Using GenAI to Enable Software Development and Support

Can GenAI Help My Software Developers and IT Team?

According to the Global Skill Development Council (GSDC), Generative AI (AKA GenAI) provides numerous benefits to businesses, software development companies, and development professionals. GSDC quotes a McKinsey Study in which the renowned research firm reported a 35-45% productivity improvement among development teams using GenAI.

Here are just a few of the many benefits GenAI can provide for software, app, and web development, and for your development team, and your business.

How Does GenAI Improve Software Development Projects and Technology Support?

Understanding and Addressing Requirements and Features – GenAI can quickly analyze and interpret complicated requirements and needs, create use cases, and generate user acceptance criteria to address these needs.

Test Scenarios, Scripts, and Test Planning – When the development team uses Generative AI, it can quickly and easily generate test cases, to provide broader and deeper coverage of features and function testing, and avoid unanticipated issues, thereby reducing rework, and improving quality.

Documentation – GenAI handles documentation well, freeing developers to focus on other activities. It can easily generate release nodes, user guides, and team documentation for handoff from one phase of development to the next.

Code Generation – Perhaps the most popular aspect of GenAI among developers is its ability to automate code generation, and to provide suggestions to enhance, code and generate functions, using contextual understanding of the code. GenAI can analyze existing code, documentation and data schemas and use that information to complete low-level coding activities, establish configuration files, build scripts, and create folder structures, freeing the team to focus on other tasks.

System Security – Developers can use GenAI to ensure security and standards, industry and government compliance. GenAI can notify teams of breaches and prevent attacks, and it can spot patterns and identify gaps. This automated process can monitor access, logins, and data transfers and notify the team of noncompliance and improper data handling.

Workflow and Design – GenAI can act as a brainstorming partner for professional developers or user interface (Ux) design. Suggesting concepts and creating mock-ups or prototypes for consideration. Designers maintain control of the design process, but can use GenAI as a partner to quickly and easily create and consider options. GenAI tools can also be used to generate templates, automate systems design, and solution architecture, and consider features and user context to simplify development and prototyping, and allow developers and designers to troubleshoot potential issues.

Deployment – Development and IT teams can use GenAI to review system usage, and recommend the best time to release updates and patches, and to monitor and rollback upgrades when errors are detected. GenAI can also monitor and analyze user traffic and scale apps to prevent downtime and ensure high performance.

There are many other benefits and advantages to GenAI that can support and enable development and IT teams. In this article, we have covered a few examples.

As GenAI advanced, Artificial Intelligence (AI) technology companies continue to create tools that make it easier for development teams, software companies, and businesses to easily adopt and use Generative AI for ongoing technology and infrastructure support, and for software, application and web development and integration.

In summary, when used appropriately, and with careful planning, Generative AI (GenAI) can significantly improve the accuracy and time-to-market for software development projects by automating tasks, increasing productivity and efficiency, and reducing human error. It will free professional developers to focus on more strategic activities and collaboration, and pursue innovation.

Contact Us to find out more about our AI Technology Capabilities and Review our White Paper, ‘What is AI and How Can it Help My Business?,’ and our Blog article, ‘Improve Apps and Software with Artificial Intelligence.’

Enjoy Successful Start-Up Product Launch with MVP Design

The MVP Approach to Start-Up Product Design Ensures Success

Most start-up businesses operate on a very, very tight budget. Business executives juggle requests for resources, staffing, investment, marketing and advertising, and other expenses, all the while trying to keep their financial heads above water.

So, when it comes to a new software product idea, these start-ups must carefully consider the cost of developing that product and weigh the possibility of product missteps and failure against the time, investment and resources required to get the product into the market.

‘If you have what you think is a great software, app or site idea, assure your goals are met, and enjoy the promise of being among the 31% of companies to launch a successful product! Combine the Minimum Viable Product (MVP) approach with a skilled partner, and you will be on your way to a timely, cost-efficient product launch and improved customer satisfaction.’

According to the Standish Group, only 31% of software projects are considered successful. Those that fail often do so because of budget overruns, missed deadlines, and missing features and some just never make it to market because the project is cancelled midway through development. These statistics are confirmed by McKinsey, Harvard Business Review and other respected consulting and research firms.

