While each use case may be unique, several common design patterns can be used for data preparation in data pipelines that curate data for analysis. Let’s explore these and see how you can apply them.
See the four stages of data preparation, including identifying the right data, cleansing it, enriching it, and finally delivering a curated dataset.
Explore some common patterns to prepare data to analyze the various aspects of customer churn.
Explore some common design patterns for marketing analytics, including social media and sentiment analysis.
See ways to use built-in advanced algorithms in Datameer (Smart Analytics) to find consumer and transactional data patterns.