Author: Smarten

Embedded BI Tools Ensure User Adoption and Great ROI

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August 20, 2025

Embedded BI is Key to Return on Investment (ROI)

Your business probably spent a lot of time developing a strategy for business intelligence and data democratization. That is time well spent! You want to roll out the solution with care and be sure that your team members, managers and IT staff are ready to use and support the software and to make the most of the investment.

If your business chose the right solution, you will have seamless integration of information from disparate data sources so your team will have the information they need to gather, analyze and present information for confident, swift decision-making and improved results.

‘With the right business intelligence software and embedded BI capabilities, your business can improve overall organizational value for BI tools, provide unique solutions and integration with analytics without significant investment, and improve user adoption and return on investment (ROI) for business intelligence technology.’

There are numerous factors that affect user adoption of business intelligence solutions but one of the primary considerations is ease of access and use. No matter your business industry or environment, there is no doubt that your team members have learned to use critical enterprise applications and perhaps even software and apps that are unique to their role or their division or department.

When a business introduces new software, most users are hesitant to embrace it – not necessarily because they are lazy or resistant, but because they are often overwhelmed with workload and perhaps because they perceive that the time spent to learn this new solution may not provide the value they need.

Of course, it is crucial to choose an easy-to-use, personalized BI tool, but it is equally important to choose a solution with embedded BI capability.

67% of companies say time spent in their applications increased after they embedded analytics.

Seamless integration of Augmented Analytics and Business Intelligence Objects with easy to use, scalable integration APIs ensures that your team has the power of integrated business intelligence when and where they need it, with simple, easy-to-use analytics integration within enterprise and business applications in a single sign-on environment.

Protect Your Business Intelligence Investment with Embedded BI

Business users can access augmented analytics and BI tools from within their enterprise applications or mobile apps. Engender business intelligence data democratization and alleviate user frustration with real business user solutions and deep dive capabilities. Provide user access within their favorite applications to improve user adoption of business intelligence tools, and engender collaboration, data sharing and fact-based decisions.

The team member can access analytics from within popular, familiar apps and software and use analytics in a single sign-on environment to gather and analyze data for presentation and sharing.

Users have access to embedded BI objects from within the selected application so they can view and use integrated dashboards, cross-tab analytics, key performance indicators (KPIs), graphs and reports.

‘There are numerous factors that affect user adoption of business intelligence solutions but one of the primary considerations is ease of access and use.’

With the right business intelligence software and embedded BI capabilities, your business can improve overall organizational value for BI tools, provide unique solutions and integration with analytics without significant investment, and improve user adoption and return on investment (ROI) for business intelligence technology.

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 Tools Ensure User Adoption and Great ROI!

Case Study : Augmented Analytics for Leading Electric Scooter Manufacturer in India!

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August 12, 2025

Augmented Analytics for Leading Electric Scooter Manufacturer in India

The Client is a leading electric mobility company in India, specializing in high-performance electric two-wheel scooters engineered for sustainable urban transportation. With a robust presence across 200+ cities, the organization leverages lithium-based battery technology, and advanced electric powertrain systems that are tailored to accommodate Indian road conditions.

Continue reading “Case Study : Augmented Analytics for Leading Electric Scooter Manufacturer in India!”

Augmented Analytics CAN Support Data Scientists Too!

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August 7, 2025

Self-Serve, Augmented Analytics IS Suitable for Data Scientists

The world of data scientists and business analysts is chock full of data and busier than you might expect – especially today! Businesses have discovered the value of data in decision-making and, as markets and competition shift and change, these businesses have come to depend on IT staff and on data scientists to provide data to make decisions at the department, divisional, operational and strategic level.

The problem is, as always…TIME! There aren’t enough analysts and data scientists, the IT team is busy working on other tasks and the clock does not stop ticking.

And there is one other factor at play in the data analytics movement. As data democratization and data literacy drive the enterprise strategy and business users begin to leverage augmented analytics and business intelligence (BI) tools, the data scientist is also called upon to refine and present analytics and reports created by team members in order to ensure that these are appropriate for more strategic decisions.

The world-renowned technology research firm, Gartner, states that, ‘Data Scientists typically spend more than 40% of time in preparing and enriching data.’

Imagine what you, as a data scientist could do with a data analytics solution that can save time on data preparation and data enrichment!

‘When an enterprise includes data scientists, business analysts and IT staff in the roll-out of augmented analytics and self-serve BI tools, it enables productivity, streamlines and speeds the analytical process and improves results.’

