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# Datanalyst

## Sitemaps

- [XML Sitemap](https://www.datanalyst.info/sitemap.xml): Contains all public & indexable URLs for this website.

## Posts

- [AI Concepts and Terminology](https://www.datanalyst.info/others/ai-concepts-and-vocab/)
- [AEP Knowledge Graph](https://www.datanalyst.info/others/aep-knowledge-graph/)
- [AJO API in aepp](https://www.datanalyst.info/adobe-experience-platform/ajo-api-in-aepp/)
- [Finding Real AI Use-Cases in the Token Era](https://www.datanalyst.info/others/finding-real-ai-use-cases-in-the-token-era/)
- [The Abstraction Trap: What AI Is Really Selling to Business Users](https://www.datanalyst.info/others/the-abstraction-trap-what-ai-is-really-selling-to-business-users/)
- [Multi Dimension and Mult Threading in AnalyticsMulti-Dimensional Reporting in CJA and Adobe Analytics](https://www.datanalyst.info/web_analytics/multi-dimension-and-mult-threading-in-analyticsmulti-dimensional-reporting-in-cja-and-adobe-analytics-your-options-before-the-1-4-api-sunsetmulti-dimension-and-mult-threading-in-analytics/)
- [aepp - Command Line Interface](https://www.datanalyst.info/adobe-experience-platform/aepp-command-line-interface/)
- [Simple Object Manager - Launch Extension](https://www.datanalyst.info/web_analytics/adobe-launch/simple-object-manager-launch-extension/)
- [Adobe Experience Platform APIs videos](https://www.datanalyst.info/adobe-experience-platform/adobe-experience-platform-apis/)
- [State of AI: The AI revolution is a data topic](https://www.datanalyst.info/others/state-of-ai-the-ai-revolution-is-a-data-topic/)
- [Cart Abandon in Customer Journey Analytics](https://www.datanalyst.info/web_analytics/cart-abandon-in-customer-journey-analytics/) - In this article, we will have a look on how to define a filter for cart abandon in Customer Journey Analytics. This is based on the normal tracking of commerce and product list tracking via AEP Web SDK.
- [Data Architecture for CJA admin](https://www.datanalyst.info/adobe-experience-platform/data-architecture-for-cja-admin/)
- [Going Beyond Schema understanding with aepp](https://www.datanalyst.info/adobe-experience-platform/going-beyond-schema-understanding-with-aepp/)
- [XDM : 6 Common mistakes to avoid](https://www.datanalyst.info/adobe-experience-platform/xdm-6-common-mistakes-to-avoid/) - Avoiding mistakes when you are setting your schemas on your AEP implementation is key for a good usage of the tool. We will review 6 common mistakes that you should avoid.
- [aepp on adobe.com](https://www.datanalyst.info/adobe-experience-platform/aep-api/aepp-on-adobe-com/)
- [Adobe API - Migrating to Oauth Server to Server](https://www.datanalyst.info/python/adobe-api-migrating-to-oauth-server-to-server/)
- [XDM Schemas: The ultimate guide](https://www.datanalyst.info/adobe-experience-platform/xdm-the-ultimate-guide/)
- [Launchpy - Synchronizer](https://www.datanalyst.info/python/launch-api/launchpy-synchronizer/)
- [Adobe IO : JWT authentication with Python](https://www.datanalyst.info/python/adobe-io-user-management/adobe-io-jwt-authentication-with-python/) - This article will guide you to create a JWT authentication for Adobe IO with python 3. This is based on the user management API in Adobe.
- [AEP Web SDK  - Debugging](https://www.datanalyst.info/adobe-experience-platform/aep-web-sdk-debugging/)
- [Implement AEP Web SDK - vanilla JS - for datanalyst.info](https://www.datanalyst.info/adobe-experience-platform/implement-aep-web-sdk-vanilla-js-for-datanalyst-info/)
- [Launch : Async sequential](https://www.datanalyst.info/web_analytics/adobe-launch/launch-async-sequential/)
- [Adobe Analytics API 2.0 : aanalytics2 - upgrade 0.3.1](https://www.datanalyst.info/python/adobe-analytics-api-2-0/adobe-analytics-api-2-0-aanalytics2-upgrade-0-3-1/)
- [Simple Object Manager](https://www.datanalyst.info/web_analytics/simple-object-manager/)
- [Launch : Analyzing large implementation](https://www.datanalyst.info/web_analytics/adobe-launch/launch-analyzing-large-implementation/)
- [Create a .crt file with OpenSSL on Windows](https://www.datanalyst.info/python/python-others-ideas/create-a-crt-file-with-openssl-on-windows/) - This article is a guide to create your own key and certificate for Adobe IO usage. The certificate is required for most of the API done with the Adobe IO integration.
