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What Is Mobile Business Intelligence (BI)?

Vrinda Mathur
Jul 21, 2023

Companies are increasingly under pressure to make better judgments faster. Mobile business intelligence (BI) systems are used to stay up with competitors as well as to acquire an advantage over them. This will simply not work if the information used is out of date.

The pace of business has suddenly slowed, necessitating a transformation in decision-making processes. The proliferation of internet-enabled mobile devices has reached the stage where they should be regarded as a significant contributor to rapid decision support.

This blog will explain why this is the case, how businesses may profit from mobile BI, and what to look for when choosing a software solution. So moving further, lets try and understand.

What is Mobile BI?

Mobile business intelligence is a technology-enabled process in which a company extracts valuable insights from raw data and delivers them to end users via mobile devices. In other words, mobile BI enables users to access analytics and reporting capabilities via smartphones, tablets, wearables, and other mobile devices.

End users can approach business intelligence capabilities via portable devices in two ways:

Web-based BI solutions are BI software that can be accessed through a web browser. Users do not need to download or install web-based BI software to access it; all they need is an internet connection and a browser. These solutions are also device-agnostic, meaning they may be accessed by any device independent of its hardware or software configuration.

Native BI applications are designed expressly for a given device in an OS-compatible language (mainly Android and iOS) that must be installed beforehand. Because they enable hardware-specific features (touch gestures, geolocation, camera, microphone, and so on), native BI applications may work offline and provide a better customer experience.

Mobile Business Intelligence (BI) refers to the ability to access and analyze BI-related data on mobile devices and tablets. It simplifies the display of KPIs, business indicators, and dashboards. Mobile BI allows users to access and use the same features and capabilities as desktop / app-based BI tools.

Many people thought that mobile BI, spurred by the popularity of mobile devices, would be a huge wave in BI and analytics a few years ago. Nowadays, there is a sense of disillusionment in the market, and users place far less emphasis on this tendency. Businesses nowadays have a plethora of data. In today's fast-paced world, everyone requires real-time data access to make data-driven decisions at any time and from any location.

The number of organizations that use mobile apps, such as SaaS applications, for important business activities is growing by the day. Whether you are a CEO, salesperson, digital marketer, department manager, or another employee, mobile BI can help you increase productivity, improve decision-making, and promote your organization overall.

Also Read | What is Mobile Business Intelligence?

Practices for Mobile BI

Mobile business intelligence differs significantly from traditional business intelligence. The gadgets (tablets instead of desktops), the needs (obtain details for this customer standing here, not all customers), and the attention span of your audience (on the go, perhaps distracted) are all different.

However, the potential benefits are enormous. For starters, you can quit making decisions in the absence of data. Mobile business information may be integrated much more deeply into the places where work is done, such as hallway dialogues, stand-up meetings, executive briefings, and conversations with customers and partners. Assuming that everyone is at their desk or in front of their computer when they require data limits the possibilities of business intelligence.

Practices for Mobile BI

Practices for Mobile BI

Avoid dashboard proliferation:

Mobile BI is more than just displaying the same old dashboards on a tablet. The trick is to adapt rather than reinvent the wheel. Ultimately, you'll want to utilize many of the same dashboards in somewhat different ways on the road and at your desk.

Avoid the dashboard proliferation trap. Don't re-create your primary dashboards for each new device. Rather, embrace the "author-once, distribute-everywhere" approach: prepare to design your dashboards once or adapt existing ones, and then make them available on all necessary devices.

Use best visualization practices:

We've compiled some of the best practises for your mobile layouts:

Stack your views vertically one after the other so that each one can be used. Create your own dashboard and place it on the first screen. Allow future views to scroll down rather than forcing the user to scroll across. Allow the title of the following view to appear at the bottom of the first screen to alert the user that more content is available below the fold.

Place the majority of your filters and legends near the bottom of your viz. If there is one crucial filter that the majority of users require, place it near the top of the page so that they see it first.

Consider a mobile audience:

Another significant distinction between providing data for mobile and desktop use is that you cannot assume consumers have the time to dig deeper. Your visitors will most likely be looking for high-level takeaways or a specific piece of information.

Make the following minor but significant adjustments as you review your dashboards with mobile users in mind:

Allow drill-down: Your dashboards should serve as starting points for more specific data. Make sure your solution allows users to drill down into multiple data slices so they may follow their natural stream of thought. A report on call center productivity and customer satisfaction, for example, should allow you to drill down into shifts and personnel at a given call center. Otherwise, you would be unable to diagnose issues while doing call center reviews.

