Remove measurement
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How to adapt your marketing for the new era of data analytics by Salesforce

Martech

However, the downstream effects of increased data collection restrictions mean various metrics — like open rates and measurement methods used to benchmark success — are no longer reliable. Last year, 83% of marketers described their cross-channel coordination as dynamic as opposed to siloed or duplicated – up from just 68% in 2021.

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(Im)proving Content’s Impact Using Marketing Data Analytics

Contently

Marketers can de-emphasize poorly performing platforms and formats and invest more in higher-performing alternatives. Whether you’re just getting started measuring the impact of content or looking to refine your current program, follow these four steps to define your strategy for marketing analytics.

Analytics 117
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Leveraging Integration Projects: How to Keep Your CRM Data Clean

SmartBug Media

This could mean removing incomplete data, data that is not formatted correctly, or data that is duplicated. This is extremely important when dealing with numerical data and using the same unit of measure. Remove Duplicate Information. Standardizing your data sets will allow you to easily compare and contrast results.

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Adapt Your Marketing Data Analytics for a New Era of Customer Privacy

Salesforce Marketing Cloud

However, the downstream effects of increased data collection restrictions mean various metrics, like open rates and measurement methods used to benchmark success, are no longer reliable. Last year, 68% of marketers described their cross-channel coordination as dynamic as opposed to siloed or duplicated – up from just 31% in 2018.

Privacy 98
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6 thorny data problems that Vex B2B marketers, and how to solve them

Biznology

How do I match and de-duplicate customer records effectively? Measuring the impact of each touch in our omni-channel world is driving us nuts. Consider enabling the data input group with a real-time interface with a database services provider to prompt the standard company name and address. How should I sort all this out? .

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The 2020 Data Governance Guide for Beginners

Martech Advisor

Not managing the data properly can cause process inefficiencies, data duplications, and can incur penalties for non-adherence to data regulatory compliances. There needs to be a method to collect, de-silo, process, and manage internal and external data, and this is where data governance comes in. Auditability. Accountability.

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Machine Learning Problems: The Easy Parts

Contify

So, we implemented de-duplication algorithms to significantly reduce the resources required to process the information in these documents. We therefore had to write our own version of hierarchical clustering that returns a large number of tight clusters or duplicates. just rephrased. Entity Identification. Named Entities.