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.’

Smarten Support Portal Updates – July – 2026!

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.’

How Does the ‘Build Your Own Team’ Approach Improve IT Outsourcing?

Build Your Own Software Team and Enjoy Outsourcing Excellence

There are many kinds of software and technology projects. A business might have a great idea for a mobile app to serve the market, or it may require a new business solution or integration of existing solutions to better serve the needs of the team and the management. Perhaps the enterprise has an ongoing need for support, development, integration or other tasks and activities, but the internal IT team is too busy to satisfy that need. Maybe the internal IT team does not have the necessary skills to work on a project that incorporates artificial intelligence (AI) or other new frameworks, platforms or technologies.

According to WiFiTalents Research Report, the trend toward businesses embracing IT outsourcing in the U.S. cites a 59% cost reduction in development, and a 20% time-to-market reduction for tech startups, with 52% using outsourcing to accelerate digital transformation. But, there is a downside. According to this research report, 53% flag “lack of control” as the biggest risk.

‘The traditional outsourcing model presents risks as team members assigned to your project rotate out to serve other clients.’

But, don’t dismiss the concept of outsourcing too quickly! If  your single project, or ongoing technology support needs prompt you to consider outsourcing, there is better way to satisfy your needs, ensure enterprise control, and build a foundation for success. Your organization can enjoy the benefits of outsourcing without the risk, by using the Build Your Own Team concept.

When you select an outsourcing IT partner using this concept, you can bring a team with specific skills online quickly – one that aligns with your goals, environment and requirements. The team applies standards for review, documentation, and QA, and can work with your internal team to act as an extension of your staff.

The traditional outsourcing model presents risks as team members assigned to your project rotate out to serve other clients. When that happens, your organization loses precious time and knowledge and must invest in training new team members to support the work. In a dedicated ‘build your own team’ environment, you can depend on continuity across features, architecture and project milestones, etc. This approach ensures stability and collaboration and allows the business to set priorities and stay on schedule.

If your priorities change, or your enterprise must pivot, you can add roles to support front end, or backend needs or escalate a timeline. There is no need to recruit, hire or train internal IT to support your needs, and you avoid the costs of benefits and, in many cases, the cost of facilities to support the staff.

In the build your own team model, the IT partner works with you to assess your needs, and provides the appropriate team member, with the right knowledge, experience and training, so you can reduce manual overhead and improve delivery schedules.

Build Your Own Team: Get All the Benefits of IT Outsourcing Without the Risk

The Build Your Own Software Team model engages the IT partner and client to define roles and establish the criteria for success, assembling a dedicated software development team to suit your technical standards, workflow and project or ongoing support roadmap.

This approach allows your organization to complete the onboarding process quickly and easily, and align team skills and experience with your needs so you can scale your software development as your priorities change.

‘Your organization can enjoy the benefits of outsourcing without the risk, by using the Build Your Own Team concept.’

Contact Us to find out how you can Build Your Software Team, and how Elegant Microweb Solutions And Services can help you with a one-time project or ongoing technology, software and IT support.

Smarten Support Portal Updates – May – 2026!

Benefits of Hiring a Dedicated Software Development Team

Businesses today face increasing pressure to innovate, improve digital experiences, and bring software products to market quickly. However, building and managing an internal development department can be expensive, time-consuming, and difficult to scale. This is why many organizations choose to work with a dedicated development team to support software initiatives and accelerate growth.

A dedicated development team gives businesses access to experienced engineers, designers, and technical specialists who focus entirely on a project while operating as an extension of the internal team. This model offers flexibility, scalability, and access to specialized expertise without the long-term challenges of traditional hiring.

What Is a Dedicated Software Development Team?

A dedicated development team is a group of software professionals assigned exclusively to work on a client’s project. These teams typically include software developers, quality assurance specialists, UI and UX designers, DevOps engineers, and project managers who collaborate to build and maintain software products.

Unlike project outsourcing, where work is handed off to a vendor, a dedicated software development team works closely with internal stakeholders, follows business priorities, and integrates into existing workflows.

This model is especially valuable for companies managing long-term software projects, launching digital products, or expanding technical capabilities.