- [cjapy : Video Tutorials](https://www.datanalyst.info/python/customer-journey-analytics-api/cjapy-video-tutorials/)
- [Customer Journey Analytics API - cjapy](https://www.datanalyst.info/python/customer-journey-analytics-api/customer-journey-analytics-api-cjapy/)
- [Customer Journey Analytics - 2021 status](https://www.datanalyst.info/adobe-experience-platform/customer-journey-analytics/customer-journey-analytics-2021-status/)
- [Moving to AEP Web SDK in 2021](https://www.datanalyst.info/adobe-experience-platform/moving-to-aep-web-sdk-in-2021/)
- [Learning path in Digital Field](https://www.datanalyst.info/others/learning-path-in-digital-field/)
- [Introducing Python SDK for AEP](https://www.datanalyst.info/adobe-experience-platform/introducing-python-sdk-for-aep/) - This article describes the Python wrapper for Adobe Experience Platform APIs. It gives an introduction on what aepp is and what it can do. It is demonstrating the very basic of the python package and how to start with it.
- [Adobe Analytics API 2.0 : aanalytics2 v0.2.8](https://www.datanalyst.info/python/adobe-analytics-api-2-0-aanalytics2-v0-2-8/)
- [Compare ReportSuite & Segment Scans (aanalytics2 v0.2.7)](https://www.datanalyst.info/python/adobe-analytics-api-2-0/compare-reportsuite-segment-scans-aanalytics2-v0-2-7/) - This blog post describes the new features available on the Adobe Analytics API 2.0 python wrapper aanalytics2. The version 0.2.7 provides several additional functionalities that we will cover: compareReportSuite, scanSegment, scanCalculatedMetric and some other.
- [Implement AEP Web SDK Launch Extension for datanalyst.info](https://www.datanalyst.info/adobe-experience-platform/implement-aep-web-sdk-launch-extension-for-datanalyst-info/)
- [Connecting Python and JS with launchpy 0.3.5](https://www.datanalyst.info/python/launch-api/connecting-python-and-js-with-launchpy-0-3-5/) - This blog post will be about the new release of Launchpy python module, the version 0.3.4-1 and what this release entails. The updateCustomCode and updateProperty methods are part of this release.
- [AEP - Merging Policies](https://www.datanalyst.info/adobe-experience-platform/aep-merging-policies/)
- [aanalytics2 - v0.2.5](https://www.datanalyst.info/python/adobe-api/aanalytics2-v0-2-5/)
- [Python Tutorials for Adobe Analytics API 2.0](https://www.datanalyst.info/python/python-tutorials-for-adobe-analytics-api-2-0/)
- [Launchpy Videos Tutorial](https://www.datanalyst.info/python/launch-api/launchpy-videos-tutorial/)
- [Creating Campaigns Cost in Adobe Analytics](https://www.datanalyst.info/web_analytics/importing-campaign-cost-in-adobe-analytics/)
- [Beginning of a Journey 2/2](https://www.datanalyst.info/others/beginning-of-a-journey-2-2/) - Follow up of my first article about my journey to Data Analyst / Consutant at Adobe. I am now focusing on explaining my career so far as I went through the educational background in my first post.
- [Beginning of a Journey 1/2](https://www.datanalyst.info/others/beginning-of-a-journey-1-2/) - In this first article, I come back to my background and what lead me to be in Analytics, developing python application. I will try to be open on my background and show that there is no true path.
- [2020 Review & 2021 plan](https://www.datanalyst.info/others/2020-review-2021-plan/)
- [Adobe Experience Platform : The Experience Data Model](https://www.datanalyst.info/adobe-experience-platform/adobe-experience-platform-the-experience-data-model/) - This articles explains how the Experience Data Model is used within the Experience Platform and how Adobe is using it to consolidate the data transfer between its solutions and partners.
- [Why your Digital Transformation will fail ?](https://www.datanalyst.info/adobe-experience-platform/why-your-digital-transformation-will-fail/) - This article will deal with the main obstacles that you will encounter on the digital project, especially for CDP solution and analytics projects: Skills investment, documentation and Organization commitment.
