Digital transformation has proven to be a bit of a slippery slope, especially to organizations that use legacy software and tools. Switching over to quicker and more responsive software is challenging, especially if you have multiple data sources that need to be used by different platforms at once.
Although it may seem challenging, there is a highly effective, functional, and practical workaround. When tasked with the assignment to change your organization’s data architecture to be more modern and responsive, you can use the Digital Integration Hub framework. Here are the key benefits of Digital Integration Hub.
Managing and reducing API call
The benefit of using a digital integration hub is the effective use of decoupled APIs as opposed to having a coupled system that fetches data directly from the database. If multiple applications need the same data, that would mean all data stores would have to be constantly updated, which is a lot of extra effort. Whereas, with the API gateway model used by DIH, customer-end applications have a seamless cross-platform experience.
The API gateway layer used by this data architecture allows different applications to use any of the available APIs that fetch data on an in-memory data management store. Therefore, this reduced single API call helps improve the user experience on the front-end side on all applications depending on these databases. This also makes it easier for developers working on new software to have access to these different data sources.
Access to data on disparate databases
Digital transformation calls for switching from old technologies and systems to new ones, which include cloud-based computing. Cloud-managed databases are becoming very effective to use for organizations that process a lot of data. Also, it is relatively affordable and does not require much maintenance. However, switching over to such systems is not an overnight process and it takes time.
During the time you’re switching to cloud-based computing, you will still need to service your customers. In such cases, DIH can help you continue being operational even as you’re switching over to the cloud and discontinuing old data stores. The architecture allows all data stores, whether cloud databases or on-site servers, to be used by relevant applications at once.
Reduced latency for customer-end users
Another key benefit of a DIH-powered system is the optimized user experience on the customer-end applications. Fetching data has been a great problem for web applications, native apps, and other systems. Depending on the size and nature of data, it would take too long to load and as customers are being more impatient, DIH can be the perfect fix. Latency caused by directly accessing data stores and fetching that information is a non-issue with DIH.
With the in-memory data management system, fetching data does not take that long because it is instantly accessible. As such, it improves the overall user experience and subsequently results in heightened customer satisfaction levels. You can apply these principles with other user experience skills. Therefore, invest in online training for yourself and your team to design and develop products that satisfy customers to a greater extent.
Real-time operational and historical data analytics
Data analytics are much easier to conduct on a DIH-based system because the databases are not segregated anymore. Instead, all data stores are funneled through one layer allowing analysts to gather everything they need. Fortunately, through this data analysis model, you do not only get the operational data but also historical information. All of this data is available through the in-memory data store that filters all information that is gathered and shared.
You can get valuable pieces of data in real-time to monitor the usage and preferences of the application and its users. That data can then be used to offer insight to product development teams to personalize and improve the systems. You can use the in-memory data store to feed your business intelligence tools in real-time to help guide strategic decision-making.
Unifies data stores on hybrid systems
The core benefit of DIH is that it unifies all data sources to become one rapid deployment information hub. As mentioned above, it sources data from all of your data sources which could even be disparate in nature. For example, this architecture can fetch data from cloud-managed systems and combine it with on-site storage units. The architecture also allows to fetch data from multiple physical sites and unify them online to one in-memory grid.
Therefore, DIH allows companies to use a hybrid data storage system effectively without latency or segregation. Even if the organization is not planning on crossing over completely to cloud-managed systems, DIH provides continual support for hybrid systems of this kind. Additionally, the hybrid system does not slow down the throughput of data to relevant applications that have called on it.
Digital Integration Hub architecture
DIH architecture typically has 5 data access layers that allow for instantaneous responsive application performance. The 5 data access layers include front-end channels, API gateway and microservices, in-memory data store, and the integration platform. The integration platform helps with consolidating all relevant data stores together. All data then goes to the in-memory data store and at this level, it also allows for real-time analytics.
From then, applications call the data they need from the client-side using the API gateway, which fetches information from the in-memory data store. As a result, the data is quickly passed on from the in-memory data to APIs, which then give feedback to users. This whole system boils down to unifying different data sources for faster and efficient service to customers enabled by real-time analytics.
DIH is a futuristic system that can be applied by organizations that are gradually crossing over to more modern systems such as cloud computing. It allows customers to have quick access to data and reduces latency to a great scale. Also, it allows organizations to have real-time access to operational data and historical information. That helps guide business decisions on improvements to make and also how to personalize the service.