Perhaps the most unfortunate aspect of this dismal picture lies in the fact that these failures don’t have to happen. With the right requirements gathering, planning and the support of expert Minimum Viable Product (MVP) developers, the business can design, develop, test and get feedback on a product without full investment and a full blown product launch.

Why bring your start-up to its knees with a poorly planned (but promising) software product, app or website? What you need to do is to test your theories about functionality and features, and to do so in an environment designed to help you capture customer and user feedback to refine the product and prevent expensive, time-consuming missteps and failures.

Your start-up business can leverage a Minimum Viable Product (MVP) to test product assumptions and achieve actionable insights with rapid prototyping, user testing and iterative development to refine the concept and align your product vision with user needs. This process helps the business to optimize investment and mitigate risk.

Building your product with seamless integration and clean architecture and a roadmap that will support future expansion and additional features is key to gaining traction in the marketplace.

Minimum Viable Products Ensure Start-Up Product Success With Customer Feedback and Optimized Investment

The MVP process can provide numerous benefits including:

  • Balancing speed with cost efficiency
  • Testing theories and product ideas to gain user insight
  • Optimizing resources and investment to achieve goals
  • Testing with targeted users and audiences to refine products prior to full scale launch
  • Ensuring approval from investors and stakeholders with proven results
  • Adjusting to market trends and customer needs to build momentum with first and future releases

‘With the right requirements gathering, planning and the support of expert Minimum Viable Product (MVP) developers, the business can design, develop, test and get feedback on a product without full investment and a full blown product launch.’

If you have what you think is a great software, app or site idea, assure your goals are met, and enjoy the promise of being among the 31% of companies to launch a successful product! Combine the Minimum Viable Product (MVP) approach with a skilled partner, and you will be on your way to a timely, cost-efficient product launch and improved customer satisfaction.

Contact Us to find out how our Minimum Viable Product Design And Development Services, Enterprise Software Services, Offshore Outsourcing, Small Business, and Digital Transformation Services can help you achieve your goals. Read our free article, ‘Should My Start-Up Business Create A Minimum Viable Product (MVP)?, and ‘What Is A Minimum Viable Product And Why Should My Business Care?’

Why Integrate Artificial Intelligence in New Software or Apps

How Can I Make the Most Out of AI in My Apps and Software?

The University of Cincinnati reports that at least 50% of businesses state that they use AI for at least two business functions.

If your business is considering a new software application, mobile app or website for consumer or business use, it is likely you are also considering how to incorporate Artificial Intelligence within that project. But, before you make that decision, there are a number of factors to include in your project review.

First, it is important to understand WHY you want to include AI in your project. The reasoning cannot simply be because AI is the new buzzword or the newest technology. Ask your team what they hope to accomplish with AI. What features or functionality can AI satisfy that are critical to your project success?

Once you have an idea of how AI might appropriately fit within your project, you will want to look at the various options and choices to carefully select the right technology, and the right place within the structure of the project where it would be best to implement this technology and these features.

Gartner specifies three ways in which AI is best considered for business use.
  • To defend the existing business from competitive inroads with incremental improvements to existing processes and workflows.
  • To extend the reach of the business in the market, adding customers or products, etc. by modifying processes to accelerate growth and profitability.
  • To upend the market or the business environment using AI to steer its business in a new direction, alter its business model or transform in ways that redefine the market.

When approaching the management team to gain approval for AI within your business or consumer app, it is important to look at the wide variety of reasons other businesses have taken this approach and the benefits they have achieved through the use of AI in mobile apps, on websites and in software solutions.

What Are the Benefits of AI Integration in Mobile Apps, Software and Websites?

 

Here are just a few examples:

Accuracy and Efficiency

Artificial Intelligence can reduce human error and speed results, thereby mitigating risk and completing tasks and processes quickly and without rework.

Productivity

Tasks and activities handled by AI features and functionality can free staff and team members to perform more strategic activities and allowing the organization to optimize staff skills and knowledge.

Revenue

Maybe you are using AI to refine and complete business processes or for data analytics or even to create code and streamline the software development process. Whatever your business need, you can accelerate projects and complete products more quickly to generate revenue. You can improve forecasting, sales and marketing, reduce fraud, and quickly create new products and services.

