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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

Production incidents rarely announce themselves as database problems. They appear as slow transactions, timeouts, rising response times, or an application struggling under a workload it previously handled. APM provides an essential starting point. It can identify a slow transaction path, highlight an affected service, and show that a database dependency is consuming more time than expected. But identifying the database as part of the problem is not the same as explaining what is happening inside it ...

Cloud teams are under constant pressure to reduce spend without slowing development or increasing operational risk. They are deploying autoscalers, rightsizing workloads, enforcing resource requests, reviewing utilization dashboards, and building FinOps processes around cloud-native environments. Yet the results often disappoint ...

Ask most IT leaders about their biggest concern with AI and you'll hear the same answer: hallucinations ... Today, however, the conversation has shifted ... As organizations move beyond chatbots and experiments, they are increasingly deploying AI agents that perform multi-step tasks. These systems retrieve documents, query databases, call APIs, generate reports, write code, and make recommendations. The issue is not whether the model can reason. The issue is whether the organization can see, verify, and govern the decisions being made along the way ...

While organizations want to take control of their telemetry, building telemetry pipelines from scratch can be a very daunting, complicated task, even when leveraging open-source standards like OpenTelemetry. It requires specialized knowledge across distributed systems, data engineering, and security. This fragmented approach across systems causes higher operational costs; it puts a strain on resources and reduces efficiency as teams have to work with different interfaces and processes ...

For decades, enterprise networks were designed around a simple assumption: work happened inside the office. Applications lived in centralized data centers, employees connected through internal infrastructure, and security focused on protecting the perimeter that surrounded everything ... But the way organizations operate today bears little resemblance to that environment. Cloud platforms host critical applications, employees connect from homes and airports as often as they do from offices, and partners collaborate through shared systems that exist far beyond corporate walls. In short, the corporate network no longer resembles the environment it was designed to protect ...

As an analyst who researches how IT organizations design, build, and operate their networks, I find that network data is a constant source of pain. Network teams struggle with data quality, fragmentation, authority, access, and trust. And these issues undermine everything they try to do. Here are the numbers: Only 45% of network teams are completely confident in the accuracy of their network source of truth, which documents the intent of their network ...

The 2026 Global Data Center Survey from Uptime Institute reveals an industry navigating workforce constraints, escalating outage expenses, even as rising costs remain the top concern for management teams ...

The next observability gap may not be in the code. It may be under the rack. That sounds strange until you think about how AI incidents actually feel in the middle of an investigation ... The application dashboard may be accurate. It may also be stopping at the wrong boundary. AI systems depend on software, but they also depend on a dense physical stack: racks, power paths, thermal margin, maintenance activity and, in many environments, liquid cooling. Those physical dependencies can change slowly before they look like a software incident ...

Certificate expiration is the rare outage you can see coming. Every TLS certificate carries the date it stops working, so the moment it will begin breaking connections is knowable in advance. That's what makes an expired certificate such a frustrating way to lose a service. What's changing now is how often that date comes around ...

Enterprises operate different combinations of workloads across cloud, hybrid and multicloud environments. For business-critical workloads, teams need to consider monitoring and observability early so they can detect health issues, investigate failures, and understand operational impact. Organizations place workloads on cloud platforms based on a combination of technical requirements, economics, existing dependencies, organizational standards, and business priorities. Their monitoring priorities therefore depend on what they operate and where those systems run. Those priorities will not look the same for every organization ...