- [Dealing with Adobe Solutions for Privacy Consent](https://www.datanalyst.info/web_analytics/dealing-with-adobe-solutions-for-privacy-consent/)
- [Mental Health in Analytics](https://www.datanalyst.info/others/mental-health-in-analytics/) - This article is mostly tackling the difficulties of working in the Analytics field and I will try to give you my tips on how to deal with these challenges.
- [AEP Query Service - Window functions](https://www.datanalyst.info/adobe-experience-platform/aep-query-service-window-functions/) - In this article I will try to give an explanation on AEP Query Service methods used in the blog post from Frederik Werner on Customer Journey empowering data with Query Service.
- [Adobe Analytics API 2.0 : Video Tutorial](https://www.datanalyst.info/python/adobe-analytics-api-2-0/adobe-analytics-api-2-0-video-tutorial/)
- [The late Aaron Swartz](https://www.datanalyst.info/others/the-late-aaron-swartz/) - This article will try to introduce you to Aaron Swartz, one of the person that you should know about when you are discussion sharing information and knowledge.
- [Standards vs Standardisation](https://www.datanalyst.info/others/standards-vs-standardisation/) - This blog post will treat of the difference between Standards and Standardization. The different level of maturity of your company will tell you which of both technic you should apply now.
- [Audience Manager Python Wrapper](https://www.datanalyst.info/python/audience-manager-python-wrapper/) - This article is about the Audience Manager module for python. Describing the use-case behind it and giving you a bit of a guideline on how python can help you on your automation.
- [What happened to Datanalyst mid 2020 ?](https://www.datanalyst.info/others/what-happened-to-datanalyst-mid-2020/)
- [To those who read (2)](https://www.datanalyst.info/others/thoughts/to-those-who-read-2/)
- [The Event Driven Data Layer revolution](https://www.datanalyst.info/web_analytics/the-event-driven-data-layer-revolution/) - This article is presenting the Event Driven Data Layer concept, especially the implication of using it for the clients and the different choice to make when implementing it.
- [To those who read (1)](https://www.datanalyst.info/others/to-those-who-reads-1/)
- [Adobe Launch - Details you may want to know](https://www.datanalyst.info/web_analytics/adobe-launch/adobe-launch-details-you-may-want-to-know/) - This articles will provide additional information about Launch configuration or use in runtime that may not have been part of the official documentation.
- [One idea : Kierkegaard & Existentialism](https://www.datanalyst.info/others/one-idea-kierkegaard-existentialism/)
- [One idea : Hegel & Historic Dialectic](https://www.datanalyst.info/others/hegel-historic-dialectic/) - This article will explain the concept that Hegel developed about progress and how it can be foreseen through studying history. I will try to link that to work, in the field of web analytics.
- [100...](https://www.datanalyst.info/others/100/) - This article to celebrate a 100th article on my blog.
- [Adobe IO : Launch API : Core Components](https://www.datanalyst.info/python/adobe-io-launch-api-core-components/) - This article will dig into the core components and methods that are part of the launchpy module. launchpy is the python wrapper for the Adobe Launch API.
- [Adobe IO : Launch API : Tutorial](https://www.datanalyst.info/python/adobe-io-launch-api-tutorial/) - This article is hosting the video tutorial of the pylaunch module. It will showcase the different capabilities of this module.
- [Adobe IO : Launch API : Translator Class](https://www.datanalyst.info/python/adobe-io-launch-api-translator-class/) - This post will dive into the Translator class that is available through the pylaunch module. The translator class facilitate the copy paste of element from one property to another.
- [Adobe IO : Launch API : Library Class](https://www.datanalyst.info/python/adobe-io-launch-api-library-class/) - The Library class will enable you to manage your Library workflow through python directly. You will be able to add elements to the library, build the library, attach environment or reject the library workflow.
- [Adobe IO : Launch API : Property Class](https://www.datanalyst.info/python/adobe-io-launch-api-property-class/) - This article is about the launchpy python module and dig into the Property class. We will review the different methods available from the instances created from it.
- [Adobe IO : Launch API : Introduction](https://www.datanalyst.info/python/adobe-io-launch-api-introduction/) - Introduction on the Launch API python wrapper that I created. This will try to explain you how the Launch API operates and what needs to be considered in order to use it.
