The Client is a premier not-for-profit institution in India, established as an independent organization with strong government and industry backing, and widely recognized for leadership in the electrical power testing, certification, inspection, and research domain.
Tag: Augmented Analytics
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Original Post : Smarten Support Portal Updates – January – 2026!
The Client is one of the largest municipal corporations in India, and is responsible for delivering essential civic services, i.e., water supply, sewage treatment, solid waste management, road infrastructure, public health, education, and environmental programs for an urban population of over 3.1 million citizens.
Embedded BI: Productivity vs. User Needs
Executives and managers may want to believe that staff and team members will always embrace and adopt new tools and processes just because they are told that these tools or processes will help the company. But this belief does not take into the consideration the pressures, stress and day-to-day realities a team member faces.
While the best of our team members may truly wish to support the company and have the best interests of the business in mind, even THEY are subject to the pressures of getting the job done, dealing with conflicting opinions and direction from other team members and from managers and just getting through the day!
When an IT team, executives and managers come together to choose the right business intelligence (BI), and augmented analytics tools, they often fail to consider ease-of-use, existing business processes and technology and user and team member skills and preferences.
‘When considering BI tools and self-serve analytics, it is wise to consider embedded BI solutions.’
As an executive or manager, your primary goal is to support the objectives of the business and to get the most out of the skills, knowledge and time of your team members. But, if you don’t provide the right tools and acknowledge the issues that impact productivity and team satisfaction, you will not achieve your goals.
A recent Forbes Article includes statistics from studies that include surveys of employees and the results are eye-opening:
- 40% of those surveyed feel their daily responsibilities have changed to a large extent within the past year.
- 78% rank flexibility as key to choosing a job.
So, if you want to recruit and keep the best team members, you need to provide the most efficient, productive, intuitive technology and tools.
When considering BI tools and self-serve analytics, it is wise to consider embedded BI solutions. These solutions allow your team to leverage familiar, existing software and solutions with integrated analytics. There is no need to migrate or move information from one system to another in order to perform analysis, and your team can use a single sign-on to access popular software and work in a way that is familiar and meaningful to them – all while having access to intuitive, self-serve BI tools that enable quick, clear analysis of data.
Benefits of Embedded BI
- Improved user adoption
- Reduced TCO
- Improved ROI
- Integration APIs provide intuitive, self-serve BI tools from within enterprise applications and public websites
- Users have access to facts, data and business insight
When surveyed, businesses using embedded BI reported the following results:
- 67% of companies say time spent in their applications increased after they embedded analytics
- 93% of application teams say embedded analytics improves their user experience
‘When an IT team, executives and managers come together to choose the right business intelligence (BI), and augmented analytics tools, they often fail to consider ease-of-use, existing business processes and technology and user and team member skills and preferences.’
If an enterprise includes team member satisfaction and user adoption concerns when it considers Business Intelligence (BI) and Augmented Analytics requirements, it can address productivity, employee optimization and user satisfaction. Adding Embedded BI to the technology landscape will ensure adoption of crucial software and business processes to improve business results and allow team members to leverage data, and capitalize on technology investment, while improving the quality of decisions and making the most of the knowledge, skills and time of its employees.
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.’
Original Post : Embedded BI: What Makes a User Adopt BI Tools?
Traditional BI, Augmented Analytics, or Modern BI/Analytics?
Whether your business is planning to acquire a business intelligence (BI) or augmented analytics tool for a first-time installation or looking to upgrade an existing system, the decision starts with the ‘what’ of the solution. What kind of solution will best fit your needs for infrastructure, integration, user requirements, pricing, upgrades etc. and what kind of approach, features and functionality will be most suitable for your business.
‘When considering a new or upgraded business intelligence or advanced analytics solution, it is important to look at your enterprise requirements to accommodate existing technologies and infrastructure, business processes and models and user needs.’
A Recent Study reveals a number of considerations to be included in your choice of BI tools and analytical platforms, including:
- Zero footprint: 100% web-based, no client-side installs or downloads required
- Support for role-based reporting and dashboards
- Support for mobile Business Intelligence
- Communication features like notes, comments, and likes
- Updates in real-time: your dashboard is always up to date
- Basket, advanced and predictive analysis
- Support for machine learning and generative AI
- Usability: ease-of-use and ease-of-learning
- Insights (graphs, definitions, et cetera) that are reusable across BI applications
While this study carves out what it considers to be the optimal analytics framework and platform, some of all of these considerations may not apply to your business needs.
When reviewing the various iterations of analytics frameworks and platforms, you will need to understand the following capabilities and structures. Understanding how each of these approaches works and what advantages and limitations they include will make it easier for you to choose a solution and approach to suit your needs.
