Data freshness
The freshness of your data in analytics describes how long it takes to collect, process and deliver data to your reports. If that process takes 20 minutes, then data freshness equals 20 minutes.
Different types of reports have different requirements for data freshness. If you are, for example, measuring ad performance on your website or app, daily updates might be sufficient.
Fresh data will help you better monitor your site’s performance and identify trends, patterns, and interesting changes much closer to when they happen, so you can make faster decisions. The freshness of your data is an important aspect of data quality.
For example, with a platform like Google Analytics 4, you wait up to 8 hours for your reports. And, you can expect sampling, which can hurt your reports.
In Piwik PRO you can count on data freshness every 30 minutes. There is no sampling. In other words, even if your website records hundreds of millions of actions per month, you still have smooth access to complete and quality analytics data sets.
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Digital marketing analytics: The beginner’s guide to data-driven marketing success
As a marketer, you have various options for capturing your customers' attention. However, to ensure that your efforts contribute to business growth, you need to measure the results of your activities.Digital marketing analytics is a great method to determine the effectiveness of your efforts and discover areas for improvement. This article will explain how to measure your […]
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- Dimension
- Data controller
- Data privacy
- Data processing agreement
- Data processor
- Data protection officer
- Data subject
- Device fingerprint tracking
- Double opt-in
- Dynamic content
- Data anonymization
- Data pseudonymization
- Data management platform (DMP)
- Data sampling
- Data thresholds
- Data subject access request
- Data protection authority (DPA)
- Data protection impact assessment (DPIA)
- Data retention
- Direct traffic
- Data layer
- Data clean room
- Demand-side platform (DSP)
- The Digital Services Act (DSA)
- The Digital Markets Act (DMA)
- Dark patterns
- Data-driven attribution
- Data privacy breach
- Data activation
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