No-code Business Intelligence platform

 Embedded and visual analytics provides numerous advantages to turn your business around. This helps monetize your  business analytics software  simply by including cutting-edge analytics capabilities and functionalities as an add-on to generate additional sources of income. According to  research  by McKinsey, 41% of businesses use data to produce new revenue streams, and 20% of revenue for the best performers comes from monetizing their data analytics solution.  No-Code Analytics Platform may be one such invention to offer seamless analytical capabilities.  What Are the Benefits of Using Data Analytics in SaaS Environments? Having analytics built into your SaaS program means you can see crucial business data without interrupting your everyday workflow, making it simple to discover patterns and trends in your data that you might have missed before. The success of your business can be guided by the decisions you (and your users) make with the help of real-time data. By streamlining ope

  We live in a digital age where big data is all around us and is expected to rise by 40% yearly over the next ten years. Ironically, we are greedy for knowledge while being overwhelmed by data. Why? We have generated a lot of unstructured data but failed big data initiatives as a result of all this data creating noise that is tough to mine. The information is impenetrably hidden therein. It is impossible to benefit from such data if we lack robust no-code BI software tools by Grow or strategies for data mining.  Many executives believe that data mining can help them better understand demand and the impact that changes to items, pricing, or promotion have on sales, even though the practice is more commonly linked with inquiries made to the marketing department.  But data mining also has significant value for other facets of a business. Engineers and designers can investigate the how, when, and where factors that contribute to the success or failure of a product. Companies can efficie

In many industries, making data-based decisions is quickly becoming the norm. Companies are trying to give their employees more accessible, user-friendly ways to access and use data. Data discovery tools help businesses see their information assets and make it easier for business users to explore and work with an organization's data. Even users who don't know much about technology can find helpful information in data without learning data modeling and other new skills. Presently, it is being used in  Business Intelligence platform .  Visual analytics and natural language processing are two types of data discovery technologies that let users interact with data and analytics in natural ways, such as through visual interaction, drag-and-drop, and natural-language conversation. What is Data Discovery? Business intelligence used to be the job of IT departments or complex technology stacks that were managed by teams of experts. Over time, BI reporting and analytics software has chang