Agility

Businesses that employ AI find it easier to improve agility and to adapt to change more quickly. It is easier to recognize patterns and react to trends in customer buying behavior and needs and in resource planning.

Customer Satisfaction

Whether you are trying to increase self-serve for customers and make it easier for them to complete tasks, order products and get more information, or you want to personalize your approach to target specific customer needs and anticipate their requirements, AI can help you improve customer retention and satisfaction. Gartner reports that the most valuable AI use cases for customer service and support include human agent enablement, low-effort self-service, automating operations support and agentic AI.

These are just a few examples of the benefits of using AI in applications, software and technology products and projects.

Contact Us to find out more about our AI Technology Capabilities and Review our White Paper, ‘What Is AI And How Can It Help My Business?,’ and our Blog article, ‘Improve Apps and Software with Artificial Intelligence.’

How Can Digital Transformation Help My Small Business?

What Benefits Does Digital Transformation Offer My SMB?

If you are an owner or a manager of a small business (SMB), you are quite familiar with the challenges and the issues your team faces on a daily basis. While the term ‘small business’ may lead some to believe that a company consists of two or three people, the small business umbrella comprises companies that have up to 500 employees, and businesses that generate several million dollars. These may be startups, family businesses or even local or regional businesses, but they contribute to the economy, and they provide employment, and innovation.

If your small business is struggling to develop or reimagine a strategy for competition and growth in today’s challenging business environment, you may wish to consider the opportunities provided by Digital Transformation (Dx). While this approach may seem counterintuitive (spending money to upgrade technology and review digital and online processes, products, etc.), it is clear that integrating technology to enhance customer services can support growth, improve productivity and free team members to focus on key market initiatives, strategy and competitiveness.

‘If your business plans to incorporate Digital Transformation (Dx) into its competitive and strategic initiatives, it is imperative that the team consider, not just the technology they will adopt, but the way in which they will use this technology.’

In a study engaged by Zenkins Consulting, it was reported that:

  • 87% of SMBs say digital tools are critical to their survival
  • 2.4× more revenue growth is achieved by digitally advanced SMBs compared to their peers
  • 43% of cyberattacks target small businesses — yet most SMBs still lack adequate defenses
  • $1.8 million is the average cost of a data breach for a small business in 2024–2025

So, while small businesses (SMBs) may balk at the idea of a strategic review and upgrade of digital systems, technology and processes, research reveals that these businesses will be left behind, put at risk, or challenged to compete if they do not upgrade systems and solutions, and integrate workflow and processes.

Is Digital Transformation Worth the Investment for a Small Business (SMB)?

If your business plans to incorporate Digital Transformation (Dx) into its competitive and strategic initiatives, it is imperative that the team consider, not just the technology they will adopt, but the way in which they will use this technology, and these new approaches to workflow, tasks and activities to improve customer satisfaction, team productivity and efficiency, security and risk management, and other critical factors.

Begin with an assessment of the current infrastructure, the solutions your team uses to complete tasks, store data and track information, and the performance, security and accessibility of these solutions. Consider how tech savvy your team is, and ensure that your plan addresses the need for training or support as the team adopts new tools and work processes. Think about how your customers interact with your team, and how you can use technology to streamline, improve and enhance customer interaction.

Today’s Dx projects will likely incorporate Cloud integration, process automation, data analytics, cybersecurity, and the use of Artificial Intelligence (AI) to perform tasks, answer inquiries, make recommendations, provide reporting, monitor and manage, etc. You may also be considering a mobile app for your customers, or a mobile application to satisfy the needs of your team while they are on the road.

Once you have completed your assessment (and don’t forget to include your business users, and customers in this process), establish a strategy and a budget, and carefully consider the sequence and staging of each phase, so that you can manage the financial obligation, staff the project, and roll out the new approach, while mitigating risk.

Because the Dx process typically involves an holistic view of the organization, and an overarching plan of engagement, it is wise to employ the services of an expert IT consulting team, to ensure that you don’t skip any steps, and that the outcome you intended is the outcome you will achieve.

