11 Nov 2022
Updated on November 28th, 2022
Business Intelligence in Mobile Apps: How Enterprises are Succeeding with BI
Business Intelligence in Mobile Apps can let you enjoy a win-win in this radically competitive edge. It allows you to identify and adapt to your users’ likes, dislikes, preferences, and choices.
That’s not all!
It also has a magical impact on business expansion. Several benefits of integrating this BI in mobile apps can let businesses improve their brand visibility.
The blog will throw light on the same. We will inform you about what BI or MBI (mobile business intelligence) is, why it is essential, and the challenges of integrating it into apps.
So, if you are excited, ensure to read further to reveal the secrets.
Now, let’s get started!
Mobile BI: What Lies Behind?
Let us understand it with some examples!
Imagine you enter Starbucks, and a message pops up about a 15% off and discount on your order. You get notifications about the latest series on an entertainment app just after entering your house. Or, no more notifications from a news app when you work on your laptop and turn on the vibration mode.
But these have actually turned into realities.
Do you know how?
All thanks to mobile business intelligence!
Many of us have heard about data mining.
Business intelligence is a refined edition of it. While consisting of performance benchmarking, process analytics, and process analysis, the technology-driven process lets businesses store and analyze operational and relevant data that are turned into certain reports through which they can make better business decisions.
For businesses who want a seamless way to understand their users’ needs, business intelligence in mobile app development is a perfect choice.
BI as Genie!
BI is a genie who knows his master’s choices and preferences!
Businesses prefer this technological genie to serve their users in the best manner possible.
In this competitive edge, where every industry is disrupting to move into the new technological spaces, such solutions are essential.
Consider the association of Techugo to integrate business intelligence in the development of mobile apps.
Also, if you want to learn more about BI, watch this video brought-in by our industry expert:
How Does Business Intelligence Work?
Business Intelligence is not just a specific technology but also a technology-driven process that starts with the collection and ends with the information analysis.
Below is the whole procedure of how business intelligence works. Learn and develop insight.
It unveils the trends in large datasets using statistics, databases, and machine learning (ML).
Stakeholders get the data analysis and come up with conclusions to make better decisions.
Performance Metrics and Benchmarking
The next stage is to compare the current performance data to the historical ones. While using customized dashboards, businesses can track their performance against goals.
The data depicts past events using preliminary data analysis.
If you have any queries regarding the data, Querying helps you while pulling the information from the data sets. Such tools will give power to your decision in integrating business intelligence in mobile apps.
You can use it to know why and how a specific trend happened with the results provided by descriptive analytics.
In this stage, data in the form of charts, histograms, graphs, and other visual representations are transformed for users for a better understanding.
Here comes the visual analysis that makes data communication easier with visual storytelling.
Data preparation is the last stage, which combines various data sources, recognizes the dimensions and measurements, and makes them available for data analysis. So, this is how mobile business intelligence in big data works.
Two Ways to Use Business Intelligence in Mobile Apps!
Wondering how BI helps businesses increase their revenue ratio?
Here are two ways that let them witness a positive response in enhanced user engagement and better revenue ratio. Find them below:
- Mobile apps collect and mine data without including manual efforts to adapt to user experiences.
- The stored data is provided to the administrators, who utilize the information to ensure the best service to the user.
Top-Notch Mobile BI Tools to Deal with Diverse Database!
Some top-notch mobile business intelligence software that let you derive the best success-oriented result is here.
Let’s explore with the most dynamic It consists of powerful analytics, reporting capabilities, and visualization, that manage the corporate data. If your business deals with diverse database, this proves to be the match made in heaven.
Microsoft Power BI pro
For technical businesses, this tool proves to be a great option. It just requires a basic knowledge of Excel and Microsoft tools to aggregate, analyze, visualize, and share data. It is also a self-service tool, as you can explore the data without any IT involvement. The tool eases the use of business intelligence in mobile apps.
It creates and shares interactive BI dashboards with other users.
So what adds the cherry on top?
The answers to the queries in natural language, that too in seconds. Not only through an app, but you can also access this tool on websites or portals. Amazon Quick Sight can prove fruitful if you are looking for eye-catching dashboards.
