Business Intelligence in mobile application development

Business intelligence is an integrated software platform used to analyze and manage business data. With the help of mobile BI app development, many businesses can analyze their data without the help of any IT department. The development of BI mobile applications has thus taken mobile applications to a new level. Artificial intelligence has changed the face of modern times. And smartphones in our hands are the best example of this. With these technologies, new areas of business intelligence are being explored, and there are many things still to be explored. Currently, many companies are working with mobile device manufacturers to design and develop smartphones that are capable of handling machine learning operations.

What is Mobile Business Intelligence?

Mobile Intelligence is the ability of mobile devices to learn, adapt, analyze and understand user behavior through various aspects. For example, if a mobile user turns off the vibrate option with silent mode more often, the next time silent mode is turned on, the vibrate option will turn itself off.

In this example, the smartphone analyzed and understood the settings that need to be set to make things easier for the user. Business intelligence roadmaps in mobile application development are also called information access and use. Today, thousands of mobile apps are integrated with analytics and business intelligence tools to provide smart insights to the end user.

Mobile phones are constantly evolving and now the use of mobile devices is not only limited to communicating with people but also using them to get information and use that information for data analysis purposes. In layman’s terms, we can define business intelligence roadmaps as a technology, application or program that is used to store, retrieve and analyze data or user behavior to help management make better decisions. The main goal of BI in mobile applications is to bring important business data directly to the analytical devices of company managers. Mobile intelligence is the ability of business owners to provide relevant services to the customer at any time and in any place using Collected information. It allows them to expand their decision-making skills and serve better.

Advantages of mobile Business Intelligence

1)Gathering information: When you integrate a machine learning model into your mobile app, you’re likely to get data more frequently or in Real-time. With the help of this data, you can efficiently perform various operations in less time.

2)Decision making: When you have the collected information available all the time and it is also analyzed using various analytical tools, it makes it easier for business owners to make any decision efficiently and in less or no time.

3)Competitive advantage: In today’s world, every business owner wants their business to be responsive, flexible, and have a unique identity among the competition. Access to real-time data increases the opportunity to reach clients more often and increase sales.

4)Increasing productivity: Since we already have access to real-time data, it facilitates quick decision-making, and when the decision-making process takes less time, it means that there is enough time to make a decision, which ultimately leads to increased productivity.

5)Improved the customer satisfaction: When your performance is commendable and you are definitely ahead of the competition, your productivity will increase and with increased productivity, you will reach your customers faster and be able to serve them better. Once you connect with your customers, it fulfills their requirements and makes them satisfied with your services.

6)Increase sales: With greater customer satisfaction, faster decision-making increased productivity, and more success in all aspects of your business, your sales will increase. A testimonial from a happy customer will help you generate more revenue and increase your customer reach.

Challenges in Mobile Business Intelligence

• Network status: Customers who living in rural areas face unstable network conditions. Sometimes they take a long time to connect to the Internet or have an Internet connection. So, network problem is the main challenge that every online service provider faces.

• Complexity and size: The increase in customers and the fulfillment of their demands results in the complexity of the machine learning model and the increase in the amount of data collected. As the data size increases, it directly affects the service availability performance.

• Hardware options: Since all operations are performed on the mobile device, high-performance hardware is required to run these programs. High-performance hardware can affect the price of mobile devices

Conclusion

Business Intelligence has given a new definition to today’s businesses and made them achieve a paradigm of success. The term Business Intelligence – refers to technologies and processes that enable a business to obtain data from internal and external systems. All this includes querying, analyzing, visualizing data, creating analytical reports, and generating reports to maximize business decision-making for better performance and incorporating decisions based on current demand.

Many business owners are developing mobile apps to make their businesses smarter, more efficient, and more productive, and to have higher customer satisfaction. The best way to make a decision will be to have access to real-time data operating in a similar environment that they are used to. Still, there is a lot of room in this area and a lot of work to be done. And while this market is still new, there is also room for innovation to develop in the future.