‘While implementing Dx may seem counterintuitive (spending money to upgrade technology and review digital and online processes, products, etc.), it is clear that integrating technology to enhance customer services can support growth, improve productivity and free team members to focus on key market initiatives, strategy and competitiveness.’

User Adoption of BI Tools Must Include a Value Metric

BI Tool Adoption is Measured by Value to the Organization

You implemented a business intelligence (BI) solution, and your IT team, or perhaps your IT consultant, has given you the good news! According to all the evidence provided by user visits, session times and audit logs, your BI tools are a rousing success. But, before you celebrate your Return on Investment (ROI) and user adoption results, you should dig a little deeper.

A recent BuiltIn.com article, cited the 2025 Self-Service Business Intelligence study from Dresner Advisory Services, in which Dresner reported that user self-service BI tools ranked 11th out of 65 technologies as strategic to the adoption of BI, with 60% reporting that self-serve is critical or very important to the adoption of BI tools.

If you have already committed to self-serve business intelligence and augmented analytics, your management team probably agrees with these statistics.

But, can you really say that your users have adopted and are using BI solutions just because the reported user visits and audit logs say so?

The true definition of user adoption lies in the use of a solution to drive results and derive value. In order to accurately determine the value of the business intelligence solution and the real user adoption picture, you must look at how analytics is integrated within workflow and business processes, and how often analytical data is used in presentations in staff meetings, to justify a budget or pricing decision or a change to an existing strategy.

Are you users accessing the business intelligence solution on a daily basis? What features do they use most often and why do they find them helpful? What feedback do you have from users to indicate usage and satisfaction with the solution?

While audit logs, session times and login data can help you understand if the solution is in use, you need to understand the real benefits of the solution and establish measurable goals that provide metrics for user adoption. User adoption metrics reveal how, when and where users integration the solution within their daily workflow and indicate engagement and value to the user and to the organization.

So, when your IT team or IT consultant presents reports that capture audit logs, or session times or user visits, ask for more context. How are the users leveraging these tools today to change how they work? How do these modified processes improve the user’s daily tasks, collaboration, etc.? Does the use of BI tools improve results, ensure that there is less rework, or provide a clearer picture of where the issues, challenges and opportunities lie?
Audit Logs and User Visits Do NOT Reveal the Value of Self-Serve BI Tools or True User Adoption

Perhaps it might be easier to understand a simple audit log or user login vs. the real value of user adoption by comparing it to the purchase of a pair of new running shoes. The fact that the runner wears the new shoes every day does not tell you how the shoes improve results. Does the runner achieve a faster completion time? Does the runner find that they have less discomfort or muscle fatigue when they wear the new shoes? If they invested a significant amount of money in these new shoes, they will want measurable results!

When a business implements self-serve business intelligence (BI), they usually have promised results to the management team. Giving the management team an audit log is not going to prove the worth of the new solution. However, if the business can show real results and compare previous processes to new workflow to elaborate on time-to-market, mitigation of rework, etc., the user adoption metrics reveal not just the numbers, but the improved results.

Contact Us to find out more about the Benefits Of Augmented Analytics And BI Tools for your enterprise and how you can successfully implement this approach within your organization.

Software Product Development vs. Software App Development

Does Software Product Development Require Different Skills?

The Knowledge Academy recently published an article outlining the skills required by a Software Developer. The article includes skills like technical proficiency, programming languages, frameworks and libraries and soft skills like collaboration, communication and time management. All of these skills are certainly preferred, if not required.

But, if you are a business with an idea for a software product, or mobile app for the consumer market, and you are looking for the right development team to meet your needs, these technical and soft skills may not be enough! The reason? Finding a development team with the right skills is important, of course, but when it comes to software product development, not all teams are created equal.

‘The team you select should be well-skilled in cutting-edge technologies like Artificial Intelligence (AI), analytics, and most importantly, product roadmap management, and upgrade and release management. Other critical skills and experience include software engineering, in software integration and architecture, and in building, testing and assessing results from a Minimum Viable Product (MVP).’

Put simply, software application development is NOT the same as software product development. There are additional skills required to ensure that a software product is market ready, and that the business and consumer are protected throughout the process.

