With data collection, ‘the sooner the better’ is always the best answer.
More and more data are accessible, from various sources, and this created a certain requirement for speed of acquisition and exploitation.
Collecting data is the basis. But in compliance with the RGDP, and correctly.
The current objective is to have a well constructed data architecture in order to allow the different poles of a company such as the technical part of your employees or the business and marketing part to use the data that seems relevant to them according to their needs.
To do this, you will need to structure, organize and communicate your data.
This is where the data architecture comes in, which allows, among other things, the various software databases, channels and platforms used by your teams to communicate.
Just as the world needs organizational structures to function, data needs an architecture to make sense.
The world is one big data problem.
Data architecture is the way in which data from various sources is structured. In the case of Leadup DXP, WordPress and Mautic are two of the many sources.
We can therefore define data architecture as all the means put in place to structure, store, distribute and exploit data.
Regarding the structure :
Regarding the storage :
Regarding the distribution :
Regarding the exploitation :
Data are becoming the new raw material of business.
Data normalization, also called standardization, will make data accessible.
Thanks to this standardization, the data conversion keys transform the data so that it can be used by other software frameworks, the CMS, the tools used by certain employees, etc.
The strategic value you derive from a well-established and designed data architecture is essential to your evolution.
When the infrastructure is defined, the data knows how to behave and your teams know how to take advantage of it thanks to the shared resource that your data becomes. This is an important asset in the face of emerging technologies and enables agility in the face of strategic business changes and opportunities.
Consumer data will be the biggest differentiator in the next two to three years.
Whoever unlocks the reams of data and uses it strategically will win.
A good data architecture has a significant positive impact on the personalization of the customer experience as well as on the scripting of your marketing campaigns.
The goal is to turn data into information, and information into insight.
These insights allow you to understand, on the basis of concrete data, the strategy to adopt for your personalization and your communication scenarios.
Through this article, you have briefly gone through the data architecture.
Too few companies are currently aware of its importance.
Will you be among those who understand it?
Leadup DXP has an established architecture designed by an experienced team.
This architecture allows you to leverage your data through WordPress and Mautic to create your custom automated marketing campaigns.
Try our digital experience platform for free for one month.
We end with this quote supporting this necessity.
Everything is going to be connected to cloud and data… All of this will be mediated by software.