Tag: Augmented Analytics

Conversational AI and NLP Expand Access to Analytics

author_img
by |
February 25, 2026

Users LOVE Conversational AI and Intuitive Analytics

Forbes Reports that Conversational AI is making autonomous agents capable of completing end-to-end workflows, so much so that Deloitte projects that 25% of businesses using GenAI will deploy AI agents in 2025 (growing to 50% in 2027).

Analytics solutions represents an ever-expending segment for conversational AI for features and function, and the use of Natural Language Processing (NLP) and Conversational Artificial Intelligence will continue to impact the industry as end users demand easier, more intuitive ways to prepare, analyze, share and report on data.

When we consider this evolving technology, and how it will continue to affect BI solutions and augmented analytics software, one thing is clear. The average enterprise and its users will push for more intuitive products and services, for ease-of-use and improved productivity, improved user adoption, affordability, the flexibility to grow and change with new technology and with business markets.

While we cannot make specific predictions about the evolution of AI and NLP, we can predict that businesses and users will push software vendors and technology companies to provide simpler tools, better, more accurate insight and results and automated features that provide users with alerts, suggestions and support to make their jobs easier and improve results.

Incorporating conversation AI bots and NLP within BI tools will allow users to monitor and manage results more easily and optimize their time by focusing on other, more crucial tasks.

When the organization invests in new or upgraded self-serve analytical tools, it must first ensure that users will adopt these tools and that the features and analytics provided will result in increased productivity and collaboration and resource optimization. When the enterprise selects BI tools with Conversational AI and NLP features, it can achieve all of these goals and assure a good Return on Investment (ROI) and Total Cost of Ownership (TCO).

As Artificial Intelligence (AI) and Natural Language Processing (NLP) technologies evolve, these technologies will be applied within advanced analytics, self-serve analytics and business intelligence (BI) tools to further improve features, provide better, faster insight and clearer, more concise results and optimize human resources and productivity.

Businesses and Users Push for More as Conversational AI and NLP Expands Access to Analytics

The future of AI and NLP in BI tools will support:

  • Processing large volumes of unstructured data (text, speech, written) to produce actionable insight and reports.
  • Automatically identifying trends, patterns and sentiments to alert users of changes and shifts that may affect goals.
  • Supporting decisions with conversational business intelligence to allow team members and executives to interact through NLP.
  • Real-time analytics to reveal sentiment, emotion, context and tone in customer interaction.
  • Automated reporting to save time and analyze complex data.
  • External data integration to analyze markets, social media, financial markets, investments, and other aspects of external data that will affect businesses.
  • Understanding and responding to voice commands, analyzing and working with contextual information, predicting user needs.
  • Eliminating static reporting, using conversational, dynamic analytics that can leverage predictive and analytical algorithms to produce results.

Contact Us to find out more about how your business can incorporate Artificial Intelligence (AI), natural language processing (NLP) and machine learning into your products, your business processes and your Digital Transformation (Dx) initiatives. Our AI-Enabled Advanced Analytics Solutions and Products And Services can help you achieve your vision with affordable, dependable technology. Explore our white paper ‘Conversational AI And NLP Analytics Reduces The Dependence And Usage Of Traditional BI Tools, And Improves User Adoption And Data Democratization,’ and our free articles about Agentic AI: ‘The New Age Of AI: Agentic AI’, and ‘What Is Agentic AI And Why Should I Consider It For Apps?’

Original Post : Conversational AI and NLP Expand Access to Analytics!

Mobile BI Tools Are Not Just Nice to Have, They Are A Necessity

author_img
by |
February 18, 2026

Mobile BI Tools Support Users and a Competitive Strategy

No matter the size of your business or the industry or market in which you compete, the importance of business intelligence (BI) and self-serve augmented analytics is no longer in question. Nearly every business is using some form of business intelligence today and, if your business is not, you are already behind the competition!

When we consider the growth of this important solution market, we find that the mobile market for business intelligence solutions is growing exponentially and that is not surprising. Today’s workforce is mobile and, even where employees work onsite, their work will take them away from a desk and into a manufacturing or production environment, or perhaps within the walls of a hospital, a university, a retail store, etc.

‘The shift to mobile BI tools is not just a matter of convenience. It is crucial that your team remain informed and that they have the tools they need to collaborate, share and present data, whether they are on the road, with a client or in an airport. This flexibility reflects the evolving business environment and the need for agility.’

A recent Mordor Intelligence Report revealed that the 2025 market size for mobile business intelligence was 19.33 billion USD and that the 2030 projected market size is 55.56 billion USD.

While many businesses rely solely on BI solutions and look to their team to implement and use these solutions, the growth of business intelligence services is also of note. The complexity of technology landscapes, in-house vs. cloud implementations, security and regulatory and industry compliance, as well as artificial intelligence (AI) add-ons and integration have created an environment that is often best served by expert services.

These services can help businesses to personalize and customize their approach and to provide meaningful mobile BI tools, embedded BI for familiar best-of-breed and legacy software solutions and other tools that will support end users and make the team more productive.

User accessibility and ease-of-use are paramount considerations. The shift to mobile BI tools is not just a matter of convenience. It is crucial that your team remain informed and that they have the tools they need to collaborate, share and present data, whether they are on the road, with a client or in an airport. This flexibility reflects the evolving business environment and the need for agility.