- [AEP : Query Service](https://www.datanalyst.info/adobe-experience-platform/aep-query-service/)
- [Adobe Analytics API 2.0 : Connecting to Analytics](https://www.datanalyst.info/python/adobe-analytics-api-2-0/adobe-analytics-api-2-0-connecting-to-analytics/)
- [Analytics API 2.0 Wrapper Update](https://www.datanalyst.info/python/adobe-analytics-api-2-0/analytics-api-2-0-wrapper-update/) - This article is to explain the update for the Adobe Analytics API 2.0 python wrapper call "aanalytics2". This major update bring new functionality and documentation.
- [Adobe Analytics API 2.0 : Retrieving the components](https://www.datanalyst.info/python/adobe-analytics-api-2-0/adobe-analytics-api-2-0-retrieving-the-components/) - This articles shows the different methods available with the python wrapper for the Adobe Analytics 2.0 in order to retrieve elements from your analytics configuration.
- [Adobe Analytics API 2.0 : Reporting](https://www.datanalyst.info/python/adobe-analytics-api-2-0/adobe-analytics-api-2-0-reporting/) - This articles explains how to use the python wrapper for the Adobe Analytics API 2.0 in order to retrieve reports data.
- [AEP : Identity Service](https://www.datanalyst.info/adobe-experience-platform/aep-identity-service/)
- [Experience Edge : Web SDK for Adobe Experience Platform](https://www.datanalyst.info/adobe-experience-platform/experience-edge-web-sdk-for-platform/) - Explanation and introduction to the Adobe Experience Platform Web SDK, also named Experience Edge or Alloy. I will discuss the implication of that tag system and when to use it.
- [AEP : Data Model](https://www.datanalyst.info/adobe-experience-platform/aep-data-model/) - This article explains the data model uses for Experience Platform. How to better interpret the data that are being ingested inside Adobe Experience Platform and plan their insertion.
- [The incoming Adobe Experience Platform](https://www.datanalyst.info/others/the-incoming-adobe-experience-platform/) - This article will present you the Adobe Experience Platform solution as it is being launch end 2019. I will try to explain this tool, where to start and what does it mean for the future of Adobe solution.
- [Online Advertising in 2022](https://www.datanalyst.info/others/online-advertising-in-2022/) - This article looks at Google announcement on removing 3rd party cookie in 2022. We will try to see the impact of that and what the industry could look like.
- [Conversational Python](https://www.datanalyst.info/python/conversational-python/) - Get the terminology around python and programming language to understand what people are talking about during python meetings. A quick terminology starter guide.
- [The other things you need to know when working in Analytics](https://www.datanalyst.info/web_analytics/the-other-things-you-need-to-know-when-working-in-analytics/) - This article is gathering the topics to know when you work as online data analyst. Having an understanding of the world you are working on is important and here is a list of what you should know.
- [Experience Cloud ID - and other user IDs](https://www.datanalyst.info/web_analytics/experience-cloud-id-and-other-user-ids/) - Article on the Experience Cloud ID service that set the ECID for Adobe solution. This will also cover how you can use different ID to sync your system with Adobe system.
- [Things I learned from developing Adobe IO APIs](https://www.datanalyst.info/others/things-i-learned-from-developing-adobe-io-apis/) - This article is to describe the different benefit that one can have from developing APIs. I will take my example, feel free to share any added value on doing that.
- [Segmentation in Adobe Analytics - part 1](https://www.datanalyst.info/web_analytics/segmentation-in-adobe-analytics-part-1/) - This article is focused on Segmentation capabilities within Adobe Analytics. Explaining the fundamental of the segmentation and going a bit further with some advanced principle.
- [Segmentation in Adobe Analytics - part 2](https://www.datanalyst.info/web_analytics/segmentation-in-adobe-analytics-part-2/) - This is the 2nd part of my Adobe Analytics segment posts. I try to give tips and explain you how to avoid some kind of errors that I usually see with Adobe Analytics segments.
- [Open Source for Analytics](https://www.datanalyst.info/others/open-source-for-analytics/)
- [2019 Review & 2020 plan](https://www.datanalyst.info/others/2019-review-2020-plan/) - Yearly summary review of what has happened on that website and what is most likely going to happen.
- [Adobe Analytics : Product Syntax - a complete guide](https://www.datanalyst.info/web_analytics/adobe-analytics-product-syntax-a-complete-guide/) - This article will cover some information about the s.products syntax for Adobe Analytics. It is meant as substitute to the documentation provided by Adobe Analytics.
