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 Analytics, Augmented 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.’

Why Use Embedded AI In My Business Apps and Products?

The Use of Embedded AI in Apps and Software Products

It is hard to miss the relevance of artificial intelligence (AI) in our society today. Discussions about its impact on our day-to-day lives, on technology and on competitive markets appear in the media, in industry publications and in kitchen table conversations.

When it comes to the use of Embedded AI within existing and new applications and software products, the discussion is no less active or relevant.

The University of Cincinnati recently reported that AI could contribute $15.7 trillion USD to the global economy by 2030. The integration of that technology into existing and new software products, applications and websites can, and should, be a part of any competitive strategy where business users or consumers and end users use technology to buy, communicate, gather information, etc.

The use of embedded AI within software products, apps and websites can:

  • Streamline development time and deliver new features and functionality to keep pace with the market and customer needs
  • Provide innovation within existing or new products to enhance competitive advantage
  • Enhance and improve customer and user satisfaction with quick, responsive features that provide detailed information, targeted to user needs
  • Improve productivity within business teams by providing automated workflow and processes to complete inquiries, approvals, etc. with limited or no human intervention

These are just a few of the advantages of Embedded AI.

Using Embedded AI to Upgrade and Improve Your Apps, Software Products and Competitive Advantage

TechTarget recently published a paper reporting on the findings of renowned research organizations and the global use of AI within businesses.

  • McKinsey & Co. – 88% of businesses report regular AI use in at least one business function (up from 78% in a prior year survey).
  • Gartner – Advantages of AI use within apps and the organization include incremental improvements to existing processes and workflows, modified processes that accelerate growth and profitability and altering business models to transform the business in ways that will redefine the market.

When integrating artificial intelligence (AI) and embedding it within your apps and software, it is important to work with an expert team that can help you assess your vision and requirements, your current technology landscape and your user targets to focus on the right goals and metrics and create a roadmap that will position you to make the changes you want now and to be flexible enough to upgrade and make changes for future requirements.

AI engineers, data scientists, designers and developers can use cutting-edge technology, cloud platforms, and enterprise analytics tools and techniques to build a scalable, secure, high-performance solution using dependable AI tools, machine learning, analytics systems and other methodologies and technologies to ensure rapid development, flexible deployment and long term dependability.

Here are just a few of the ways you can incorporate AI into existing systems to achieve results:

  • Language translation, data summarization and responding to queries and questions.
  • Automate routine tasks and enhance communications to improve customer support.
  • Create, tune and evaluate prompts for input and output in business systems to leverage available data.
  • AI approaches and predictive algorithms can contribute to finding new business opportunities, market optimization and more effective marketing and sales.

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.’

Small and Medium Businesses (SMBs) Using Tally Prime CAN Enjoy Analytics

Integrated Analytics for Small and Medium Tally Prime Users

Your Tally Prime users are familiar with this popular software, and they have likely incorporated it into their day-to-day tasks and activities. If and when you choose to elevate your services to internal customers or offer refine client services by producing analytics and reports to support fact-based decision-making, you will want to select an analytics solution that will allow your users to continue leveraging the Tally Prime solution in a way that is meaningful to them and will ensure productivity and reduce the user frustration that typically results from adding a solution that must be separately accessed with tools that require data migration, etc.

‘When you are considering an analytics solution to integrate with your Tally Prime installation, choose one that will allow users to access, see, navigate and use the data contained within the Tally solution in a single sign-on environment.’

Business.com recently published an article that highlights the many benefits of integrating data analytics within business processes and, in spite of what many small and medium sized business owners may believe, this report reveals that, ‘Leveraging data analytics is cost-effective for SMBs.’

Small and Medium Tally Prime Business Users Can Easily Integrate Self-Serve Analytics for the Team

Yes, analytics IS beneficial to small businesses and it can be a boon to your team and your business users, but If the business adds an analytical solution as a separate offering, it can significantly reduce Return on Investment (ROI) for the analytical solution and for the Tally solution, and it can increase Total Cost of Ownership (TCO).