Access to Specialized Technical Expertise

One of the biggest benefits of hiring a dedicated development team is immediate access to specialized talent.

Hiring experienced developers internally can be difficult, particularly when projects require niche technical skills or knowledge of specific technologies. A dedicated team allows businesses to work with professionals experienced in areas such as:

  • Cloud computing
  • Artificial intelligence and machine learning
  • Enterprise software architecture
  • Mobile and web application development
  • Cybersecurity
  • Data engineering and analytics

Instead of spending months recruiting technical talent, organizations can quickly access the expertise needed to move projects forward.

Businesses seeking highly skilled engineers often partner with a dedicated software development team to gain technical capabilities that may not exist internally.

Faster Time to Market

Software development speed can have a direct impact on business success. Delays in product launches often lead to missed opportunities, increased costs, and competitive disadvantages.

A dedicated team enables businesses to start development quickly because the hiring, onboarding, and infrastructure setup are already handled by the provider. Teams can begin working almost immediately, reducing delays associated with traditional recruitment.

Because dedicated teams already have established workflows and development experience, they can often deliver software faster and more efficiently than newly assembled internal teams.

This speed is particularly valuable for startups launching new platforms, enterprises modernizing systems, or businesses investing in software application development services.

Scalability and Flexibility

Technology needs often change throughout a project lifecycle. Businesses may require additional developers during major development phases and fewer resources during maintenance or optimization.

A dedicated development model provides the flexibility to scale teams up or down based on project demands.

For example, organizations can:

  • Add frontend or backend developers during feature development
  • Bring in quality assurance engineers during testing phases
  • Expand DevOps resources during deployment periods
  • Reduce resources once major milestones are completed

This flexibility allows businesses to manage costs more effectively while maintaining project momentum.

Companies that need scalable technical resources often rely on a dedicated development team to adapt to changing development requirements.

Reduced Hiring and Administrative Costs

Recruiting developers internally can be expensive and time-intensive. Businesses must invest in hiring, onboarding, employee benefits, payroll, training, and workplace infrastructure.

Dedicated teams remove much of this operational burden.

The development partner manages recruitment, employee retention, HR processes, payroll, and administrative responsibilities. This allows organizations to focus on business strategy rather than staffing logistics.

In many cases, partnering with a dedicated software development team is more cost-effective than maintaining a full internal engineering department.

Stronger Project Continuity

Frequent employee turnover can disrupt software development projects and create knowledge gaps.

Dedicated teams provide greater continuity because the same professionals remain assigned to the project over extended periods. Over time, developers build a deep understanding of the software architecture, business requirements, and technical challenges.

This continuity leads to:

  • More consistent development quality
  • Better long-term planning
  • Faster problem-solving
  • Reduced onboarding time for future phases

Long-term familiarity with a project often improves efficiency and helps maintain development momentum.

Greater Focus on Core Business Activities

Managing software teams internally requires significant time and oversight. Leadership teams often spend valuable resources recruiting developers, managing workflows, and solving operational challenges.

A dedicated team allows businesses to shift their focus back to core business priorities such as:

  • Product strategy
  • Business growth
  • Customer acquisition
  • Innovation initiatives
  • Operational improvements

While the business maintains oversight of project goals, the technical execution is handled by experienced specialists.

Organizations building new products through MVP development services often benefit from this model because it allows founders and leadership teams to remain focused on validating business ideas and market opportunities.

Improved Development Efficiency

Dedicated teams are often highly efficient because they work with proven workflows, agile methodologies, and collaborative development tools.

Experienced teams typically use structured sprint planning, continuous testing, and regular progress reviews to improve development outcomes.

This often results in:

  • Faster feature releases
  • Better code quality
  • Reduced technical debt
  • Fewer delays and bottlenecks
  • More predictable delivery timelines

For businesses investing in software product development services, efficiency can significantly impact product success and return on investment.

Easier Access to Global Talent

Hiring locally can limit access to highly specialized developers, especially in competitive markets.

Dedicated development models allow organizations to work with global engineering talent regardless of geographic location. This broader talent pool increases the likelihood of finding specialists with the exact skills required for a project.

Access to international talent also gives businesses greater flexibility when building complex enterprise systems or supporting digital transformation initiatives.

