Skip to main content

CRM - Overview Diagram

[PLACEHOLDER]

CRM is an interesting topic.

I had the opportunity to work for a company where I participated in a project for the integration of:
  • Microsoft Dynamics GP
  • Microsoft Dynamics CRM
  • Sharepoint (for the intranet)
  •  
     
I’ve also worked in the Digital Agency industry, involved in Web App solutions, where CRM strategies play an important role.
For a client (Eg: An online company in retail selling shoes) would be beneficial to find a Shop (Digital Agency) that understands CRM from the strategic point of view and also offers services using software tools that facilitate the finding of insights, track consumer behaviors and helps to provide a personalize experience to the consumer; bringing value to the business.

There are CRM solution providers out there that a Shop can partner with. To name a couple:

There could also be a case where a Shop can create their own custom solution that could have as their center piece a BI system, created as a product/service for their clients. This flexible and scalable product/service can evolve to get integrated with 3rd party vendors and/or partners if it needs to. In terms of Data It does not have to be a complex data warehousing. A dataset, as a starting point, should be enough for storing data making it easier for finding valuable insights, defining targets and design/enhance the strategy that make sense for their client’s business, moving from a campaign focused to a customer focused strategy. Without going too deep into the details here are a couple of suggestions regarding the products that can be used:
  • Microsoft SQL Server (including SSIS for data transformation). find more here
  • Pentaho: it has a commercial and Community version (currently installed it for a POC. I'm hoping to get to a point that I can write a post about it). Find more here

As I continued looking more into CRM solutions I ran into the book “Connected CRM – Implementing a Data-Driven, Customer-Centric Business Strategy” by David S. Williams. Instead of writing an article with multiple pages about the subject I ended up drawing this high-level diagram as a visual overview of the concept that I wanted to express in this post, which is focus on online properties (Web Apps) from the Digital Shop perspective. It could also be considered as a subset of a bigger CRM Integration Design for a client that has other systems (Example: ERPs (Enterprise Resource Planning), internal CRM solutions, POS (Point
Of Sale system), others) and channels.
Diagram created using http://creately.com/


Trending posts

Steer for a talent transformation strategy (and avoiding AI fatigue)

 There was a debate on whether to feature the term “AI” in the title of this article. Honestly, a key motivation for pursuing the research that led to this post was sparked by the widespread excitement about AI appearing constantly in our LinkedIn feed, to the point of feeling the fatigue, and even a bit disappointed in the algorithm of this, and the others, social media and content curated apps.  We soon discovered that there is an entire concept called "AI fatigue", not exactly how we were feeling it, but more about the mixed emotions people in the workforce have regarding the use of AI tools. Photo by Mart Production via Pexels (background updated with AI and Adobe  tech) From micro blog posts to video podcasts, lately, most of the tech content we encounter revolves around AI. They often sound or read very similar, usually mentioning the same few top providers. The articles (and social posts... at least the popular ones with paid-campaigns behind it) tend to focus less...

Reimagining Digital Experience Management: How Agentic AI is Transforming Adobe Experience Manager

 Adobe Experience Manager (AEM) has introduced powerful new Agentic AI capabilities designed to continuously improve and adapt digital experiences at the speed of AI. By integrating advanced AI orchestrators through Agent-to-Agent (A2A) and Model Control Protocol (MCP) tools, AEM enables brands to automate complex workflows and enforce compliance seamlessly across enterprise ecosystems. Through a suite of specialized agents, teams can transition from manual, weeks-long processes into fast, AI-assisted workflows powered by simple natural language prompts. Photo by Tunahan KALAYCI via Pexels   Here is a breakdown of the key agents driving AEM’s new Agentic capabilities, their value propositions, their guardrails, and their current availability status. 1. Brand Experience Agent. Overview. The Brand Experience Agent accelerates digital modernization through specialized sub-agents—the Experience Modernization Agent, Experience Production Agent, and Experience Development Agent. Tog...

Designing Habit Forming Mobile Application

Mobile Applications have become an integral part of our daily lives - we use mobile apps as alarm clocks to wake us up in the morning, to create to do lists when we start our day, to communicate with our colleagues at work via apps like Skype. We even check reviews of restaurants to visit on apps like Yelp and we seek entertainment on apps like Netflix and spotify. So what drives us to use these apps so seamlessly in our daily lives? Why we prefer some apps over others? Is there a science behind designing successful mobile apps like Facebook?  Photo by Peter C from Pexels A study in US revealed that a user between the age of 18 and 44 visits the Facebook app on average 14 times a day [1]. This shows that using the Facebook app is a daily routine for many of its users. This makes Facebook a great example of a habit forming mobile app which is designed with human psychology in mind that encourages habit forming behavior in its users .   I recently attended a seminar ...

Assembling MLOps practice - part 1

In one of our previous articles it was highlighted how DevOps manages the End-to-End application cycle, leveraging agility and automation. CI/CD pipelines, collaboration and transparency, monitoring and automation are part of the list on how DevOps leverages and facilitates agility. What if then we bring those to support ML? That is how MLOps comes to the table and starts making sense! Lego Alike data assembly - Generated with Gemini A big tech corporation, or a startup, nowadays will see how it is becoming a requirement to incorporate AI and Machine learning (ML) in their operations. ML components are key parts of the ecosystem, supporting the solutions provided to clients. As a result, DevOps and MLOps have become part of the "secret sauce" for success.  What is MLOps Just to bring the definition of what you probably know (or put together based on the above) MLOps focuses on the life-cycle management of machine learning models. It combines machine learning with traditional ...

This blog uses cookies to improve your browsing experience. Simple analytics might be in place for pageviews purposes. They are harmless and never personally identify you.

Agreed