The Client is a full-service financial firm specializing in mortgage solutions, investment opportunities, and loan servicing. The company provides a robust platform for investors, borrowers, and loan applicants, offering tailored financial products and streamlined processes to enhance accessibility and efficiency. With a strong focus on compliance, risk management, and customer-centric services, it provides solutions for its clients to easily navigate the complexities of mortgage financing while ensuring a seamless experience.
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BI Tools with Low Code No Code Development Provide Flexibility
What is Low-Code, No-Code development? Is it important for your business to understand its value and how it can be used in business intelligence? Well, if you are planning to upgrade your BI tools or invest in business intelligence (BI) for the first time, it is important for you to understand the components and how the composition of your BI tools can establish a solid foundation for growth and provide flexibility for change.
Low-code and no-code application development are methodologies for faster and simpler software development. The techniques use platforms and software to minimize code and enable drag and drop and other techniques to simplify and speed the development process.
‘The LCNC approach allows business intelligence vendors to create, configure, integrate, deploy and support BI tools at a lower cost, reducing the cost of the solution and ensuring that your team can transition to a Citizen Data Scientist role.’
According to a recent study:
- No-code and low-code platforms help reduce app development time by 90%.
- 70% of new business applications will use low-code/no-code technologies by 2025.
- Compared to conventional app-building platforms, no-code solutions consume 70% fewer resources.
- Gartner forecasts that low-code adoption will be so widespread that 75% of the software solutions built around the globe will be made with the help of such tools.
So, why would this be important to YOUR business?
- First, the flexibility and speed provided by Low-Code, No-Code (LCNC) development will allow your vendor of choice to quickly and easily respond to the market and provide new features and functionality.
- Secondly, the ease of development allows developers to customize and personalize to respond to your needs.
When Low Code and No Code techniques are applied to business intelligence and augmented analytics solution development, there are numerous advantages. Here are just a few:
Application Development – The low-code, no-code approach reduces the time involved in application development, providing features and functionality to support user needs, supporting data visualization, reporting and a seamless user experience (Ux).
Solution Flexibility – LCNC development allows the development team to achieve flexible data construction and to easily integrate data from disparate data sources, producing an intuitive dashboard view and reports for users, so your team can use advanced analytics without advanced technology skills. Your enterprise can enjoy personalized dashboards and views that are suitable for the team, department, division, etc.
Building for the Future – Low code no code development allows the vendor development team to produce rapid results and to build in flexibility for the future, so BI software can keep pace with the market, with business needs and with your users. This approach allows the development team to support analytics, reporting requirements, data visualization, and data integration and modeling.
Productivity and Resources – Because this approach supports rapid development and creates a responsive environment, business owners and managers can work with the vendor and development team to address new business requirements, support team members with easy-to-use tools and anticipate changes in their competitive landscape with features and functionality that support workflow, business processes and user productivity.
Total Cost of Ownership (TCO) and Return on Investment (ROI) – The LCNC approach allows business intelligence vendors to create, configure, integrate, deploy and support BI tools at a lower cost, reducing the cost of the solution and ensuring that your team can transition to a Citizen Data Scientist role, thereby holding costs for data scientists, etc. The BI tools included in the technology stack will be affordable and provide a solid foundation for cost-effective growth.
‘The flexibility and speed provided by Low-Code, No-Code (LCNC) development will allow your vendor of choice to quickly and easily respond to the market and provide new features and functionality.’
What is Low-Code, No-Code development? Is it important for your business to understand its value and how it can be used in business intelligence? Well, if you are planning to upgrade your BI tools or invest in business intelligence (BI) for the first time, it is important for you to understand the components and how the composition of your BI tools can establish a solid foundation for growth and provide flexibility for change.
To learn more about the use of Low-Code/No-Code Development in augmented analytics and business intelligence tools, explore our free article, ‘Low-Code, No-Code In Analytics.’
Find out how to ensure Return on Investment (ROI) and Total Cost of Ownership (TCO) results, gain a competitive market advantage, and enable user adoption, read our free White Paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’ Explore The Benefits of our Augmented Analytics And BI Tools, 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:
How Does Low-Code, No-Code Development Support BI Tools?
The Client has a start-up business in the United States. This Client is focused on the recruitment technology market. Its business focuses on improving efficiency and quality of the complex process of sourcing in the recruitment industry. The Client business mission is to leverage artificial intelligence (AI) to improve the efficiency and speed of sourcing the best candidates.
The Client is a renowned refinery and industries business in India with a global business. It produces soy bean, refined rice bran, coconut and other related edible oils, as well as personal care oils, bio-diesel and speciality fats. The Client provides cost-effective solutions through augmented productivity, innovation and economies of scale and is committed to cutting-edge technology and processing to achieve its vision and a competitive advantage.
