Author: Smarten

Enable User Adoption of BI Tools with Embedded BI

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April 10, 2025

Embedded BI Assures User Adoption of Analytics

When a business sets out to initiate data democratization and improve data literacy, it must choose the right approach to business intelligence and select an augmented analytics product that is self-serve, intuitive, easy to implement and easy for business users to embrace. Transitioning business users into the role of a Citizen Data Scientist can be challenging.

 

‘If the organization wishes to convince its business users of the importance of data analytics and fact-based decision-making, it must provide tools that are intuitive, easy-to-use and can be established within the parameters of the user’s day-to-day tasks as an integrated part of their workflow.’

 

To ensure user adoption of BI tools, optimize return on investment (ROI) and total cost of ownership (TCO) and successfully deploy business intelligence and augmented analytics, businesses often choose Embedded BI.

 

Gartner defines embedded analytics in this way: ‘Embedded analytics is a digital workplace capability where data analysis occurs within a user’s natural workflow, without the need to toggle to another application.’

If Your Business is Considering BI and Augmented Analytics, Embedded BI Will Enable User Adoption

Embedded BI solutions differ from the typical business intelligence solution in a number of ways. Here are just a few examples:

User Experience (Ux) – In the traditional BI environment, business users must learn a new solution and interface and may be required to among other solutions and software products to use that data within the BI tool. Users with average or poor technical skills are not likely to adopt a solution that requires additional training and multiple steps to accomplish a task. In the Embedded BI environment, analytics is accessible from within a familiar enterprise solution using a single sign-on and tools that are intuitive, so the user can quickly find information and analyze it all in one place.

User Adoption – In a traditional BI environment, users must invest time to learn a new BI tool and work within data silos to try to analyze information and share that information with others. Embedded BI allows users to leverage analytics within the natural flow of their daily tasks and easily share that data with other users, so the team and the individual user adoption is supported.

Integrated Workflow – Business team members are busy, and they are often scrambling to complete tasks on time and to make decisions, create presentations and move on to the next thing. Traditional BI tools require users to interrupt their workflow, and use multiple enterprise solutions to gather and analyze data within the BI environment, so the analytics process is cumbersome and inefficient. Embedded BI allows users to work in an integrated environment, gain data insight and make relevant data-driven decisions without delay or frustration.

 

‘Embedded analytics is a digital workplace capability where data analysis occurs within a user’s natural workflow, without the need to toggle to another application.’

 

In a business environment that is more competitive than ever before, team members must have the tools they need to perform tasks and complete activities dependably, and to have a firm grasp on the solutions and tools they use without spending a lot of time in training, or in gathering and preparing data to gain insight into challenges, issues, opportunities or trends that affect business success. If the organization wishes to convince its business users of the importance of data analytics and fact-based decision-making, it must provide tools that are intuitive, easy-to-use and can be established within the parameters of the user’s day-to-day tasks as an integrated part of their workflow. This approach to BI and analytics will ensure user adoption.

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 : Enable User Adoption of BI Tools with Embedded BI!

Smarten Support Portal Updates – March – 2025!

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March 28, 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. Crosstab : Global Variables : Making use of Global variables
  2. Datasets & Cubes : Handling multiple JOINs through Step by Step Procedure to create a dataset
  3. Schedulers : Working with E-mail Delivery and Publishing Task

Predictive Use cases

  1. Assisted predictive modelling : Regression : Medical Cost Prediction Using Smarten Assisted Predictive Modelling
  2. Assisted predictive modelling : Classification : Machine Maintenance Using Smarten Assisted Predictive Modelling

Business Use Cases

  1. Business Scenarios : Monthly Sales Growth Analysis in Reverse Chronological Order
  2. Business Scenarios : How to derive the recently purchased city of each customer from daily customer transactions from various cities

Manuals and Technical Guides

  1. Smarten-Comprehensive-Guide-for-Effective-Visualizations
  2. Smarten-Concept-Manual-SmartenInsight
  3. Smarten-Integration-with-SAP

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 – March – 2025!

Is the Citizen Data Scientist Approach Right For My Business?

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March 20, 2025

Find Out the How of the Citizen Data Scientist Approach

In 2016, the technology research firm, Gartner, coined the term ‘Citizen Data Scientist,’ and defined it as ‘a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’

‘When business users make the transition to Citizen Data Scientists with access to augmented analytics solutions, they can provide additional value to the team, to managers and executives and allow IT and data scientists to focus on strategic goals.’