  • Data Access – When analytics is presented as a separate system it complicates analytics and creates the need for a manual process, eliminates cross-unit and departmental insight and creates inefficiencies.
  • Scalability –  Many analytics and business intelligence tools fall short when the organization is trying to address growing data volumes, a growing user base and expanded locations. This can cause performance lags and storage issues.
  • Security – The business must protect sensitive information from cyber threats, unauthorized access, and data breaches, and it must provide its users and customers with the information they need, while limiting data access to what a user is entitled to see and use.
  • Integration – Merging analytics with your existing infrastructure and solutions requires careful planning and investment in compatible solutions.
  • User Adoption – The team must have training to interpret analytics insights and apply them to decisions and collaboration.

When you are considering an analytics solution to integrate with your Tally Prime installation, choose one that will allow users to access, see, navigate and use the data contained within the Tally solution in a single sign-on environment with:

  • Mobile Access for analytics on-the-go designed for native mobile apps
  • Near real-time access to transactions and data
  • Fast, easy start-up with no significant training
  • Seamless support for multiple companies, divisions, and users with affordable licensing
  • The ability to create out-of-the-box dashboards and reports including bank and cash, payables, receivables, inventory, taxes, cost centers, ledgers, overview reports and account statements
‘Yes, analytics IS beneficial to small businesses and it can be a boon to your team and your Tally Prime business users.’

Find out how mobile SmartenApps for Tally can support your small and medium sized (SME) business team and extend access to your Tally Prime solution with access and features that offer accounting, finance, sales, inventory, and purchasing professionals and team members the tools they need to improve performance. Read our free articles on SmartenApps for Tally and how it can positively impact your business: SmartenAppsBlog.

Integrated Analytics for Small and Medium Tally Prime Users

Should My Start-Up Business Create a Minimum Viable Product (MVP)?

How Can a Minimum Viable Product (MVP) Help My Start-Up Business?

If your business is a start-up, you know the stress of stretching your budget and your team to achieve your vision, and the uncertainty of planning projects and products that will be competitive in your market of choice.

According to a report published by Edition Group, 90% of tech start-ups fail, and CB Insights reports that 42% of these failures are due to lack of market need for the products the start-ups wish to produce.

That’s where Minimum Viable Products come in!

‘If your start-up has a software product idea, it is important to select an IT partner or IT consultant that has experience with Minimum Viable Products (MVP) and can provide flexibility, seamless integration and clean architecture to support future product expansion.’

A Minimum Viable Product (MVP) is a streamlined, simplified version of the product you wish to build. This version includes only essential features and will give your customers a good idea of what the product is supposed to do. It will provide valuable feedback for your team to use in validating product ideas and features without the expense and time required to produce the full product.

What Are the Benefits of a Minimum Viable Product (MVP) for a Start-Up Business?

A well-conceived MVP can help the business to validate product assumptions and compare what they are planning to the market need, and it will provide crucial insight from users which can be used to develop the final product, thereby minimizing the financial risk and cost of producing the final product and ensuring market success.

Your business can identify the most important features and create an appropriate user experience, producing a functional prototype that will engage users and offer real feedback that you can use to design your final product.

Rapid prototyping, user testing and iterative development help your tam to prove potential and allow you to gain a clearer understanding of how your planned product fits the market and customer need. You can refine your concept, align it with user needs and minimize your risk.

‘A well-conceived MVP can help the business to validate product assumptions and compare what they are planning to the market need, and it will provide crucial insight from users which can be used to develop the final product.’

If your start-up has a software product idea, it is important to select an IT partner or IT consultant that has experience with Minimum Viable Products (MVP) and can provide flexibility, seamless integration and clean architecture to support future product expansion. The partner you select should provide services to help you refine user experiences to implement new features and to support the project and product iterations as you progress toward the final product and beyond to product maturity.

Contact Us to find out how the Minimum Viable Product approach to software product development can support your vision and goals. Explore our free Minimum Viable Product (MVP) Case Studies to find out how our services have helped companies like yours.