IBM Cognos Analytics
While integrated with Watsons, IBM Cognos Analytics can provide various dynamic benefits. For example, Watson Cognos cleans the user’s data to give them an insight into where they stand compared to their competitors. Also, it contains reporting, modeling, analysis, and dashboards for enhanced data visualization.
SAM Roambi Analytics
SAM Roambi Analytics, another famous tool in the mobile BI market, improves the data interaction while allowing you to think again about your data analysis. Moreover, it combines the data into a single tool to give you proper access. It involves a simple three-step technique, including uploading an HTML file and transforming it into data, then data into graphs. You can then share the collected data with other devices.
How to Develop a Mobile BI Strategy?
Mobile BI strategy enables you to harness the power of BI on your business. Here is how you should create the same.
- Understand the mobile framework that you will use.
- Check if you can leverage hybrid (native + web browser) applications.
- Consider your company’s policies towards BYOD (Bring Your Own Device)
- Your business must have a solid business case.
- Look thoughtfully at highly aggregated data marts
- Skip robust transformations and hold your mobile BI app to excellence.
Mobile Business Intelligence: A Way to Harvest Multiple Benefits!
Now that we have understood a better understanding of BI, it’s time to move further to acknowledge its incredible benefits for businesses of all domains.
So, let’s move with us and unveil why business intelligence in mobile app development is a necessity today.
Smart Decision Making
It becomes easier for administrators to make smart decisions with the data stored, processed, and analyzed through the technological process. For example, if you belong to an eCommerce industry, you can seamlessly get an idea of which product your user is searching for and add the same to your eCommerce app or website. More new users will visit your online platform if you stock up on the right item at the right time. That’s where business intelligence helps.
Not just entrepreneurs but also users make the most of mobile business intelligence. While users enjoy the services per their demands and requirements, entrepreneurs ensure to offer the best services, products, offers, and discounts at the price that stimulates the user experience. As a result, the high-tech solution allows businesses to expand their progressive milestones while focussing on improved productivity.
The positive effects of ‘Word of Mouth’ are never a secret. While offering the users their required demands, most businesses receive word of mouth and thus increase their revenue. All in all boosted revenue is the result of enhanced customer satisfaction. And, when we have business intelligence that ensures the enhanced user experience, reduces wastages, and manages resources, revenue will surely meet the upper level.
Your business will have added powers and capabilities with mobile business intelligence. The analysis helps you move beyond the competitive edge and lets you identify the strengths, shortcomings, loopholes, and weaknesses.
Smart Information Collection
It becomes easier for entrepreneurs to customize and streamline the data corresponding to their business needs. That means you can have data on those aspects that form the objectives of your business.
Your customers will revisit you only if they are today feeling satisfied with your service. However, to satisfy them, you must broaden your views on their likes/dislikes. Thankfully, we have business intelligence to ensure the same. You can attract your users in multiple ways with the capabilities it provides to mobile BI apps. Not only with the data-analytics tactics but also via resolving their queries in a timely and automated manner.
How to Overcome the Challenges of Business Intelligence?
That’s not it!
To acquire those benefits, you must overcome the challenges.
Wondering what they are?
Machine learning algorithms only work if the number of users is within the predetermined size. That means it does not work if the number exceeds as the model is for a specific size. Expansion of the same means a bad impact on the technology that hinders its working procedure.
At times, devices do not support business intelligence mechanisms. Unfortunately, that means the dream of using BI will remain a dream as it becomes hard to get a clear idea of the analytics. But, with the right technological partner, you can leverage real-time business intelligence on your device and tackle every challenge approaching to collapse of your business.
It must have a good, reliable, and fast data network to use mobile BI. While in cities, we find such problems rarely, hilly, rural areas can encounter the problem due to less network speed.
Explore which features make a robust mobile BI application!
Wondering, what features you need to add for building a BI-integrated app?
Here is the answer!
It helps you schedule when to deliver your report to the management team or administrators. Then, after meeting specific conditions, you can set built-in alerts to manage reports.
You can use filters like drill down, views, resize rows and columns, add totals, pivot, and more to access the report conveniently.
Real-time business intelligence is only possible when it is visible to you. Therefore, ensure that it has the best data visualization.
But how to judge the visualization?
