Assemble

Flybits eases the challenges of assembling data from different systems, enriching it with context so you can better understand and target your customers.

Assemble

Flybits eases the challenges of assembling data from different systems, enriching it with context so you can better understand and target your customers.

Assemble Your Data Ecosystem​

The backbone of personalization is a cohesive data ecosystem. Building one entails aggregating data across disparate sources, then normalizing it so it can work seamlessly together. Flybits simplifies this process, eliminating the technical challenges faced when trying to unify new and legacy systems. Assembling your data allows it to be augmented with contextual sources and applied to predictive modelling, so you can execute a sophisticated personalization strategy. Flybits helps you achieve this while ensuring the strictest standards of privacy for your customers.

How It Works...

Flybits starts by turning your data into microservices which allows them to be aggregated easily even though they come from different sources with different structures. Once data becomes a microservice we are able to turn it into a context plug-in, which is a data variable around which you can create an experience. For example, you can choose variables such as bank balance, investment vehicles, and how long a person has been a customer. Any piece of data that comes from your proprietary or third-party sources can be one of these context plug-ins.

Flybits also gives you the power to add contextual data using our out-of-the-box context plug-ins, such as whether someone is driving or walking, if they have availability in their calendar, and what location they’re in. So you can assemble a data ecosystem using a variety of context plug-ins that let you understand your customers’ needs and when the right time is for you to connect with them. 

For example, you might know someone has deposited a large sum into their bank account. You can take this piece of data and turn it into a context plug-in and then match it up with other activity such as whether they have read any articles about investing. You can also tailor this experience to customers who are within 1 mile of their preferred branch. With these context plug-ins you can now reach out to each customer with a very personalized message inviting them in to discuss investing strategies.

Flybits also gives you the power to add contextual intelligence using our out-of-the-box context plug-ins such as whether someone is driving or walking, if they have availability in their calendar, their social media activity and what location they’re in. With a repository of context plug-ins from this range of proprietary, third-party, public and device data, you can use Experience Studio to quickly build very specific targets for your unique use cases.

For example, you might know someone has deposited a large sum into their bank account. You can take this piece of data and turn it into a context plug-in and then match it up with others such as whether they have read any articles about investing. You can also tailor this experience to customers who are within 1 mile of their preferred branch. With these context plug-ins you can now reach out to each customer with a very personalized message inviting them in to discuss investing strategies.

Flybits starts by turning your data into microservices which allows them to be aggregated easily even though they come from different sources with different structures. Once data becomes a microservice we are able to turn it into a context plug-in, which is a data variable around which you can create an experience. For example, you can choose variables such as bank balance, investment vehicles, and how long a person has been a customer. Any piece of data that comes from your proprietary or third-party sources can be one of these context plug-ins.

Flybits also gives you the power to add contextual data using our out-of-the-box context plug-ins, such as whether someone is driving or walking, if they have availability in their calendar, and what location they’re in. So you can assemble a data ecosystem using a variety of context plug-ins that let you understand your customers’ needs and when the right time is for you to connect with them. 

For example, you might know someone has deposited a large sum into their bank account. You can take this piece of data and turn it into a context plug-in and then match it up with other activity such as whether they have read any articles about investing. You can also tailor this experience to customers who are within 1 mile of their preferred branch. With these context plug-ins you can now reach out to each customer with a very personalized message inviting them in to discuss investing strategies.

Once you've assembled your data you can orchestrate hyper-personalized experiences for your customers.