, but what happens when you need to integrate with a backend and a frontend all within the same project? You basically end up with a not so easy QA and deployment workflow. …

Read the original post on the Official Analyst Admin Blog.

Google Analytics, the ubiquitous digital analytics solution pairs well with the king of Single Page Applications, React JS. Follow this guide to fully integrate Google Analytics and Google Tag Manager into a React app. We will cover the code needed for the React app as well as how to set up Google Tag Manager triggers, variables, and tags.

Terminology

• SPA — Single Page Application
• React — React JS for building SPAs
• GA — Google Analytics, now Google Universal Analytics a.k.a. “GUA”
• GTM — Google Tag Manager

GTM Container Code

The first step is to…

Originally published at Analyst Admin.

Adobe Analytics is great at managing sites individually. Even a few sites are manageable with the built-in tools. However, what happens when you have a dozen or a hundred sites to manage? The on-site tools can get a little clunky and slow. In particular, managing processing rules is a pain in the butt! For instance, in the user interface when you load the page all the rules are collapsed and if you have over a hundred rules the whole page lags. I will admit, in times of desperation I have tried multiple browsers and found…