Be sure that the IT consulting firm you select must have the breadth and depth of skills and resources in all areas of software product development and is able to staff and support your project throughout the development lifecycle and for maintenance and support once the product is in the market.

What Skills Does a Development Team Need for Software Product Development?

Consider the specialized skills that the team will require to assess your needs, understand the market into which your software product will be launched, and understand how to build the features and functionality, which technologies are the best to meet your needs and the needs of your customers, and what the future of the software product will be.

The team you select should be well-skilled in cutting-edge technologies like Artificial Intelligence (AI), analytics, and most importantly, product roadmap management, and upgrade and release management. Other critical skills and experience include software engineering, in software integration and architecture, and in building, testing and assessing results from a Minimum Viable Product (MVP). The MVP approach can be critical to efficient, collaborative, effective software product development, as it allows the business to quickly build a test product to assess whether its assumptions about its customers, the market and the required features are appropriate. It is a cost-effective way to test these assumptions and to avoid the risk of placing a product in the market that may fail, or damage the business reputation.

The team must have experience in building product requirements and in detailed product roadmaps, upgrade and release management, market analysis and market gap analysis, as well as testing, data migration, and product implementation and support

As you can see, there is a lot to know in the software product development environment, and this expertise and experience must be brought to bear within the development team, and in client interaction, training and other areas that require soft skills, communication, collaboration and support.

‘Be sure that the IT consulting firm you select must have the breadth and depth of skills and resources in all areas of software product development and is able to staff and support your project throughout the development lifecycle and for maintenance and support once the product is in the market.’

Contact Us to find out how our expert Software Product Development Services can help you to build and launch a new app or software product to support your business initiatives. Our team is experienced and skilled in AI-infused application development and cutting-edge technologies. Read our free article, ‘A Full Software Product Development Suite Of Services Is Key.’

How Does AI Coding Affect the Software Industry and Programmers

Is AI Coding a Required Skill in Software Development Today?

If this is the first time you are hearing about Artificial Intelligence (AI) and its impact on society, technology and development, then you have probably been living in the jungle or in outer space! When we consider the influence of AI on the world, the software industry and its career professionals are among the most profoundly impacted segments.

According to Medium, by Some Estimates, developers using AI tools can complete tasks 55% faster, with 85% reporting increased confidence in code quality, and it is estimated that AI-powered development could contribute $1.5 trillion USD to the global GDP by 2030.

When we consider these statistics and predictions, it is clear that AI has had (and will continue to have) a profound impact on software development and software programmers.

If you are working in the software development industry today, it is likely that you have worked on or are going to be asked to work on coding projects that include agentic AI tools like Cursor, Claude Code, GitHub, Copilot and others.

AI Agent Coding Does (and Will) Affect the Software Industry, Programmers and Developers

Not so long ago, AI was a tool to support and help programmers but, today, these tools can handle tasks for a developer and free them to perform other tasks. Programmers who have embraced AI technologies now consider AI a co-pilot, helping them navigate to the conclusion of a project, and quickly create sophisticated, complex code and features that are accurate and secure.

Today’s AI is less like a summer intern or a ‘gopher’ on a construction site, and more like a partner. It goes beyond ‘suggestions’ to consider the WHY, and bases its findings on large language models (LLMs) that digest, analyze and understand context and appropriateness.

But, before you become too concerned, it is important to consider the very real need for human intervention, programmer knowledge and insight and the ‘human’ factor. AI can, and will, offer a solution, and that solution may be appropriate and well-conceived, but human developers still need to review outcomes and use their knowledge and experience to decide whether a certain approach works or whether there is risk involved. Review, validation and editing are crucial, as is a human understanding of context and purpose.

As a programmer, that means you must understand how AI logic works and use your experience and training to ensure compliance, security and understanding of the goals and purpose of the project.

At the heart of software development excellence lies a team of people, processes and tools that support creativity, logic, structure and results. AI can build a structure, establish integration points, coral and analyze data and design a user interface (UI), but it is likely to miss some of the finer points and subtle aspects of security, error handling, accessibility, etc. AI lacks the human dedication, perseverance and work ethic and contextual experience. That’s where you come in!