Just ensure that the information you find there is available in a simpler way. Graphs, summaries, charts, and reports provide a real-time overview. While drill-up and drill-down let you move through the hierarchical data, visibility ensures faster, more innovative, and enhanced decisions.
You will get the most out of analytics with features like tooltips, filtering, sorting, and scaling.
Businesses will include more than just big devices to get insight. They can access the data via mobile devices or tablets. So, for mobile business intelligence, you must include comments and screen sharing with different groups to ease collaboration.
You will have interactive reports, access to (Key Performance Indicators) KPIs, and mobile-optimized dashboards to make smart decisions.
How do businesses get to know which solution can work in one place or fail in another?
It’s through the Geospatial Analysis.
That’s why Business intelligence in the development of mobile apps is essential. You can also include this feature to expand your business reach to different regions and countries.
While getting insight into the graphical information, you can make a better decision.
Meta Data Layer
A metadata layer enables everyone in the organization to access information in simple language without coding and SQL (Structured Query Language). In addition, this feature will make it easier to run advanced analytics on the metadata layer instead of individual data elements.
Security and Data Protection
It is yet another feature you must include in a business intelligence solution. You will have security against all possible threats that can hamper the stored data. Although the main aim of BI is to collect, filter, organize, process, and analyze the data, it must follow the data privacy laws GDPR (General Data Protection Regulation) to ensure a protective shield against possible threats. Take consultation from the app development company that builds solutions while integrating business intelligence in mobile apps with all the added protection and accreditation that maintains data security.
Predictive analysis can help you skyrocket your business. It utilizes machine learning, statics, data mining, and artificial intelligence to analyze past and current events.
While analyzing, businesses can predict trends and forecasts. Instead, it helps enterprises detect inaccurate credit applications, fraud, theft, and faulty transactions.
Need for Mobile BI?
Building mobile business intelligence applications involves a more vast technology-driven process than you ever thought of. Such solutions lead to a transformation in the world and bring us days of innovations.
From just a communication purpose, mobile phones are evolved into a potent tool that collects data and uses it to serve the best services to their users.
Isn’t it amazing?
From the information we have provided above, you get an idea of how impactful it is for increasing your brand value. So, if you are looking for a technological partner who will integrate business intelligence in mobile app development and help you leverage the technology, it’s time to join Techugo.
With more than 750+ applications in just seven years, we have boosted the revenue ratio of many businesses.
Get in touch with our experts to explore more!
Frequently Asked Questions
1. What is business intelligence?
Business Intelligence is not just a single technology but a technological-driven process that collects, and analyzes the data produced by a company’s activities.
2. What is mobile business intelligence?
Mobile business intelligence relates to transferring business intelligence from desktops to mobile devices so that users can access the analytics on their mobile devices.
3. Does Google has a business intelligence tool?
Yes, Google has Google Data Studio, a leading business intelligence tool that consists of dashboarding & reporting features that are way beyond excellence.
4. Is AI a business intelligence?
BI and AI are different. However, they complement each other. While AI refers to computer intelligence, BI helps businesses in smart decision-making through its working model.
5. Does Facebook use business intelligence?
Facebook uses mobile business intelligence tools for financial purposes to tackle challenges related to big data.
6. How is business intelligence used today?
It is used in various ways by various departments, such as marketing, sales, and operations. While getting opportunities from quantitive analysis, customer insights, tracking performance, and other robust tools, many enterprises can take benefit from the mobile business intelligence market.
7. Is Excel a business intelligence tool?
Yes, excel is a business intelligence tool with more than 1.9 million users worldwide.
8. What are the three types of business intelligence analytics?
BI analysis consists of three types.
- Predictive Analytics: It brings future outcomes to users while taking historical and real-time data.
- Descriptive Analytics: An entire procedure of recognizing trends via current data and historical events.
- Prescriptive Analytics: Provides answers to questions like “what should my business do?” while taking data.
9. What problems can business intelligence solve?
Issues that you can resolve with business intelligence are
- Slow market response
- Limited access to data
- Customer loss
- Poor performance management
- Reliance on tech teams
10. How does Netflix use business intelligence?
Netflix predicts the user’s watch history, ratings, demographics, and search history using the predictive analytics of business intelligence.