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Enhance BI Tools and Analytics with Low-Code, No-Code Development!

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January 6, 2025

BI Tools and Analytics with Low-Code, No-Code Features!

Whether your team is currently using traditional business intelligence, or augmented analytics tools, or you are planning to implement your first analytics solution, it is important to understand the relevance of low-code and no-code development (LCNC) and LCNC features and techniques to your team and your selected analytics solution.

Analytics with business intelligence and low code no code go hand-in-hand. The solution you choose can and should include both standard BI tools and sophisticated augmented analytics.

The global technology research firm, Forrester highlights the complexity of existing technology environs, and the importance of supporting the business with agile, adaptable tools and workforce and suggests that low-code/no-code development allows organizations to accelerate innovation and increase business agility and sustainability.

‘By integrating this approach within the business intelligence and augmented analytics environment the business can eliminate the need for expert programmers and IT professionals and allow team members to perform simple analytical, reporting and visualization tasks and create and explore analytics without the assistance of consultants or IT staff.’

When we add a low code no code complement to this environment, we integrate simple technology that allows the analytics solution to keep pace with your changing organization while enabling data sharing and user adoption so the enterprise can produce fast, dependable insights and improve the value of business analysis across the enterprise, and democratize the use of advanced analytics.

How Can Low-Code, No-Code Development Enhance BI Tools and Predictive Analytics?

To further illustrate how low code and no code development can be leveraged in BI tools and analytics, let’s look at some examples of how LCNC can be integrated within the analytics environment to improve, enhance and innovate analytics features and functionality.

Data Preparation, Transformation and Cleaning

Connect to multiple data sources, clean and transform data using intuitive visual tools, wizards, data pipeline charts and configuration, without the need to create complex extraction, transformation and loading (ETL) scripts.

Data Visualization

A drag and drop smart visualization engine allows the user to select the best fit and most appropriate options to visualize a particular dataset based on data columns, types, data volume and other factors.

Self-Serve Reports, Graphs and Dashboards

The team can leverage self-serve tools and wizards with drag n’ drop features to create dashboards, reports and summaries, to pivot and unpivot data, to add columns, spot lighters, and other features to enhance and clarify data presentation.

Predictive Modeling

A wizard-based, guided user interface (UI) helps users to create predictive models with no need for IT intervention, and no programming or scripting experience. The system will suggest the best-fit algorithm for the data the user wishes to analyze and fine tune parameters to create accurate, appropriate predictive models.

Anomaly Alerts

Key Performance Indicators (KPIs) are configured with simple or complex expressions, thresholds and frequencies, using a wizard-based user interface (UI), so the team can achieve swift results without IT intervention.

Expressions

An easy-to-use expression engine leverages functions and syntax with examples and test/validation features for key performance indicators (KPIs), new columns and other areas where expressions are required.

BI Platform Administration

The Application Administrator is a 100% graphical user interface (GUI) system that allows for platform and application management without scripting.

User Access Rights and Permissions

Configure and manage user access rights without scripting or programming using a 100% graphical user interface (UI) approach.

Embedded BI

Optimize application integration with easy-to-use Application Programming Interfaces (API) to embed BI objects and predictive models within third-party applications, and perform administrative tasks including user management and user access rights management.

By integrating this approach within the business intelligence and augmented analytics environment the business can eliminate the need for expert programmers and IT professionals and allow team members to perform simple analytical, reporting and visualization tasks and create and explore analytics without the assistance of consultants or IT staff, thereby reducing dependency on data scientists and IT and enabling power users and Citizen Data Scientists.

In addition, the use of low code and no code techniques and platforms allows for improved performance, and provides the flexibility to address rapidly changing user and business requirements as well as allowing the solution vendor to quickly add features and upgrade the solution to keep it evergreen.

For a more detailed discussion of Low-Code/No-Code in Analytics, explore our complementary article, ‘The Use And Benefits Of Low-Code No-Code Development In Business Intelligence (BI) And Predictive Analytics Solutions.’

‘Analytics with business intelligence and low code no code go hand-in-hand. The solution you choose can and should include both standard BI tools and sophisticated augmented analytics.’

Contact Us to find out how no code data analytics and the low code approach for business analytics can support your needs. Our Business Intelligence And Augmented Analytics solution can help your business achieve objectives. Read this free article to discover the potential of no code business intelligence software and LCNC And AI In Predictive Analytics, explore  our seamless Analytics Solution Technology. Download A Free Trial Of Smarten Analytics Software.