As a human developer, working with AI, your ability to acquire the tools, learn their limitations and strengths, and then combine those with your own experience, knowledge of best practices and governance and guidance skills, will allow you to progress in your career while, at the same time, using tools and technologies that make your job easier and get the job done more quickly.

AI can help you optimize performance, identify patterns and address those appropriately, revise and simplify loops and clean up code. It can act as a tutor to suggest solutions and explain reasoning so that it is easier to follow and understand the concepts presented. You can use these tools to generate test cases, documentation, and even presentations that address how the solution will satisfy user requirements. With appropriate input and an understanding of the target audience, AI can produce output to support the project, the client, training documentation etc.

As a first time AI programmer, it is wise to consider AI recommendations and suggestions as an opportunity, to review the proposed solutions and ensure that there are no inappropriate shortcuts or errors. Think of yourself as a college professor reviewing a paper on a subject you know well. Look for the errors, the incorrect assumptions, etc.

While there is no doubt that AI will continue to evolve, and that its evolution will allow the tools to become more useful and more automated, it is also undeniable that, at the end of the day, AI serves the human population, whether that population is a customer base or a development team. The issue is less about code and the endless details and variables, and more about making the process more efficient, more accurate and more timely. The human factor is critical, and the role of a human programmer will continue to evolve as a manager, an experienced pair of eyes to review, advise, and ensure appropriateness and context are considered as the project moves forward toward completion.

Just as a great sports coach or professor can guide, teach and analyze based on their own experience and knowledge, the new world of AI coding and programming will require developers who can bring these skills to bear, embrace sophisticated tools and add those tools to augment, support and improve the outcome for the team, the client and the solution.

Contact Us to find out more about our AI Technology Capabilities and Review our White Paper, ‘What Is AI And How Can It Help My Business?,’ and our Blog article, ‘Improve Apps And Software With Artificial Intelligence.’

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Consider AI-Infused Apps and Software to Gain Momentum in Business

AI Apps and Software Can Make Your Business Successful

AI-infused apps and software solutions are all the rage, but is this trend just hype? A recent article published by Product School, reports that AI features result in an increased revenue of 3.5x in average return on every dollar invested in AI features, and an 18% increased market share when companies use AI, as well as 18% better user experience (UX) and increased stickiness and customer satisfaction. The Product School Report on AI-infused use cases and industry immersion reveals impressive success and results for renowned businesses such as Sephora, Amazon and Netflix, as well as Tesla, Boeing, Google, Hilton and others.

‘Choosing the right AI development tools, the right project and development strategy and the right AI IT consultant will ensure that your goals and objectives are met, and that your project is completed quickly and effectively.’

If your business is considering the integration of artificial intelligence (AI) within its new software product or app, there are two primary benefits inherent in this strategy:

The Use of AI in the Software Development Process –  Using AI to develop your software product or app can streamline the development process, provide cost savings in the project lifecycle and speed the development process. Developers can focus on strategic and complex factors within the project lifecycle, allowing AI to generate code, detect bugs, and automate testing, and handle routine project management tasks. AI development tools like GitHub Copilot, IBM Bob and Claude enable professional developers to manage standard tasks using sophisticated tools, and to monitor, manage and move the project along more quickly.

The Use of AI in Customer and User-Facing Software – Integrating AI within business applications and consumer apps and software allows users to quickly and easily compete tasks, understand options and make selections. Today, AI is being used in market research, and to analyze large volumes of data to make better, swifter decisions. AI allows cybersecurity risk assessment by quickly analyzing patterns and identifying threats. It can manage routine tasks like data entry, responding with targeted messages to customers, and scheduling meetings, appointments, maintenance, etc. AI-infused software can automate resume screening and schedule interviews for HR staff, and it can analyze customer preferences and buying behaviors to further personalize products, system responses and product recommendations. Additionally, these tools can complete tasks to address customer ratings, setting credit limits, establishing lead qualification rankings, identifying cross-selling and upselling opportunities, and generating feedback for customer support calls.

AI-infused apps and software provides many benefits beyond the use of advanced technology. Used appropriately, it can provide a strategic tool to enhance business competition and market reach, and ensure that products get to market more quickly and effectively. It can help a business to improve customer satisfaction and retention, and provide new opportunities for features and functionality that will set your business apart from competitors.