- [Adobe Customer Attributes](https://www.datanalyst.info/web_analytics/adobe-customer-attributes/) - On this article, I will try to take a deep dive on Customer Attributes and see how you can use them on your website. Example of a Customer Attribute implementation is also covered.
- [2018 Review](https://www.datanalyst.info/others/2018-review/) - This article is a review of my year and I will try to share the cool things that I have read / saw / viewed during this 2018 year.
- [Adobe Analytics API - Introduction](https://www.datanalyst.info/python/adobe-api/adobe-analytics-api-introduction/) - Overview and introduction to the Adobe Analytics API in Python. The aanalytics python library is coming with several methods to enable you to retrieve the wanted information as dataframe.
- [Adobe Analytics API 2.0 : Introduction](https://www.datanalyst.info/python/adobe-analytics-api-2-0/adobe-analytics-api-2-0-introduction/) - Introduction on how the python wrapper for Adobe Analytics API 2.0 has been approached and what to expect from this API.
- [Functional Programming in Launch](https://www.datanalyst.info/web_analytics/adobe-launch/functional-programming-in-launch/) - On this article I will explain a very specific way to use Data Element for Adobe Launch and the reason for this usage. It may not be beautiful but it may be useful.
- [Acronym you should live for](https://www.datanalyst.info/web_analytics/acronym-you-should-live-for/) - This post will review the different acronym that you should know when developing a program or script. This is a clear reference to "Clean Code in Python" where these different elements are listed.
- [Adobe Launch : Custom Code is dead, Long Live Custom Code](https://www.datanalyst.info/web_analytics/adobe-launch-custom-code-is-dead-long-live-custom-code/) - On this article, I will explain why a UI focus on Launch implementation is not always the best way to do it. Also we will see how we can tackle some problematic issue with Custom Code.
- [Adobe Analytics API 2.0 : Explanation](https://www.datanalyst.info/web_analytics/adobe-analytics-api-2-0-explanation/) - This article is explaining the source of the adobe analytics API 2, what are the use cases and how it differs from the previous versions.
- [One Idea : Time (Aristotle to Heidegger)](https://www.datanalyst.info/others/one-idea-time-aristotle-to-heidegger/) - This blog post will discuss how time is influenced by our own perception and what are the way to deal with the passing of time.
- [Creating Adobe Launch Extension : Release your Extension](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-release-your-extension/) - This article will guide you to to release your Launch Extension privately. The documentation is somehow less extensive on that, so I feel that you can learn a bit more about the process.
- [The big O](https://www.datanalyst.info/python/python-others-ideas/the-big-o/) - This article will focus on the explanation of the Big O notation for algorithm. Big O notation are pretty common to explain the duration and time spent by an algorithm to realize a task.
- [Adobe IO : User Management : Other functionalities](https://www.datanalyst.info/python/adobe-io-user-management/adobe-io-user-management-other-functionalities/)
- [Adobe IO : User Management : User Group Class](https://www.datanalyst.info/python/adobe-io-user-management/adobe-io-user-management-user-group-class/) - On this article, we will see the class of the pyaum module in python. This class helps to manager the group directly in python and then send the information to be synced to Adobe.
- [Adobe IO : User Management : Create and Remove Users and Users Groups](https://www.datanalyst.info/python/adobe-io-user-management-create-and-remove-users-and-users-groups/) - This article will focus the creation or removal of the users and user groups from the Adobe organization.
- [Adobe IO : User Management : Retrieve Information.](https://www.datanalyst.info/python/adobe-io-user-management-retrieve-information/) - On this article, we will look at the different method available to retrieve information from the User Management API. We will see how to retrieve user information and group information from the pyaum module.
- [Adobe IO : User Management : Configuration](https://www.datanalyst.info/python/adobe-io-user-management-configuration/) - This article will focus on the configuration require to run the module smoothly. How to create the configuration file and what type of information you need to provide.
- [Adobe IO : User Management : Introduction](https://www.datanalyst.info/python/adobe-io-user-management-introduction/) - This article is the introduction on users management of Adobe products by using the API of Adobe IO and python. It will list the requirement and explain the background of that product.
- [Creating Adobe Launch Extension : Testing your Extension](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-testing-your-extension/) - On this article we will explain how we can debug our extension, test it and upload it to Launch. The debug phase is going to be a 2 steps process for the developer.
