In this post, we’ll explain some of the most common MongoDB use cases we come across and different characteristics that are influencing these choices.
Creating consistently good customer experiences has become a key challenge for many organizations. The reality is that our expectations around what a good customer experience is has increased dramatically over the past few years. What used to be cool and different is now the norm.
Data aggregation is one of the keys to creating amazing customer experiences. Companies are collecting massive amounts of data about their existing and potential customers and aggregating it with publicly available data. This data can tell companies how customers interact with products (digitally and in person), personal preferences, demographics, etc. From all of this disparate data, companies can build customer profiles and nurture paths with the goal of getting the customer to buy more products.
With all of this data coming from different sources with different schemas, tying it all together at such a massive scale is a huge challenge. The flexibility and scalability of MongoDB provides a solution. MongoDB allows for the aggregation of this data and building analytical tools in order to create amazing customer experiences. MongoDB’s speed allows for dynamic experiences that can evolve based upon the customer behavior in real time.
Product catalogs are not new to the evolving digital experience. What is new is the volume and richness of the data that feeds the interactions in product catalogs that we use today. MongoDB provides a great tool to store many different types of objects with different sets of attributes. MongoDB’s dynamic schema capability allows for product documents to only contain attributes that are relevant to that product. Gone are the days of needing every product record to contain every possible attribute. MongoDB users can very quickly and easily make changes to their catalogs, providing a better experience for developers and customers.
Real Time Data Integration
Companies have vast amounts of data spread across their organization. Data provides value if it’s aggregated in one “single view”. Previously, energy and resources were spent on data ingestion, transformation, and schema changes in order to obtain a single source of data. MongoDB’s flexibility and query capabilities make it easy to aggregate this data and create the tools that make organizations more efficient. This aggregation can be achieved to provide a “single view” of their data in real time. With the addition of change streams in MongoDB 3.6, developers can now monitor and take action on specific events quickly.
Mobility and Scaling
With most mobile application development, companies are dealing with varying data structures coming from multiple sources and potentially highly dynamic growth. The flexibility and scalability of MongoDB provides a great database solution for dealing with this type of environment. With schemas that can evolve over time, mobile application developers don’t have to spend time adjusting the database. Instead, developers can focus on developing the customer experience.
ObjectRocket for MongoDB
Today, modern businesses are thinking about better ways to store and manage their data, gain better customer insights, adapt to changing user expectations, and beat competitors to market with new applications.
MongoDB is a great tool that many companies find useful, but managing MongoDB doesn’t fit into everyone’s business model. It’s hard to find the right expertise and many companies can’t afford to hire the headcount. ObjectRocket for MongoDB can help. No matter where your app is hosted, we can help you get the most from your data.
Contact us for more information about our services.