How can a codeless platform improve data quality?

The Code-free data platform Bridges the gap between a company’s internal IT team and its front end business and operations teams, enabling any program user, even those with no coding knowledge, to extract accurate, real-time analytics data. These platforms typically have simple and user-friendly user interfaces, drag-and-drop and point-and-click capabilities, and features that optimize usage and increase deployment flexibility and reduce development time.

Data-driven, no-code technologies help front-end business teams and front-line operators build workflows, improve data analysis and prediction capabilities, build applications, and customize them to their own business needs and logic. As a result, front-line employees will use the programs they build more frequently as system users, creating the best digital outcomes and achieving the greatest business value.

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A data-driven codeless platform solves many pain points

How does a Code-free platform accelerate digitization?

Codeless platforms play a key role in data integration. For decades, every organization’s IT system has been an island with unique data naming, definition, measurement, quality, and standards. For example, in an enterprise resource planning (ERP) system, the item “revenue” might correspond to “turnover” in an accounting system or “sales” in a customer relationship management (CRM) system. However, these items all refer to the same data. Since there is no uniform naming and measurement standard, these data cannot be transferred between various systems, thus forming data silos.

This isolation can prevent front-end users from extracting information from data, obtaining timely and accurate analytics, and improving business insights. Most of the time, when business users try to provide insight, they encounter “errors” or inconsistencies.

Traditionally, in order to eliminate data isolation issues and make data available to front-end users, many SQL programmers have had to spend weeks or even months on ETL (extract-Transform-load) processes. Now, with some code-free platform-driven automated ETL solutions, machine automation can do this heavy lifting in a matter of hours.

Data-driven, enterprise-class no-code technologies can create an entire ecosystem. Organizations can migrate information from all legacy systems to a single code-free platform and place information generated across different types of applications and software under a single management system to better manage it. The integrated legacy system becomes the trunk, helping to generate an unlimited number of new applications and software, and generating more and more data feedback that feeds back into the trunk’s information pool, increasing the value of the company’s data assets and reducing human involvement.

As a result, all existing system data can communicate using a unified language, eliminating the barriers posed by data silos. Because the data foundation is built by an integrated data governance system that leverages a single data standard to manage all existing system data, it can effectively eliminate data silos – often one of the main reasons for digital failure.