- [Creating Adobe Launch Extension : Other features](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-other-features/)
- [Creating Adobe Launch Extension : Shared Modules](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-shared-modules/) - This article will cover the sharedModules, we will explain what this functionality is doing and how you can access a share module. Launch provide the possibility to share functions between extensions.
- [Creating Adobe Launch Extension : Data Element Module](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-data-element-module/) - This article will focus on the Data Elements module creation. We will see the definition of the Data Elements, how they can be useful and why you could create some for your company.
- [Creating Adobe Launch Extension : Action Module](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-action-module/) - This article will be focus on the actions module of Adobe Launch. Definition and how to create your own action extension. Example of implementation from my own Adobe Launch Extension is provided.
- [Creating Adobe Launch Extension : Condition Module](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-condition-module/) - Creating a condition within your own Launch Extension. We will see how to create that and which use-case it can cover. Code example will be provided within this article.
- [Creating Adobe Launch Extension : Event Module](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-event-module/)
- [Creating Adobe Launch Extension : Global Configuration](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-global-configuration/) - In this article we will review how to setup your extension configuration JSON file and your HTML for your own Adobe Launch Extension. I will use my example Extension to give code snippet.
- [Creating Adobe Launch Extension : Architecture & dependencies](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-architecture-dependencies/) - This article will explain the structure of a Launch Extension and how they are combined together. This is important as you are developing with Launch, you will need to get familiar with this structure and dependencies.
- [Creating Adobe Launch Extension : Introduction](https://www.datanalyst.info/web_analytics/adobe-launch/creating-adobe-launch-extension-introduction/) - This article will introduce you to the Launch concept and what you should know before starting to create your own extension.
- [Adobe Admin Console - Groups & Profiles](https://www.datanalyst.info/web_analytics/adobe-admin-console-groups-profiles/) - Let's have a view on the Admin Console from Adobe and look on how you should manage your users within this console. It is quite a complex eco-system and some solid understanding is required to efficiently use it.
- [AAM API : returnAudienceData Method](https://www.datanalyst.info/python/adobe-audience-manager-api/aam-api-returnaudiencedata-method/) - On this article, we will go through the returnAudienceData method. This method will return you the different data you have requested from Adobe Audience Manager API.
- [AAM API : ImportAccess Method](https://www.datanalyst.info/python/adobe-audience-manager-api/aam-api-importaccess-method/) - This article introduces how to create the text file that will be required to import the access to your account. This method could be quite important when you are using multiple accounts.
- [AAM API : Introduction](https://www.datanalyst.info/python/adobe-audience-manager-api/aam-api-introduction/) - This article introduce the Adobe Audience Manager API wrapper on Python. It will present you the requirement and the preparation that are necessary for using this module.
- [AAM API : The AudienceManagerData Class](https://www.datanalyst.info/python/adobe-audience-manager-api/aam-api-the-audiencemanagerdata-class/) - This post explains you the reason behind the AudienceManagerData class. How to use it and the different methods that are available for simple use.
- [AAM API : importTraits and importSegments Methods](https://www.datanalyst.info/python/adobe-audience-manager-api/aam-api-importtraits-and-importsegments-methods/)
- [Non Mathematical Algorithms Methods for Data Science](https://www.datanalyst.info/python/python-others-ideas/non-mathematical-algorithms-methods-for-data-science/) - In this article, I will cover non algorithmic things that (mostly) need to be done on your data set before or after running any algorithm.
- [Fluent Python](https://www.datanalyst.info/python/python-others-ideas/fluent-python/) - This article will be a summary of the things you can easily learn by reading the book "Fluent Python". This article doesn't cover the whole book but the most impacting things that you can get from it, on your daily coding.
- [My Path Towards Data Science](https://www.datanalyst.info/python/python-others-ideas/my-path-towards-data-science/) - On this article, I will share my view on how to prioritize your learning in order to optimize your time on your data science / analysis journey.
- [Table of Contents project in Adobe Analytics - What is it and why should you have one?](https://www.datanalyst.info/web_analytics/table-of-contents-project-in-adobe-analytics-what-is-it-and-why-should-you-have-one/) - The Table of Contents project in Adobe Analytics is an extremely helpful overview to your web analytics landscape. Read more about why you should have one here.
