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Reimagining Customer Data

There has been a customer revolution of late, brand loyalty is now not limited to just products or price; they are willing to invest more in a purchase if the customer service is above average and there’s a unified experience between the retail store, the webshop and the back office.

Connecting the web front with back end systems may sound like a straightforward IT integration but often that would not be true where the logistics execution or point of sale systems operate in complete isolation from eCommerce and webshop systems.

From the Pretectum perspective this is where Customer Master Data Management can operate as a central hub for the many functional spokes that represent different aspects of business operations.

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Data Asset vs Master Data

Customer data is one of the most important assets that an organization has. It can be very hard to manage and track all of this data, so it’s vital that you find a solution for managing your customer data effectively.

As an IT manager or business data owner, your primary goal should be to provide service and support for customers in a way that will make them want to continue doing business with you.

Master data is a term used to describe the most important business data that exists in an organization. It is stored in one or more databases and may consist of many different types of information, including customer records and product information. Master data is also sometimes known as reference data or transactional data because it’s used as a reference point for other types of data within your organization (e.g., customer name, address or contact info).

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Building your Customer Data supply chains

Customer Data is a critical asset for every business. But what if you could get better customer data? In this blog post, we discuss how enterprises can start building their customer data supply chains ahead of the implementation of a Pretectum CMDM.

As a first step, the chief data officer or data product manager should name a “customer data supply chain manager” from their staff to coordinate the effort and recruit “responsible parties” from each department (including external data sources) across the customer data supply chain.

The next step is to put issues associated with data consolidation and ownership front and center. You’ll find that most issues melt away, as few departments wish to take a hard stance in the face of regulatory compliance and regulatory matters.

Data supply chains are a way to help you understand where your data comes from and how it’s used. They can also help you create a stronger relationship with the people who make sure that your data is clean and correct.