Whether you are a sales manager, a media executive, a healthcare provider or a business analyst, it is important to have access to a suite of BI tools that will help you gather and analyze business data using mobile devices.

Why is Mobile Business Intelligence Important for My Business in Today’s Work Environment?

The team needs interactive data tools and tools that enable sharing and collaboration, reporting and sophisticated analytics – all with dependable security. Users should also be able to tailor their mobile BI tools to suit their role and preferences and integrate the use of these tools within workflow to foster a data-driven, fact-based culture.

‘Today’s workforce is mobile and, even where employees work onsite, their work will take them away from a desk and into a manufacturing or production environment, or perhaps within the walls of a hospital, a university, a retail store, etc.’

Look for a mobile BI tool that will:

  • Support a native mobile environment for Android and iOS, with an intuitive user experience (Ux).
  • Provide access rights defined at the server level with appropriate security and privacy at all levels.
  • Accommodate hosting within the IT infrastructure, on-premises or in public or private cloud environs.
  • Provide users with access to dashboards, reports, and clickless analytics with a natural language processing (NLP) search function.
  • Provide expertise and services that are appropriate for the needs of your organization.

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.’

Original Post : Mobile BI Tools Are Not Just Nice to Have, They Are A Necessity!

Case Study : Augmented Analytics for India Electrical Sector Organization Focused on Testing, R&D and Certification

author_img
by |
February 10, 2026

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.

Continue reading “Case Study : Augmented Analytics for India Electrical Sector Organization Focused on Testing, R&D and Certification”

Smarten Support Portal Updates – January – 2026!

author_img
by |
February 5, 2026

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

Knowledgebase Articles

  1. Datasets & Cubes : Migration from Cube to Dataset
  2. Data Sources : Improving performance for fetching data from the database
  3. Crosstab : Spot the Gross Sales highlighters

Predictive Use cases

  1. Assisted predictive modelling : Classification : Customer Churn model using Smarten Assisted Predictive Modelling
  2. Assisted predictive modelling : Hypothesis : Independent Sample T-test Using Smarten Augmented Analytics

Forum Topics

  1. Dashboards : How to improve the dashboard loading time in Smarten?
  2. Others : General : How to add SSL certificate to the Smarten BI Portal?

Manuals and Technical Guides

  1. Smarten Concept Manual SmartenInsight
  2. Smarten Working with Real time data
  3. Smarten Working with On-Premise Gateway

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post : Smarten Support Portal Updates – January – 2026!

Case Study : Augmented Analytics for India-Based Municipal Corporation to Support Smart City Initiative

author_img
by |
January 30, 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.

Continue reading “Case Study : Augmented Analytics for India-Based Municipal Corporation to Support Smart City Initiative”

Embedded BI: What Makes a User Adopt BI Tools?

author_img
by |
January 7, 2026

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 Productivity, Don’t Forget the Needs of Your Team

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?

White Paper – Conversational AI and NLP Analytics Reduces the Dependence and Usage of Traditional BI Tools, and Improves User Adoption and Data Democratization

author_img
by |
January 7, 2026
White Paper – Conversational AI and NLP Analytics Reduces the Dependence and Usage of Traditional BI Tools, and Improves User Adoption and Data Democratization!

Conversational AI and NLP Analytics
Reduces the Dependence and Usage of Traditional BI Tools, and Improves User Adoption and Data Democratization

The incorporation of Artificial Intelligence (AI) and Natural Language processing (NLP) in existing business intelligence and self-serve analytics tools has had (and will continue to have) a profound influence on ease-of-use, on user adoption and on the democratization of data across the enterprise, and the use of Conversational AI and NLP is rapidly changing the face of BI tools and business user and organizational expectations.

Download White Paper

Which BI or Analytics Tool is Best for My Business?

author_img
by |
January 5, 2026

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.

What Do I Need to Consider When Choosing BI Tools and Analytics Solutions?

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?

Smarten Support Portal Updates – December – 2025!

author_img
by |
December 30, 2025

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal.

If you have not registered yet, Click Here to obtain your login credentials.

Knowledgebase Articles

  1. Datasets & Cubes : Data Operations
  2. GeoMap : Workflow to create Default geomap
  3. Crosstab : Making use of Cell references

Predictive Use cases

  1. Assisted predictive modelling : Medical Cost Prediction Using Smarten Assisted Predictive Modelling
  2. Assisted predictive modelling : Hypothesis : One-Way Anova test using Smarten Augmented Analytics

Business Use Cases

  1. Business Scenarios : Calculating Pending Completion Months for an Ongoing Project
  2. Business Scenarios : Find out the frequency of repetition of dimension value combinations – e.g. frequency of combination of bread and butter from sales transactions

Manuals and Technical Guides

  1. Smarten User Manual SSDP
  2. Smarten Working with Sentiment Analysis
  3. Smarten Dashboard Design Best Practices

If you don’t find what you need in the Support Portal, we hope you will contact us with your questions, comments or suggestions. We are here to help and to support your business goals and success!

URL: Smarten Customer and Partner Community
Email: support@Smarten.com

Original Post: Smarten Support Portal Updates – December – 2025!

Why on Earth Would I Want to Be a Citizen Data Scientist?

author_img
by |
November 12, 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?

The Advantages of Saying ‘Yes’ to Being a Citizen Data Scientist

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?