For a detailed discussion of Low-Code/No-Code in Analytics, explore our complementary article, ‘The Use And Benefits Of Low-Code No-Code Development In Business Intelligence (BI) And Predictive Analytics Solutions,’ ‘What Is LCNC And How Does It Change The Analytics Market?’, ‘Choose The Right LCNC BI Tools And Predictive Analytics,’ and ‘LCNC Benefits Teams, Business Users And Citizen Data Scientists.’

Original Post: Enhance BI Tools and Analytics with Low-Code, No-Code Development!

Low-Code and No-Code Development in Analytics!

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January 6, 2025

Using LCNC in Augmented Analytics

Low-Code Development and No-Code Development have been getting a lot of press in technology publications and conferences of late. If you are interested in finding out more about this topic, and about how low-code, no-code (LCNC) can be used to enhance analytics and change the approach of the self-serve, augmented analytics market, this article will provide you with a primer.

‘Including the LCNC approach in BI and analytics tools can and will support the enterprise as it moves forward, and can provide advantages and support for the future.’

Let’s begin with a Definition Of Low Code And No Code, and a discussion of the difference between Low Code And No Code Development.

What is Low-Code, No-Code Development and How Is It Used in the Analytics Market?

 

Low-Code Development

Low-Code Development allows programmers and developers to quickly and easily create applications using tools that simplify the development process with drag and drop components that enable the team to add features without writing code ‘from scratch.’ This visual development approach uses a graphical user interface (GUI) to support programmers as they build applications. To understand how this benefits the development team and the business, it is important to understand how low code platform works. By enabling swift development and mitigating the use of complex code, developers can easily add features to keep pace with the market and customer needs, so upgrades and iterations are fast and easy. The low-code platform is easy to integrate with existing systems, so it will support users of popular and familiar solutions with new features that are easy to use.

No-Code Development

No-Code Development requires no coding and is used to create simple, basic applications that can be quickly deployed and upgraded. The no code environment uses a graphical user interface (GUI) that is user-friendly and easy for developers to navigate. It supports developer productivity with easy-to-use tools and is less expensive than the typical software development approach, and it is easy to customize, though it is not scalable for complex application development and will produce only limited functionality. The no-code platform is fast and easy to use and provides an additional set of tools and an approach that will support programmer productivity and get products and upgrades to market quickly.

When considering the difference between low code and no code development, here is the bottom line:

Low-Code solutions use visual development environments and automated links to back-end systems, databases, web services and APIs.

No-Code solutions utilize visual drag-and-drop interfaces and require no coding, but rather are configured and implemented quickly, using the skilled application of tools and techniques.

The top low-code platforms are easy for developers to learn and the no-code environments have a library of pre-built components from which the team can choose.

World-renowned technology research firm, Gartner, predicts that low-code development tools will account for 75% of new application development by 2026. This prediction is primarily based on what Gartner perceives as increasing pressure for businesses to adapt quickly to market and competitive trends and changes.

The global technology research firm, Forrester highlights the complexity of existing technology environs, and the importance of supporting the business with agile, adaptable tools and workforce and suggests that low-code/no-code development allows organizations to accelerate innovation and increase business agility and sustainability.

Given the recent elevated status of low-code no-code in development and low-code no-code tools, it is important to consider whether the market has responded by adopting these techniques.

According to SlashData the use of LCNC has increased from 46% to 57% over a period of eighteen (18) months, with the usage of LCNC tools estimated at:

70% Data Science

66% Machine Learning

75% Embedded Software

69% Apps and Extensions for 3rd party ecosystems

58% Mobile Apps

Many businesses have employed LCNC to step up their competitive positioning and create and innovate quickly. Examples Of Low Code And No Code Business Innovation Include Amazon, Google, Apple, Akkio, DataRobot, and Microsoft.

When we consider the use of LCNC in business intelligence (BI) tools and predictive analytics, the reason for the uptick in usage among developers and IT professionals is quite clear.

As businesses embrace data democratization and recognize the need for data literacy among team members, and as enterprises launch Citizen Data Scientist initiatives, they face numerous obstacles and challenges, including the selection of an intuitive, self-serve BI and augmented analytics solution. Finding and choosing the right solution will drive willing user adoption, improved Return on Investment (ROI) and low Total Cost of Ownership (TCO).

But the selection of the right BI and analytics solution must also include considerations for sustainability, keeping pace with team, customer and market trends and changing behaviors, and ensuring that the technology investment will serve the organization in the long term.

Including the LCNC approach in BI and analytics tools can and will support the enterprise as it moves forward, and can provide advantages and support for the future.