You have the tools and systems for data extraction, transformation and loading (ETL), you have scripting tools like R, you have spreadsheets and more, but using all of those tools to gather, analyze, scrub and present that data takes time.

Data Scientists May Not Believe That Augmented Analytics is Suitable for Them…But They’re Wrong!

As a Data Scientist, you have the responsibility and accountability to produce reliable analytics to satisfy all manner of needs within the organization. You never know what corner of the enterprise might need your services but you DO know that your analysis and services must be 100% accurate and dependable. When business users depend on you to produce information on a day-to-day basis, it is nearly impossible to focus on the more strategic, crucial imperatives.

  • What if you could more easily derive data from disparate sources and prepare it for analysis?
  • What if you could integrate R scripting with advanced analytical tools to take your analysis to the next level?
  • What if you can use quick hypothesis and prototyping to choose the right influencers and model accuracy for your project?
  • What if you have a platform where you can roll out interactive dashboards, reports and results of your model production environment in minutes?

When an enterprise includes data scientists, business analysts and IT staff in the roll-out of augmented analytics and self-serve BI tools, it enables productivity, streamlines and speeds the analytical process and improves results. Data Scientists can optimize time and resources and to use their core expertise to achieve results. Data Scientists can use self-serve data preparation, to quickly create datasets without deep SQL or ETL skills, and they can use smart data visualization and tools to use output of algorithms in R, Python or other Data Science platforms to leverage existing investments in these technologies, and they can create and roll-out predictive models in a production environment to support the organization and business user needs.

‘Imagine what you, as a data scientist could do with a data analytics solution that can save time on data preparation and data enrichment!’

As business users create analytics for quick decisions and the organization needs to refine this analysis for strategic use, a data scientist can use the same augmented analytics tools to focus on that project and ensure accuracy, collaborating with Citizen Data Scientists and IT to align analytics with key objectives and goals.

With the time your Data Scientists will save, they can focus on the most critical strategic initiatives and move the enterprise forward with fact-based decision-making.

To learn more about Augmented Analytics that are suitable for data scientists, business analysts, IT staff and business users, and explore the potential of Advanced Reporting Tools, Contact Us now.

Original Post: Augmented Analytics CAN Support Data Scientists Too!

Smarten Support Portal Updates – July – 2025!

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August 1, 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. Data Sources : Adding a new JDBC/ODBC Database Driver/Connector to Smarten
  2. Visualizations : Making use of Case statements (IfCase, When-Then)
  3. Administrator : Enable Managed Memory In Objects

Predictive Use cases

  1. Assisted predictive modelling : Classification : Customer Churn model using Smarten Assisted Predictive Modelling
  2. Assisted predictive modelling : Regression : Sampling Data using Smarten Augmented Analytics

Business Use Cases

  1. Business Scenarios : Calculating Pending Completion Months for an Ongoing Project
  2. Business Scenarios : Derive monthly closing balance of various items from yearly opening balance and their monthly transactions data

Manuals and Technical Guides

  1. Smarten Concept Manual SmartenInsight
  2. Smarten SSDP Best Practices
  3. Smarten Working with Reports

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 – July – 2025!

Leverage Citizen Data Scientists for Business and Business Users

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July 23, 2025

Business and Team Member Benefits of Citizen Data Scientists!

When a business considers the prospect of implementing business intelligence and augmented analytics tools to align objectives and streamline processes and decision-making, the business management and executive team can often see the project as time-consuming and expensive.

In fact, most proposals that include process changes, training and new technology get stalled because:

a. change is hard

b. there is a tendency to say that everything is just fine the way it is

c. the management team believes that the expense is not equal to the value of the transition.

When it comes to BI tools and self-serve analytics, all of these claims can be disproven by results.

‘By providing business users with easy-to-use BI tools and augmented analytics features that produce results and allow them to make the most of their knowledge and time, the organization is more likely to retain its human resource assets and to identify and utilize its team member skills to achieve results, thereby creating a competitive advantage and a more agile, streamlined enterprise.’

In fact, Gartner has predicted 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.’

Results and benefits are proven across the enterprise by businesses that have already adopted business intelligence and augmented analytics.