In the ensuing years, the Citizen Data Scientist role has become more refined, and those businesses that embrace this approach have seen real benefits. But just who are Citizens Data Scientists, and how does a business recognize candidates and benefit from enabling this role?

What Does the Citizen Data Scientist Concept Entail, and Can My Business Capitalize On Its Potential?

How Do I Find Citizen Data Scientist Candidates Within My Business? You will find your Citizen Data Scientist candidates among your business users and team members. They are curious and eager to learn new skills to contribute to the organization and to hone their skills for career advancement. Team members who make great Citizen Data Scientists are often power users, and are acknowledged as leaders within their own team. They are NOT IT professionals, analysts or data scientists but they share a common characteristic for precision and wanting to get it right the first time.

What Does a Citizen Data Scientist Do? Within the context of their roles and responsibilities, every business user needs clear, meaningful information to make fact-based decisions and recommendations. Citizen Data Scientists use data to create reports on a daily basis. As the Citizen Data Scientist role evolved, team members have leveraged the advantages of this data to share reports, to create and format presentations for recommendations and suggested changes to support pricing decisions, hiring, production, new products and services, financial investments, marketing and advertising campaigns, and many other decisions. As the movement grows within your organizations, you can enable data democratization and improve data literacy. Citizen Data Scientists can also work with IT, data scientists and business analysts to share their research and analytics when the business feels it is necessary to take the analytics to another level to ensure credibility for strategic decisions.

What Tools and Training Does a Citizen Data Scientist Need? One of the primary reasons the Gartner predictions have come to fruition is he evolution of the business intelligence (BI) and augmented analytics market to support the concept of Citizen Data Scientists. Today’s analytics solutions are easy-to-use, self-serve tools driven by Natural Language Processing (NLP), and machine learning, as well as Artificial Intelligence (AI). All of these technologies come together to support the business user and provide tools that are sophisticated in their functionality, yet intuitive and easy for a business user. These tools do not require IT skills or data science knowledge. When the team uses these tools, they can adopt a common language and techniques to work with IT and data scientists to create use cases and refine and share reports, formats and outcomes. The more complete, and intuitive the solution, the less training and onboard time the user will require. There are simple, Free Training Courses available that can help your business and your team understand the uses and benefits of this approach and enable user adoption.

When business users make the transition to Citizen Data Scientists with access to augmented analytics solutions, they can provide additional value to the team, to managers and executives and allow IT and data scientists to focus on strategic goals. Using Augmented Analytics Tools like self-serve data preparation to gather and prepare data, and smart data visualization to receive suggestions and recommendations on how to best view data, users can combine predictive analytics to forecast and model, and sophisticated tools like anomaly monitoring, key influencers, and sentiment analysis to gain crucial insight into changes in customer buying behavior, supplier issues, product time-to-market, trends, patterns and opportunities with dependable metrics to make data-driven decisions.

‘The Citizen Data Scientist role has become more refined, and those businesses that embrace this approach have seen real benefits.’

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

Original Post : Is the Citizen Data Scientist Approach Right For My Business?

Case Study : Augmented Analytics for Global Telecommunications Infrastructure Solutions Provider!

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March 11, 2025

Augmented Analytics for Global Telecommunications Infrastructure Solutions Provider

This Client is a global telecommunications infrastructure provider, offering comprehensive end-to-end solutions for wireless network planning, optimization, and performance management. It offers services to over thirty (30) Tier 1 and Tier 2 telecom operators and Original Equipment Manufacturers (OEMs) worldwide, and excels in advanced 5G NR and LTE-A technologies as well as legacy networks. Business services include RF Planning, Optimization, Quality of Service (QoS) Benchmarking, In-Building Solutions, and skilled Manpower Deployment to provide seamless execution across diverse environments. The Client operates in more than fifteen (15) countries and spans five (5) continents.

Continue reading “Case Study : Augmented Analytics for Global Telecommunications Infrastructure Solutions Provider!”

Predictive Analytics Supports Citizen Data Scientists!

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February 20, 2025

Use Predictive Analytics for Fact-Based Decisions

Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. These plans and forecasts will support investment in technology, appropriate resources and hiring strategies, additional locations, products, services and marketing strategies, partnerships and other components of business management to ensure success.

