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Mobile BI Tools Solve Many Enterprise Issues!

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February 11, 2025

Incorporate Data Into User Roles with Mobile BI

If you are a business executive or an IT professional, you have probably seen a number of articles about the importance of Business Intelligence in industry publications and trade journals. If you are still unconvinced or uncertain about the critical importance of business intelligence (BI) and analytics for businesses like yours, here are some sobering, surprising and impressive statistics to ponder.

  • The global business intelligence adoption rate is 26%.
  • Organizations use 4 or more different business intelligence tools on average.
  • Organizations leave 97% of gathered data unused.
  • 74% of employees feel unhappy or overwhelmed when working with data.
  • Businesses using business intelligence are 5 times more likely to reach faster decisions than those that do not.
  • Bad data costs the US economy $3.1 trillion each year.

When you review these statistics, you will notice that some of the issues described can be resolved by the careful selection of the right software and solutions to satisfy your business, your team needs and your data infrastructure.

Why Mobile BI? Because it Solves Common Business Analytics Complaints!

If you are planning to acquire or upgrade a business intelligence or analytics app or solution to provide self-serve augmented analytics for your business users and improve productivity, access and data sharing, you will want to include the review of mobile business intelligence solutions in your requirements.

‘Mobile business intelligence (BI) solutions improve user adoption, ensure access to data from anywhere and encourage the use of data-driven information across the enterprise.’

The right mobile BI tools can address the issues and statistics listed above in the following ways:

  • The global business intelligence adoption rate is 26% – Mobile BI tools will increase the user adoption rate by providing intuitive data analytics that users can access from anywhere at any time, making these tools an important part of each team member’s tool box.
  • Organizations use 4 or more different business intelligence tools on average – The right mobile BI solution can integrate data from disparate data sources, and allow users to visualize in a way that is meaningful to each team member. It can optimize technology infrastructure and mitigate the issue of data silos and complex data mining and data gathering.
  • Organizations leave 97% of gathered data unused – Data is often misunderstood, misused or unused simply because team members and the enterprise do not know how to leverage, gather and analyze the data, or because the IT and/or data science team is short on resources and does not have the time to produce reports. Mobile BI tools are designed to be used by business professionals on a daily basis and to encourage data literacy and data democratization across the enterprise.
  • 74% of employees feel unhappy or overwhelmed when working with data – Understand and address your business user concerns and make data more accessible, easier to understand and use, concise and clear, so that every user can optimize data, make confident decisions and share and collaborate without data science skills or sophisticated data analytical experience.
  • Businesses using business intelligence are 5 times more likely to reach faster decisions than those that do not – Improve productivity, time to market and return on investment (ROI) and total cost of ownership (TCO) to gain a competitive advantage with mobile tools and easy-to-use techniques that will enable fact-based decisions.
  • Bad data costs the US economy $3.1 trillion each year – Banish bad data by integrating your data sources and analyzing and presenting data in a mobile environment to gain insight into trends, opportunities, issues and problems and reveal clear, concise soluti

‘If you are planning to acquire or upgrade a business intelligence or analytics app or solution to provide self-serve augmented analytics for your business users and improve productivity, access and data sharing, you will want to include the review of mobile business intelligence solutions in your requirements.’

Mobile business intelligence (BI) solutions improve user adoption, ensure access to data from anywhere and encourage the use of data-driven information across the enterprise.

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.’

Original Post : Mobile BI Tools Solve Many Enterprise Issues!

DeepSeek Unseats U.S. AI, and Reveals India Potential

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February 6, 2025

DeepSeek Reveals the Potential for India’s AI Market

The shock waves from the DeepSeek announcement in the artificial intelligence (AI) space are still being felt. As AI technology businesses, software developers and consumers digest the new reality, there is no doubt the market will shift, adapt and change in a drastic way.

At the heart of this change is the Chinese company, DeepSeek, a new venture that has achieved a significant breakthrough in inference speed, leapfrogging over previous, world-renowned AI models like OpenAI, and causing a massive derailment of chip-maker Nvidia’s stock by proving that lower-end chips can be used to achieve high-performance results in the AI space. This open-source market entry has radically changed the U.S. and global market and, in so doing, it has also changed the mindset of AI developers and investors in other countries, including India.