Provide filters that are acceptable for on-the-go employees: Creating a view for a customer service representative who will be visiting customers? Instead than forcing him to browse by industry or area to discover a customer, include a customer search filter. But don't go overboard: providing the exact proper set of filters, no more and no less, can assist your employees in making better use of mobile BI.

Provide content search: Having the proper information in a dashboard is crucial, but none of that matters if you can't locate it in the first place. Most businesses have dozens, if not hundreds, of reports. Make it simple for users to search for material by project, publisher, date, name, and other criteria.

Take advantage of the situation:

When your user is out in the world, doing work that they would not accomplish at a desk, they lack one thing: context. Location is the first and most important component of context. Smartphone GPS can help people find what they need faster.

Following location, it is the camera sensors in our devices. Phone cameras may be used to read barcodes and QR codes. In the future, image detection could be used to aid in the selection of data elements.

Leverage mobile’s strength as a social device

Both phones and tablets are social gadgets. For example, sending a screenshot of a dashboard to a coworker with a note. Tablets, on the other hand, are easy to transport, start up quickly, and can be passed back and forth. Use this simple guide/checklist to get social using mobile data.

Allow comments on views so that inquiries and observations do not go unanswered.

Allow users to walk through data live during a meeting by providing interactive filtering, sorting, panning, and zooming. Make sure your solution is swift enough to keep up with the speed of a conversation. If the dashboard does not load promptly, people will proceed without the vital information. Consider whether you require offline capabilities, even if they are as simple as recently updated snapshots of your data.

Also Read | 10 Analytics and Business Intelligence Trends for 2021

Why is Mobile BI Significant?

Business intelligence enables organizations to ask questions in plain language and receive clear responses. Instead of relying on educated guesses, they can make decisions based on what their company data tells them - whether it's about production, supply chain, customers, or market trends.

Business intelligence provides past and current insights into the business," writes Maamar Ferkoun on his IBM cloud computing and business intelligence blog. "This is accomplished by utilizing a variety of technologies and practices, ranging from analytics and reporting to data mining and predictive analytics." BI enables an organization to build a business strategy based on factual data by presenting an accurate picture of the firm at a certain point in time.

Businesses nowadays have a plethora of data. In today's fast-paced world, everyone requires real-time data access to make data-driven decisions at any time and from any location. The number of organizations that use mobile apps, such as SaaS applications, for important business activities is growing by the day. Whether you are a CEO, salesperson, digital marketer, department manager, or another employee, mobile BI can help you increase productivity, improve decision-making, and promote your organization overall.

Challenges faced by Mobile BI

Despite all of the benefits that mobile BI solutions provide, organizations face a number of hurdles when attempting to achieve successful platform adoption

Customers must consider usability regardless of distribution method. The mere display of familiar information in a mobile browser (even as HTML5) does not imply that it can be used intuitively. Companies and app developers must exercise extreme caution when developing the user interface to secure the app's acceptability, particularly in operational circumstances where workers may be unfamiliar with utilizing BI.

Security and privacy may be issues when using a mobile BI solution. Companies must ensure that a solid security setup is in place to secure important company and user data. In addition, the mobile strategy should be consistent with existing security protocols.

Mobile devices are readily hacked, misplaced, or stolen. Using mobile BI may increase the danger of sensitive or confidential information being compromised. The design of mobile BI applications brings unique problems to developers due to the constrained screen size of mobile devices. Each gadget and browser operates in a unique manner.

To summarize, in order to get the most out of mobile, you must implement a plan that uses your existing BI assets while modifying them for a mobile context. Each of these recommended practices is crucial to a mobile business intelligence project's success. They will assist you in making an informed transition into the mobile age. As we free business intelligence from the desk, collaboration, analytics, and security will continue to improve.

Mobile is the most efficient way to keep track of your data on your tablet or phone. With rapid and fluid viewing, you may move from query to insight in a matter of seconds.

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What Is Mobile Business Intelligence (BI)?

What is Mobile BI?

Practices for Mobile BI

Avoid dashboard proliferation:

Use best visualization practices:

Consider a mobile audience:

Take advantage of the situation:

Leverage mobile’s strength as a social device

Why is Mobile BI Significant?

Challenges faced by Mobile BI

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