A Customer Data Platform (CDP) is a tool that brings together customer data from across an organization into a single system and displays each customer as a single profile , regardless of the data source system.
Customer identification is done through data consolidation, whereby data from multiple different systems is matched, matched to customer profiles, and compiled into the same platform.
The differential value of customer data platforms is the automated alignment of data from various systems and the matching of customer profile information and behavior. All of this allows the platform to identify the same customer across all systems and consolidate them with master data and transaction data.
Your customer knowledge will exceed anything you are currently used to.
For example, imagine the opportunities in employee turnover prevention, in-depth product development analysis, and better, faster customer service. Or what about personalized communications and sales?
If the CDP can do all that, then why do I need a data strategy?
A CDP can quickly become a place with a lot of irrelevant information dominican republic email list and random recording of customer behavior. Information that, at best, makes the system obscure, but at worst, can create poor customer experiences or illegal data logging.
That's why a data strategy is necessary.
What does a data strategy look like?
If you want to get the most out of a customer data platform, you need to do some preliminary work to lay the groundwork for linking people's data. Without these rules, the system will quickly become a mess of information and become virtually useless.
We can do the exercise of seeing the set of rules as a constitution for data governance. Without a constitution, the data landscape will quickly turn into anarchy because there are no adequate institutions to ensure governance.
Data Governance Overview
Good data governance requires identifying some general rules on how data is collected, rectified and entered into the platform. The set of rules must be in place before the first data is entered into the system.
It should be a simple set of rules, and it is essential that they are known by the employees who use the system.
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