Democratize Predictive Analytics and Support Citizen Data Scientists

Enable Citizen Data Scientists with Predictive Analytics and BI

When a business recognizes the need for analytics and fact-based decision-making, it must choose the best BI tools and analytics to meet its requirements. While it is important to carefully consider the technology landscape, the integration needs and reporting requirements, one of the most important factors in choosing an advanced analytics solution is the foundation for data democratization and data literacy.

Today’s competitive business landscape makes it more important than ever to ensure that your enterprise can optimize productivity and team knowledge. The business must leverage BI tools to provide up-to-date, clear information to its team members so that they can collaborate, share data and make the best decisions. Analytics and predictive modeling tools also support the presentation of data in a way that is meaningful to the target audience and to those who are considering the data to capitalize on opportunities, solve problems and explain recommendations.

‘If you wish to encourage and enable Citizen Data Scientists, you must select a predictive analytics solution that can produce meaningful results to suit the role of the team member, and one that will satisfy the technical needs of an average user.’

According to Data Stack Hub, ‘Organizations that adopt data-drive decision-making are 5x more likely to make faster decisions,’ and ‘Approximately 73% of organizations say data analytics is a top priority in their digital transformation efforts.’

As businesses search for ways to plan, forecast and predict outcomes, the addition of predictive modeling as a tool for team members can enable and encourage user adoption of augmented analytics tools. Concise, clear and dependable predictions can help the team to plan accurately and to gain insight into how pricing changes, new products, and changes in customer communication will affect sales, customer retention, etc.

Support User Adoption and Citizen Data Scientists with Augmented Analytics and Predictive Modeling

When a team member adopts tools that help them to more easily and effectively complete tasks and share information, the team is more likely to embrace analytics and the organization can achieve digital transformation goals and transition team members into a Citizen Data Scientist role, thereby allowing business analysts and data scientists to focus on more strategic activities and ensuring that the team is producing fact-based information and making decisions that are based on data rather than on opinion or guesswork.

‘Concise, clear and dependable predictions can help the team to plan accurately and to gain insight into how pricing changes, new products, and changes in customer communication will affect sales, customer retention, etc.’

Ease-of-use and a clear understanding of results is paramount to successful user adoption of any software, but when it comes to predictive modeling and augmented analytics it is even more important. If you wish to encourage and enable Citizen Data Scientists, you must select a predictive analytics solution that can produce meaningful results to suit the role of the team member, and one that will satisfy the technical needs of an average user. By providing tools that help them do their jobs more efficiently, more quickly and with better results, you are much more likely to create an environment where Citizen Data Scientists can thrive.

Contact Us to discuss the unique needs of your organization and your users and find out more about our Predictive AnalyticsAugmented Analytics Solution and services, enabling Citizen Data Scientists, and the use of Smarten Technology. Explore our free white paper, ‘Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’

Ensure Return on Investment and User Adoption for Augmented Analytics

How Can My Business Ensure ROI and User Adoption for BI Tools?

Reliable Research Study recently reported that, ‘The United States Augmented Analytics Software market is poised for significant growth, driven by increasing demand for data-driven decision-making and the integration of artificial intelligence. Businesses are leveraging advanced analytics tools to enhance data interpretation and automate insights, fostering a more agile operational environment.’

There is no doubt that the augmented analytics market is growing by leaps and bounds around the world. But for the business wishing to roll out its first augmented analytics software installation or for companies that wish to upgrade their analytics and improve data democratization and data literacy, the path to full implementation and user engagement can be fraught with missteps.

‘With careful planning and engagement of team members to extract feedback and plan for challenges, the business can ensure Return on Investment (ROI) and low Total Cost of Ownership (TCO), and enable user adoption.’

No executive team will approve new technology without some guarantee that it will pay off! Which means that the business team must find a way to ensure Return on Investment (ROI) and prove the benefits of the augmented analytics implementation.

Is Mobile BI Really a Necessity in Today’s Business Environment?