Prior to the DeepSeek announcement, the prevailing AI strategy was a scenario in which a business required a huge capital investment to build Large Language Models (LLMs) for training and to fund massive processing capabilities and a huge talent pool for development. That meant government support, and an industry and environment to achieve these multi-billion dollar investments and goals.

DeepSeek built an AI product for less than ten million USD, with only 200 engineers.

That reality has shifted the India AI landscape by proving that the India software industry can move beyond an AI app focus to create base models and fully functional concepts. In fact, India has done it before! In defiance of all common expectations, India’s ISRO space program reached the moon at a fractional cost of the U.S. NASA program.

So, why not now? India (and other countries) have often watched from a distance as their own technology talent developed the best and brightest applications in the U.S. Today, the India government has the opportunity expand the capabilities of AI within the country, going beyond chatbots and AI contextual applications to leverage the technology talent within its borders and Create Solutions For Government, Agriculture And Other Industries.

The media and industry publications like to use the word ‘gamechanger,’ but in this case, the revelation of DeepSeek is a gamechanger in the true sense of the word, especially for India. The government is now supporting the new concept of AI evolution and development with the acquisition of 10k GPUs to support development and building the infrastructure to roll out AI models in India within 4-6 months. Yes, it’s possible!

Is the DeepSeek Moment an Opportunity for India and Global AI Potential?

Union IT Minister Ashwini Vaishnaw recently announced that, ‘the planned compute facility (cloud-based servers that are geared to run and handle AI inference), Vaishnaw stated that it has exceeded initial expectations with the country securing more than 18,600 GPUs. Among these are 12,896 Nvidia H100 GPUs, 1,480 Nvidia H200 GPUs, and 742 AMD MI325 and MI325X GPUs. Originally, the target was to procure 10,000 high-end AI chipsets. “DeepSeek AI was trained on 2,000 GPUs, ChatGPT was trained on 25,000 GPUs, and we now have 18,000 high-end GPUs available,” the IT Minister said.

As the technology market evolves, we can expect to see more changes, and those changes will come faster and more frequently. DeepSeek is just one example of the need for India to establish a nimble, adaptable approach that will respond quickly to new developments and identify the opportunities for growth and application of these developments in the global and local market.

The game is changing, and India no longer needs to defer to the U.S. or other countries in the AI market or in the use of its own development talent and investment infrastructure. It can build an ecosystem that will stand on its own without deference to other market leaders.

As IT Minister Vaishnaw said, ‘India will offer the cheapest compute in the world at less than $1 per hour for high-end chips that power generative artificial intelligence (GenAI) as the government’s ₹10,000 crore IndiaAI Mission comes into play….’

There is much to research, investigate and understand about the most recent DeepSeek development. But it does prove one thing. We do not need complacency or acceptance in technology. We need innovation, and India is up to the challenge!

Select an AI, partner for Artificial Intelligence Application Development, or a partner for  predictive analytics and technology partner and a solution Augmented Analytics Solution With Artificial Intelligence (AI) components to ensure affordable, flexible solutions that every user can leverage, no matter their skillset or technical capabilities. Read our White Papers, ‘Generative AI (GenAI): The Benefits And Applications Of AI In Analytics,’ and ‘The Practical Use Of GenAI In Business Intelligence And Analytics Tools’ and explore the benefits of AI in analytics and the full spectrum of benefits and advantages of current artificial intelligence (AI) technologies.

Original Post : DeepSeek Unseats U.S. AI, and Reveals India Potential!

Smarten Support Portal Updates – January – 2025!

