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Best Practices For Building Data Driven Apps

It is impossible to build any application(web or mobile) without working or interacting with “data”. Usually in any kind of application, you may need to load records from a back-end and then display those in application’s view. You may also need  to accept input from the user that changes or creates new data. All of these requirements are easily sustainable in data driven mobile applications.

Following points collectively describes data driven programming technique:

The basic concept behind data driven programming is data observation and binding i.e. the ability to observe changes in object properties and have the changes be automatically synced with properties of related objects. You should not be confused with data driven programming and object oriented programming. Both are completely different approaches. In data driven development, data not only just represents state of some object, rather it actually defines the control flow of the program. Also, the encapsulation is a primary concern in object oriented approach while in data driven development, the main focus is towards writing as little fixed code as possible.

Subsequently, we should find the best way to deliver data driven applications. These apps should not only give consumers what they want, but those should also be highly scalable and enterprise class. Also, according to IDC (a global market intelligence firm), 2015 will be the year of data driven programming and sales with marketing really taking off. Everyone wants data driven apps, but they are not sure how to build them or scale them.

Below you can find the list of “four best practices” to build data driven apps:-

  1. Impact of Data on Customer’s Journey: An app user or general people want an increased level of personalization and responsiveness. The smart and demanding consumers of today will buy such services if they feel it can genuinely inform, connect or motivate them. Let’s take an example of travel app, by looking at trends it should tell the user that it’s the time to buy a ticket or to wait to get better savings. The thumb rule is we need to offer apps that genuinely help people.
  2. Consider Every bit of BIG DATA: A user doesn’t interested or care about the amount of data on which you are working with on their behalf. They are just interested in the ultimate result, they see. So, we need to make sure that if we want to harness the potential of big data, we need to think and see things from the user’s perspective. We need to make apps that work for real business users, travelers, shoppers – not just for data analysts. We can’t take the risk of involving users in the decomposition process, we applying on big data, as this may lead to rejection of apps by the user.
  3. Scalability in sources, formats and devices: No matter how much bigger or complex your application is, it needs to be securely managed, accessed and delivered data across a variety of sources in a variety of formats.
  4. Follow the crowd: You can get  tremendous help and support if you open up your data driven app development process to the crowd, or in simple words, the open source community. IHub is a great example of such community which is already supporting range of data-driven apps, from the Telco to the government market.

To build the data driven app successfully, the foremost thing you require is thinking about the customer at all times. You should have a clear vision about giving users the data driven apps they require.



About Vipin Jain

(CEO / Founder of Konstant Infosolutions Pvt. Ltd.) Mobile App Provider (A Division of Konstant Infosolutions Pvt. Ltd.) has an exceptional team of highly experienced & dedicated mobile application and mobile website developers, business analysts and service personnels, effectively translating your business goals into a technical specification and online strategy. Read More