Minimum Viable Products (MVP) Produces Better Business Start-Up Results

For the organization, these benefits include:

  • Support for data-driven, fact-based decision making
  • Insight and perspective into history, results and trends and patterns for strategy and operational decisions
  • Encouraging collaboration among team members, IT, business analysts and data scientists
  • Business agility and efficiency
  • Leveraging human resource assets and improving productivity
  • Creating a competitive advantage with rapid decision-making and market response
  • Improving and optimizing financial investments, forecasts and predictions

For business users, transitioning to Citizen Data Scientists, the advantages include:

  • Combining professional and industry knowledge with data to achieve accurate results
  • Leveraging simple BI tools and self-serve analytics to receive recommendations and suggestions and make quick, clear decisions
  • Reducing the need for IT and data scientist assistance
  • Collaborating with other business users to create and share data, reports and information
  • Advancing career goals by learning and using tools that combine existing skills with new analytical capabilities
  • Improving data-driven decisions and reducing re-work

By providing business users with easy-to-use BI tools and augmented analytics features that produce results and allow them to make the most of their knowledge and time, the organization is more likely to retain its human resource assets and to identify and utilize its team member skills to achieve results, thereby creating a competitive advantage and a more agile, streamlined enterprise.

‘Gartner has predicted 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.’

If your business wishes to capitalize on the potential of the Citizen Data Scientist approach, it important to work with an IT Partner who can help you define your requirements and strategize for optimal success, providing the augmented analytics tools and knowledge of the industry that is required to position you for success. Get started today with our self-paced FREE Online Citizen Data Scientist course.

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.

Original Post : Leverage Citizen Data Scientists for Business and Business Users!

Look to Cross-Tab and Tabular Analytical BI Tools for Clear Results

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July 9, 2025

Cross-Tab and Tabular Reporting Tools Are Foundational!

The evolution of advanced analytics has been rapid and impressive. With features that provide support for business users and help to transition them into Citizen Data Scientists, and the addition of Artificial Intelligence (AI) and other capabilities like Natural Language Processing (NLP) and search analytics, augmented analytics is suitable for every team member in your organization. It is easy to be impressed with all of the new bells and whistles and these additions certainly do make a user’s life easier and help the organization to analyze and use data in a more meaningful way.

But while we are admiring these new BI tools and analytics features and technologies, we should give equal respect to the bread and butter of the business intelligence (BI) and analytical landscape! Foundational, comprehensive visualization techniques are not only meaningful, they are mandatory.

‘With flexible views and report formats and interactive features and presentation capabilities, your business users, managers, IT team and data scientists can leverage data across disparate data structures and view and present that data with intuitive formats for fact-based decision-making.’

Analytics and business intelligence (BI) tools provide many such options including:

Cross-Tab – Cross-tabulation analysis (or crosstabs), analyzes and categorizes data to reveal the relationship between two or more variables to help you make sense of survey results, reveal actionable tasks, find patterns and correlations. Cross-tab analytics can be used for categorical variables (with independent or dependent variables), for contingency tables, marginal totals, or conditional frequencies, and many other purposes.

Tabular – Tabular visualization facilitates quick comparison of data in a tabular form, marrying data classification with data presentation to reveal measures and averages in a structured format that is easy to manipulate, compare and understand. Tabular analytics can be used for statistical analysis or units of measure among other uses.

According to research at the University of North Carolina (UNC), cross-tab and tabular analytics account for 90% of the analytical techniques used in all research analysis.

A BI reporting tool that enables users to customize their view and approach and is easy to understand and use will make the user more productive and ensure Return on Investment (ROI).

Analytics Can Be Flashy, But Traditional Cross-Tab and Tabular Visualization is Your Bread and Butter

These foundational analytical visualization techniques are easy to understand and use and are suitable for business users and all team members. When you choose a Business Intelligence reporting tool that enables report, template and document design and configuration and supports preprinted fixed formats too. With flexible views and report formats and interactive features and presentation capabilities, your business users, managers, IT team and data scientists can leverage data across disparate data structures and view and present that data with intuitive formats for fact-based decision-making. IT team members or consultants can leverage a simple, basic programming or scripting environment to define format templates and use data from Datasets and objects to produce stunning pixel perfect reports. Users can preview reports, export data to PDF files and share documents and reports via email at predefined frequency using delivery and publishing agents.

‘While we are admiring new BI tools, features and technologies, we should give equal respect to the bread and butter of the business intelligence (BI) and analytical landscape! Foundational, comprehensive visualization techniques are not only meaningful, they are mandatory.’

