Increased use of technology has greatly revolutionized the efficiency of doing business and that has come with seamless methods to build innovative apps for business. For instance, some of the things you may easily consider routine today such as the use of email, or video conferencing had transformed the way business is done at some time back. Low code platforms are most likely the next tech revolution to transform the way business is done. You may not understand, but wonder, can entrepreneurs use low code to create innovative apps for business? And if yes, how?
While application development has been predominantly manual with long coding chains, modern technology uses low code to quickly build and deploy applications more seamlessly. You can therefore create innovative apps for business using low code with little or even no coding at all. This is possible because app development with low code is achieved with visual interfaces that make app building possible through drag-and-drop actions. But what is low-code? We will also provide an elaborate definition of this monster before embarking on the main discussion.
If you are struggling with the understanding of how to use low code to create innovative apps for business, you don’t want to lose touch with this article. Here, we will discuss in detail the main steps you can follow to build amazing apps with low code platforms. In our discussion, we’ll also mention several advantages you get from low code integration.
Low code platforms aim at shortening app development time. By using graphical UIs with point-and-click features to build apps, it makes it much easier for users with little or no coding knowledge to develop apps. Here are the steps:
Before embarking on the journey to build innovative apps for business, you need to understand your business needs. Besides, it is also important to establish the kind of big data that your organization will most likely need. Also, users, data science, and IT teams should establish the kinds of big data that will not be necessary. This is important as it helps you keep the application focused on your organizational key requirements without bogging down the application processing capacity with unnecessary data.
Unnecessary data bog down even the best applications while hampering business growth. You do not, therefore, want to be slowed down because your application is stuffed with the wrong data sets. Data scientists, therefore, use artificial intelligence algorithms to eliminate unnecessary big data through data filter tools. How does this work? For instance, if you are collecting big data rainfall patterns for Illinois, but don’t need to know the rainfall patterns in New York, the algorithm-filter excludes any data that is not relevant to Illinois.
Application Programming Interfaces are similar to small businesses. They require to be manufactured, marketed like any other product, sold, and then delivered. Besides, follow-up is needed to ensure that the APIs provided meet user needs. The usual users are most likely internal or external developers, your customers, or end-users of the company.
Generally, low code features come with application programming interfaces (APIs). Here, IT teams analyze systems that the intended low code app will need to access. The team then finds out if there are any missing APIs. However, if an API can’t be found, it is necessary for you will need to code one. Successful APIs deliver high value for businesses such as improved workflow and increased revenue.
It is therefore very critical to develop enterprise API strategies. Remember, without a clear roadmap, you will never be able to get value from your APIs. It can be more harmful to your business if external developers, partners, or consumers find difficulties utilizing your APIs. The following are key API management strategy:
Start by identifying key elements your business wants the AI strategy to accomplish. These may include making it easier for a client to buy products and services, developing a fresh customer experience when customers visit your website, making the process easier for partners to participate, and making it easier for internal teams to complete tasks much faster
Once the business strategies are selected, API strategy should follow them based on how best each one of them fits. Make it clear for every team member to understand the benefits of APIs in improving business efficiency.
Promoting APIs to the organization requires the presence of the business owner. Besides, they have more to lose or gain with the API, which is why sponsors ensure product managers have all the attention and resources needed to deliver the project.
API ecosystems need to be easy to manage, flexible, and more agile. There is, therefore, a need for control, improved innovation, and enhanced methodology guidelines for coding, testing, improving security, deployment as well as management of the API.
Engaging with developers creates a conducive ecosystem for driving the improvement and usage of API. Developer communities can be easily engaged through newsletter push campaigns, a portal, or even email.
You may need to monetize your API to generate revenue. This will be more reasonable if your APIs offer services or provide data to your partners that help them transact with customers.
Generally, API is the frontal side that developers and users see. However, the back-end, which is the IT infrastructure, may be easily neglected. Because it helps to create the right infrastructure especially for scaling when workload goes high. It should therefore be sufficiently scaled to suit every workload.
Developing a technology roadmap is crucial as it helps you keep the internal team well trained on emerging API skills making it easier to implement forecasted improvements.
It is now easier to make APIs available to developers by listing them on app stores or marketplaces. Also, you can engage a technical evangelist with strong communication, good social media and blogging skills, and one who actively participates in developer forums.
Some of the key metrics to look out for include the number of developers utilizing the APIs, speed of call requests, number of calls, and revenue generation where applicable.
Extracting data from unstructured data sources may be messy and time-consuming. Converting data saves employees time and the struggle to understand complex documents while navigating the several hand-written forms. At this step, IT teams select data from unstructured chunks, format them and structure them properly.
Once you have structured big data, make sure it matches with other records of data in the other systems that you will need to access. This can be done automatically using ETL (Extract-transform-load) tool. ETL is usually informed by business rules defined by IT.
Once you follow all the steps carefully, your last step will be to test and see if the app can pick up the right data, process the data correctly, and relay expected results. Generally, the process of converting big data consumes more time. The business value it generates is however more important as reuse time can be much longer with greater business efficiency.
Is low code really necessary? Ideally, we are moving from a manually operated world to a digitally operated one. Low code is therefore more important as it reduces the need for lengthy hand-coding.
Can low code help my business to increase revenue? Every business or entrepreneurship focuses on increasing sales and hence revenue. When you use low code for creating your app, the number of IT experts reduces, the time of building apps reduces among other benefits.
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