Simplified Data Manipulation and Cleaning Without Coding
What does Traditional Data Manipulation lack? The traditional data manipulation techniques require the writing of complicated codes in languages such as SQL, Python, or R. As much as these techniques are pretty accurate and extensive in their output, they require a level of technical skill and experience that may be missing from most business users. This dependence on extremely hard-to-understand and use tools results in issues such as delays, inefficiencies, and high expenses as organizations have to source technical skills or depend on the IT staff. The Emergence of No-Code Business Intelligence Tools Due to the growing need for easy data manipulation, no-code Business Intelligence (BI) tools have emerged. Most of these tools are developed to be easy to use to enable non-technical users to perform data tasks easily. No-code BI software allows business users to do complicated operations on data without coding. This democratization of data access enables the teams to work mo...