Data Streams – Real-Time Data for your Business Intelligence
The Innovation for Raw Data Export in Real-Time
With Data Streams, for the first time, you can transfer your data to your data warehouse in real-time. Batch processing is a thing of the past. Benefit from the possibility of real-time activation on all your channels with enriched raw data. Furthermore, your Mapp data is not only intended for Mapp users. You can make it available to the entire company according to your needs—dissolve data silos.
Collect: Streaming architecture provides a steady stream of data in real-time. CPU capacity is reduced as data is processed in smaller packages.
Analyze: With data in real-time, analysis moves faster too. In addition, the reduction of batched processing means that systems can run smoother and more consistently.
Activate: Your BI Team, analysts and marketing leaders take the learnings so they can achieve better results across all areas of the organization.
When BI Teams become Data Heroes
Data Warehouse Revolution
Streaming architecture eliminates many typical batch-processing problems. Rather than exporting data at regular intervals, it is made available as a steady stream of data in real-time. CPU capacity is reduced as data is processed in smaller packages, rendering large batches obsolete. Multiple streams can be operated simultaneously.
With the help of streaming architecture Data Governance can be optimized. This means internal stakeholders can receive only the data that is relevant and needed for their work. For instance, sensitive information or data that falls under compliance regulations can easily be omitted before making the stream available. This way, sensitive financial or personal data can be protected from unauthorized access.
Countless Real-Time Scenarios
Data Streams are suitable for many real-time data use cases, ranging from customer experience personalization to the live computation of complex data science models. When using Data Streams, Mapp specific data refinement remains intact with all data containing the usual information such as geo-location, device information, and cross-device tracking features.
Data Streams allow organizations to implement true Data Democracy. The content of each stream can be prefiltered to include only data most relevant to the individual needs of the recipient, such as the streaming of unfiltered raw data for BI or campaign and cost data for Marketing. All decisions can be made from a single source of truth.
Data Streams as a Modern Alternative to Batch Processing
Streaming architecture eliminates many typical batch-processing problems. Data Streams are suitable for many real-time data use cases, ranging from customer experience personalization to the live computation of complex data science models.
We have been testing Data Streams for some time now. The experience we have gained in the real-time monitoring of our websites is very promising. The management and dissemination of streaming information is very simple. We can very well imagine further expanding our cooperation in this area. -Oliver Remmel, Head of Digital Intelligence, Postbank