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Using Machine Learning in Google BigQuery for Marketing Analytics (part 2)

BigQuery’s Machine Learning (BQML) capabilities allows for the development of models with ease using Standard SQL. BQML can carry out the training, testing and predicting of the model without the need of data transfer to another place. This allows marketers to uncover and predict what will work in their future digital marketing campaigns based upon prior data.

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What is BigQuery to marketers and why should marketers be using it? (part 1)

BigQuery is a data warehousing platform that allows marketers to uncover what’s working and what can be improved in their digital marketing campaigns. With this invaluable insight, BigQuery allows companies to increase the effectiveness of their marketing campaigns by 79% and tailor these campaigns to their relevant goals. This article will demonstrate the tremendous capabilities of BigQuery to marketers and why it is a must-use for every digital marketer today.

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Using Machine Learning in Google BigQuery for Marketing Analytics (part 2)

BigQuery’s Machine Learning (BQML) capabilities allows for the development of models with ease using Standard SQL. BQML can carry out the training, testing and predicting of the model without the need of data transfer to another place. This allows marketers to uncover and predict what will work in their future digital marketing campaigns based upon prior data.

What is BigQuery to marketers and why should marketers be using it? (part 1)

BigQuery is a data warehousing platform that allows marketers to uncover what’s working and what can be improved in their digital marketing campaigns. With this invaluable insight, BigQuery allows companies to increase the effectiveness of their marketing campaigns by 79% and tailor these campaigns to their relevant goals. This article will demonstrate the tremendous capabilities of BigQuery to marketers and why it is a must-use for every digital marketer today.

[MCTV] Why you need a CDP : The effects of iOS 14

With iOS 14, apps will now be required to get permission from users for cross-app tracking. So, what does this mean for advertisers? What about companies who rely on their apps as a revenue stream? Are there any ways to survive in new changes? Let’s see.

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