- [ES6 Javascript (or Pythonscript)](https://www.datanalyst.info/web_analytics/es6-javascript-or-pythonscript/) - This article will discuss the new functionalities that were introduced by ES6 and especially how javascript and python are more and more merging to become very similar.
- [Adobe Analytics API : retrieveReport](https://www.datanalyst.info/python/adobe-api/adobe-analytics-api-retrievereport/) - This post explains how to use the retrieveReport method on the Adobe Analytics python API. This method helps you retrieving specific report if you have the report id saved and it has been less than 72h after the creation of this report.
- [Adobe Analytics API : getReport](https://www.datanalyst.info/python/adobe-api/adobe-analytics-api-getreport/) - The getReport method is the heart of the aanalytics module. It is this method that enables you to retrieve the report from Adobe Analytics API, we will look at what arguments can be passed and what to expect as return values.
- [Adobe Analytics API : getElements](https://www.datanalyst.info/python/adobe-api/adobe-analytics-api-getelements/) - This article explains you the different elements that compose the getElements function from the Adobe Analytics API. The reason behind this functions and the arguments that can be passed.
- [Adobe Analytics API : The statement class](https://www.datanalyst.info/python/adobe-api/adobe-analytics-api-the-statement-class/) - This articles provides you the different methods and attributes available with the statement instance you create using the api.
- [Adobe Analytics API : Statement creation](https://www.datanalyst.info/python/adobe-api/adobe-analytics-api-statement-creation/) - Creating your statement for the Adobe Analytics API can be challenging, Adobe doesn't have the best documentation (yet) regarding this. Here are some tips for statement report creation.
- [Adobe Analytics API : Requirements](https://www.datanalyst.info/python/adobe-api/adobe-analytics-api-requirements/) - On this page are all the requirements in order to start with the Adobe Analytics API on Python. Adobe & Python require several things to be prepared before you start your journey.
- [One Idea : Kant & Universalism](https://www.datanalyst.info/others/one-idea-kant-universalism/) - This article will try to explain the basis behind Kant Universalism and how applying this on your daily life can help you having better wokr ethic.
- [Blog Posts : One Idea / Concept](https://www.datanalyst.info/others/blog-posts-one-idea-concept/) - Explanation of the blog post series One Idea / One concept. This article aims at explaining the reasoning behind those blog posts and how to perceive them.
- [Adobe Launch - Good Tag Manager ?](https://www.datanalyst.info/web_analytics/adobe-launch-good-tag-manager/) - Articles have been written about Launch Tag Management but not really regarding its technical (new) features. Let's look at some and determine if this is really useful.
- [Automatic Adobe Analytics Implementation Checker : Part 1](https://www.datanalyst.info/python/python-others-ideas/automatic-adobe-analytics-implementation-checker-part-1/) - The first part of the Automatic Implementation checker explain the different challenges that can be faced when you want to test your implementation of Adobe Analytics.
- [Automatic Adobe Analytics Implementation Checker : Part 2](https://www.datanalyst.info/python/python-others-ideas/automatic-adobe-analytics-implementation-checker-part-2/) - This article will explain the implementation checker module developed on Python to check the Adobe Analytics implementation. The full documentation is presented here and the module itself is hosted on GitHub.
- [Creating Personas with Adobe Analytics](https://www.datanalyst.info/web_analytics/creating-personas-with-adobe-analytics/) - How could you create Personas with Adobe Analytics and how that can help you on discovering new trends on your website. Take a look on how to use Adobe Analytics tool to see more of your customers.
- [Cross Sell Tracking & Analyzing](https://www.datanalyst.info/web_analytics/cross-product-tracking-analyzing/) - On this article, you will see how to trick the Adobe implementation in order to get cross sell analysis in Adobe Analytics directly. A bit of JavaScript and a bit of classification to learn.
- [Universal Cart Addition Tracking](https://www.datanalyst.info/web_analytics/universal-cart-addition-tracking/) - Attribution is a very subtitle subject and here I will present you a view of my own on how to actually attribute & allocate cart addition on Adobe Analytics.
- [Implementation Adobe Analytics : The basic information you need to cover](https://www.datanalyst.info/web_analytics/implementation-adobe-analytics-the-basic-information-you-need-to-cover/) - What are the basic information you need to make sure to retrieve for having a good implementation. Take a look on my recommendations and see if you currently check all the boxes
- [Python Pandas : House Market Analysis - Munich (2016-2017) (1/2)](https://www.datanalyst.info/python/python-others-ideas/python-pandas-house-market-analysis-munich-2016-2017-1-2/) - This article is to show you how to use pandas in order to realize an easy data analysis and bring some insights out of bunch of data. This example is from house market data that I gather over the year.
