Automation
Automation in augmented analytics refers to the use of machine learning technologies to automate routine manual tasks across the data analytics lifecycle. This significantly reduces the time needed for data preparation, analysis, and the generation of insights.
For instance, automation can help discover and korea whatsapp number data prepare raw data more quickly and generate text-based reports, enhancing the efficiency of insight sharing. It also makes it easier to analyze the provided data, convert everything from PDF to Excel, and more or less have a completely autonomous way of handling different databases.
As the adoption of augmented analytics continues to grow, businesses are beginning to experience the transformative impact of this innovative technology.
Democratization of Data Analysis
Traditionally, data analysis has been the domain of highly skilled data scientists and BI experts. Augmented analytics changes this dynamic by empowering non-technical users to participate actively in the insight-generation process.