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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

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

40% of organizations deploying AI will implement dedicated AI observability tools by 2028 to monitor model performance, bias and outputs, according to Gartner ...

Until AI-powered engineering tools have live visibility of how code behaves at runtime, they cannot be trusted to autonomously ensure reliable systems, according to the State of AI-Powered Engineering Report 2026 report from Lightrun. The report reveals that a major volume of manual work is required when AI-generated code is deployed: 43% of AI-generated code requires manual debugging in production, even after passing QA or staging tests. Furthermore, an average of three manual redeploy cycles are required to verify a single AI-suggested code fix in production ...

Many organizations describe AI as strategic, but they do not manage it strategically. When AI plans are disconnected from strategy, detached from organizational learning, and protected from serious assumptions testing, the problem is no longer technical immaturity; it is a failure of management discipline ... Executives too often tell organizations to "use AI" before they define what AI is supposed to change. The problem deepens in organizations where strategy isn't well articulated in the first place ...

Across the enterprise technology landscape, a quiet crisis is playing out. Organizations have run hundreds, sometimes thousands, of generative AI pilots. Leadership has celebrated the proof of concept (POCs) ... Industry experience points to a sobering reality: only 5-10% of AI POCs that progress to the pilot stage successfully reach scaled production. The remaining 90% fail because the enterprise environment around them was never ready to absorb them, not the AI models ...

Today's modern systems are not what they once were. Organizations now rely on distributed systems, event-driven workflows, hybrid and multi-cloud environments and continuous delivery pipelines. While each adds flexibility, it also introduces new, often invisible failures. Development speed is no longer the primary bottleneck of innovation. Reliability is ...

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...