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February 3, 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. Schedulers : Delivery and Publishing : Working with E-mail Delivery and Publishing Task
  2. Data Sources : Improving performance for fetching data from the database
  3. Datasets & Cubes : Handling multiple JOINs through Step by Step Procedure to create a dataset

Predictive Use cases

  1. Assisted predictive modelling : Classification : Customer Churn model using Smarten Assisted Predictive Modelling
  2. Assisted predictive modelling : Regression : Handling Outliers Using Smarten Assisted Predictive Modelling

Business Use Cases

  1. How to derive the recently purchased city of each customer from daily customer transactions from various cities
  2. Derive Week of year considering the week starts from Saturday

Manuals and Technical Guides

  1. Smarten-Concept-Manual-BI
  2. Smarten-Working with Reports
  3. Smarten-Load-Balancing-Clustering-Architecture

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 – 2025!

ISV and OEM: Embedded BI for your Enterprise App customers!

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January 28, 2025

Improve the Value of OEM and ISV Offerings with Embedded BI

If you read industry publications and stay up to date on business technology, you are no doubt aware of embedded business intelligence (BI), but you may be wondering how this approach can help your ISV products business thrive.

A Mordor Intelligence study found that, ‘… the growing requirement for embedded analytics software will boost productivity, save operating expenses, and save time when reviewing data.’

According to a study on Embedded Analytics:

68% of commercial application teams say they charge more for the analytics in their applications.
85% of commercial applications are currently embedding analytics capabilities and
91% of application teams say embedded analytics helps them increase end-user adoption.

An Embedded BI Solution Adds Value to Your B2B SaaS or Enterprise Apps Customers

So, you may be asking yourself, is it worth investing in the integration of an analytics solution to expand your software product offerings and provide a market edge? Is there value for your users? The answer to these questions is a resounding ‘yes.’

In this article, we look at the value of embedded BI for ISV and OEM environments and how the technology (and the delivery model you choose) can support your business and add value to your product and service offerings.

‘Embedded BI allows your enterprise apps business to keep pace with changing end user enterprise needs and support business agility by offering new features and functionality for your business clients and users.’

Embedded analytics makes analytics easier for the business user by bringing it closer to the user within a familiar or popular application or database environment and incorporating dashboards, graphs, charts, visualization to clarify results and make it easier for users to make decisions. By adding this capability to your software solution, app or product, you can provide more value without adding more resources to your team, without acquiring analytical skills within your IT environment, and without spending the time and money to develop a sophisticated analytical product.

As an OEM or ISV business, you can reap the value of Embedded BI and analytics to your users and clients.

  • Embed advanced analytics without significant investment
  • Get started in less than a month
  • Avoid the cost of adding analytics experts to your team
  • Generate additional revenue stream for your business
  • Add value to your solution and create competitive advantage in your markets
  • Provide clear business benefits of advanced analytics to your users

If you want a fast start-up, and a low-profile, light technology implementation, your ISV or OEM business can offer clients advanced analytics with a suite of natural language processing (NLP) search capabilities and Smart Data Visualization, Self-Serve Data Preparation, Assisted Predictive Modeling, Anomaly Alerts and other tools to provide a foundation for a self-serve, Citizen Data Scientist environment that requires no SQL or data science expertise. This accessible solution provides integrated reporting, dashboards and predictive modeling insights. Embedded BI can add a valuable component to existing software offerings and allow customer businesses to enjoy sophisticated features and functionality without costly physical implementation or time-consuming deployment.

‘So, you may be asking yourself, is it worth investing in the integration of an analytics solution to expand your software product offerings and provide a market edge? Is there value for your users? The answer to these questions is a resounding ‘yes.’’

By integrating business intelligence (BI) and augmented analytics within your Software-as-a-Service (SaaS) or Enterprise App, you can provide a seamless user experience to clients. By choosing the right Embedded BI solution, you provide valuable analytical tools to your clients so they can enjoy access to data sources and data warehouses with single tenant or multi-tenant modes, and flexible deployment via a public or private cloud (no environment dependency) or on-premise installations. Single sign-on (SSO) access provides security protocols and links with existing portals and applications. Users have access to embedded BI objects within the applications using integration APIs. SDKs support business frameworks and technology so you can use existing .NET, ASP.NET, PHP, MVC, .NET Core, Vue, Angular, React, Java and other frameworks and technologies in web applications or mobile apps and integrate advanced analytics components directly from within your app.

