System Integration - Discussion Board 1

Student-1:

So what I think in my opinion that the most 3 challenges that system integration will face are: 1- Time and cost for the applications. It should speed up the project implementation and help achieve business requirements faster. 2- Better performance. A system integrator must find a balance between time and performance, and ensure that the integration solution is not just about meeting the functional requirements of today, but also potential future and non-functional requirements. 3- Sometimes Integration faces integration itself.

Student-2:

There are many issue could happen in integration system. First is when you have different developers have developed two system to be integrated together. also, I could say tracking systems using different application could be another challenge. Third challenge, in enterprises the applications and system built for more systematic job, however in some causes the integration could impact the security level if it not consider. so system security is major concern.

Student-3:

The following are some of the challenges; 1-Code Development: Integration of an organization various applications requires developing a code and create information to exchange among those applications. That means a dramatic increase in the cost for huge networks. 2-Incomplete Defined Analysis IT team should have an inclusive knowledge of the business processes since the integrated systems run on scattered platforms. It will be difficult to manage all those system as one unified system. This will cause additional cost for external support. 3- Vendor management It would be difficult to manage vendors if they face problems to modify the integrated applications. Vendors might need training, and new licenses.Some vendors might mot support some custom modification in future upgrades.Thus, defining the requirements, responsibilities, milestones, and deliverables within the vendor agreement is a must.

student-4:

When starting integrating systems together, there are challenges that need to be considered: 1. Systems Nature and Infrastructure: Some systems do not have the capability to be integrated with other systems which can be a challenge to IT folks. Thus, this challenge requires a huge investment due to the need of new development process. In addition to that, each system may have different environment and dependencies which can be a problem when it comes to integration. 2. System Complexity: A project of integration requires a full understanding of the current systems and how a single system interacts with different parts such as databases, endpoints and other parts. Knowing these small details will lead to the success of the project. 3. Security Perspective: The idea behind the integration is to achieve a business objective. Some systems designed to provide limited access to its data which can be a barrier when integration is required. This problem prevents an integration to be occurs and may require an external stakeholder to be involved within this project which adds more complexity to the project. Example: suppose a company wants to calculate their staff production automatically, so they would integrate their production system with HR system to come up with useful data. In this case, the production system must read the HR database with no restriction.

student-5:

I most likely face three main challenges: Data sprawl: Your data is currently on multiple sources, including on-premises and a cloud data lake storage repository. But the data often exists in different formats and other databases—and those databases are being used by transactional systems in different departments. Data latency across clouds and systems can be a serious concern in a multi-cloud environment, specifically when dealing with large data volumes. It takes too long to build and update applications: Your team has tools in place to help continuous integration and continuous deployment, a method to more rapidly deliver apps to customers by introducing automation into the stages of app development for containerized applications. But the team is struggling with managing the complexity of containers across your entire IT infrastructure. Lack of quality: the data is managed by field sales reps who aren’t always vetting it first to determine if the data pertains to existing customers or not. This lack of quality control has resulted in your data lake being more of a “data swamp.” Populating the data is straightforward, but most of it is either unusable or needs to be cleaned or modified to deliver value.