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.
Here are some important 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.
There is good reason for this prediction. By leveraging the no-code, low-code approach to application development, programmers and businesses can quickly and easily address the changing market and evolving customer buying behavior and customer expectations, and they can create an innovative environment that is agile and reactive to the needs of the business and the end users.
‘Team members and customers are more tech savvy today and they expect new, innovative solutions that allow them to see information and better understand that information using a variety of techniques.’
The No-Code approach leverages a set of scripts, tools and components to allow developers to construct and deploy applications without extensive user interface (UI) configurations and limited coding and programming.
The Low-Code approach allows the developer communication to plan and construct apps with minimal coding, thereby reducing time to market.
When applied to BI tools and augmented analytics, the developer team can access data, create models, reports, charts, graphs, grids, gauges, tables and other objects and data visualization techniques to quickly satisfy end user and organizational needs and to address the needs of a growing, evolving organization and user requirements.
When an analytics vendor incorporates these new technologies within an augmented analytics solution, it can positively reinforce user adoption, and allow team members to quickly and easily adopt analytics and use it on a day-to-day basis to support workflow, and improve the quality and speed of business decisions.
Perhaps one of the most important aspects of incorporating new technologies like low-code, no-code and AI within technology solutions is the ability of the enterprise to accurately and effectively address user and customer expectations. Team members and customers are more tech savvy today and they expect new, innovative solutions that allow them to see information and better understand that information using a variety of techniques, including video, logs, and visualization.
These context-enriched approaches to analytics make it easier for team members and customers to see and understand data in a way that is meaningful to them, and the emergence of these new techniques allows the enterprise to manage and present more data and various types of data to fulfill user and customer expectations.
‘By leveraging the no-code, low-code approach to application development, programmers and businesses can quickly and easily address the changing market and evolving customer buying behavior and customer expectations.’
If your organization is looking for BI Tools and Augmented Analytics that leverage Low-Code/No-Code Technology and other 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 : Low-Code/No-Code Analytics Design Engenders Solution Agility!
