Role of Business Intelligence Mobile App Development in Improving Businesses

Mobile apps

With the emergence of AI and allied technologies, BI or Business Intelligence has got a tremendous boost, and mobile applications have added more flavors to it. With right understanding of BI system and where to leverage it by incorporating in your mobile app strategy can help your business to gain a competitive edge.


Mobiles have disrupted several facets of our day-to-day as well as our professional life. SMBs to enterprises are looking for appropriate mobile strategy and integration of upcoming technologies with mobile applications to stay competitive and thrive to grow more. Mobile app development company and app developers have explained the strategy of business intelligence to developing great mobile BI apps.

The emergence of Mobile Business Intelligence

Business Intelligence or BI, in short, is an ultimately effective technology that can change the scenario of business with its immediate advantages. In last decade, the world has observed rapid growth of the Internet and high penetration of mobile devices among the population of the world.

Role of Cloud Computing

The advancement of cloud technologies has provided a solid platform to collect and store massive data from the various computing devices including billions of numbers of mobile devices.

Role of AI & Big Data

After cloud, the next thing was Big Data phenomena and AI (Artificial Intelligent) related technology burst like ML (Machine Learning), NLP (Natural Language Processing), Cognitive Intelligence, and Voice Recognition systems.

Role of IoT Application

Now, the platform was ready to sustain IoT applications and mobiles were at the center of IoT monitoring and controls. IoT has captured a big portion of professional applications besides the personal. IoT and M2M technologies are going hand-to-hand in data generation, which has an immediate implementation in business and public operations to make a home, city, and workplaces smart.

In short, AI and allied technologies have boosted data generation tremendously, and Big Data phenomena have given birth to NoSQL like databases and eruption of various data analytics to support Business Intelligence in meaningful ways.

What is Business Intelligence (BI)?

BI Turns Raw Data into Palatable Information.

As its name suggests, it makes business and its processes intelligent through use of the latest software technologies and algorithms to run an analysis of business-related data to provide descriptive analytics and insights to make strategic and tactical business decisions.

However, the existence of BI was before the emergence of mobiles and mobile apps. BI applications were existing on the web and in the form of web applications accessible to desktops and laptops of business executives.

The modern digital tools like visualization, tabulated presentation, graphical displays, and interactive maps enable BI software to make BI data more comprehensive and interactive to draw fruitful conclusions and create effective business strategies.

The emergence of mobile applications have shifted the access of BI applications from traditional big screens to tiny screens of mobile and mobility benefits have added more spices to make it tastier! Of course, more prevalent and useful than ever.

Difference between AI and BI

Unlike AI, BI is only present ‘what was’ and ‘what is,’ but never tell you ‘what to do’ or help you infer decisions automatically and start taking actions. It is still in the hands of human intelligence, and business executives have to take those responsibilities.

Difference between (BI) Business Intelligence and (BA) Business Analytics

Similarly, people confuse with BI and BA due to similar nature and functions. However, BI is describing ‘what is happening’ by accumulating data and explicitly use it to paint the overall picture beautifully and comprehensively.

Whereas, BA is collecting and processing data to provide insights that ‘why it happens’ using presentation tools.

Business Intelligence Process

Technically BI process consists of following steps from bottom to top.

  • External Transform Load (ETL) tools are extracting data from databases and transforming it, loading it to data warehouses, analytics applications, and other systems.
  • Data mining tools help in the analysis of large datasets to discover pattern and creation of prediction models.
  • Online Analytical Processing (OLAP) tools assist in rapid visualization and analysis of business metrics.

Benefits of Business Intelligence

In short, BI provides past, present, and predictive views of almost all internal and external business data including sales data, operational data, production data, and finance data.

“The main objective of BI is to gain strategic insights and based on it evaluates the business risk, and finally improve decision-making process for business owners (Executives), business managers, and rests of stakeholders.”

Therefore, I have described below some ways where BI leaves its profound impacts on businesses and provide clues to improve the businesses and their operations using the latest mobile technologies.

Provide Insights into Customer Behavior

When a business adopts Omnichannel access for customers, there are numerous ways/channels existing today including website/web application, Chatbot, instant messengers/WhatsApp, social chats, email, and direct calls.

These all channels act as multiple touch points and generating huge yet useful data to give detailed insights into the behavior and preferences of customers to help BI mobile apps to deliver a customer overview to make right business decisions.

Provide Insights into Operational Efficiencies

Business executives have to make decisions for resources and infrastructure to enhance the operational efficiency of the business. BI mobile apps help them find right resources from oversaturated and overcrowded market by intelligent scanning and presentations.

BI system provides a deep understanding of market trends, present new business models, bring innovative techniques, and provide insights into business processes and methods.

Provide Insights into Revenue Driving Strategies

Defining revenue driving strategies need key insights into end users of the business. Business has to do marketing with complete knowledge and understanding of influencing factors on buying decision of customers instead of shooting into the dark with traditional techniques.

Business should have complete user persona with information like what drives them to conversion and how to improve ROI of decisions. These all possible with appropriate BI application tailored to your business needs.

Provide Insights into Business Competition

Traditional techniques to look into business competition can hardly prove effective to give a competitive edge to business. Therefore, today businesses cannot much rely on account statements, analytics software, and Google analytics. They have to look into social signals, market trends, and other secondary data resources provided by BI system.

Provide Insights into Business Problems

Most of the business executives exploit profit and loss statements, balance sheets, and tracking performance KPIs for the business. Unfortunately, these all hardly reveal hidden trends and bottlenecks that can leave big impacts on the health of business any time. It is BI mobile applications and attached system that can unveil everything that is missed out on traditional systems.


We have seen how business intelligence mobile applications development emerged on the surface, and now growing rapidly with the advent of technologies and tools. How BI apps works and what benefits the modern businesses can leverage.

Moreover, today we have Self-service business intelligence that is capable of providing advanced BI services into sheer simpler and comprehensive ways than before. If you are looking for advanced BI mobile app solutions, consider SysBunny and its BI mobile app development team a right match for your ambitions.

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