There are a number of considerations a business should include in order to address the issues inherent in this type of installation:

  • How and why does the team the business can benefit from this implementation?
  • What is the level of technology skills for the average intended augmented analytics user?
  • What resistance to workflow and process changes might arise? This issue will require engaging with the enterprise team to understand and address issues
  • What benefits will the enterprise team enjoy if the new analytics system is implemented?
  • How can collaboration, productivity, fact-based decision-making and data literacy improve the day-to-day team process and the organization?
  • Does the augmented analytics solution under consideration meet the stated requirements for features and functionality for the team and the company?
  • Does the solution support embedded BI, single sign-on and integration APIs to encourage users to explore analytics within the confines of familiar enterprise applications?
  • Does the solution provide ease-of-use for all users and flexibility and personalization options to make its use more meaningful to each user?
  • Does the IT team have the appropriate support from an expert Augmented Analytics partner to review and address requirements and provide support?

When selecting an augmented analytics solution or BI tool, the business should take the time to plan carefully in order to avoid implementation of a solution that does not suit the needs of the organization or one that users will not adopt because of poor training or communication or cultural bias against new work processes or workflow.

With careful planning and engagement of team members to extract feedback and plan for challenges, the business can ensure Return on Investment (ROI) and low Total Cost of Ownership (TCO), and enable user adoption. Take the time to develop requirements, consider the features and functionality that will best serve you organization and create user cases to test the features against the planned use of the software product.

‘No executive team will approve new technology without some guarantee that it will pay off! Which means that the business team must find a way to ensure Return on Investment (ROI) and prove the benefits of the augmented analytics implementation.’

Contact Us to discuss the unique needs of your organization and your users and find out more about our Augmented Analytics Solution and services, and about Smarten Technology. Explore our free white paper, ‘Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’

Citizen Data Scientists are the Future of Analytics

Citizen Data Scientists Enable Analytics Across the Enterprise

A recent MIT Sloan Management Review Article reported that 37% of those surveyed said they work in a data and AI-driven organization.

But, all the data and analytics in the world will not help your business if you don’t have a way to easily access and understand that data and those sophisticated analytical processes. You can hire an expensive team of data scientists, IT professionals and business analysts and hope they can produce data fast enough to meet your needs in a format that is easy to understand. But, there is an easier way!

‘If analytics is to fulfill its potential in your enterprise, you must address the human element and understand how, when and where data is used, and the importance of that data in making fact-based decisions, and ensure that you are making the best use of your team members and the data that resides within your organization.’

The wise business executive understands that technology and data must frame their competitive strategy. In order to understand what clients and customers want, the organization must have easy access to reliable, current information and they must be able to cascade that information to their team members so that everyone is working from the same information, and the teams can support the overall strategies and goals of the enterprise with agile business processes and information to make rapid, accurate, fact-based decisions.

The Citizen Data Scientist culture enables data literacy and data democracy and allows team members with average technology skills to gather and analyze data and…more importantly…to understand that data so they can use it to make informed decisions. Sophisticated analytics and an integrated technology infrastructure and landscape provide the foundation to enable continuous improvement, but the future of analytics does not lie in the algorithms and data – it lies in how humans can and should use that data to make decisions.

The Citizen Data Scientist Approach Represents the Next Chapter in Analytics

A Citizen Data Scientist can use self-serve augmented analytics to perform day-to-day analytics as part of their daily routine and help the enterprise to optimize data scientists, IT and business analysts. By taking on the day-to-day analytics and using those analytics to make decisions, they can free the data science professionals to work on strategic activities.

Self-Serve Data Analytics include data preparation, data cleaning, exploration, and data visualization, as well as data sharing and collaboration.

Data Insights enable business users to make dependable, fact-based decisions without the assistance of IT professionals or data scientists. Results are clear and concise and users can perform deep dive analytics at the click of a button.

Data Democratization is enhanced by giving business users access to crucial, up-to-date data and allowing them to become familiar with data analytics in a risk-free, easy-to-understand environment that encourages user adoption of analytics software.