Augmented Analytics
Today’s augmented data analytics incorporates artificial intelligence (AI) and machine learning (ML) to streamline, automate and improve the process of data analysis, so business users can more easily gather, interact with, select and report on data, simplifying data prep, insight and collaboration and allowing your team to explore data in a way that is meaningful to them.
Augmented analytics uses machine learning, natural language processing (NLP), and algorithms to easily analyze and manipulate large datasets and reduces the time needed for processing, thereby allowing business users to leverage analytics in their day-to-day workflow and freeing Data Scientists to perform more strategic tasks.
Benefits of Augmented Analytics
- Streamlined data prep and analytics
- Optimizes business user and data scientist time and effort
- Faster, more insightful decision-making
- Increased operational efficiency
- Democratized data analytics
Traditional Business intelligence
Traditional BI Tools use conventional analytical techniques and technologies to collect, analyze and present data. These systems typically rely on a centralized data source and a selected set of formatted reports. Users leverage data extraction, transformation and loading tools (ETL) to extract data from a data warehouse and online analytical processing (OLAP) tools to analyze data. Reports and visualization are typically delivered through a dashboard with standard key performance indicator (KPI) software to monitor metrics.
Benefits of Traditional BI Tools
- These tools provide support for a range of data types and data sources
- IT and/or data scientists can create standardized reports and models to address business and user needs
- The enterprise can maintain and control data sources on-site
Modern BI Tools and Augmented Analytics
When an organization integrates the use of modern BI tools with more advanced augmented analytics it can leverage artificial intelligence and traditional tools to satisfy the needs of a diverse set of users, business units, etc. Modern Business Intelligence technologies integrates more sophisticated features to bring analytics to all users and allow them to choose the tools that best suit their needs in a self-serve environment with automated data preparation, fast and easy data access and insight, Natural Language Processing (NLP) that allows users to ask questions using common language and receive answers using visualization techniques.
Benefits of Modern BI Tools and Augmented Analytics Combined
- Sophisticated self-serve analytics suitable for business users with limited technical skills
- Real-Time insights and reduced time-to-decision
- Monitoring and managing of trends, anomalies and other factors that impact results
- Collaboration and data democratization with unique tools to suit every user
‘When reviewing the various iterations of analytics frameworks and platforms, you will need to understand the following capabilities and structures. Understanding how each of these approaches works and what advantages and limitations they include will make it easier for you to choose a solution and approach to suit your needs.’
When considering a new or upgraded business intelligence or advanced analytics solution, it is important to look at your enterprise requirements to accommodate existing technologies and infrastructure, business processes and models and user needs.
Contact Us to discuss the unique needs of your organization and your users and find out more about Smarten Technology. The process of choosing the right Analytics Solution for your busine is crucial and must include a careful assessment of your needs. Explore our White Paper: ‘Enabling Business Optimization And Expense Reduction Through The Use Of Augmented Analytics,’ and our article, ‘How Does Low Code And No Code Development Support BI Tools?’
Original Post : Which BI or Analytics Tool is Best for My Business?
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Original Post: Smarten Support Portal Updates – December – 2025!
What’s a Citizen Data Scientist and Why Should I Care?
In 2015, Gartner coined the term, ‘Citizen Data Scientist’ and since then, the data analytics community and global business markets have never looked back! The results of Citizen Data Scientists initiatives were spotty, at best, in the early days, principally because enterprises did not spend enough time planning for the roll-out and anticipating cultural, technological and resource issues.
Gartner Analysts Predict that organizations can truly benefits from implementing a Citizen Data Scientist strategy and their research reveals that ‘…citizen data scientists will surpass data scientists in the amount of advanced analysis produced, and that, ‘Early adopters of augmented analytics have the potential to realize more strategic and differentiating business benefits from their analytics investments than those who wait until these technologies are widely adopted.’
‘With additional skills and knowledge, you become more valuable to the organization and the team and your visibility and leadership in the use of data and analytics will position you well for career advancement.’
Today, the Citizen Data Scientist community is thriving and local, regional and global businesses are reaping the benefits. But, what about the impact on business users? Are there real benefits to team members who embrace the Citizen Data Scientist role, or is it all smoke and mirrors?
Benefits for Business Users
- Improve Your Data Literacy – If you are curious about the use of data, or you consider yourself a power user and love to learn new technology, you will be motivated and challenged by the use of data analytics and you will improve your data literacy. Any and all new skills you learn within your role in an organization can help you advance your career and keep your day-to-day tasks interesting. Today, data literacy and comfort with technology is crucial to personal and career success.
- Expand Your Career Opportunities – With additional skills and knowledge, you become more valuable to the organization and the team and your visibility and leadership in the use of data and analytics will position you well for career advancement. Using data to make fact-based decisions and recommendations and to present options to management is a great way to get noticed!
