What is the difference between Data Streams and a Live Dashboard?

Data Streams is an ongoing and consolidated flow of data, whereas a dashboard is the presentation of data. If data were a city, data streams would be the water system – it brings data from point A to point B behind the scenes with checkpoints along the way.

How does it work?

Central raw data acquisition and distribution in real-time with Kafka-based architecture (events streamed in JSON). This enables you to be able to stream your Mapp-enriched website and app data immediately after collection (through Pixel, Mobile SDKs, or Tag Integration). Then using standard and custom metrics (pages, events, categories, device information, etc.), you can easily configure data streams to serve different use cases. It’s even possible to operate multiple streams at the same time to serve a variety of use cases and optionally add additional data sources (CRM, ERP, product data, marketing channels).

Can I customize the Data Stream?

Yes. We offer two possibilities:

  • A pre-defined data model – these models are defined in known scenarios.
  • Customized flexible option tailored to your business.

Customized Streams have both filtering and a configuration option to deliver customized data. They provide you with the ability to take control of its content as well as its flow, at the source, to fulfill the requirements of a variety of specific use cases where only a subset of your data is needed.

Can I use Wildcards in filter creation?

Yes. Instead of just looking up 'term' and then adding multiple filters to find different versions, you can also use:

  • *term
  • term*
  • te*rm, ter*m, etc.

Does streaming imply the transfer of a large amount of data?

The contrary is true. Thanks to the constant data flow, the required streaming bandwidth is significantly smaller compared to batch processing.

What enrichment options are available for the Data Streams?

You can stream enriched data of all Mapp products. These include user segments, cross-device information, end device recognition, and localization. 

So far, we have relied on raw data exports. Do we have to modify our BI architecture to use Data Streams?

Not at all. Data Streams is extremely flexible and fits perfectly into existing BI architectures. Data Streams provides the usual raw data – and equips it with the same identifiers. The implementation effort is minimal.

What kind of company is Data Streams best suited for?

Companies with Data Analysts, BI Teams, or staff who deal with data infrastructure on a large scale. Companies that employ people in roles such as Data Engineers and Marketing Engineers.

If an organization wants to reduce data silos, customize data for each internal stakeholder, have all business-relevant data in one place, needs simple reporting on KPIs, intends to create a data lake to use for its own purposes and have the infrastructure for Customer Intelligence, then Data Streams is a match.

Any organization that needs to put all data in their own warehouse. With Data Streams, Mapp companies can bring data together – website, CRM, App, Stores, Call Centers, and more while collecting and enriching the data in real-time.

How much does it cost?

The price depends on your specific website and app usage. The price is based on the number of custom streams you have plus your data retention requirements. Please contact us to find out more.