Ensure Return on Investment and User Adoption for Augmented Analytics

How Can My Business Ensure ROI and User Adoption for BI Tools?

A Reliable Research Study recently reported that, ‘The United States Augmented Analytics Software market is poised for significant growth, driven by increasing demand for data-driven decision-making and the integration of artificial intelligence. Businesses are leveraging advanced analytics tools to enhance data interpretation and automate insights, fostering a more agile operational environment.’

There is no doubt that the augmented analytics market is growing by leaps and bounds around the world. But for the business wishing to roll out its first augmented analytics software installation or for companies that wish to upgrade their analytics and improve data democratization and data literacy, the path to full implementation and user engagement can be fraught with missteps.

‘With careful planning and engagement of team members to extract feedback and plan for challenges, the business can ensure Return on Investment (ROI) and low Total Cost of Ownership (TCO), and enable user adoption.’

No executive team will approve new technology without some guarantee that it will pay off! Which means that the business team must find a way to ensure Return on Investment (ROI) and prove the benefits of the augmented analytics implementation.

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

There are a number of considerations a business should include in order to address the issues inherent in this type of installation:

  • How and why does the team the business can benefit from this implementation?
  • What is the level of technology skills for the average intended augmented analytics user?
  • What resistance to workflow and process changes might arise? This issue will require engaging with the enterprise team to understand and address issues
  • What benefits will the enterprise team enjoy if the new analytics system is implemented?
  • How can collaboration, productivity, fact-based decision-making and data literacy improve the day-to-day team process and the organization?
  • Does the augmented analytics solution under consideration meet the stated requirements for features and functionality for the team and the company?
  • Does the solution support embedded BI, single sign-on and integration APIs to encourage users to explore analytics within the confines of familiar enterprise applications?
  • Does the solution provide ease-of-use for all users and flexibility and personalization options to make its use more meaningful to each user?
  • Does the IT team have the appropriate support from an expert Augmented Analytics partner to review and address requirements and provide support?

When selecting an augmented analytics solution or BI tool, the business should take the time to plan carefully in order to avoid implementation of a solution that does not suit the needs of the organization or one that users will not adopt because of poor training or communication or cultural bias against new work processes or workflow.

With careful planning and engagement of team members to extract feedback and plan for challenges, the business can ensure Return on Investment (ROI) and low Total Cost of Ownership (TCO), and enable user adoption. Take the time to develop requirements, consider the features and functionality that will best serve you organization and create user cases to test the features against the planned use of the software product.

‘No executive team will approve new technology without some guarantee that it will pay off! Which means that the business team must find a way to ensure Return on Investment (ROI) and prove the benefits of the augmented analytics implementation.’

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

Why Should My Business Consider Embedded BI Tools?

How Can Embedded BI Tools Help My Business?

A recent article published in Analytics Insight suggests that the most important aspects of Embedded BI solutions are:

  • Ease of Integration and Flexibility
  • Powerful Data Visualization and Exploration
  • Self-Serve User Analytics
  • Scalability and Performance
  • Deployment Options
  • Pricing and Support

When a business wishes to select an Embedded Business Intelligence (BI) solutions, there is a lot to consider!

‘When augmented analytics is combined with integration APIs, your business can place BI tools within existing software apps and products to provide easy-to-use analytics and data integration across the enterprise.’

Whether your business is deploying BI tools for the first time, or upgrading existing solutions, the Embedded BI solution provides a lot of flexibility and improves user access by removing barriers that exist with siloed analytics solutions or solutions that are meant to serve data scientists and IT users.

By incorporating Embedded BI, you allow business users to access familiar enterprise software tools and apps using a single sign-on environment that allows them gather and analyze data in one place, without manual migration of data or the use of a sophisticated, complicated analytics solution.

If your goal is data literacy and data democratization, Embedded BI is likely to help you by encouraging users to explore and use analytics to improve their output and results on a day-to-day basis. By making it easier on them, you can improve your business results.