- Collaborate with IT and Data Scientists – Expand your reach across the organization and make your skills known by collaborating with IT and data scientists. When your day-to-day analytics is noticed, and your management team needs to advance strategic initiatives, you can collaborate with IT and data scientists to share and create the insights your team and management.
- Add Value to the Organization – Discover and explore data and create analytical approaches and formats to share with your team members. Help the organization avoid missteps in the market, identify buying behavior, conceive new products and services and to create a competitive advantage with measurable results that will help you AND the enterprise.
‘Today, data literacy and comfort with technology is crucial to personal and career success.’
If you wish to know more about the Citizen Data Scientist approach and how augmented analytics tools and your industry and market knowledge can position you for success in this role, Contact Us today to find out how our team can help you to improve business results and increase team collaboration, data literacy, productivity and competitive advantage. Get started today with our self-paced FREE Online Citizen Data Scientist course.
Original Post : Why on Earth Would I Want to Be a Citizen Data Scientist?
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Original Post: Smarten Support Portal Updates – October – 2025!
How Has the Citizen Data Scientist Role Evolved?
Ten years ago, the term ‘Citizen Data Scientist’ was coined by the world-renowned technology research firm, Gartner. The term refers to business team members whose expertise and role are not focused on analytics as a primary job function. Using self-serve analytics solutions, these team members can leverage analytics to create models, reports and analysis to collaborate, share and make decisions. Gartner predicted the emergence of this role within businesses as part of the growing importance of data analytics and data-driven decisions within the business environment.
A decade later, it is worth reviewing the status of this role in the business enterprise and within the average organization. Is the Citizen Data Scientist role a standard role within most businesses today? Does a Citizen Data Scientist replace or work independently from a Data Scientist or Business Analyst? Has the Gartner prediction come to fruition?
While there are no current statistics regarding the number of companies currently using a Citizen Data Scientist approach, the trend toward data-driven planning and forecasting is clear. As with many other business trends, the larger organizations usually take the lead. They have the budget and the depth of resources to plan for and deploy changes across the enterprise and to test theories and enforce cultural changes.
Here are some statistics that reflect the growth of the Citizen Data Scientist movement and the supporting technologies that engender this approach:
- Studies reveal that the number of Citizen Data Scientists is growing five times faster than the number of Data Scientists.
- Automation technologies support the growth of the Citizen Data Scientist approach with over 40% of data science tasks automated through augmented analytics and/or machine learning.
- The Machine Learning (ML) market is growing at a compounded annual rate of more than 15%, reflecting the need for data analytics capabilities within self-serve solutions.
- By some estimates, interest in the Citizen Data Scientist role has tripled in the past decade, as medium and small enterprises embrace new, intuitive, more affordable technologies to support the Citizen Data Scientist concept within their organization.
As this concept became mainstream, the industries saw a trend toward increasing data-driven insight while reducing dependence on Data Scientists.
While the Citizen Data Scientist role began as a basic initiative to gather data and create simple reports, today’s Citizen Data Scientists are now using business intelligence (BI) tools and augmented analytics with Natural Language Processing (NLP), machine learning, low-code and no-code platforms and other technologies to leverage limited technical skills and create sophisticated analytics with clear results. Reports, dashboards and data sharing allow team members to create and use data models and to increase data literacy and data democratization.
Team members can use smart data visualization and assisted predictive modeling to gain insight and solve day-to-day problems, advise management and collaborate with other team members to understand trends, patterns, challenges, and opportunities and leverage metrics to make fact-based decisions.
This evolution of the Citizen Data Scientist role within the organization can free Data Scientists to perform more strategic activities without the daily distraction of simple report requests. If and when a particular data model or analytical approach must be refined to be more strategic, the Citizen Data Scientist can work with the Data Scientist to achieve that goal.
Using this approach, the enterprise can empower team members with the tools to analyze data and to use their knowledge of the industry, market, customers and business environment to make decisions and improve results.
When we consider the last decade of Citizen Data Scientist evolution, we see that businesses across all industries are working toward a more data-driven approach to decision-making, and embracing data democracy as a means to improve productivity and the quality of decisions and to reduce re-work and missteps.
Contact Us to discuss your analytical needs and to find out more about Citizen Data Scientists, and the process of choosing the right Analytics Solution for your business. Explore our free White Papers: ‘The Potential Of The Citizen Data Scientist Approach And Augmented Analytics,’ ‘Enabling Business Optimization And Expense Reduction Through The Use Of Augmented Analytics,’ and ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI Tools.’
Original Post : What Are Citizen Data Scientists Doing Today?