Forecasting and planning cannot be based on opinions or guesswork. It must be based on historical data, facts and clear insight into trends and patterns in the market, the competition and customer buying behavior. To accomplish these goals, businesses are using predictive modeling and predictive analytics software and solutions to ensure dependable, confident decisions by leveraging data within and outside the walls of the organization and analyzing that data to predict outcomes in the future.

‘Every industry, business function and business users can benefit from predictive analytics.’

According to CIO publications, the predictive analytics market was estimated at $12.5 billion USD in 2022 and is expected to reach $38 billion USD by 2028.

Predictive Analytics is Beneficial for Every Industry and Business Function

Predictive analytics encompasses techniques like data mining, machine learning (ML) and predictive modeling techniques like time series forecasting, classification, association, correlation, clustering, hypothesis testing and descriptive statistics to analyze current and historical data and predict future events, results and business direction.

When a business selects predictive analytics tools that are suitable for business users and team members, it can leverage sophisticated algorithms and analytical techniques in an easy-to-use environment to enable every team member to contribute to the bottom line by allowing them to gain insight into data and use that insight to make confident, fact-based decisions.

With these tools, users can explore patterns in data and receive suggestions to help them gain insight on their own without dependence on IT or data scientists. The enterprise can provide the tools needed at every level of the organization with tools and data science for business users that are sophisticated in functionality and easy-to-use for users at every skill level.

The benefits of augmented analytics and self-serve predictive modeling include:

  • No complex algorithms or data manipulation
  • Auto-recommendations for algorithms to explore underlying data
  • No advanced data science skills required
  • Analyze, share, collaborate and optimize business potential
  • Business users can prototype and hypothesize without professional assistance
  • Recommend optimal actions to achieve specific goals

Every industry, business function and business users can benefit from predictive analytics. Here are some examples of the use of predictive modeling:

Retail – Predictive Analytics tools can be used to understand customer buying behavior and to suggest products and product bundling based on previous purchases, buying patterns, and demographics. This creates a more personalized and targeted shopping experience that is unique to each customer.

Supply Chain – The organization can forecast demand and manage the supply chain to optimize inventory using machine learning to predict customer demand, seasonality, product trends etc., to that the enterprise can mitigate stock shortages and avoid warehouse and inventory overstock.

Healthcare – By using historical data regarding specific diseases, conditions and treatment plans, providers can forecast treatment outcomes, limit risk and improve overall care, thereby reducing complications, readmission and provider resource, medication and hospital bed shortages.

Energy Infrastructure – Using predictive analytics allows these businesses to monitor and analyze data and performance and to detect patterns and trends that may indicate downtime, breakdowns and maintenance issues.

Financial Services, Banks and Loan Businesses – Predictive analytics provides support for credit risk and fraud mitigation and allows businesses to create scoring models for loan approval, etc. based on credit history, and other financial considerations. Predictive modeling allows the organization to identify transactions that are outside the norm, and alert the business and its customers of hacks, fraud, etc.

‘When a business selects predictive analytics tools that are suitable for business users and team members, it can leverage sophisticated algorithms and analytical techniques in an easy-to-use environment to enable every team member to contribute to the bottom line by allowing them to gain insight into data and use that insight to make confident, fact-based decisions.’

These are just some of the benefits and use cases your business can consider to decide on how best to implement predictive analytics and integrate the use of these tools into day-to-day use for business users to improve data-driven decisions and results.

To find out more about AI And Predictive Analytics, 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 : Predictive Analytics Supports Citizen Data Scientists!

White Paper – The Practical Use of GenAI in Business Intelligence and Analytics Tools

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February 13, 2025

White Paper – The Practical Use of GenAI in Business Intelligence and Analytics Tools

In this white paper, we focus on the practical use of Generative Artificial Intelligence (GenAI) in Business Intelligence (BI) and Analytics tools and present several business use cases to illustrate how this approach to analytics can support business goals and help the enterprise to achieve goals. We also discuss some of the challenges a business may wish to consider in order to ensure that its analytics solution effectively incorporates GenAI so the enterprise can confidently depend on results and improve user adoption and ROI.

(more…) "White Paper – The Practical Use of GenAI in Business Intelligence and Analytics Tools"

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!

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!!

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!