To learn more about Traditional BI Tools And Visualization Techniques and the promise of augmented analytics and Advanced Reporting Tools, contact us now. Find out how to  ensure Return on Investment (ROI) and Total Cost of Ownership (TCO) results, gain a competitive market advantage, and enable user adoption, read our free White Paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’ Explore The Benefits of our Augmented Analytics And BI Tools, Contact Us. Keep pace with changing enterprise needs and support business agility. Let us help you realize your business goals and objectives with fact-based information, and flexible, scalable technology solutions that will support Citizen Data Scientist initiatives, and improved data literacy and data democratization.

Original Post: Look to Cross-Tab and Tabular Analytical BI Tools for Clear Results!

Smarten Support Portal Updates – June – 2025!

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June 23, 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 : Handling multiple JOINs through Step by Step Procedure to create a dataset
  2. Smarten APIs : Dataset Management : Get Dataset
  3. Crosstab : Making use of Cell references
  4. Geomap : Workflow to create Default geomap

Predictive Use cases

  1. Assisted predictive modelling : Regression : Medical Cost Prediction Using Smarten Assisted Predictive Modelling
  2. Assisted predictive modelling : Hypothesis : Independent Sample T-test Using Smarten Augmented Analytics

Business Use Cases

  1. Business Scenarios : Calculation of Working Days Excluding Plant-Specific Holidays and Sundays
  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 Working with Real time data
  2. Smarten Concept Manual SnapShot
  3. Smarten Working with Multitenancy

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 – June – 2025!

Mobile BI is Not Just Nice to Have – It’s Crucial!

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June 18, 2025

Improve Results, Precision and User Adoption with Mobile BI

Two things are true today. The first is that we are a mobile society, tied to our devices, carrying them with us everywhere to stay connected, to get information and to communicate. The second true thing is that we are busier than ever and, if we are to keep up, we must find ways to be more productive. The advent of technology and the rapid pace of change has created a situation where there is always more to do than we have time to do!

When it comes to business, both of these true things are even truer! If we are a business owner or manager we know that we never have enough resources or staff and that the invaluable knowledge of our employees and professionals must be leveraged and optimized if we are to succeed. We also know that most companies today have team and staff members who are not working within the walls of a manufacturing plant or an office. Even in a retail business, our team members are often working after hours or they are on the road visiting suppliers or buyers.

That’s where mobile business intelligence (BI) comes in! Every business needs analytics and data to understand where the business is today, where it is going and what we need to do to keep the business moving on the path to success. But, information is everywhere and it can be difficult to gather it and make sense of it and use it to make decisions.

‘A mobile business intelligence (BI) app should not short change your users with restrictive formats or views.’

By integrating enterprise data and making it available in an easy-to-use mobile interface, you can allow every user in the enterprise to use data in a way that is meaningful to them and to their tasks and decisions and if that analytical solution is available on a mobile device, we enable them to be productive in airports, hotels, at client or supplier offices and while working at home.

Mobile Business Intelligence (BI) Provides Critical Support for Business Growth and User Adoption

According to a recent study by Mordor Intelligence, the fastest growing mobile BI market is in the Asia Pacific region and the largest market is in the United States.

If you are interested in expanding your business intelligence solution to a mobile environment, or in acquiring BI tools for your team, the right Mobile BI solution will:

  • Provide a native application with a seamless user interface that supports a great user experience (Ux) for ALL users (even those with average technical skills)
  • Be available for iOS and Android
  • Be suitable for self-serve analytics to encourage user adoption
  • Be easy to deploy and use
  • Provide good support
  • Be affordable
  • Provide support for data democratization and improved data literacy
  • Provide suitable return on investment (ROI) and total cost of ownership (TCO)

A mobile business intelligence (BI) app should not short change your users with restrictive formats or views. Look for a solution with:

  • Clear, flexible data visualization
  • Dynamic charts and graphs
  • Supportive dashboards and clear reports
  • Clickless analytics that are easy to use
  • Key performance indicators (KPIs) and metrics
  • Natural Language Processing (NLP) analytics that are intuitive and easy

‘By integrating enterprise data and making it available in an easy-to-use mobile interface, we allow every user in the enterprise to use data in a way that is meaningful to them and to their tasks and decisions.’

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 is Not Just Nice to Have – It’s Crucial!

How Does Low-Code, No-Code Development Support BI Tools?

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June 11, 2025

BI Tools with Low Code No Code Development Provide Flexibility

What is Low-Code, No-Code development? Is it important for your business to understand its value and how it can be used in business intelligence? Well, if you are planning to upgrade your BI tools or invest in business intelligence (BI) for the first time, it is important for you to understand the components and how the composition of your BI tools can establish a solid foundation for growth and provide flexibility for change.

