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Mobile Business Intelligence: What It Is and Why It's Important

Jason Beres
Infragistics

Business leaders are in the unique position of having immediate access to huge amounts of data in today's smartphone and laptop-dominated world. They are also under pressure to make data-driven decisions and mobile business intelligence can one of the most valuable decision making tools in their arsenal.

Organizations can maximize profit and compete more effectively by taking advantage of mobile business intelligence, which provides instant access to valuable data that allows them to solve business problems in real-time.


Mobile Business Intelligence is Relevant

Even though business intelligence has been around since the 1950s, mobile business intelligence didn't exist until the late 1990s. When we moved away from flip phones and to advanced smartphones, mobile business intelligence began to gain a true reputation for efficiency. As mobile devices became better and more useful, so did mobile business intelligence apps. Mobile business intelligence apps have become one of the most effective ways to collect and analyze data, as well as increase performance at a time when quick solutions can provide a competitive advantage.

Mobile business intelligence solutions provide users with relevant and timely insights right within their workflow. The software also extends existing desktop business intelligence applications so that they can be used on a mobile device. Mobile business intelligence allows users to access business-related data and information in real-time so that they can make better-informed decisions and keep track of business performance from mobile devices. It allows you to track every metric anytime and from anywhere.

Mobile business intelligence gives users important metrics, analytics and information, such as:

■ Key performance indicators (KPIs)

■ Sales reports

■ Business metrics

■ Dashboards

These valuable analytics are accessible at any time and any place. You could be working remotely, traveling, or in an important meeting, and still be able to pull important metrics from your smartphone. Leveraging mobile business intelligence gives businesses an advantage by letting them explore data in real-time, with increased interactivity and without needing outside assistance (like an IT team).


The Need for Mobile Business Intelligence in Today's Business World

Mobile business intelligence ensures seamless access and analysis of information in a way that increases business value and competitive edge by letting you take your data with you virtually anywhere. Moreover, with mobile business intelligence, you can make faster and smarter business decisions even under high pressure, and with ease. This helps to remove subjective decision-making, which in its turn fosters trust across teams due to the transparency of data and processes. Through mobile business intelligence, operational efficiency is improved and organizational collaboration is enhanced.

An example of the utilization of mobile business intelligence is in Major League Baseball (MLB). Statistics are everything in the MLB. Managers, coaches, and players have tablets in the dugout to determine the best way to get outs on defense and get runs on offense using analytics. Pitchers can look at a batter's stats (how well they hit against fastballs, curveballs, etc.) before they throw, and conversely, batters can look at a pitcher's arsenal (what they tend to throw, how fast, and where in relation to the strike zone) before they get to the plate. Each MLB team is a business, and having data at their fingertips makes game time baseball decisions less mental and subjective and more predictive. These measures taken to utilize mobile business decisions leads to a higher chance of winning and increased profit. A team not utilizing statistical software during a game would be putting themselves at a severe disadvantage.

With constantly improving data visualizations and huge improvements in native mobile business intelligence solutions, businesses receive:

■ Reduced time for processing and receiving the data 

■ The ability to make speedy, confident, well-informed, data-driven decisions regarding your business

■ Better performance and an increase in revenue

■ Improved internal communication and customer satisfaction


Choosing a Mobile Business Intelligence Solution

To maximize the best opportunities and benefits of mobile business intelligence, organizations need the right solution. Mobile business intelligence apps give you the ability to stay close to your data, analyze, see reports and base your decisions on your understanding of the evidence. Some business intelligence solutions have integrated mobile capabilities into their existing architecture, while other solutions require an additional server for mobile publishing.

In order to enhance your app with beautiful visualizations that run native across all platforms and that will be professionally maintained for years, you need to depend on an app that provides an intuitive interface. You should be able to use this mobile business intelligence app on any mobile device and still be in control of your data. It should allow you to easily view, filter, and sort data, push notifications for alerts, and be integrated with your browser so you can share reports to your own or your colleagues' mobile devices. The more control and freedom you have over how and what data you see - the better.

