Data privacy regulations: what global IT leaders need to know
Data privacy regulations have become a top priority for businesses, especially for global IT leaders. As governments and regulatory bodies
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Data
The role of data in AI for marketing
AI works with the examples and information you give it.
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Why is data important? Understanding its value in the digital age
Data is important because it provides evidence for decisions. It helps people and organisations understand what is happening, measure results,
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Marketing data integration: campaigns, CRM and reporting
Marketing data integration connects campaign, contact and customer records across your tools.
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Data quality tools: what marketing teams should compare
Choose a data-quality tool by giving it the problems already in your CRM: duplicates, missing fields and records that disagree.
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Data warehousing: marketing use cases across industries
A data warehouse brings records from different systems together so you can analyse them.
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Data mining for marketing: finding patterns worth testing
Data mining looks for patterns worth investigating: products bought together, similar customer behaviour or an unexpected change in response.
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Where data science helps marketing decisions
Data science earns its place when it helps you make a better decision.
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Data science for marketing: from analysis to action
Marketing data science starts with a question, turns the available records into usable evidence and tests what the answer means.
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Data visualization for marketers: choosing the right chart
Choose a chart that makes your question easier to answer.
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