For a more detailed discussion of Low-Code/No-Code in Analytics, explore our complementary article, ‘The Use And Benefits Of Low-Code No-Code Development In Business Intelligence (BI) And Predictive Analytics Solutions.’

Including the LCNC approach in BI and analytics tools can and will support the enterprise as it moves forward, and can provide advantages and support for the future.’

Contact Us to find out how no code data analytics and the low code approach for business analytics can support your needs. Our Business Intelligence And Augmented Analytics solution can help your business achieve objectives. Read this free article to discover the potential of no code business intelligence software and LCNC And AI In Predictive Analytics, explore our seamless Analytics Solution Technology.
Download A Free Trial Of Smarten Analytics Software.

For a detailed discussion of Low-Code/No-Code in Analytics, explore our complementary article, ‘The Use And Benefits Of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions,’ ‘How Does LCNC Enhance BI and Predictive Analytics,’ ‘Choose the Right LCNC BI Tools and Predictive Analytics,’ and ‘LCNC Benefits Teams, Business Users and Citizen Data Scientists.’

Original Post: Low-Code and No-Code Development in Analytics!

Combine Mobile Analytics and Tally Solutions for Results!

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October 22, 2024

Integrate Tally with Mobile Analytics

Many small and start-up businesses have been using Tally Prime, Tally ERP and other Tally products for a long time. Their business users are familiar with the software and use it daily to manage all manner of financial issues, track, monitor, update and share information.

Today, business users are more mobile than ever before. Some work from home, some are on the road meeting with clients, customers and suppliers, and may be preparing for meetings or completing tasks in a hotel, airport or home office. In an environment where businesses are looking for a competitive edge, and trying to make the most out of precious resources, the use of mobile tools is more important than ever.

Every enterprise needs data and analytics to help team members make confident, fact-based decisions, but it can be difficult to get users to adopt these tools, especially if they see it as just one more thing they have to do, one more thing they have to learn! By integrating analytics with Tally solutions, and providing this integrated functionality in a mobile environment, the enterprise can encourage user adoption, and illustrate the value of analytics to its user base.

‘If you wish to integrate analytics with your Tally solution, choose a reputable, proven solution with a full suite of capabilities..’

Science Direct studied financial analytics and the use of tools to monitor, manage and find information. ‘Machine learning models do not make such assumptions. They are therefore more flexible and iterative. They are also able to model non-linear data.’

Discover the Power of Integrated Mobile Analytics and Tally Solutions

When you integrate mobile machine learning augmented analytics with Tally solutions, you can refine your understanding of issues and opportunities and make better decisions. There are numerous benefits to integrating analytics with the Tally environment, including:

  • Access to the familiar Tally environment using a native iOS or Android mobile app
  • Tally mobile analytics extends the office environment so users can perform crucial tasks from anywhere
  • Users have near real-time access to recent transactions and data
  • Mobile access provides an intuitive interface and navigation for clear analysis and results
  • Users can manage information for multiple entities and companies
  • Cloud server fetches and displays data, graphs and reports
  • All interaction and transactions are secured

If you wish to integrate self-serve analytics with your Tally solution, choose a reputable, proven solution with a full suite of capabilities. SmartenApps for Tally Mobile application is based on the Smarten Augmented Analytics suite of advanced analytics and is accredited by Gartner and recognized for its intuitive, easy-to-use analytics, Smarten offers stunning visualization, dynamic charts and graphs, modern business intelligence features, and key performance indicators (KPIs) metrics.

‘In an environment where businesses are looking for a competitive edge, and trying to make the most out of precious resources, the use of mobile analytical tools is more important than ever.’

Find out how mobile SmartenApps For Tally can your small business team and extend access to your Tally solution with analytics that offer accounting, finance, sales, inventory, and purchasing professionals and team members the tools they need to improve performance.

Integrate Tally with Mobile Analytics

Original Post : Combine Mobile Analytics and Tally Solutions for Results!

Choose Augmented Analytics Designed for Business Users!

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September 11, 2024

Avoid Complex Analytics Solutions (Your Users Will Hate)

When a business is considering a business intelligence or analytics solution, it is important to recognize that today’s solutions are very different than the solutions of the past. Not only do they include more analytical techniques and features, but they have come a long way in providing access to sophisticated analytics for the average enterprise team member.

Harvard Business Review Analytics Service reports that

a) businesses can substantially improve business performance by giving frontline workers modern self-service analytics tools to enable fast intelligent action and,

b) not all self-service analytics provide this effective approach.