Jason Beres is COO and Senior Software Development Executive at Infragistics

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Mobile Business Intelligence: What It Is and Why It's Important

Jason Beres
Infragistics

Business leaders are in the unique position of having immediate access to huge amounts of data in today's smartphone and laptop-dominated world. They are also under pressure to make data-driven decisions and mobile business intelligence can one of the most valuable decision making tools in their arsenal.

Organizations can maximize profit and compete more effectively by taking advantage of mobile business intelligence, which provides instant access to valuable data that allows them to solve business problems in real-time.


Mobile Business Intelligence is Relevant

Even though business intelligence has been around since the 1950s, mobile business intelligence didn't exist until the late 1990s. When we moved away from flip phones and to advanced smartphones, mobile business intelligence began to gain a true reputation for efficiency. As mobile devices became better and more useful, so did mobile business intelligence apps. Mobile business intelligence apps have become one of the most effective ways to collect and analyze data, as well as increase performance at a time when quick solutions can provide a competitive advantage.

Mobile business intelligence solutions provide users with relevant and timely insights right within their workflow. The software also extends existing desktop business intelligence applications so that they can be used on a mobile device. Mobile business intelligence allows users to access business-related data and information in real-time so that they can make better-informed decisions and keep track of business performance from mobile devices. It allows you to track every metric anytime and from anywhere.

Mobile business intelligence gives users important metrics, analytics and information, such as:

■ Key performance indicators (KPIs)

■ Sales reports

■ Business metrics

■ Dashboards

These valuable analytics are accessible at any time and any place. You could be working remotely, traveling, or in an important meeting, and still be able to pull important metrics from your smartphone. Leveraging mobile business intelligence gives businesses an advantage by letting them explore data in real-time, with increased interactivity and without needing outside assistance (like an IT team).


The Need for Mobile Business Intelligence in Today's Business World

Mobile business intelligence ensures seamless access and analysis of information in a way that increases business value and competitive edge by letting you take your data with you virtually anywhere. Moreover, with mobile business intelligence, you can make faster and smarter business decisions even under high pressure, and with ease. This helps to remove subjective decision-making, which in its turn fosters trust across teams due to the transparency of data and processes. Through mobile business intelligence, operational efficiency is improved and organizational collaboration is enhanced.

An example of the utilization of mobile business intelligence is in Major League Baseball (MLB). Statistics are everything in the MLB. Managers, coaches, and players have tablets in the dugout to determine the best way to get outs on defense and get runs on offense using analytics. Pitchers can look at a batter's stats (how well they hit against fastballs, curveballs, etc.) before they throw, and conversely, batters can look at a pitcher's arsenal (what they tend to throw, how fast, and where in relation to the strike zone) before they get to the plate. Each MLB team is a business, and having data at their fingertips makes game time baseball decisions less mental and subjective and more predictive. These measures taken to utilize mobile business decisions leads to a higher chance of winning and increased profit. A team not utilizing statistical software during a game would be putting themselves at a severe disadvantage.

With constantly improving data visualizations and huge improvements in native mobile business intelligence solutions, businesses receive:

■ Reduced time for processing and receiving the data 

■ The ability to make speedy, confident, well-informed, data-driven decisions regarding your business

■ Better performance and an increase in revenue

■ Improved internal communication and customer satisfaction


Choosing a Mobile Business Intelligence Solution

To maximize the best opportunities and benefits of mobile business intelligence, organizations need the right solution. Mobile business intelligence apps give you the ability to stay close to your data, analyze, see reports and base your decisions on your understanding of the evidence. Some business intelligence solutions have integrated mobile capabilities into their existing architecture, while other solutions require an additional server for mobile publishing.

In order to enhance your app with beautiful visualizations that run native across all platforms and that will be professionally maintained for years, you need to depend on an app that provides an intuitive interface. You should be able to use this mobile business intelligence app on any mobile device and still be in control of your data. It should allow you to easily view, filter, and sort data, push notifications for alerts, and be integrated with your browser so you can share reports to your own or your colleagues' mobile devices. The more control and freedom you have over how and what data you see - the better.

Jason Beres is COO and Senior Software Development Executive at Infragistics

Hot Topics

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...