Mobile Business Intelligence - Why do you need it?

In today's business, using Business Intelligence is not an option. It is the only way to optimize the business and generate better results. Taking advantage of the big data that each operation or interaction with users generates, we can create new opportunities. The key lies in having the necessary tools to draw conclusions from all the analyzed data. And that is precisely where business intelligence (BI) solutions provide us with strategies to take advantage of data.

What is Mobile Business Intelligence (Mobile BI) 

Business Intelligence refers to the technology-based process of analyzing data and providing an actionable information resource that can be used to make smart business decisions. Thus, Mobile Business Intelligence (BI) refers to the ability to access and analyze data related to business intelligence on mobile devices and tablets. It makes it easy to view business metrics and dashboards. It enables users to use and receive the same features and capabilities as desktop/application-based BI software.

Mobile business intelligence (BI) has rapidly developed as an easy way to deliver real-time sales, revenue, and customer data in dashboards small enough to fit on an employee's tablet or smartphone screen. With this data, employees can make more informed decisions without delay, which will eventually help a company improve the bottom line including productivity.

Reasons to Use Mobile Business Intelligence

Mobile BI solutions are gaining popularity within the global corporate community for all the right reasons in today's digitized environment. The following are the reasons why you need mobile BI apps and dashboards to succeed in business. 

1. Get ahead of the competition: Software developers and vendors can integrate not only interactive reports and analysis, but also process them into specific business programs and applications. It is an ideal way to give products and services a strong competitive advantage. For the end-user, BI is a simple item embedded in a menu on a screen that provides information at the moment. Without leaving your app interface, you can move from analysis to action without delay, giving your own customers a better experience and staying ahead of your rivals at the same time.

 

2. Get a deeper understanding of your customers: When you start working with BI solutions and focus on collecting customer data, you begin to understand your customers. Many companies think they understand their customers, but really they don't. It is only by detecting patterns that you find things that you would never have discovered on your own. It is essential that you work hard to understand your customers on a deeper level because we can guarantee that your competitors are. When you understand what your customers like, feel, and want, you can begin to deliver services that exceed their expectations. However, you could run into trouble if your competitors get there first.

The world today is different than it was a decade or two ago. It is fiercely competitive for companies, but trying to sell harder is no longer an option. Today's consumers are more resistant to being sold to. They just want to see the value of their products through the experiences of people like them. That's why reviews and word-of-mouth marketing remain an essential part of business today. Without having the option of repeatedly calling your customers to try and sell to them, you need to find other ways to bring them to your business.

3. Creating a data-driven culture: By focusing on business intelligence in your customer experience function, you can create a broader appreciation of BI across the enterprise. Business intelligence is proven to drive business success, and if you're using it to drive success in the customer experience, you'll have key data you can show senior employees about project success. Companies that have a more data-driven mindset are generally more successful. Again, it's all about eliminating the guesswork. It's about putting you on a path that is evidence-driven and one that you can be sure will get results for you. All teams benefit from this.

4. Easier and faster reports: You are never done creating the perfect customer experience strategy. Customers are constantly evolving and their expectations are constantly changing. You can create a customer experience strategy today, but in 5 years it may no longer apply to most consumers. Of course, this is not to say that you shouldn't do customer experience strategies, but rather that you should continually evaluate your data to make sure your customers are doing better. To do this, you need quick and easy access to current data and customer trends. With BI tools, you can quickly generate reports and instantly see if your customer experience strategy is working or needs improvement.

5. Call center efficiency: Business Intelligence tools can help improve call center efficiency which will then improve customer experiences. Many customers complain that they have to wait a long time to speak with a customer service agent, or that when they do, the agent was unhelpful. BI tools are used in call centers to display dashboards and report on efficiency in real-time. This can help business owners know when their staff needs more hands or attention. It can also help agents stay on the right track if they can see targets; they're measuring them right in front of them. 

6. Improved employee performance: With BI dashboards, employees can see exactly how they're doing with the click of a few buttons. This was not possible before now, and many employees were kept in the dark about their daily performance. Performance is important for all staff, but especially for customer service staff because they are the ones most likely to affect customer experiences. Many employees resist BI tools because they think their purpose is to scold them. BI tools should not be used to pressure or punish employees, but to provide them with the tools they need to do their jobs. When BI tools are combined with Omnichannel platforms and data-driven tools, employees are empowered in their roles.

 

7. Forecast the future: Predictive analytics, as part of business intelligence, helps you to identify trends and investigate how they are likely to evolve. It's a method for identifying patterns in historical data, comparing current data to those patterns, and calculating the likelihood of particular events or scenarios occurring in the future. Business intelligence methods are important in this situation. For example, machine learning allows a computer to examine those patterns on its own. As a result, you will be able to evaluate a lot more data in a shorter amount of time.

The difference between a brainstorming board and real-world business benefits is always practical applications. You must concentrate on the desired business outcomes. Begin by determining the most important questions to be answered and then select the data analysis software you require for those answers and results.

Conclusion

As you can see, Mobile Business Intelligence (BI) applications are becoming increasingly popular. Companies are using effective mobile BI strategies in order to thrive in the business world and effectively cope with the competition. Mobile BI has a number of important benefits, including quick access to real-time data, a better penetration rate, and increased productivity. As a result, Mobile BI has become vital for companies seeking to increase revenues.