Organizational Agility improves with the use of data analytics and improved, clear, concise insight, making it easier to see, understand and take action on data to improve results and outcomes and align the organization at every level.

‘The Citizen Data Scientist culture enables data literacy and data democracy and allows team members with average technology skills to gather and analyze data and…more importantly…to understand that data so they can use it to make informed decisions.’

Analytics and data analytical software alone cannot satisfy the needs of the organization. If an enterprise wishes to create an agile, responsive environment and improve time to market, reduce re-work and provide a competitive advantage, it must employ a strategy to improve data literacy, data democratization and the use of self-serve analytics that encourage collaboration, innovation and data sharing across teams, business units and business functions.

If analytics is to fulfill its potential in your enterprise, you must address the human element and understand how, when and where data is used, and the importance of that data in making fact-based decisions, and ensure that you are making the best use of your team members and the data that resides within your organization.

Contact Us to discuss the unique needs of your organization and your users and find out more about the Citizen Data Scientist Approach, and about Smarten Technology. Explore our free white paper, ‘The Potential Of The Citizen Data Scientist Approach And Augmented Analytics.’

SMARTEN and Arisoft Unite to Deliver an Enhanced Analytics Solution for DELMIAworks Customers

Two domain experts join hands to provide exceptional value to DELMIAworks users.

Ahmedabad, Gujarat, India —

SMARTEN, the flagship advanced analytics platform from Elegant Microweb Technologies Pvt. Ltd and Arisoft, an award-winning partner renowned for reselling and implementing DELMIAworks ERP, are thrilled to announce a strategic partnership aimed at delivering transformative value to businesses that operate DELMIAworks. This offering will be available to all DELMIAworks customers worldwide, with a special focus on the USA, Canada, Europe, and the Far East.

The Partnership

This collaboration combines SMARTEN’s cutting-edge analytics capabilities with Arisoft’s proven track record in DELMIAworks ERP implementation and support. By joining forces, the two companies aim to empower organizations with actionable insights, predictive models, anomaly detection, and monitoring through dashboards and advanced drill-down capabilities.

This will enable more effective decision-making for DELMIAworks users, reducing losses and improving planning and management.

SMARTEN and Arisoft Unite to Deliver an Enhanced Analytics Solution for DELMIAworks Customers

Key Benefits of the Partnership

  1. Ready-to-use solution for all DELMIAworks customers. Short implementation cycle of 10 days.
  2. Short implementation cycle and self-serve data analytics, which allow domain experts to do advanced analytics, makes this a very cost-effective offering.
  3. Leverages the expertise of an award-winning DELMIAworks partner and a development as well as implementation team of SMARTEN, advanced analytics.
  4. The partnership will provide DELMIAworks customers with solutions for monitoring, dissecting, and analysing data, as well as creating their own dashboards.
  5. The solutions include Predictive Analytics as well as Anomaly detection, which are built in, and more can be developed by the end customer.
  6. Focused solely on DELMIAworks, the solution is designed to meet customer expectations, as each partner in the joint venture is familiar with every data point, from the data structure to the customer’s specific needs.

Executive Quotes

Kartik Patel, CEO of SMARTEN, commented: “We believe that our partnership with Arisoft will set a new standard for analytics-driven solutions for DELMIAworks customers. Together, we can help businesses realize the full potential of their data.”

Imtiaz Lodhi, Managing Director at Arisoft, added: “This alliance allows us to offer our clients unmatched value—pairing the power of DELMIAworks ERP with advanced analytics for smarter, faster decision-making. Our expertise in DELMIAworks and SMARTEN’s expertise in analytics will provide a unique, ready-to-use solution for the customer.”

About SMARTEN

SMARTEN, an offering by Elegant Microweb Technologies Pvt Ltd, is an advanced analytics platform that turns raw data into valuable business intelligence. SMARTEN serves organizations worldwide with its unique offering, which supports customers in monitoring their business, drilling down from KPIs to Root Causes, receiving exception reports when something requires immediate attention, and utilizing diverse predictive analytics. The platform is mentioned in multiple Gartner reports and has provided value to customers across domains.

