In the year 2020, the amount of data produced by an individual was roughly 1.7MB per second. Upon further calculations(and get ready to be mindblown), it appears that around 2.5 quintillion data bytes per day were produced by us collectively!
Interestingly, data can tell us a lot. It can paint a highly clear picture of user needs and global market trends. When utilized correctly, data helps to develop a custom mobile application solution and service that are massively capable of solving our modern-day problems.
Furthermore, businesses use models and analytics derived from this data to improve their workflows further and stay above the competition, especially in this era of mobile application dominance.
What is Big Data?
Big Data analytics has been a buzzword throughout the tech industry for quite some time. Its primary role as a technological tool is to analyze massive quantities of customer-driven data and then use these insights to enhance the performance of applications, products, and services.
Big Data is the collection of large sets of data that are analyzed to reveal new market trends, deduce patterns and produce insights into customer behaviours.
Numerous tech giants such as Netflix, Amazon, and Starbucks utilize Big Data to enhance their products and organizational workflows. Traditionally, analytics is performed on historically collected data. But the big difference with Big Data is that real-time data analytics determine the results.
For easier understanding, applications such as Tableau, Hadoop, Hive, Spark, etc., are used to represent such analyzed data visually. There are a lot of methods and ways to learn these applications.Nowadays in-order to get a job related to Big data or data science, you will need the right skill set, for example you can even consider pursuing a good Hadoop course offered by reputed Institutes present out there.
3 V’s of Big Data
The functioning of Big Data is based on the 3 V principles.
Data available for Big Data analysis is of a variety of formats like video, audio, text, calls, and more. Part of the analysis lies in converting this unstructured data into a more orderly and coherent form.
The larger the volume of the data set, the more patterns can be uncovered from it. The larger volume of data results in better Big Data analytics and further makes the best predictions possible.
The creation of data is an ongoing process. Billions of data are created every minute of every day. The speed of data generation is extremely large, and the processing of this is made easy by Big Data tools.
Processing of Big Data
Big Data processing involves collecting, integrating, handling, and analyzing data.
- During the collection phase, data is collected from mobile applications like Twitter, Facebook, Amazon, etc.
- In the integration phase, data or business analysts process this collected data to grasp the data’s further application better, especially to create new products.
- Organizations also handle this data in the cloud or on servers for quick access.
- The insight received after analyzing the stored data using known techniques and functions will then be used in future endeavours by the organization in building practical mobile applications.
This was the overview of Big Data to make you understand its importance. Let’s move to the next section on the significance of Big Data in mobile application development.
6 Significance of Big Data in Mobile App Development
1. Create Innovative Applications
Organizations that utilize Big Data tools are armed with a new level of customer pain point awareness. Through this, they produce quality applications that address customer needs and preferences.
By deducing current marketplace trends from collected data, tech companies can build mobile applications that cater to the current needs of users from diverse backgrounds and levels, bringing innovative ideas to the industry forefront.
2. Enhance Your User Experience
Different users benefit from applications in various ways. For instance, users from different age groups, such as teens and professionals, have a different approach and use of an application. These behavioural patterns can be useful for organizations trying to enhance their existing products and services.
A prominent example is Instagram using Big Data. Instagram analyses user behaviours and interests to promote businesses to their liking. They account for user search keywords and engagement levels through likes, shares, and comments to generate valuable data for other businesses on their platform.
3. Improved Marketing Strategies
Big Data plays a major role in today’s marketing strategies. Analyzing customers’ interests, expectations, likes, etc., will give a fair understanding of the kind of products that will benefit them.
For instance, Amazon uses its recommendation feature to guess what the users might be interested in. Every time we use Amazon, the application accumulates data based on current searches and previous purchases to recommend more products. This marketing strategy works when we are convinced we need to buy one or more products recommended to us.
4. Personalization Feature
To enhance engagement for mobile applications, developers must make it more enticing to stay on the platform. This is where the personalization feature comes into play.
Today’s consumers are enamoured by personalization. For example, Netflix utilizes personalization by recommending movies and shows based on an individual’s taste and previous viewing choices.
Not only do applications stay relevant, but organizations can also achieve more sales or conversions by attracting a fresh audience to their platforms by analyzing the data produced via current users and customizing the platform according to their choice.
5. Integrations with Other Technologies
Big Data goes hand-in-hand with other technologies such as IoT. Much of the data for IoT is processed using Big Data techniques. Moreover, applications and devices in the space of IoT are increasing daily, which means usage of Big Data technology is also not going to halt anytime soon.
Connected devices have a huge role in today’s consumers’ lives. Products such as Google Home and Amazon Echo are becoming indispensable today and in the future. Such devices run on the foundation of Big Data technology.
6. Get Access to the Real-time Data
Developers or analysts relying on Big Data can utilize real-time data to provide a quick and effective glance into user preferences. This real-time data access leads to faster decision-making throughout organizations employing Big Data tools for improving factors such as user experience, and user acquisition.
These are the reason that shows how significantly Big Data will the mobile application development in the future. And brings major benefits to your business.
The future of Big Data technology has endless possibilities. As mobile applications play an elemental role in our daily lives, Big Data can enhance the experience further. Applications built using Big Data by analyzing current market trends can always predict future inclinations in collective consumer behaviour.
Similarly, organizations can use Big Data not only to build products for consumers but applications within the company. This way, organizations can make informed choices that lead to smarter decisions promptly.
Read Also: Why should I outsource web development