Mobile Apps as the Future of Big Data

The issue of growth and great diversity of data that recent years have been abundant with has led to the emergence of special software tools, programs and applications developed to collect, manage and process petabytes and exabytes of data at a high speed within a short period of time.

While Big Data can definitely be characterized by three main features as volume, variety and velocity, there is one more feature that predetermines the necessity for the businesses to adopt “Big Data” technologies in order to save time and money – the Value. Deductions made with the help of Big Data programs and apps can definitely be of great value for every company. Accuracy in data processing will definitely lead to more precise decision-making, greater operational efficiencies and reduced risks.

Most proactive American companies such as American retailer Macy`s and well-known American delivery service UPS, for example, have already realized the value of Big Data and have already started to derive profit out of it. Knowing customers` needs and preferences and what exactly triggers them to visit a company`s website or make a purchase can be of great use. Doubtless, it is definitely not the whole list of social characteristics of users that are analyzed and taken advantage of with the help of software tools and apps. Furthermore, thanks to Big Data optimization tools and software, UPS saved more than $30 million in 2011 by cutting 85 million miles off of daily routes and now the company plans to optimize the efficiency of its 2,000 aircraft flights per day.

Here the question comes of how can be Big Data and Mobile Apps connected?

By 2017 analytics predict the ubiquitous spread of wearable devices with dozens of downloaded mobile apps and these apps are to generate more than $77 billion profit for their owners. It is no surprise that a considerable part of those apps will belong to Big Data processing types.

With mobile gadgets and apps conquering the world many proactive companies no longer stay aside from the fact that now it is mobile apps who rule the marketing game. In the future they will not only provide customers with useful and entertaining information but will also pick up ad hoc data for companies and make marketing no longer be the “one-size-fits-all” process. The services rendered will become more personal and will be ideally “cut” for the very individual who receives a promotional email or a push-up message. By doing so, companies will get more satisfied customers and, thus, more revenue.

Still, lots of companies are not ready for switching to machine-made decisions. Not everyone consider opportunities created by Big Data as a plus. Massive layoffs can be critically accepted by those who have been in charge of data processing before the special tools and software emerged. Big data in mobile apps mean no privacy either, which is definitely a reason for everyone`s disapproval.

Nevertheless, there is a long list of advantages that mobile apps and big data can bring into our life. Firstly, they can replace highly-customized, expensive systems with a standard solution that runs on commodity hardware. Such systems are commonly used in all spheres of our life and their maintenance is rather costly. Secondly, retailers can learn behavioral trends of their customers that will improve marketing campaigns and pricing policy. Thirdly, utilities can capture household energy usage levels to predict outages and to incent more efficient energy consumption. Besides that, governments will be able to detect and track the emergence of disease outbreaks via social media signals.

Another question is what will help to bring all these possibilities to our life?

The answer is mobile apps. Lying in our pockets and bags, mobile gadgets will connect people all over the Globe with Big Data tools and apps. They will not only aid people in their every day’s life but will also help companies and organizations to provide the best services they can provide. Therefore, Big Data and mobile apps will become a critical differentiator for any company of whether a market winner or a market “has-been” and will definitely become an inalienable and vital part of our future.

Elinext projects:

Financial and accounting SaaS Application
SaaS CRM System for financial services provider
Network monitoring and infrastructure management software
CRM system (in Software as a Service model)

Industries and Technology Areas:

Industries: infrastructure management

Technology Areas: mobile application development, ASP, ASP.NET, jQuery, Ajax, MySQL, JavaScript

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