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AI-based Data Quality Center
Project duration: 2 years, 3 months
Brief description
Data quality is key for business success. As a database grows it often contains duplicates and incomplete data. Among other things, this leads to lower productivity. A Data Cleansing Module cleanses duplicates automatically, even for large data sets, with optional manual control. A Data Enrichment Module enriches data by using AI and supports the user in manually creating data records.
Supplement
An AI-based platform provides various micro-services, which offer functions for data cleansing and data enrichment. These functions can be connected to various CRM systems using a generic REST service developed for this purpose. A connection to Salesforce CRM with Lightning components was implemented as a proof of concept.
Subject description
The AI-based Data Quality Center ensures a high validity of the cleansed and enriched data. It saves time by providing a seamless user experience for data acquisition directly in the CRM for further processing in the sales process and automatic research support.
IT project data
- Industries information technology
- Specialist tasks quality assurance
- DP tasks Prototyping
- System environments Cloud Computing, Middleware, standard software: CRM systems
- Procedure model iterative procedure
- Programming languages Apex Salesforce, C-Sharp, Java Script
- Development and test tool .NET Core, MS Visual Studio, MS Visual Studio Code
- Middleware and frameworks RESTful Webservices, Salesforce Lightning Web Components
Project period01.12.2018 - 15.02.2021
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