Use Data Quality and Data Insight Tools to Avoid ‘Bad Data’
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.
By some estimates, bad data costs global organizations more than five trillion USD annually, and at the enterprise level, the quality of data can be a burden on IT, analysts and business users and acceptance of bad data can be inherent in business processes. Improving the overall quality of data increases confidence in decisions, reporting, strategies and the adoption of dependable analytical models across the organization.
When a business implements Data Quality, Data insight and Data Quality Management tools and techniques it can establish a comprehensive process with a solid set of tools to identify errors, enhance data quality, and boost productivity. Business users can leverage intuitive tools to uncover hidden insights and improve the overall quality of data with actionable recommendations to take prompt action.
Benefits:
- Ease-of-Use and intuitive tools for business users and team members – no technical skills required
- Improved accuracy and dependability of data for confident decision-making
- Data Quality supported by statistics and machine learning to assure credibility
- Improved data insight without delays or re-work
- Assured agility and decentralization of analytics
- Consistency of data quality and availability
- Improved User Adoption
Data insight takes data to the next level by providing comprehensive data analysis and quality assurance features that empower business analysts and users to quickly and easily identify errors, enhance data quality, and boost productivity. The business can harness the power of statistics and machine learning to uncover those crucial nuggets of information that drive effective decision, and to improve the overall quality of data. This approach allows users to let the system do the work for them and make confident decisions.
A foundational augmented analytics solution with machine learning, natural language processing and automation within an advanced analytics solution suite can improve results and support its team with augmented analytics designed as self-serve solutions for business users. Users can gather and analyze information with assurance of sustained data quality and produce results that are clear and concise.
Advanced data management features ensure data quality and provide crucial data insights with tools like Column Analysis, Feature Importance, Missing Value Analysis and Observations. Tools that support data insight include numerous data quality management techniques. These tools allow users to see and work with datasets in a way that is targeted and provides clear, actionable information for decisions and strategies.
If your business wishes to improve the easy of analytics and Quality Of Its Data and achieve data insight in a timely, dependable manner, find out more by watching this free Smarten Webinar: ‘Improving Data Quality With Data Insights,’ and read our free blog article, ‘Balance Data Quality With Data Agility.’ Explore our Smarten Augmented Analytics Products And BI Tools.
Original Post : Use Data Quality and Data Insight Tools to Avoid ‘Bad Data’!
Understanding the role of a Citizen Data Scientist and the opportunities provided by this approach is the first step in leveraging the Citizen Data Scientist approach. Engaging a vendor and choosing the right Augmented Analytics Business Intelligence tools, services, training and deployment will ensure success. The prospect of transforming business users into Citizen Data Scientists may seem daunting but, with the appropriate planning and support, and the appropriate Augmented Analytics solution, the initiative can be extremely successful.
Fact-Based Analytics and Citizen Data Scientists = Results
So, you want your business users to embrace and use analytics? You want your business to enjoy the benefits of fact-based decision making? You want your business to use the tools of business intelligence to improve market presence, customer satisfaction and team productivity and collaboration?
‘Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.’
Gartner has predicted that, ‘a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations.’ And that is the good news. But, if the business is to leverage the potential of analytics within the organization, it must choose the right analytics tools to ensure that business users will adopt analytics in day-to-day tasks.
If your enterprise wishes to transition business users into Citizen Data Scientists and use augmented analytics to gain a competitive advantage, it must provide easy-to-use tools that do NOT require team members to be business analysts or IT professionals – tools that allow users to quickly gather data using self-serve data preparation, using data integrated from disparate data repositories with smart data visualization to view, format and share results that are clear, concise and actionable.
The business market is more competitive than ever and in today’s environment it isn’t enough to simply analyze historical data. To make good business decisions, adjust strategies and forecast and plan, you must use that historical data to plan for the future.
Businesses that can gather data from disparate sources and use historical data to understand trends and patterns and forecast for the future can establish and sustain a competitive advantage and plan more effectively and accurately, avoiding missteps in the market and costly mistakes.
If your business wishes to sustain a competitive advantage, if you as a user wish to advance in your career and build your value to the organization, it is incumbent upon you to embrace the trend of data democratization, data literacy and self-serve, augmented analytics.
Today, augmented analytics and smart data discovery make it easier for business users, data scientists, IT staff and the organization to benefit from fact-based decision-making, collaboration, data literacy and the ability to easily, gather, integrate and analyze data.
Whether you are trying to solve a business problem, get to the heart of that problem, find a business opportunity, predict the need for resources, new products or locations or understanding changes in your customer buying behavior, you don’t have time to learn complex tools or take training in analytics.