To find out more about Embedded BI Technology and delivery options for your B2B enterprise, 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: ISV and OEM: Embedded BI for your Enterprise App customers!!

Minimum Viable Products Lead to Start-Up Success!

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January 22, 2025

MVP Design and Development for Start Up Businesses!

When you are the owner/executive of a start-up, you guard the time of your team carefully. You only have so many hands to get the job done and every effort, every initiative must pay off. And when it comes to investments, your logic and your plan must be solid. You can’t afford a misstep. The products and services you plan to introduce into the market must be spot-on, and the cost to design and deliver those products and services must be carefully controlled.

(more…) "Minimum Viable Products Lead to Start-Up Success!"

Why Should I Integrate Analytics within Tally Solutions?

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January 13, 2025

Integrate Analytics with Tally Solutions

Every business is unique, but there are many commonalities across businesses, industries and markets. One of the greatest common pain points for business is sustaining a business environment that is productive, one that optimizes human and technology resources while ensuring the agility to address ever-changing markets and business environ

‘Find out how your business team can extend access to your Tally ERP or Tally Prime solution with analytics that offer accounting, finance, sales, inventory, and purchasing professionals and team members the tools they need to improve performance.’

If your team uses Tally ERP or Tally Prime solutions, your business users are probably very familiar with the features and capabilities of this financial management software. Each team member will use a different module or features, depending upon their role and responsibilities. But every team member wants to complete tasks quickly and accurately, and NO team member wants to learn new software that operates in a silo and makes their job more frustrating and time consuming.

When you combine crucial analytics with your Tally solution, you provide your users with self-serve analytical tools that can enhance their workflow, make their job easier and add value to management, customers and suppliers by taking existing data and allowing for insight and analytics that will help users to make fact-based decisions and recommendations.

Does My Business Need to Integrate Analytics within Our Tally Solution?

According to a recent research, ‘70% of CFOs identify their team’s already-heavy workload as the biggest roadblock to creating value from data and technology,’ and ‘Key applications in Finance and related functions include intelligent process automation (used by 44% of finance teams), anomaly and error detection (adopted by 39%), and analytics to enhance financial forecasting (utilized by 28%).’

When the business integrates an analytical environment with its Tally solution, it can achieve numerous benefits:

  • Out-of-the-Box Managed Services (no need to manage servers or other IT infrastructure)
  • Cost-Effective Registration and User Access
  • Ready-to-Use Software-as-a-Service (SaaS) Features (no need for on-premise installation, development or training)
  • Near Real-time access to your Tally data through native mobile app
  • Trend Tracking and Analysis
  • Recent Transaction Review and Analysis
  • User-Friendly User Interface
  • Key Performance Indicators (KPIs)
  • Report sharing, and BI in PDF and XLS Formats via WhatsApp, Email and Other Options
  • All Ledgers and Voucher Details
  • All Products and Inventory Details
  • Seamless Search Options and Text Searches Throughout the App
  • Fast and easy full Company Data Extraction
  • Rapid App Loading
  • Near Real-Time Access to Your Tally Data on the Go
  • Easy-to-use, Convenient Native Mobile App User Interface for Android and iOS
  • Improved user adoption and Return on Investment (ROI), and Total Cost of Ownership (TCO)
  • Partnership opportunities for technology companies, allowing integration of analytics with Tally to support software products for consumers and business applications.

‘When you combine crucial analytics with your Tally solution, you provide your users with self-serve analytical tools that can enhance their workflow, make their job easier and add value to management, customers and suppliers by taking existing data and allowing for insight and analytics that will help users to make fact-based decisions and recommendations.’

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

Integrate Analytics with Tally Solutions

Original Post : Why Should I Integrate Analytics within Tally Solutions?

What is Agentic AI and Why Should I Consider it for Apps

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January 8, 2025

Use Agentic AI for Autonomous Workflow and Task Completion

Artificial Intelligence (AI) is advancing, evolving and changing at lightning speed. It is nearly impossible to keep up with the changes, and to understand what, if anything, each of the new products and developments can offer to a business.