When you engage an experienced IT consultant, you can establish a strategic approach for the use of AI within the software development lifecycle and within the apps and software you plan to use within your business or the apps you plan to offer to consumers and customers. Many AI tools are free to use, but it is crucial that your development team have a breadth and depth of understanding in how to use these tools and how to integrate the features and functionality into the apps and software you plan to launch, so that they are used appropriately and monitored and managed in a comprehensive data governance environment.

Do AI-Infused Apps and Software Live Up to the Hype with Solid Business Benefits?

Choosing the right AI development tools, the right project and development strategy and the right AI IT consultant will ensure that your goals and objectives are met, and that your project is completed quickly and effectively.

‘AI-infused apps and software provides many benefits beyond the use of advanced technology. Used appropriately, it can provide a strategic tool to enhance business competition and market reach, and ensure that products get to market more quickly and effectively.’

Contact Us to find out how you can leverage AI Technologies to build and launch a new app or software product to support your business initiatives. Our team is experienced and skilled in AI-infused application development and cutting-edge technologies.

Why Does My Enterprise Need Self-Serve Mobile BI?

How Does Self-Serve Mobile BI Help My Business?

We live in a mobile society. The invention and distribution of cell phones and small handheld devices has changed the world. We are all connected, and whether we are using our mobile devices for business, family or entertainment, the mobile device has become a necessity.

The use of mobile devices to access and consume analytical information, data and reports is as much of a necessity today as access to a cell phone to call a client or a business associate. We need information to make decisions, to share results, to consider options, opportunities and challenges and take appropriate action.

Market Data Forecast reports that the mobile BI market was estimated at 17.27 billion USD in 2024, and 2025, was estimated at 21.10 billion USD. By 2033, mobile BI is estimated to be 104.94 billion USD.

This growth reveals the recognition of the need for accessible information for business, clients and other consumers of information. Our teams are no longer working exclusively within the walls of the office. They work from home, from a client office, on a train, in a hotel, an airport, or at a coffee shop. They use analytical data and reports to discuss outcomes and issues, make recommendations, change direction and complete day-to-day tasks.

‘Whether your business is local, regional or international, there is a business case for implementing Mobile BI in your enterprise environment to provide easy-to-use, self-serve, BI tools for team access to improve productivity, data democratization, data literacy and time-to-market.’

Without access to Mobile BI tools, you are restricting your team to working in a certain environment, and perhaps even to depending on others to gather, analyze and report on information, thereby delaying decisions and creating critical gaps in workflow and time-to-completion for tasks, approvals, response to market changes, etc.

And mobile access to analytics has gained popularity, as businesses understand the benefits. The Data Stack Hub research quoted above found that:

  • Real-time analytics adoption rose 42% as companies emphasize agility in volatile markets.
  • Self-service analytics reduced report generation backlog by 40% across organizations.

Mobile BI can provide numerous benefits in improving accuracy, the timely response to issues, challenges, opportunities, client requests, management initiatives, and day-to-day tasks, approvals and shifts in priorities.

‘The use of mobile devices to access and consume analytical information, data and reports is as much of a necessity today as access to a cell phone to call a client or a business associate. We need information to make decisions, to share results, to consider options, opportunities and challenges and take appropriate action.’

While financial services, technology and healthcare lead the BI investment landscape, Mobile BI is gaining in popularity across every industry. North America dominates BI adoption, and the Asia-Pacific business market has focused investment and energy on cloud deployments.

Is Mobile BI Really a Necessity in Today’s Business Environment?

Whether your business is local, regional or international, there is a business case for implementing Mobile BI in your enterprise environment to provide easy-to-use, self-serve, BI tools for team access to improve productivity, data democratization, data literacy and time-to-market.

If you want to support your business user team and provide a foundation for BI tools that will better serve your team and your customers, explore Smarten Mobile BI benefits and features, with powerful functionality and access for your business users including out-of-the-box Mobile BI and advanced analytics for every team member. For more information on Mobile BI and Augmented Analytics, read our article, ‘Mobile BI Business Use Provides Real Advantages,’ and take a moment to watch and listen to this informative webinar, ‘Smarten Mobile BI.’