Creating a big data backend to an iPhone app for a competitive advantage


Share on LinkedIn

Big data analytics continue to make waves in the world today. Businesses integrate data analytics to software development and mobile application development for a competitive edge.

More and more companies strive to be data-driven. That is why a lot of businesses are developing mobile apps, particularly iPhone apps and integrate data analytics software for products and services. As companies grow, together with the user bases, they have to be ready to handle massive influxes of data of that the mobile applications are causing.

As virtual architecture gets more widely adopted for managing big sets of mobile data, organizations have to look for a solution that enables them to focus on the valuable insights hidden in the datasets, rather than addressing infrastructure concerns, like storage capacity and elasticity and costs. Many companies have taken to the cloud to avoid these problems.

1. Invest aggressively in sophisticated data capability. As mobile organizations continue embracing analytics and drive the current data volume surge, these companies experience new demands on IT infrastructures to handle huge data amounts. Organizations should consider carefully if it is worth owning as well as maintaining data infrastructure. The cloud does not only help put capital expenses, but most importantly, it could minimize critical results timelines and risks.
2. Using real-time querying for maintaining a competitive edge. With mobile apps, data’s consumed faster and often due to its accessibility. To analyze the flow of big data sets, organizations could use querying engines to optimize ad-hoc interactive queries on sources of data up to petabytes in size. Real-time querying helps achieve accelerated speed to insight via an incremental and interactive process.
3. Allow continued flexibility.The mobile world is gaining momentum due to business value. Nevertheless, corporate IT developers struggle to keep updated with the pace of the mobile worker’s access demands to major business apps and processes. The elasticity and flexibility of the cloud could give business agility for addressing the concerns.

These days, the world is in people’ hands, thanks to the hand-held devices that people spend most of their waking moments on. Since a mobile device is often used and is Omni-present, its relevance in both professional and personal matters is quite huge. As of March this year, there are around 2.2 million Apple users all over the world. Also, the world is also a world of enormous amounts of both structured and unstructured data which insights and inferences have to be gained for better decision making. For businesses that target consumers at a personal level, an iPhone device is a rich source of determining personal interests, needs and behavior. When ingested and analyzed in real-time, these becomes a powerful source of current knowledge and predictive analyses as well for future that’s based on what deep insights to consumer behavior could be gained and a targeted, focused marketing could be unleashed via the right mobile application development strategy.

Concepts in big data are related with the handling and collection of data that will not be possible via traditional methods. It involves things such as data storage and retrieval, distributed computing, database models and more. Data science and analytics could or could not use data technology but not part of huge data and in concept are not related. In short, analytics and huge data address two various problems. Using data analytics or not on mobile applications mostly depends on volume of data. There are other issues that are addressed by huge data, but rare in mobile applications. Without doubt, the one issues that’s likely to happen for mobile applications.

Huge data and intelligence fuel the path to the development of a knowledge-based iPhone application development wherein marketers attempt to find connection between email platforms and mobile applications. Not all organizations are like Apple wherein the function of the Supply Chain Management has been honed to an extent that any product could be assembled by application developers within four days. In general, what companies could do is:

  • Use huge data amounts and information from different supply chain points.
  • Present a complete map on a user experience rich mobile interface.
  • Assemble, infer and co-relate meaningfully on present situation even in the wake of uncontrolled and changing external conditions.
  • Apply predictive analytics for predictions in the future.

Big data is huge for the business outcome and strategy as well. At a time when large data volume are useful to come with more mobility as well as a lot of data-driven decisions play an important role in revolution of data, the analytics remains an extremely significant factor in the mobile marketing industry. These days, every business is aware of the key role played by iPhone apps in establishing brand image and marketing products.

Dhrumit Shukla
Dhrumit Shukla has been working as Business Development Manager in a software development company named TatvaSoft since 5 years. He is profoundly skilled and well experienced in providing software development services on various technologies ranging from Microsoft .NET to JAVA, SalesForce, BizTalk, SharePoint, PHP, Open Source, iOS, Android, Pentaho and the list goes on.


Please use comments to add value to the discussion. Maximum one link to an educational blog post or article. We will NOT PUBLISH brief comments like "good post," comments that mainly promote links, or comments with links to companies, products, or services.

Please enter your comment!
Please enter your name here