Continue reading “What is Agentic AI and Why Should I Consider it for Apps”

Low-Code No-Code Benefits BI Tools and Analytics!

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January 6, 2025

What Are the Benefits of Low-Code No-Code in Analytics?

Research indicates that, ‘within the next several months, 65% of Application Development Will Be Done Using No-Code Platforms.’

Here, we discuss the benefits of LCNC-enabled analytics, no code business intelligence benefits and employing analytics and low code no code for teams, business users, Citizen Data Scientists and, ultimately, for the enterprise.

‘LCNC analytics enhances workflow and automates business processes across systems and data repositories to improve process uniformity, user and management communication, efficiency and productivity.’

What follows is a list of the primary benefits of Analytics With A Low Code No Code Component. There are many other advantages to this approach, but this list will give you an idea of how this simplified development process can have a positive impact on your organization and your staff.

Low-Code, No-Code (LCNC) Benefits Teams, Business Users and Citizen Data Scientists

User Benefits

Data Creation vs. Data Consumption – When a team member or business user is presented with self-serve analytics, the user will often see the new tool as less of an opportunity and more of a burden. By providing augmented analytics with LCNC-enabled features, the team can easily incorporate useful tools into day-to-day tasks. They can create, share and collaborate and the value of analytics will become clear to them, thereby enabling user adoption. Your team will advance beyond consuming data created by IT staff to conceiving, creating and sharing data and making the transition to Citizen Data Scientists, thereby reducing dependency on the IT team and freeing IT to focus on more strategic issues.

Fact-Based Decision-Making and Data literacy – LCNC-enabled analytics and BI tools creates an intuitive data exploration environment that is accessible and easy to navigate, so the team can create real-time insights, collaborate, present information to management teams and work in an agile environment, incorporating analytics within day-to-day workflow to make data-driven decisions.

Empowering Users – The low code, no-code analytics approach enables team members with tools that allow for data visualization, data preparation, predictive modeling, and the Use Of Analytics to create reports, dashboards and data visualization. Data is presented in a way that is meaningful to each user, no matter their business function or their technology experience. Users can quickly respond to customer needs, market changes, and management directives and goals without the assistance of IT team members, thereby freeing the team to adapt and address issues quickly, and optimizing the IT team and resources. The user is empowered to use data in a way that allows them to leverage domain, industry and business functional knowledge, making them more independent and encouraging them to become power users. Analytics with LCNC platforms allows users to leverage dashboards and reports and dashboards that incorporate data integrated from disparate systems, without complex data preparation and coding.

Personalization and Customization – Low-code, no-code supports an intuitive drag and drop environment with pre-built components, so the organization and its users can create custom views, visualizations and tools to support the needs of a team, a business function, or a particular user, so users are not limited to restrictive reports, dashboards, visualization and tools. Because every business and every user is different, the ability to personalize and customize workflow to support user needs is key to user adoption and to successful use of data, and meaningful interpretation of data.

Enterprise Advantages

User Adoption – When an enterprise invests in business intelligence and analytics, it must ensure user adoption in order to make the most of its investment and its analytics strategy. By employing LCNC-enabled analytics, the organization ensures that users will WANT to use the selected solution to complete tasks and follow business processes and workflow to complete approval processes, present data, and increase the value of each team member’s knowledge and skill for the organization.

Enable Citizen Data Scientists – Create an environment where business users can thrive and become Citizen Data Scientists with solutions that are easy-to-use, intuitive and can quickly produce results and data insight that will enhance the team value to the organization.

Improved Return on Investment and Total Cost of Ownership – The deployment of analytics and BI tools with LCNC components improves Return on Investment (ROI) and Total Cost of Ownership (TCO) by increasing user adoption, improving productivity and decreasing the time it takes to make a decision, and by leveraging the skills and knowledge of your team, as well as optimizing the time of your IT team and data scientists by redirecting their attention to more strategic issues.

Responsive to Changing Workflow and Technology Environs – LCNC analytics enhances workflow and automates business processes across systems and data repositories to improve process uniformity, user and management communication, efficiency and productivity. It improves team collaboration, so the business can make the most of its technology and human resources. LCNC is flexible and agile and can help the enterprise to respond to changes in technology and changes within the business environment.

