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Business Intelligence in Mobile Application Development

Consider a mobile app that learns about its users, their habits, likes and dislikes, preferences, and decisions, and then changes to them: When a user is working on his laptop, for example, a news app will immediately turn off notifications and turn on vibration mode. Or a sports app that, when the user enters his house, instantly shares a live cricket score (rather than a football score).

Consider a user who enters a shopping Centre, visits the showroom of his favorite shoes, and then receives a notification on his phone about a 50% discount that is only available to her. This is no longer a fantasy, but rather a reality, thanks to business information in mobile apps.

Here we’ll discuss the advantages and drawbacks of using business intelligence in mobile apps, as well as how this is changing the landscape of the mobile and digital environment.

But first, let’s define what business intelligence in mobile apps is and why it’s important for success.

What is Mobile App Business Intelligence?

“Business intelligence (BI) refers to the procedural and technical infrastructure that collects, saves, and analyses data generated by a company’s actions,” according to Investopedia. In layman’s terms, business intelligence combines process analysis, performance benchmarking, and predictive analytics with a refined, higher version of data mining. A business intelligence programmer will gather all-important, operational-centric data from a company’s operations and provide it to management in an easy-to-understand report or graphic, allowing them to make critical business decisions in real-time.

This business intelligence is merged with mobile intelligence in the world of mobile apps, and it is then utilized to learn, evaluate, and comprehend the users of that mobile app, and then adapt to give a seamless, futuristic user experience. In mobile apps, business intelligence is like the genie that knows exactly what his master wants, when he wants it, and where he wants it. We’ve already demonstrated how mobile-business intelligence is altering the rules of mobile app development, and how consumers are now receiving a more tailored and personalized experience daily.

Cellphones are constantly evolving, and their usage is now not just restricted to interacting with people, but also to obtaining information and using that information for data analysis. Business intelligence roadmaps can be defined as a technology, application, or software that is used to store, retrieve, and analyses data or user behavior to help management make better decisions. The fundamental purpose of BI in mobile apps is to get vital business data right into the analytical devices of company management.

Mobile intelligence is the ability of business owners to provide relevant service to customers at any time and in any location using acquired data. It enables them to broaden their decision-making capabilities and provide better service. Business intelligence in mobile apps can be used in two ways: the data collected and processed can be used in real-time by mobile apps to adapt and customize the overall user experience, or the data collected can be sent to management and then used by app administrators to provide better service and experience to end-users.

Benefits of Business Intelligence in Mobile Apps

The fundamental benefit of portable business knowledge is that your purchasers might get their information out of the blue and from any area. It improves the performance of mobile applications. This has introduced another period in the business knowledge market, with various benefits for clients from one side of the planet to the other.

1 Intelligent Information Collection:

Business owners can personalize and streamline information collecting with business intelligence via mobile apps based on their individual business needs. Analytics is an excellent example of business intelligence that can be tailored to your specific needs.

2 Making Informed Decisions:

Management may make clever and intelligent decisions, frequently in real-time, with the information curated and analyzed. For example, if you know that the majority of app users are looking for a specific brand of clothing right now, you can use that information right away to stock up on that brand’s goods for quick and timely deliveries.

3 Competitive Advantage:

Because they are aware of their loopholes, deficiencies, strengths, and vulnerabilities, based on raw data and business intelligence, mobile and digital enterprises might have a distinct competitive advantage with the appropriate information at the right time.

4 Productivity Boost:

Business intelligence may be a fantastic productivity boost for both users and designers of mobile applications. With business intelligence, the app will gain a better understanding of the user and alter its functionality and operations to meet that user’s specific wants and needs. Similarly, management can provide better services, offers/discounts, and offerings in less time and at a price that meets the expectations of the people.

5 Awe-inspiring Customer Service:

This advantage is now unrivalled and unprecedented: Client satisfaction is the bedrock of all great businesses, and with business intelligence, you can ensure consistently high levels of customer satisfaction. Users are more satisfied and loyal to the platform when the designer of the mobile application makes better judgments. The queries and questions posed by consumers can be answered quickly, even automatically, resulting in outstanding customer satisfaction.

6 Increased Revenue:

Smart decision-making, sophisticated data collection, and improved customer satisfaction all lead to increased revenue and profit. Customers will be willing to spend more money and time on the application, management will waste less time, resources can be better managed, and as a result, sales will skyrocket, directly benefiting the bottom line.


The Three Biggest Business Intelligence Challenges in Mobile Apps

  1. Stability of the Network:

It’s vital to have a solid, fast, and stable data network for mobile and business intelligence to function together flawlessly, and a lack of or disruption in network capability can severely impair key business intelligence activities. This stumbling block is particularly noticeable in rural and hilly places, where data speeds are slower and business intelligence may take a backseat.

  1. Scalability:

In some circumstances, the machine learning model is built for a specific size and number of concurrent users; if the number of concurrent users suddenly increases, the machine learning process may be impacted, and in some extreme cases, it may fail. The business intelligence model and machine learning algorithms must be scalable and able to sustain a spike in demand.

  1. Hardware Capability:

Finally, hardware capabilities are the most significant impediment to the incorporation and use of business analytics in mobile apps. If the smartphone or tablet on which the application is installed is unable to respond to the business intelligence mechanism, the entire data gathering, processing, and reporting process will be hampered, and management will be unable to obtain the right image, based on real-time data.


We at Zoptal Solutions Pvt. Ltd. will assist you right away if you’re looking for a partner who can not only design sophisticated mobile apps but also implement business intelligence to ensure increased ROI and a stunning user experience. We can understand your particular business demands and advise the best path forward because we have expertise in unleashing digital transformation via machine learning, IoT, business intelligence, and mobile intelligence.

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