Tag: What is Augmented Analytics

Ensure Return on Investment and User Adoption for Augmented Analytics

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May 7, 2026

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.’

Original Post : Ensure Return on Investment and User Adoption for Augmented Analytics!

Citizen Data Scientists Are Important to Business Transformation

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October 7, 2025

Transform Your Business with Citizen Data Scientists

The business environment today is competitive. Whether your business is global or local, you are challenged to do more with less, to set and achieve goals more quickly and to stay ahead of your competitors by gaining a comprehensive understanding of what your customers want, what they WILL want, and how to best attract their attention and retain them.

To meet these challenges, every team member and employee must have a thorough understanding of how their roles and responsibilities fit into the grand scheme of things and how the projects, tasks and activities they pursue on a day-to-day basis will affect revenue, outcomes and results.

When a business (large or small) makes the decision to transition business users to Citizen Data Scientists, it supports the alignment of goals and objectives with fact-based decision-making and improved data literacy, encouraging its users to embrace and understand data and use that data to collaborate, present information to management and gain insight into results to identify opportunities and address issues.

‘The Citizen Data Scientist approach transforms the organization by improving time to market, reducing rework and mitigating market missteps and improving productivity and the alignment of workflow and tasks with the goals and objectives of the enterprise.’

World renowned technology research firm Gartner first coined the term ‘Citizen Data Scientist’ in 2016 and defined the role as ‘a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’

Nearly a decade later, the role has been refined and structured within many organizations and recent Gartner research reports that, ‘Citizen Data Scientists can be leveraged to perform repetitive and redundant tasks in the analytics workflow, and therefore create value to the organization, while allowing expert data scientists to focus on more complex tasks.’

The increased pace and tenor of competition has forced businesses to accommodate rapid change in markets and customer buying behavior by using analytics, data scientists and business analysts to work with IT and create reports and presentations to be used for decisions. But there just aren’t enough professional resources of funds to support this approach. Hence, the evolution of Citizen Data Scientists.

Transform Business Users Into Citizen Data Scientists AND Transform Your Business

The evolution of self-serve augmented analytics tools and technologies like natural language processing (NLP) and NLP search, machine learning, flexible data visualization, and artificial intelligence (AI) provide support for business users without technical skills to gather and analyze data and produce reports, collaborate with other users and make recommendations using insight derived from advanced analytics. And this approach supports data democratization and data literacy.

The Citizen Data Scientist approach also transforms the organization by allowing business users to interact with and collaborate with IT and data scientists to take day-to-day data analytics and translate them into strategic initiatives with measurable results, accurate predictions and rapid flexible processes.

The Citizen Data Scientist approach transforms the organization by improving time to market, reducing rework and mitigating market missteps and improving productivity and the alignment of workflow and tasks with the goals and objectives of the enterprise. It provides a career path for business users and advances their knowledge and skills, allowing them to understand how their role directly influences results and to create and innovate.

‘When a business (large or small) makes the decision to transition business users to Citizen Data Scientists, it supports the alignment of goals and objectives with fact-based decision-making and improved data literacy, encouraging its users to embrace and understand data.’

To plan for and execute a Citizen Data Scientist initiative, the organization must engage an expert in augmented analytics and develop a comprehensive understanding of technology and cultural changes in order to advance this new idea within the ranks of IT, data scientists, business users, managers and executives.

Learn more about how the transformation of business users to Citizen Data Scientists can benefit your business, and how technology and appropriate Self-Serve Analytics Tools can support Citizen Data Scientists in their new role, and provide fact-based decision-making and advantages to the organization. Explore our free white papers and articles: ‘The Potential Of The Citizen Data Scientist Approach And Augmented Analytics,’ and ‘Leverage Citizen Data Scientists For Business And Business Users.’

Original Post : Citizen Data Scientists Are Important to Business Transformation!