Many organizations combine this approach with IT offshore staff augmentation to expand technical capacity and optimize costs.

Better Risk Management

Technology projects often involve uncertainty, shifting priorities, and evolving requirements. Hiring full-time employees for short-term initiatives can create financial and operational risks.

Dedicated teams reduce these risks by offering flexible engagement models that align with changing project needs.

Businesses can adjust team structures, expand resources, or pivot priorities without the challenges associated with hiring and layoffs.

This adaptability helps organizations remain agile in rapidly changing markets.

When Should You Hire a Dedicated Development Team?

A dedicated development team is often the right solution when:

  • You are building a long-term software product
  • Internal technical resources are limited
  • Specialized technical expertise is required
  • Your company needs to scale development quickly
  • Hiring internal developers is difficult or time-consuming
  • You are launching enterprise software or digital platforms
  • Faster development timelines are a priority

Companies managing complex projects frequently partner with a dedicated software development team to accelerate delivery while maintaining development quality.

Conclusion

Hiring a dedicated development team provides businesses with a flexible, scalable, and efficient way to build software products and digital solutions. From accessing specialized talent and reducing hiring costs to improving development speed and scalability, this model offers significant advantages for organizations of all sizes.

For companies seeking long-term technical support, faster product delivery, and access to experienced engineering talent, a dedicated software development team can provide the expertise and flexibility needed to support sustainable growth and innovation.

Democratize Predictive Analytics and Support Citizen Data Scientists

Enable Citizen Data Scientists with Predictive Analytics and BI

When a business recognizes the need for analytics and fact-based decision-making, it must choose the best BI tools and analytics to meet its requirements. While it is important to carefully consider the technology landscape, the integration needs and reporting requirements, one of the most important factors in choosing an advanced analytics solution is the foundation for data democratization and data literacy.

Today’s competitive business landscape makes it more important than ever to ensure that your enterprise can optimize productivity and team knowledge. The business must leverage BI tools to provide up-to-date, clear information to its team members so that they can collaborate, share data and make the best decisions. Analytics and predictive modeling tools also support the presentation of data in a way that is meaningful to the target audience and to those who are considering the data to capitalize on opportunities, solve problems and explain recommendations.

‘If you wish to encourage and enable Citizen Data Scientists, you must select a predictive analytics solution that can produce meaningful results to suit the role of the team member, and one that will satisfy the technical needs of an average user.’

According to Data Stack Hub, ‘Organizations that adopt data-drive decision-making are 5x more likely to make faster decisions,’ and ‘Approximately 73% of organizations say data analytics is a top priority in their digital transformation efforts.’

As businesses search for ways to plan, forecast and predict outcomes, the addition of predictive modeling as a tool for team members can enable and encourage user adoption of augmented analytics tools. Concise, clear and dependable predictions can help the team to plan accurately and to gain insight into how pricing changes, new products, and changes in customer communication will affect sales, customer retention, etc.

Support User Adoption and Citizen Data Scientists with Augmented Analytics and Predictive Modeling

When a team member adopts tools that help them to more easily and effectively complete tasks and share information, the team is more likely to embrace analytics and the organization can achieve digital transformation goals and transition team members into a Citizen Data Scientist role, thereby allowing business analysts and data scientists to focus on more strategic activities and ensuring that the team is producing fact-based information and making decisions that are based on data rather than on opinion or guesswork.

‘Concise, clear and dependable predictions can help the team to plan accurately and to gain insight into how pricing changes, new products, and changes in customer communication will affect sales, customer retention, etc.’

Ease-of-use and a clear understanding of results is paramount to successful user adoption of any software, but when it comes to predictive modeling and augmented analytics it is even more important. If you wish to encourage and enable Citizen Data Scientists, you must select a predictive analytics solution that can produce meaningful results to suit the role of the team member, and one that will satisfy the technical needs of an average user. By providing tools that help them do their jobs more efficiently, more quickly and with better results, you are much more likely to create an environment where Citizen Data Scientists can thrive.

Contact Us to discuss the unique needs of your organization and your users and find out more about our Predictive AnalyticsAugmented Analytics Solution and services, enabling Citizen Data Scientists, and the use of Smarten Technology. Explore our free white paper, ‘Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’