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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

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...