- [My journey to performance analysis 1/2](https://www.datanalyst.info/web_analytics/my-journey-to-performance-analysis-1-2/) - On this first article we will look on how to realize performance analysis of your website based on the performance library in JavaScript and also a bit with python.
- [My journey to performance analysis 2/2](https://www.datanalyst.info/python/python-others-ideas/my-journey-to-performance-analysis-2-2/) - This article covers analysis of HAR files in order to realize performance analysis of your pages. It uses the harpy module that I developed. The idea is to find relevant KPI to analyze in the HAR file and how to show them.
- [Python Pandas : House Market Analysis – Munich (2016-2017) (2/2)](https://www.datanalyst.info/python/python-others-ideas/python-pandas-house-market-analysis-munich-2016-2017-2-2/) - This article is the second article on analyzing the the House market for Munich. On this article we will see pandas functions to analyze your data set and some visualization.
- [You have to Try this](https://www.datanalyst.info/web_analytics/you-have-to-try-this/) - What if you were going beyound the if statement to waterproof your implementation ? The good thing is that you can even add more meaningful data by doing this. Let's see together how to do it.
- [7 traits of a good data analyst](https://www.datanalyst.info/others/7-traits-of-a-good-data-analyst/) - What makes a good data analyst? In this article we'll go through the seven most common traits of good analysts, and give you tips on how to become one.
- [Scraping Train Price Munich - Paris : Part 1](https://www.datanalyst.info/python/python-others-ideas/scraping-train-price-munich-paris-part-1/) - I always wanted to realize an analysis with the prices of train ticket with date of departure. Let's see how we can do that with Python and Selenium - part 1.
- [The author](https://www.datanalyst.info/about/the-author/) - A bit about myself and why I came to write this blog.
- [Server-side Tracking - data discrepancy](https://www.datanalyst.info/web_analytics/server-side-tracking-data-discrepancy/) - How do you resolve data discrepancy so you have close to perfect data accuracy ? Here is a way to realize that with Server Side tracking. The pro and cons.
- [Data & Web Analysis for everyone](https://www.datanalyst.info/web_analytics/data-web-analysis-for-everyone/) - Who should work with the data ? Is the business manager or the analyst the best one to look into it ? Who will get the most of it ? It is a tough question to answer, let's see the good and bad side of each.
- [Why do you need a Python Club? (or R or something else)](https://www.datanalyst.info/python/python-others-ideas/why-do-you-need-a-python-club-or-r-or-something-else/) - When people are very motivated to learn and apply data analysis or data science in their company but they are the only one on their department. Some tips to improve your environment into a learning environment.
- [Web Analyst vs Data Analyst](https://www.datanalyst.info/web_analytics/web-analyst-vs-data-analyst/) - What is the difference between a Web Analyst and a Data Analyst ? Is there really a difference between those 2 persons ? What are their skills ? Their background ? Their opportunities ?
- [Click Tracking](https://www.datanalyst.info/web_analytics/click-tracking-adobe/) - Adobe Analytics custom Click tracking explained with concrete examples. I hope you could use some tips I am giving here for your own website.
- [why did I choose python](https://www.datanalyst.info/python/python-others-ideas/why-did-i-choose-python/) - I code in Python and I would like to share why I did that choice. This post is really subjective but I really try to be objective. I hope I'll help you, be it Python... or not.
- [Steps to realize a data analysis](https://www.datanalyst.info/web_analytics/steps-to-data-analysis/) - I really would like to work on Data Analysis. But what does it really mean ? What are the step to realize data analysis ? It is more complex that you think and involve more than just one job. (or person)
- [Javascript : What to know in 2017 (for non-developers)](https://www.datanalyst.info/web_analytics/114/) - At the end of 2017, it was time to realize a review of what is the JavaScript landscape for Web Analytics implementation managers. Basic overview to the current solutions available.
- [Tag Management: good idea or not?](https://www.datanalyst.info/web_analytics/tag-management-good-idea-or-not/) - What are the stakes when a website (or a company) want to use a Tag Manager. There are pro and cons, like for every solution. Let's review them.

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