Scalability and Governance – Governance, security and scalability are all important aspects of technology management. To protect its interests, mitigate risk and establish best practices, the enterprise can use the capabilities and backend components of its analytics solution to build appropriate frameworks, create policies and best practices, and build an integration strategy to support LCNC analytics within existing systems.

Cost vs. Productivity – When the enterprise chooses LCNC analytics and BI tools it can leverage low-code/no-code platforms to reduce reliance on programmers and developers and allocate those resources to more strategic projects. By encouraging collaboration among users and with IT and Data Scientists the business can leverage business, technical and other specialized knowledge and encourage innovation, data democracy and data literacy to drive enterprise efficiency and growth.

Data Integration and Embedded BI – LCNC analytics allows for ease of data integration among data resources, with APIs and pre-built connectors so the enterprise can easily integrate data from ERP, CRM, HRM, finance, SCM and other systems with no complex coding required. LCNC components allow for ease of data integration visual tools to map and transform data from disparate sources and systems so the organization has a comprehensive view of data and can gain valuable data insight. Embedded BI and analytics components can further enhance user adoption and enterprise ROI and TCO by integrating analytics within familiar and popular business applications.

Preparing for the Future – The Future Of No-Code And Low-Code within BI tools and analytics solutions is promising. Current and future development in Artificial Intelligence (AI), and Machine Learning (ML) will enable further expansion of LCNC capabilities. As these tools become more intuitive and adaptive, the enterprise will see more advantages. Users and businesses will enjoy a more personalized experience, more seamless contextual awareness and more responsive user interfaces for data preparation, predictive analytics, data visualization, and clear, concise dashboards and reports. The business will enjoy more personalized guidance, more refined data insight and more targeted data analytics to support the future of the enterprise.

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.’

‘There are numerous benefits of LCNC-enabled analytics and employing analytics and low code no code for teams, business users, Citizen Data Scientists and, ultimately, for the enterprise.’

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?’, ‘How Does LCNC Enhance BI And Predictive Analytics,’ and ‘Choose The Right LCNC BI Tools And Predictive Analytics.’

Original Post: Low-Code No-Code Benefits BI Tools and Analytics!

How to Choose the Right Low-Code/No-Code BI Tools and Analytics!

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January 6, 2025

Be Sure You Choose the Right Low Code No Code BI and Analytics!

By some reports, the no-code and low-code development platform market is expected to grow from $10.3 billion in 2019 to $187 billion by 2030, reflecting a compound annual growth rate (CAGR) of over 31%.

No code Predictive Analytics, low code data analytics and No Code Business Intelligence Solutions provide numerous advantages and benefits to the enterprise and its users. To leverage predictive analytics and low code no code, the organization must choose the right vendor and the right solution.

Choose the Right Low-Code, No-Code BI Tools and Predictive Analytics Solution

As with any other software solution or business application, there are many factors and considerations that influence solution selection. Here we highlight some of the primary areas of focus your business will want to include in its vendor and solution review.

‘If you are ready to choose a business intelligence (BI) solution, with self-serve augmented analytics, LCNC and AI-enabled tools, we encourage you to find out more about the benefits of this approach, and the capabilities of our advanced analytics solution.’

Is the Solution Truly LCNC?

In this article, we have defined low-code and no-code development and how it fits within the business intelligence (BI) and augmented analytics environment. But it is important to remember that the low-code/no-code market of platforms and how this technology is integrated within analytics solutions will vary greatly. While some business intelligence (BI) and augmented analytics solutions do incorporate LCNC concepts, features and tools, not every solution or application can truly be called low code/no code. In short, some solutions have a minimal LCNC component and will require the skills of a programmer or developer to leverage their features and functionality. If you plan to roll out LCNC-enabled analytics to provide your business users and Citizen Data Scientists with tools, be sure that the analytics and BI tools you choose are truly LCNC-enabled with features that will allow your team to work on their own and use the solution on a daily basis to create, collaborate and make decisions. Avoid complex and highly-customized projects that will take time and money to complete and will require costly updates and upgrades when you wish to make a change.

