A Single View application aggregates data from multiple sources into a central repository to create a single view of anything — of customers, inventory, systems, supply chains, risk or any other aspect of the business.
Single View applications enable organizations to:
- Improve customer service, like MetLife’s The Wall, a single view of the customer.
- Cut crime, like the City of Chicago’s WindyGrid app, a single view of the city.
- Bring new products to market, like Telefonica’s customer data aggregation app, a single view of the subscriber.
- Agility. Today you are pulling in data from legacy customer service systems. Tomorrow you may need to incorporate customer sentiment analysis. Evolving a relational database at this pace is not easy.
- Diverse Data. By definition, a Single View application aggregates data from multiple sources. Reconciling these different formats in a relational database is challenging and in many cases impossible.
- Granular Access and Analysis. A Single View application is only as good as its ability to serve up fine-grained access to the data within it.
- Scalability. Combining multiple data sources makes for one big Single View application. Can your relational database accommodate this scale?
- Dynamic schemas in MongoDB make it possible to pull in new data sources and change the database as often as the business demands.
- Documents in MongoDB provide a flexible platform for storing any number of data types.
- Rich query language, indexing and analytics make it possible to access the right data for the right apps.
- Horizontal Scaling makes it cost-effective to aggregate and even add to as many data sources as required.
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Greg Brockman, Stripe
Josh Bungert, MetLife