Choose Augmented Analytics Designed for Business Users and Get the Most From Your Solution

The Harvard Business Review Analytics Service surveyed nearly 500 executives and found that they reported significant performance improvement when they empowered frontline workers with augmented analytics. More than one-third of those surveyed noted improvement in customer and employee engagement and in product and service quality.

While some businesses may still be using business intelligence and analytics that are designed for data scientists and IT professionals, most of those are actively working to upgrade and/or migrate to augmented analytics and solutions that are designed for self-serve business user access.

Here’s why:

  • Search-based, self-serve analytics provides swift access to data and familiar natural language processing (NLP) search capability so business users can ask a question, get an answer and drill down to discover the root cause of issues. There is no need for the user to wait for IT or a data scientist to produce a report. They can continue to work on a task or a problem with full insight into results, challenges and possibilities.
  • The enterprise can enable data democratization and data literacy across the business landscape, thereby ensuring that there is a rapid response to market and competitive changes and to changing customer buying behavior.
  • Business users can leverage their industry knowledge and functional skillset and combine data insight with experience to produce the best results.
  • Intuitive, easy-to-use solutions help to combat user resistance and ensure user adoption. While there are always cultural issues surrounding this type of adoption and the perceived changes in responsibilities, when business users see the value of having crucial information at their fingertips, the enterprise can ease the transition and ensure user adoption.
  • No matter the role of the user, the team can enjoy the benefits of augmented analytics and make the transition to Citizen Data Scientists to improve collaboration, data sharing and fact-based decision-making.
  • The business can understand quality and maintenance issues, refine customer targeting and marketing optimization, and make appropriate financial investments, and they can analyze trends and patterns and make forecasts and predictions.
  • When the enterprise adopts these tools and techniques, they allow Citizen Data Scientists to perform analytics on a day-to-day basis and, where appropriate to effectively interact with and collaborate with the IT team and data scientists to refine data and prepare it for more strategic initiatives, so there is a seamless handoff from the business user to the analytical community, when and as necessary.

When the business is ready to acquire augmented analytics or to upgrade from existing, more restrictive solutions designed for professional analytical resources, it is important to choose the right solution – one with sophisticated tools that are presented in an intuitive user interface with auto-suggestions and recommendations to assist business users, and ample personalization of dashboards and reports.

With the right IT consulting partner, you can select and implement an Augmented Analytics Solution with business intelligence (BI) and advanced capabilities, and ensure that every user can leverage these tools, no matter their skillset or technical capabilities. Explore our free white paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI Tools.’

Original Post: Choose Augmented Analytics Designed for Business Users!

What Are the Benefits of a Citizen Data Scientist Initiative?

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August 29, 2024

Understand the Benefits of Citizen Data Scientists

Businesses are discovering the importance and the value of using Citizen Data Scientists within the organization to collaborate and share data and to learn from each other and from the patterns, trends and insights data can provide and use that insight to solve problems and to identify opportunities.

The Importance of Citizen Data Scientists has become a focus for the wise business executive and manager. Understanding Citizen Data Scientists and how they can supplement analytics and help the organization to be more successful, can be a real competitive advantage for a business, whether that business is in a local market, a global industry, a vertical niche or a broad corporate footprint.

‘There is ample research to illustrate the value of an educated team, and the more information your team has to make the right decision, the less rework and missteps the organization will experience.’

In this article, we focus on the Benefits Of Citizen Data Scientists, assuming a well-conceived program. These benefits assume the identification and selection of an appropriate augmented analytics solution to support business users and the business organization.

Benefits to the Enterprise

  • Turning business users into Citizen Data Scientists can have many benefits for the business organization.
  • Allows the organization to improve data democratization and leverage all-important data to make objective decisions
  • Creates a metrics-based decision-making process that is measurable and can be easily adapted and managed
  • Improves the value of team member contribution
  • Optimizes professionals skills of data scientists and IT professionals and allows them to focus on strategic and operational tasks and goals
  • Improves Competitive Advantage by optimizing resources, skills, knowledge and data
  • Allows the organization to be agile and to adapt quickly to the market and to changing customer behavior
  • Identifies challenges and issues before they become a real problem
  • Identifies opportunities for growth and customer engagement

Benefits to Data Scientists

  • Allows Data Scientists to focus on strategic initiatives, rather than constantly responding to business user requests
  • Allows Data Scientists to collaborate and engage with business users in a meaningful way to build teams and expand knowledge and understanding of the business
  • Creates the foundation for additional tools and techniques that can be leveraged by Data Scientists with advanced skills