About Arisoft

Arisoft is a leading partner of DELMIAWorks (formerly IQMS) with a strong presence across the USA, Canada, the Middle East, and the Far East. It was awarded “Partner of the Year – 2023” at 3DEXPERIENCE WORLD 2024 in Dallas, Texas, recognizing its expertise in ERP, MES, IoT, and digital transformation. Arisoft’s consistent delivery of high-impact ERP solutions underscores its commitment to innovation and long-term client success in the manufacturing sector.

DELMIAworks is a manufacturing ERP (Enterprise Resource Planning) software solution that combines factory floor process control with ERP functionality.

For more information on this partnership, please visit www.SMARTEN.com or www.arisoftglobal.com

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

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!

Improve Data Clarity and Business Outcomes with Anomaly Detection!

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 MonitoringContact 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.

Augmented Analytics Can Improve Results from Tally Solution!

Add Augmented Analytics to Tally ERP and Make Your Users Even Happier!

This article is for Tally users! Did you know that Tally reports more than seven (7) million users? If your team is currently using the Tally suite of financial products, and your users are invested in the features of the accounting, sales, inventory, purchasing, finance, payroll, tax, reporting or other functionality, you may wish to consider adding analytics to your Tally solution to increase the value of the Tally software for your professional users and for your clients and colleagues.

‘Adding analytics to your Tally solution will make it easy for your users to analyze data and get results without learning complex analytical systems or being frustrated by new tools, navigation techniques and data structures.’

If your users have access to analytics from within the Tally environment, you can increase and extend the value of the Tally solution, and further expand the value of the application by providing your users with the ability to gather and analyze data across modules, and to spot trends and patterns, reveal issues, gain insight into what is working and what is not working and use that information to adapt, change and improve business processes, products, and services.

Increase the Value of Tally Solution with Integrated Augmented Analytics

By integrating augmented analytics with business intelligence and reporting, you can encourage data-driven decisions, and leverage intuitive dashboards, key performance indicators (KPIs) and sophisticated (easy-to-use) reports to support your business users and improve time to market, the quality of decisions and the ability to collaborate.

Keep it simple and make analytics accessible to all users with web and/or mobile access to suit the needs of your user roles and responsibilities. Your team can enjoy modern business intelligence features, dynamic, meaningful charts and graphs and reports, and intuitive visualization techniques. With near real-time access to transactions, your staff can work on the road or in the office, with out-of-the-box analytics, and reports for sales and purchasing, bank and cash, payables, receivables, inventory, taxes, cost center, ledger, account statements and drill-down capability for deep dive into data.

‘You may wish to consider adding analytics to your Tally solution to increase the value of the Tally software for your professional users and for your clients and colleagues.’

Getting the most out of your investment in existing software is important. You want to improve return on investment (ROI) and reduce total cost of ownership (TCO). You want your users to adopt and continue using the software you have invested in and to add value by using this software. While users often balk at learning new software (even when you know it will add value), adding analytics to your Tally solution will make it easy for your users to analyze data and get results without learning complex analytical systems or being frustrated by new tools, navigation techniques and data structures.

Find out how SmartenApps for Tally will support your accounting, finance, sales, inventory, and purchasing analytical needs, and bring your team and your business to the next level. Enjoy a 30-Day Free Trial of SmartenApps for Tally. Users can Download and Register for SmartenApps for Tally and use Tally data to analyze, explore and clarify.

Add Augmented Analytics to Tally ERP and Make Your Users Even Happier

Suketu Shah, Director, SOHAM ERP Solutions Private Limited

Since Elegant MicroWeb has joined the project, the client swiftly achieves all third-party requirements, especially analytical and artificial intelligence-related work. Moreover, the Elegant team addresses all kinds of concerns.

Data Scientist, Fintech Company

The client has been pleased with Elegant MicroWeb’s services — in fact, they commend the vendor’s ability to deliver quality work on time while responding to queries and requests along the way. The partners communicate mainly through virtual meetings.