Many clients ask whether they should buy or build their Master Data Management (MDM) solution. Right now, I’m working with a client focused on consolidating customer data into a single view, which has sparked this very debate.
For a skilled data engineer, pulling data from multiple CRMs and using fuzzy matching algorithms like Levenshtein might seem like a straightforward task. But while this "build" approach may work in the short term, it often overlooks some crucial long-term challenges.
In my latest post, I explore key Build vs. Buy considerations that can help guide your decision. 👉 Watch the video here below.
Every business is different, and choosing the right path isn’t always simple. If you’re weighing your options between Build vs. Buy, drop a comment below—I’d love to chat about how these considerations apply to your business.
A lot of my clients reach out asking if they can implement Customer 360 using their CRM system. From their point of view, it makes sense: the customer data is already in CRM, it helps identify duplicates, supports reporting, and the team is already familiar with it. So, why add another system?
While that logic is understandable, it might lead to challenges down the line. Relying solely on CRM for Customer 360 can be a short-term fix, but it often overlooks long-term data management needs.
That’s where Master Data Management (MDM) comes in. MDM handles data in a way that CRM just can’t, offering a more strategic approach to managing and governing customer data.
In my latest short, I highlight some of the key differences between CRM and MDM that you may not have considered.
👉 Watch it here: If you want more details or are unsure if MDM is right for you, drop your questions in the comments—I’d be happy to help!
Data Management Practitioner
Data Management Practitioner
Buy or Build MDM: Which Path Should You Choose?
Many clients ask whether they should buy or build their Master Data Management (MDM) solution. Right now, I’m working with a client focused on consolidating customer data into a single view, which has sparked this very debate.
For a skilled data engineer, pulling data from multiple CRMs and using fuzzy matching algorithms like Levenshtein might seem like a straightforward task. But while this "build" approach may work in the short term, it often overlooks some crucial long-term challenges.
In my latest post, I explore key Build vs. Buy considerations that can help guide your decision.
👉 Watch the video here below.
Every business is different, and choosing the right path isn’t always simple. If you’re weighing your options between Build vs. Buy, drop a comment below—I’d love to chat about how these considerations apply to your business.
6 months ago | [YT] | 1
View 0 replies
Data Management Practitioner
MDM vs. CRM: Which is Best for Customer 360?
A lot of my clients reach out asking if they can implement Customer 360 using their CRM system. From their point of view, it makes sense: the customer data is already in CRM, it helps identify duplicates, supports reporting, and the team is already familiar with it. So, why add another system?
While that logic is understandable, it might lead to challenges down the line. Relying solely on CRM for Customer 360 can be a short-term fix, but it often overlooks long-term data management needs.
That’s where Master Data Management (MDM) comes in. MDM handles data in a way that CRM just can’t, offering a more strategic approach to managing and governing customer data.
In my latest short, I highlight some of the key differences between CRM and MDM that you may not have considered.
👉 Watch it here:
If you want more details or are unsure if MDM is right for you, drop your questions in the comments—I’d be happy to help!
6 months ago (edited) | [YT] | 1
View 0 replies