Benefits to IT Professionals

  • Enables IT professionals to focus on day-to-day and strategic objectives and tasks without having to respond to business user requests for reports and information from data repositories
  • Provides additional data governance and the ability to monitor and track ‘popular’ data and reports and to create environs that offer users and data scientists the right support
  • Allows IT professionals to collaborate with business users and data scientists to better support the organization and to identify opportunities for their own growth and potential

Benefits to Business Users

  • Builds an understanding of data in a way that is meaningful to a business user role and responsibilities
  • Supports fact-based decision-making and alleviates issues resulting from decisions made by guesswork and opinion
  • Allows users to easily integrate and gather data for analytics and to leverage sophisticated tools in an intuitive environment
  • Improves business user data literacy and data democratization providing information that is crucial to team members and to the successful completion of tasks and workflow
  • Supports day-to-day analytics and allows business users to make clear, concise recommendations and suggestions to improve outcomes
  • Allows business users to collaborate with data scientists and It professionals for refinement of analytics to take data insight to the next level for strategic decisions
  • Enables career advancement and expands knowledge, team visibility and success
  • Ensures that all team members within the enterprise have the right information to do their jobs and to support organizational goals and objectives

The Risks Of Empowering Citizen Data Scientists are often discussed in industry publications, so it is important to mention this side of the argument. Citizen Data Scientist pros and cons typically fall into these general categories:

  • Business Users should not be given access to data because of security or data governance concerns
    Note: The right augmented analytics tools and solutions will provide multi-layered security and allow IT to create appropriate access to data and ensure the security and privacy of the data the executive management team wishes to isolate or guard.
  • Analytics is not appropriate for business users because they can’t understand the data or reports and may use the data in appropriately
    Note: While every business users may not need to use data analytics every day, many will. Roles and responsibilities will dictate this need and, with the right solution, even users with average technology skills can gather and create analytics that are easy to understand and will guide the team to clear, concise results and decisions.
  • The use of analytics in the general business community is not necessary and does not provide value
    Note: There is ample research to illustrate the value of an educated team, and the more information your team has to make the right decision, the less rework and missteps the organization will experience. Think of your team as an army. Everyone has to know what direction they are headed, and have the information they need to get the job done, or your success will be at risk. Provide the support your team needs to learn the new approach and trust them to apply their market, industry and functional knowledge to analytics to achieve the best outcome and the clearest decisions.
  • The cost of providing analytics to business users is too high and is not supported by the value it provides
    Note: The right augmented analytics solution does not have to be expensive, or difficult to implement or learn. Assess your current situation and your needs and choose a solution that will support your team and your budget and schedule. It IS possible and it will provide numerous benefits and add value far beyond the cost of the solution.
Minimum Viable Products (MVP) Produces Better Business Start-Up Results

Turning Business Users Into Citizen Data Scientists is a process that should not be taken lightly – but that doesn’t mean it is impossible or even daunting. It simply means you must prepare and, like any other shift within your organization, you must adapt your culture, your technology, your business processes and your workflow.

‘Understanding Citizen Data Scientists and how they can supplement analytics and help the organization to be more successful, can be a real competitive advantage for a business, whether that business is in a local market, a global industry, a vertical niche or a broad corporate footprint.’

For a detailed discussion of Citizen Data Scientists and related topics, read our article: ‘What Is A Citizen Data Scientist, What Is Their Role, What Are The Benefits Of Citizen Data Scientists…And More!’

Contact Us to find out how augmented analytics Technology can support your enterprise, and ensure analytical clarity and results. Discover the next level of Self-Serve Analytics and explore online Citizen Data Scientist Training and the features and modules of a seamless, sophisticated, easy-to-use augmented analytics solution to see how your business can use analytics to achieve its goals. Explore our complementary articles on Citizen Data Scientists: ‘What Is A Citizen Data Scientist And How Has Their Role Changed?’ ‘Planning And Preparing For A Citizen Data Scientist Initiative,’ ‘Engage A Skilled IT Partner And Achieve Citizen Data Scientist Success,’ and ‘What Is A Citizen Data Scientist, What Is Their Role, What Are The Benefits Of Citizen Data Scientists…And More!’

Original Post: What Are the Benefits of a Citizen Data Scientist Initiative?

Should My Business Invest in Generative AI?

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June 26, 2024

Can Generative AI (GenAI) Help My Business?