Low-code and no-code application development are methodologies for faster and simpler software development. The techniques use platforms and software to minimize code and enable drag and drop and other techniques to simplify and speed the development process.

‘The LCNC approach allows business intelligence vendors to create, configure, integrate, deploy and support BI tools at a lower cost, reducing the cost of the solution and ensuring that your team can transition to a Citizen Data Scientist role.’

According to a recent study:

  • No-code and low-code platforms help reduce app development time by 90%.
  • 70% of new business applications will use low-code/no-code technologies by 2025.
  • Compared to conventional app-building platforms, no-code solutions consume 70% fewer resources.
  • Gartner forecasts that low-code adoption will be so widespread that 75% of the software solutions built around the globe will be made with the help of such tools.
Low-Code, No-Code (LCNC) Adds Flexibility to Business Intelligence Solutions

So, why would this be important to YOUR business?

  • First, the flexibility and speed provided by Low-Code, No-Code (LCNC) development will allow your vendor of choice to quickly and easily respond to the market and provide new features and functionality.
  • Secondly, the ease of development allows developers to customize and personalize to respond to your needs.

When Low Code and No Code techniques are applied to business intelligence and augmented analytics solution development, there are numerous advantages. Here are just a few:

Application Development – The low-code, no-code approach reduces the time involved in application development, providing features and functionality to support user needs, supporting data visualization, reporting and a seamless user experience (Ux).

Solution Flexibility – LCNC development allows the development team to achieve flexible data construction and to easily integrate data from disparate data sources, producing an intuitive dashboard view and reports for users, so your team can use advanced analytics without advanced technology skills. Your enterprise can enjoy personalized dashboards and views that are suitable for the team, department, division, etc.

Building for the Future – Low code no code development allows the vendor development team to produce rapid results and to build in flexibility for the future, so BI software can keep pace with the market, with business needs and with your users. This approach allows the development team to support analytics, reporting requirements, data visualization, and data integration and modeling.

Productivity and Resources – Because this approach supports rapid development and creates a responsive environment, business owners and managers can work with the vendor and development team to address new business requirements, support team members with easy-to-use tools and anticipate changes in their competitive landscape with features and functionality that support workflow, business processes and user productivity.

Total Cost of Ownership (TCO) and Return on Investment (ROI) – The LCNC approach allows business intelligence vendors to create, configure, integrate, deploy and support BI tools at a lower cost, reducing the cost of the solution and ensuring that your team can transition to a Citizen Data Scientist role, thereby holding costs for data scientists, etc. The BI tools included in the technology stack will be affordable and provide a solid foundation for cost-effective growth.

‘The  flexibility and speed provided by Low-Code, No-Code (LCNC) development will allow your vendor of choice to quickly and easily respond to the market and provide new features and functionality.’

What is Low-Code, No-Code development? Is it important for your business to understand its value and how it can be used in business intelligence? Well, if you are planning to upgrade your BI tools or invest in business intelligence (BI) for the first time, it is important for you to understand the components and how the composition of your BI tools can establish a solid foundation for growth and provide flexibility for change.

To learn more about the use of Low-Code/No-Code Development in augmented analytics and business intelligence tools, explore our free article, ‘Low-Code, No-Code In Analytics.’

Find out how to ensure Return on Investment (ROI) and Total Cost of Ownership (TCO) results, gain a competitive market advantage, and enable user adoption, read our free White Paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’ Explore The Benefits of our Augmented Analytics And BI Tools, Contact Us. Keep pace with changing enterprise needs and support business agility. Let us help you realize your business goals and objectives with fact-based information, and flexible, scalable technology solutions that will support Citizen Data Scientist initiatives, and improved data literacy and data democratization.

Original Post: How Does Low-Code, No-Code Development Support BI Tools?

White Paper – The Potential of the Citizen Data Scientist Approach and Augmented Analytics

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May 27, 2025
White Paper – The Potential of the Citizen Data Scientist Approach and Augmented Analytics

Understanding the role of a Citizen Data Scientist and the opportunities provided by this approach is the first step in leveraging the Citizen Data Scientist approach. Engaging a vendor and choosing the right Augmented Analytics Business Intelligence tools, services, training and deployment will ensure success. The prospect of transforming business users into Citizen Data Scientists may seem daunting but, with the appropriate planning and support, and the appropriate Augmented Analytics solution, the initiative can be extremely successful.

(more…) "White Paper – The Potential of the Citizen Data Scientist Approach and Augmented Analytics"