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How to Match Outlook 365 Contacts to CRM Records

outlook 365 contacts match to crm in MDP

Why Match Outlook 365 Contacts to CRM Records? Your Outlook 365 contacts contain valuable touchpoints, communication history, and sometimes more up-to-date information than your CRM. Matching these ensures: Unified customer profiles Better sales and support tracking Clean, deduplicated CRM data Enhanced marketing segmentation Matching Outlook 365 contacts to your CRM records can be challenging without […]

Cut Direct Mailing Costs with Address Normalization and Deduplication

Match Data Pro Direct Mailing Cleansing

Cut Direct Mailing Costs with Address Normalization and Deduplication ​ Direct mailing remains one of the most effective marketing strategies — but it’s also one of the most expensive. Postage, printing, and fulfillment costs quickly add up, especially when duplicate addresses bloat your mailing list. Inaccurate or messy address data leads to wasted resources and […]

What Are the Minimum Requirements for Superior Data Quality?

MDP Data Quality

What Are the Minimum Requirements for Superior Data Quality? Data quality is a term that gets thrown around a lot in conversations about analytics, business intelligence, system upgrades, and digital transformation. But what does it really mean to have “good” data—and what are the minimum requirements to ensure data quality is strong enough to support […]

Optimize Duplicate and Fragmented Relational Data for Better Insights

Match Data Pro Duplicate

 Optimize Duplicate and Fragmented Relational Data for Better Insights Here’s a pretty typical scenario that frustrates users, wastes time, and undermines your organization’s goals: a customer—or maybe a staff member—interacts with your business using slightly different information each time, and your systems treat each interaction as brand new. The result? Duplicate records, fragmented views, and […]

Two Records, One Customer: The Hidden Cost of Dirty Data

Match Data Pro Dirty Data

Two Records, One Customer: The Hidden Cost of Dirty Data Why “Dirty Data” Isn’t Just a Mess — It’s a Business Problem Dirty data sounds simple, but here’s what it actually means:You don’t have one customer in your system — you have two, three, or ten, each slightly different. Maybe a name is misspelled. Maybe […]