Whether you are in the business of technology, or an average citizen, there is no doubt you know about Artificial Intelligence (AI) and you have probably heard or read about the advances made in Generative AI (GenAI).

According to Gartner business surveys, GenAI has become one of the most adopted and deployed technologies, and it is either in use in many industries and businesses, or it is in the works.

As a senior manager in a software business, or a corporate CIO, a software engineer or a consumer, you are probably thinking about how you can use GenAI to make your product better, or your life simpler. If you ARE in the business of technology, you may already have started a GenAI project.

But, it may be wise to exercise some caution. You know the old adage, ‘just because you can, doesn’t mean you should?’ That certainly applies to GenAI.

Yes, this technology has advanced enough to offer some value in some instances, but it should not be widely adopted without understanding its current limitations. Don’t let the promise of GenAI blind you to the fact that it is not yet a mature technology and that it is not suitable for all applications.

Can Generative AI (GenAI) Help My Business?

Before you start your project, you should consider the following factors:

  • GenAI alone is not the magic potion many think it is. In fact, the best use of GenAI is as a component of a holistic landscape of technologies, which may or may not include other types of artificial intelligence (AI) techniques.
  • Business use cases are a wise addition to your strategic discussion. How and where will your business use GenAI and does the addition of this technology add value or provide competitive, productivity or collaborative improvements? Implementing GenAI just because it is cutting edge, does not add value to your organization.
  • The cost of implementing these new technologies must be considered. That consideration should include the estimated useful life of the investment and its return to the organization.
  • For some tasks like content summarization for presentations or reports, or routine content creation, standard product descriptions, etc., GenAI may be a welcome addition, and will provide productivity improvement for your team.
  • When considering the use of GenAI, it is important to understand how and when your team will use the capabilities and set reasonable expectations for its use. If and when you decide to implement GenAI, it is equally important to train and inform your team and help them understand what they can achieve with this technology. You must also ensure that the team understands what GenAI will NOT do for them. There is a lot of hype out there, and team members may think that GenAI is going to either a) replace their position, or b) give them back 50% of their time for other tasks. It is likely that neither of those scenarios will be true, so be sure your team understands the transition, what they can expect, and what you will expect of them.
  • Involving experienced team members in the AI process is imperative. You can’t ‘set and forget’ your tasks without risking incorrect output or issues that will affect customer satisfaction or put your business at risk. Consider how and when you will monitor and manage output and what human intervention is required for the use you have imagined in your use cases.
  • While we are on the subject of expectations, let’s remember that, while the future of GenAI is promising, the current state technology is not a boiler plate. It is not a one-size-fits-all solution that can be hurriedly put into place, nor will it solve all your problems.

There has been much marketing hype about GenAI, but at the end of the day, if your business is going to invest time and money in this technology, it must establish a reasonable strategic initiative with measurable metrics and risk assessment and management reviews.

Before your business tackles a GenAI investment project, and all the technology, cultural and management changes that it requires, ask yourself a) what problems does my business have and what are our most important priorities, b) Can GenAI realistically help our business solve or reduce these problems and c) how can I measure and manage this new approach to prove my theories?

As we have outlined in this article, it is important to recognize the limitations of the current Generative AI (GenAI) solutions, and develop a thorough and complete understanding of your prospective business use before making a decision to invest in and implement this type of solution in your organization. Contact Us to find out how we can help you plan and achieve your goals. Artificial Intelligence (AI) in Analytics, Artificial Intelligence Development, White Paper: What is AI and How Can It Help My Business? Explore our articles on AI: Generative AI, the Benefits and Applications, Ideas to Get You Started with Generative AI, Understand AI, OpenAI and Chat GPT.

Original Post : Generative AI (GenAI) Is NOT a One-Size-Fits-All Solution!

Mr Uday Malya, BLR Logistics

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August 9, 2021

We are a leading logistics service provider in India, offering customized solutions to all industrial sectors.  Since past few years, we are using technology increasingly to offer better customer service and achieve greater operational efficiency.  We also wanted to have the benefits of interactive reports and dashboards and implement KPI for performance management across the organization. After evaluating various products, we selected Smarten and  are glad at our choice.

Smarten’s approach to understanding the requirements has been significant throughout. With the help of their team, the data managed through our RLogic ERP has been pulled to the BI and rolled out three important modules – booking, vehicle costing, and customer exposure. The Smarten support was always responsive to our queries and are skilled in providing functional solutions.

We look forward to adding more modules to the Smarten platform and make it a single point platform for meeting all our management information needs.

We highly recommend this product!