Tag: Augmented Analytics

Why Choose Augmented Analytics with Low-Code, No-Code Development

author_img
by |
February 26, 2025

Low Code No Code Development Supports Analytics Performance

Within the very near future, it is estimated that 70% of all software and application design will include a component of low-code or no-code development. So, it is no surprise that analytics software and tools are also affected by this trend. While advanced analytics and augmented analytics solutions provide a sophisticated, complicated underpinning of algorithms and analytical techniques, the average enterprise expects (and should look for) tools that are easy to use, so they can improve data literacy and data democratization and leverage analytics within the organization at the business user level, to improve results and efficiency.

It may be difficult to understand how such complex systems can benefit from the no code, low code approach, since the very concept of this approach seems at odds with the complexity of an analytical solution, but nothing could be further from the truth. When applied appropriately, these techniques can benefit the foundation of the augmented analytical solution and the users of those solutions.

  • Time and Expense – In a world where new features and functionality must keep pace with market demand, the emergence of no-code and low-code allows developers to add analytical functionality quickly, while controlling costs and time to market.
  • Business and Market Requirements – As organizations and business users embrace analytics, the need for new types of visualization, reporting and features changes quickly. In order to stay abreast of these changes and offer businesses the products they need, analytical vendors can quickly leverage, modify and develop new approaches to satisfy user requirements. Vendors can accommodate business-specific needs and data visualization requirements without time-consuming, expensive customization.
  • Integration of Third-Party Apps – Low-Code, No-Code capabilities support the easy integration of other enterprise applications and solutions and allow data analysis across the organization.
  • Performance and Scalability – Low-Code and No-Code solutions and platforms enable high-performance, scalable solutions and ensure that businesses can accommodate an expanding user base and data volume.
  • Compliance, Data Security and Industry Standards – No Code, Low-Code development includes data encryption features and user access security controls to mitigate risk, and protect data integrity and privacy.
Augmented Analytics with Low-Code, No-Code Development Provides Performance and Adaptability

If you are still wondering whether low-code and no-code approaches are appropriate for software and applications, consider these predictions and statistics from technology research organizations:

  • Gartner predicts that 75% of new software solutions will incorporate a low-code approach to development.
  • By some estimates, the use of low-code, no-code and artificial intelligence in analytics solutions has increased user access to analytics by as much as 56%.
  • Gartner predicts that organizations that lack a sustainable plan to operationalize and manage data and analytics will face a two-year setback in their data and technology efforts.

Choosing the right self-serve, augmented analytics solution can help the enterprise build a crucial foundation for analytics, for transition of business users into a Citizen Data Scientist role and for improved time-to-market, decision-making and collaboration. The use of new and cutting edge technologies and the seamless incorporation of these technologies is critical to the success of the analytical application implementation and to return on investment (ROI) and total cost of ownership (TCO) metrics.

Select and implement an Augmented Analytics Solution with business intelligence (BI) and advanced capabilities and enjoy the benefits of advanced technologies like Artificial Intelligence (AI) And Low-Code, No-Code (LCNC) techniques to ensure affordable, flexible solutions that every user can leverage, no matter their skillset or technical capabilities. Read our free article, ‘The Benefits Of Low-Code No-Code in Augmented Analytics.’

Original Post : Why Choose Augmented Analytics with Low-Code, No-Code Development!

Mobile BI Tools Solve Many Enterprise Issues!

author_img
by |
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!

author_img
by |
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!

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?

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!

Improve Data Clarity and Business Outcomes with Anomaly Detection!

author_img
by |
December 5, 2024

Select Augmented Analytics with Anomaly Monitoring and Alerts

Anomaly detection in data analytics is defined as the identification of rare items, events or observations which deviate significantly from the majority of the data and do not conform to a well-defined notion of normal behavior. Understanding anomalies in data can help a business by revealing trends, mapping targets and adapting to change with fact-based information that will help the enterprise and prescribe strategies to encourage agility and flexibility in the market and among competitors.

‘Using anomaly alerts and monitoring tools, business team members can quickly establish key performance indicators (KPIs) and personalized alerts and reports to monitor and measure results with powerful, clear, concise results that help users to understand and manage the variables that impact their targets and their results.’

A data anomaly is revealed when there is a dataset deviation or irregularity – something that is out of the bounds of expected patterns and behaviors. It is hard to overstate the criticality of anomaly detection. Without a comprehensive understanding of data, businesses can make risky decisions, misunderstand data integrity and depend heavily on information that is misleading, flawed or riddled with errors.

To accurately monitor and manage anomalies, the business must select an augmented analytics tool with comprehensive data visualization, data quality and anomaly monitoring tools, and the capacity to share and collaborate on information obtained through these tools.

Select interactive tools that allow a business user to gather information, establish metrics and key performance indicators (KPIs), identify crucial volatility and anomalies, and receive auto-suggestions and information to clearly identify the root cause of problems and target opportunities. These tools should include KPI monitoring, Auto Insights and Key Influencers.

Business Users Can Leverage Anomaly Monitoring and Alert Solutions to Understand Data

These tools allow business users with average technical skills to:

  • Identify a dataset
  • Define a KPI target
  • Define Influencers Using System Recommendations
  • Define Polarity and Frequency
  • Receive Alerts Via Email and In-Portal Notifications
  • Find the Root Cause of Issues to Solve Problems
  • Identify Opportunities to Improve Performance
  • Detect Anomalies, Increases, Decreases, Volatility and Trends
  • Discover Which Factors Caused Anomalies by Analyzing Key Influencers

Using these simple tools business team members can quickly establish key performance indicators (KPIs) and personalized alerts and reports to monitor and measure results with powerful, clear, concise results that help users to understand and manage the variables that impact their targets and their results.

‘It has been said that lack of data clarity can be ‘death by a thousand cuts.’ Without a clear picture of anomalies, outliers, and other factors that affect the quality and dependability of data, the enterprise cannot make an educated decision.’

To find out more about Anomaly Alerts And Monitoring, Contact Us. If your organization is looking for Augmented Analytics that leverages advanced techniques to 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: Improve Data Clarity and Business Outcomes with Anomaly Detection!

Low-Code/No-Code Analytics Design Engenders Solution Agility!

author_img
by |
November 18, 2024

Look for Analytics with Low-Code/No-Code Technology!

The advent of low-code, no-code app and software development has enabled rapid, innovative changes to all types of development projects and that new environment is evident in Modern Business Intelligence (BI) and Augmented Analytics products and solutions.

Continue reading “Low-Code/No-Code Analytics Design Engenders Solution Agility!”

Case Study : Augmented Analytics Solution for Large Indian Construction and Infrastructure Company!

author_img
by |
November 13, 2024

Augmented Analytics Solution for Large Indian Construction and Infrastructure Company

The Client is a prominent Indian construction and infrastructure company providing services in numerous sectors, including highway, rail, mining, energy, irrigation, and water supply. Known for their expertise in managing large-scale and complex projects, the Client has played a significant role in enhancing the India infrastructure and has achieved robust growth and financial stability. The Client is currently managing sixty two (62) projects and employs more than 5000 employees in numerous market sectors across India.

Continue reading “Case Study : Augmented Analytics Solution for Large Indian Construction and Infrastructure Company!”

Why Should Business Users WANT to be a Citizen Data Scientist?

author_img
by |
November 7, 2024

Making the Case for Citizen Data Scientists!

When a business decides to undertake a data democratization initiative, improve data literacy and create a role for Citizen Data Scientists, the management team often assumes that business users will be eager to participate, and that assumption can cause these initiatives to fail.

Continue reading “Why Should Business Users WANT to be a Citizen Data Scientist?”