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Data Strategy in an AI-First World: Here’s Where to Start

Salesforce Marketing Cloud

de-duped, error-free, and labeled appropriately)? A robust data strategy defines the purpose for collecting the data, the type of data required, and the most effective methods for collecting, unifying, and activating it. Data strategy answers critical questions such as: Are you working with quality data (i.e. Where is the data sent to?

De-duping 115
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Should Cleaning Up Database Duplicates Really Be Your Focus?

LeanData

percent of the respondents answered: de-dupe incoming leads and existing database. But there’s another — and perhaps more provocative way — of looking at that result: people who say they want de-dupe functionality are missing the point. De-dupe is not the solution. Should they care? Should they fix it?

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Your Cheat Sheet for B2B Revenue Waterfall Transformation

LeanData

At the same time, though, a team member from Marketing approached and informed Liz they had received many leads from the same Caterpillar division and asked if it was okay to de-dupe and delete the new leads. . Had Liz and her team gotten lucky this time around, with this lead and this account?

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Should Cleaning Up Database Duplicates Really Be Your Focus?

LeanData

percent of the respondents answered: de-dupe incoming leads and existing database. But there’s another — and perhaps more provocative way — of looking at that result: people who say they want de-dupe functionality are missing the point. De-dupe is not the solution. Should they care? Should they fix it?

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Should Cleaning Up Database Duplicates Really Be Your Focus?

LeanData

percent of the respondents answered: de-dupe incoming leads and existing database. But there’s another — and perhaps more provocative way — of looking at that result: people who say they want de-dupe functionality are missing the point. De-dupe is not the solution. Should they care? Should they fix it?

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The Real Story on MarTech: A holistic personalization technology strategy

Martech

Data and Profile Management : Once you collect and ingest data from different sources, the next step takes it through basic management tasks such as cleansing, de-duping, normalizing and so forth. Once normalized you need processes to stitch data together into unified user profiles. Without this, how are you going to know that M.

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Lead Optimization: 10 audience questions answered

markempa

What does it mean to “enrich data” and “merge/de-dupe”? It also makes it easy to identify duplicates and merge information – that is literally what is meant by the term “merge/de-dupe.”. Here’s your opportunity to read and learn, without having to put yourself out there.