Embedded BI Tools Provide Extreme Benefits Without Significant Investment

Embedded Bi provides numerous benefits and advantages to the organization and to users:

  • Access augmented analytics and BI tools from within mobile application and enterprise apps.
  • Avoid user frustration with user-friendly solutions and deep dive capabilities that suit their roles and responsibilities.
  • Improve user adoption of BI tools and encourage collaboration, data sharing and fact-based decisions.
  • Improve Return on Investment (ROI) and Total Cost of Ownership (TCO) for enterprise apps.
  • Provide unique BI tools and analytics integration without significant investment.
  • Support rapid implementation and deployment.
  • Establish a solid foundation for upgrades to keep pace with business and market needs.
  • Provide Embedded BI and access to timely data for websites to ensure that users and customers have the information they need.

In addition to these benefits, a business that is focused on software development products can add analytics and BI tools to its existing products to expand its market and provide more features and functionality to its customers.

When augmented analytics is combined with integration APIs, your business can place BI tools within existing software apps and products to provide easy-to-use analytics and data integration across the enterprise.

‘When a business wishes to select an Embedded Business Intelligence (BI) solutions, there is a lot to consider!’

You can find out more about the Smarten Embedded BI And Integration APIs solution and add powerful functionality and access to existing ERP, SCM, HRMS, CRM or any other products. Provide analytics capabilities within existing products without major Investment. Your business users and your customers will appreciate the ease-of-use and access and you will gain a competitive advantage. Read our White Paper: ‘Making The Case For Embedded BI And Analytics.’

Software Product Development is NOT the Same as App Development

Engage Software Product Developers to Ensure Product Integrity

If your business has a vision for a software product or app to be sold into the market, it is important to engage expert services and skills in order to achieve that vision. Even if your IT team has the skills to develop an app or software product, it is likely that they are too busy to take on a long-term project and to deploy the software, maintain and upgrade it. AND, there is one other primary concern about using in-house IT teams. You will have to answer the question, ‘does my IT team know the difference between application development and software product development?’

While you might have high hopes for your software product development project, it is important to plan this process with eyes wide open and to understand the concerns and needs of this type of undertaking.

‘Working with professional software product development services gives your business the structure, oversight, and execution capability needed to accelerate delivery.’

In a recent article, Forbes Reports that a Project Management Institute (PMI) study revealed that 43% of IT projects exceed their initial budgets, 49% are late and 14% fail altogether.

Do You Understand the Difference Between Software Product Development and Application Development?

This article is not meant to discourage an enterprise from executing its vision. Your software product may be the answer to expanding your business, to gaining an advantage over your competition or to improving customer satisfaction…among other things. No! This article is not meant to discourage an organization from embracing its innovative, creative side. Rather, it is meant to point out the primary considerations and the differences between application development and software product development.

Application Development involves developing code and designing an environment to serve a specific need, workflow or process. This development cycle may address the need for a mobile application for iOS or Android apps, or a web-based application and involves design, development, testing and implementation and production. The process may be a closed loop endeavor that allows the organization to dictate its own requirements and produce an app to meet those requirements.

Software Product Development is a different animal! By its nature it must include requirements analysis to understand what customers and clients want and to control the scope to include those features and functionality that will satisfy the market by not include features that clients do not want or functionality that will increase the cost and the time it takes to complete the product. This process may include the development of a Minimum Viable Product (MVP) to test theories and protypes and acquire  feedback that will be included in the final product design. The product development process must include quality management methodologies and techniques to ensure that the final product is dependable and suitable for the market and that it will result in a positive experience for customers and avoid risk to the company and its reputation. The process must ensure that security and privacy standards are met for industry and government compliance, and it must provide a foundation to grow the product and complete upgrades. It must include a comprehensive support environment with appropriate customer support methods and access points.

When you choose a software development partner, you must consider experiences, skills, references and the partner’s capacity to meet deadlines and stay within scope and budget. Working with professional software product development services gives your business the structure, oversight, and execution capability needed to accelerate delivery.

