Visit and Explore Our Blog

Discover the Elegant MicroWeb Difference

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

author_img
by |
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!

author_img
by |
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?

author_img
by |
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

author_img
by |
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!

author_img
by |
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!

author_img
by |
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!

author_img
by |
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!

author_img
by |
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!

The Brave New World of Embedded BI and Embedded Analytics!

author_img
by |
January 2, 2025

Embedded BI: The New Secret Weapon

Your business users probably have their favorite legacy systems, best-of-breed solutions, and business apps. When your IT and management team introduce a new software application, it can often be seen as a nuisance or, at best, a tool whose day-to-day workflow value is not offset by the task of learning how to navigate the software.

Embedded BI is gaining in popularity, simply because it adds so much value to the organization and, with proper planning, it will also add immeasurable value to your team members.

‘With Embedded BI, users can achieve clear insight into data and improve the quality of decisions, present data in a clear fashion and achieve faster, more reliable results.’

Based on a recent survey, 49% of companies have increased their utilization of business intelligence analytics compared to pre-pandemic levels. That is an impressive statistic but it does not reflect the probability of user adoption and, without user adoption, the BI tools will reap very low return on investment (ROI).

Embedded BI Improves User Adoption AND Enterprise Market Targeting

In order to achieve the maximum value, the enterprise must choose a business intelligence and augmented analytics tool that is easy for users to embrace – one that provides clear visualization and results so users can present data, share data and understand results In a way that is meaningful to their role. With the right embedded BI tools, the organization can embed analytics within its most popular enterprise apps so users can make data-driven decisions.

The Embedded BI approach lends itself well to many business functions, i.e., inventory demand planning, customer relationship management (CRM), enterprise resource planning (ERP) systems, and many other functions. Industries like healthcare, research, financial services and others can leverage embedded BI to identify trends, patterns, issues and opportunities without the help of a programmer or IT specialist. The enterprise can embed analytics to improve the products and services they offer their customers. HR departments can identify demographics, workforce requirements, training needs, and more.

Business User Benefits

  • Users can see, gather and analyze data working within a single sign-on environment, eliminating the frustration of system silos and data migration.
  • Team members will be more productive, and the enterprise can improve workflow and make the users more efficient by saving time and eliminating redundancies and delays.
  • Users can achieve clear insight into data and improve the quality of decisions, present data in a clear fashion and achieve faster, more reliable results.

Enterprise Benefits

  • The business can optimize its staff and team by using their time more efficiently.
  • The organization can establish and use visualization formats and techniques that provide real value to the management team and the staff.
  • The enterprise can leverage tools to query data across various types of data sources, and to encourage collaboration.
  • With the right embedded BI and analytics solution, the organization can ensure mobile access to data, improve business processes using cutting-edge artificial intelligence (AI), and ensure appropriate security and user-friendly tools that will encourage user adoption and improve return on investment (ROI) and total cost of ownership (TCO).

Embedded BI is gaining in popularity, simply because it adds so much value to the organization and, with proper planning, it will also add immeasurable value to your team members.

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 : The Brave New World of Embedded BI and Embedded Analytics!

Explore the Advantages of AI in Software Apps and Solutions!

author_img
by |
December 26, 2024

Artificial Intelligence (AI) Can Take Apps to the Next Level!

The renowned technology research firm, Gartner, predicts that by 2027, ‘more than 50% of GenAI models in use by enterprises will be specific to either an industry or a business function.’

Continue reading “Explore the Advantages of AI in Software Apps and Solutions!”