What you need are apps and solutions that allow you to ask easy questions in your own words and receive guidance and recommendations on how to best visualize and present your data and what techniques to use to gain the most insight.
Use a simple low-code, no-code analytics platform and augmented analytics and BI tools designed for business users with real-world business cases to find answers and solve problems. You can untangle quality and maintenance issues, refine customer targeting and marketing optimization, make appropriate financial investment decisions, and even use external data to analyze trends and patterns and make forecasts and predictions, helping users and the business to achieve success in industries and businesses like retail, pharmacy and wellness, insurance, manufacturing, government and public sector, utilities, and other industries.
‘If your enterprise wishes to transition business users into Citizen Data Scientists and use augmented analytics to gain a competitive advantage, it must provide easy-to-use tools that do NOT require team members to be business analysts or IT professionals.’
To find out more about how to ensure Return on Investment (ROI) and Total Cost of Ownership (TCO) results, gain a competitive market advantage, and enable user adoption, read our free White Paper, ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI.’ Explore The Benefits of our Augmented Analytics And BI Tools, 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 : Analytics and Citizen Data Scientists Ensure Business Advantage!
The Client is a global discount grocery and supermarket chain headquartered in Germany, with locations in over thirty (30) countries spanning Europe, the U.S., and Asia. The Client is known for its cost-efficient model, private-label products, and no-frills shopping experience, and offers high-quality goods at lower prices.
The MVP Approach Improves Start-Up Apps and Software Products
If your business is a start-up, with a concept for an application, a software product or a website to sell to the public or provide business to business (B2B) or business to consumer (B2C) solutions, you know how challenging it can be to get your product off the ground. It takes a lot of investment, resources and time and, if you miss the mark, if there are gaps in your solution, or if you produce a solution with security or compliance issues you will ruin your reputation and your prospective customer base will go elsewhere.
‘By working with an IT partner whose team is expert in Minimum Viable Products (MVP), the business can quickly and easily define requirements and develop a product to gain insight and perspective into the market, business assumptions and customers.’
Studies reveal that 44% of startups fail because of a shortage of cash flow. That means that your start-up business must jealously guard its investments and spend money wisely. Rapid scale and injudicious expenditure and development results in a 74% failure for those start-ups that expand too rapidly and without the required knowledge of what their customers want and need.
The Author of The Lean startup, Eric Ries, coined the term ‘Minimum Viable Product’ to define product development that incorporates a learning period in which the business can develop a simple, illustrative product with minimal features to test its theories about customer requirements, marketing, user interface, and he market using a short development cycle and minimum investment.
Minimum Viable Products (MVP) provide numerous benefits without expensive, time-consuming product development and allow the business to learn from the initiative and invest that learning into the final product, with plans for upgrades, etc.
- Reduce Risk – The business can avoid the risk of producing a product that suffers from overkill and provides expensive features that customers don’t want or need. It is tempting to add all the bells and whistles but the features your customers want may be very different than what your marketing team and IT team see as the vision.
- Mitigate Expenses – The business can limit its investment and avoid having to engage and attract investors and funding.
- Rapid Development – MVPs can be developed very quickly, because they entail only the minimum features and are designed to get customer feedback and to prove technology and functionality theories.
- Customer Feedback – Customers can see and use the features and provide valuable feedback which helps the business define a final product roadmap and makes customers feel more invested in the process thereby ensuring a better user adoption rate.
- Marketing and Advertising – The business can hear and incorporate valuable information from customers to define and hone its marketing messages.
By working with an IT partner whose team is expert in Minimum Viable Products (MVP), the business can quickly and easily define requirements and develop a product to gain insight and perspective into the market, business assumptions and customers.
- Create a basic product with the crucial feature set
- Design and employ a customer feedback loop to incorporate and integrate customer comments and experiences into the final product or iterate future versions
- Create a product launch without all the fanfare of a final launch and the expense of marketing and advertising to build buzz and customer excitement.
- Limit initial investment to ensure that the idea works before investing a lot of capital and resources.
- Better understand pricing strategies and product upgrade schedules.
‘Minimum Viable Products (MVP) provide numerous benefits without expensive, time-consuming product development and allow the business to learn from the initiative and invest that learning into the final product, with plans for upgrades, etc.’
Explore our expert Minimum Viable Product (MVP) services. Discover our Software Application And Maintenance Services, Software Application Development Services and ongoing technology support. Build Your Software Team using our resources, skills and experience. Our flexible services can provide welcome relief to your busy IT staff, and our core value and benefit to the organization is undeniable. Contact Us to find out more about our Partnerships.
Original Post: Minimum Viable Products Enable Swift Start-Up and Product Insight!
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Original Post : Smarten Support Portal Updates – April – 2025!