Choose a Solution That Meets the Skills and Needs of Users and the Enterprise

By incorporating LCNC within analytics and BI tools, you can enjoy many benefits, but it is important to understand that low-code platforms are not suitable for all types of applications for analytics and BI or for business use cases. Depending on how you plan to use analytics within the organization, and on the use cases you develop to test solution capability, you may find that some solutions will not meet the needs. Low-Code components are not suitable for extremely complex or highly-customized analytics or BI projects and, depending on the solution and vendor, the solution may not be able to handle certain volumes or types of data or workflow i.e., big data or large-scale analytics. Standard low-code platforms are not always secure, because the generated code may lack the robust security controls and features normally seen in code written by a professional programmer or developer. Be sure that the solution you choose meets your needs for security, privacy and standards. Be sure that the solution you select leverages LCNC in a way that is appropriate for analytics and BI tools and applications.

Vendor Understanding of LCNC

As with all software programs, tools, techniques, platforms and frameworks, the capabilities of and features and functionality of a particular technology cannot be fully leveraged if the development team does not understand the full potential, restrictions and opportunities inherent in the technology. When you choose an LCNC-enabled analytics solution be sure you understand the skills, experience and capabilities of the development team responsible for designing, creating and maintaining the analytics solution. We often refer to LCNC as a drag and drop technology, but that does not mean that its incorporation and integration into a complex analytics solution should be taken lightly. There is much to be done to ensure that the technology is used appropriately and that the vendor has planned for the future with flexible, scalable solutions that will serve you well.

Solution Integrity

Is the business intelligence, augmented analytics solution built on a solid foundation of sophisticated analytics tools and techniques? LCNC should be used to enhance a solid product, not to mimic a robust solution. Be sure that the product and vendor have references and a history of providing analytics and business intelligence and that the solution you are selecting is not just a good looking front-end that has very little capability. Does the solution provide rich functionality and features with self-serve tools to leverage sophisticated algorithms and analytical techniques or is it a simple data gathering and reporting tool?

Roadmap for the Future

When a vendor incorporates new technology within its existing products, it must have an idea of where the product is going – a product roadmap that takes into consideration the new technology, how it may change in the future and how the product can and should be upgraded to take advantage of what is happening in a rapidly changing technology environment.

The future of LCNC will include expanded and enhanced artificial intelligence (AI) capabilities. For example, the concept of Unified Commerce Business Optimization System (UCBOS), a zero-code approach that is designed to enable digital transformation throughout the enterprise by connecting all systems, data and workflow. The technology world of the future will allow programmers to use natural language to describe what they need and their requirements for an app, and then translate that into functional applications, allowing developers to program using natural dialogue to create and upgrade software. While we are few years away from this future, it easy to see how application development, and the skills required of an app development team will have to change, and how the evolution of software and applications will involve a different process than it does today, employing human skills, creativity, and artificial intelligence to take on more routine tasks and processes. Be sure your vendor has a vision for the future of the analytics product and will continue to leverage LCNC, AI and other technologies and tools as they become available and as they are deemed appropriate and practical for business intelligence and analytics solutions.

There are other factors inherent in choosing the right LCNC-enabled analytics and BI tools. Here, we have provided some of the primary considerations for your review. If you are ready to choose a business intelligence (BI) solution, with self-serve augmented analytics, LCNC and AI-enabled tools, we encourage you to find out more about the benefits of this approach, and the capabilities of our advanced analytics solution.

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.’

‘No code Predictive Analytics, low code data analytics and No Code Business Intelligence Solutions provide numerous advantages and benefits to the enterprise and its users. To leverage predictive analytics and low code no code, the organization must choose the right vendor and the right solution.’

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?’, ‘How Does LCNC Enhance BI And Predictive Analytics,’ and ‘LCNC Benefits Teams, Business Users And Citizen Data Scientists.’

Original Post: How to Choose the Right Low-Code/No-Code BI Tools and Analytics!

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!