Look for a partner than can provide:

  • Flexible Development Models
  • Tailored, Collaborative Approach
  • Streamlined Delivery Process
  • Scalable Team and Ongoing Product Support

Above all, choose a partner that understands the difference between application development and software product development!

‘While you might have high hopes for your software product development project, it is important to plan this process with eyes wide open and to understand the concerns and needs of this type of undertaking.’

Contact Us to find out how an expert Software Product Development partner or Application Development Partner can help your business achieve its vision and expand its market reach. Read our article, ‘3 Critical Considerations For Software Product Development vs. Application Development.’

Citizen Data Scientists are the Future of Analytics

Citizen Data Scientists Enable Analytics Across the Enterprise

A recent MIT Sloan Management Review Article reported that 37% of those surveyed said they work in a data and AI-driven organization.

But, all the data and analytics in the world will not help your business if you don’t have a way to easily access and understand that data and those sophisticated analytical processes. You can hire an expensive team of data scientists, IT professionals and business analysts and hope they can produce data fast enough to meet your needs in a format that is easy to understand. But, there is an easier way!

‘If analytics is to fulfill its potential in your enterprise, you must address the human element and understand how, when and where data is used, and the importance of that data in making fact-based decisions, and ensure that you are making the best use of your team members and the data that resides within your organization.’

The wise business executive understands that technology and data must frame their competitive strategy. In order to understand what clients and customers want, the organization must have easy access to reliable, current information and they must be able to cascade that information to their team members so that everyone is working from the same information, and the teams can support the overall strategies and goals of the enterprise with agile business processes and information to make rapid, accurate, fact-based decisions.

The Citizen Data Scientist culture enables data literacy and data democracy and allows team members with average technology skills to gather and analyze data and…more importantly…to understand that data so they can use it to make informed decisions. Sophisticated analytics and an integrated technology infrastructure and landscape provide the foundation to enable continuous improvement, but the future of analytics does not lie in the algorithms and data – it lies in how humans can and should use that data to make decisions.

The Citizen Data Scientist Approach Represents the Next Chapter in Analytics

A Citizen Data Scientist can use self-serve augmented analytics to perform day-to-day analytics as part of their daily routine and help the enterprise to optimize data scientists, IT and business analysts. By taking on the day-to-day analytics and using those analytics to make decisions, they can free the data science professionals to work on strategic activities.

Self-Serve Data Analytics include data preparation, data cleaning, exploration, and data visualization, as well as data sharing and collaboration.

Data Insights enable business users to make dependable, fact-based decisions without the assistance of IT professionals or data scientists. Results are clear and concise and users can perform deep dive analytics at the click of a button.

Data Democratization is enhanced by giving business users access to crucial, up-to-date data and allowing them to become familiar with data analytics in a risk-free, easy-to-understand environment that encourages user adoption of analytics software.

Organizational Agility improves with the use of data analytics and improved, clear, concise insight, making it easier to see, understand and take action on data to improve results and outcomes and align the organization at every level.

‘The Citizen Data Scientist culture enables data literacy and data democracy and allows team members with average technology skills to gather and analyze data and…more importantly…to understand that data so they can use it to make informed decisions.’

Analytics and data analytical software alone cannot satisfy the needs of the organization. If an enterprise wishes to create an agile, responsive environment and improve time to market, reduce re-work and provide a competitive advantage, it must employ a strategy to improve data literacy, data democratization and the use of self-serve analytics that encourage collaboration, innovation and data sharing across teams, business units and business functions.

If analytics is to fulfill its potential in your enterprise, you must address the human element and understand how, when and where data is used, and the importance of that data in making fact-based decisions, and ensure that you are making the best use of your team members and the data that resides within your organization.

Contact Us to discuss the unique needs of your organization and your users and find out more about the Citizen Data Scientist Approach, and about Smarten Technology. Explore our free white paper, ‘The Potential Of The Citizen Data Scientist Approach And Augmented Analytics.’