Introduction
In today’s data-driven world, quality has become of utmost importance. We see this in our daily lives too– the frustration that you might feel when the GPS takes you around the same spot repeatedly and your fellow passengers chorus “We’ve been through here at least four times!” Or your phone glitching and randomly removing important contacts off of your phone without any warning. Suddenly you don’t know who is texting you! Data is all around us, and its smooth functioning is now essential to all of our lives.
For bigger companies who deal with data at a huge scale, this quality-control becomes paramount. This is where they entrust companies such as dataX.ai with their data, where we ensure its standardization, organization, and much more.
- Data Validation: We validate our clients’ data and identify any inconsistencies or gaps that might require further attention.
- Breaking Down Silos: This ensures that isolated and fragmented data is unified and standardized effectively in the target format.
- Data De-duplication: Bulk data is often riddled with duplicates, which can be detrimental to a company’s database and related decisions. We merge these duplicates through attribute-matching, and eliminate repetition of data.
- Category Validation: Through this, we organize our clients’ product taxonomy such that it is in line with the industry standards, which also ensures a structured catalog.
- Data Normalization: We consolidate variations across our clients’ catalog to normalize all attributes into consistent terms.
- Data Standardization: Standardizing data results in search accuracy, easier accessibility and understanding of data, which are essential attributes for companies to make larger discussions around pricing, discounts, etc.
- Continuous Monitoring: We provide continuous monitoring of data, which helps it stay up-to-date and aligned with our clients’ business requirements.
- Error Correction: Our model corrects any errors or discrepancies in the data efficiently, while saving time and manual effort.
dataX.ai, therefore, ensures well-rounded services that are all aimed at keeping our clients’ data clean, structured, and reliable.
