Database Management
Since false positives have negative consequences on organizations, many businesses have begun installing technology that automates the acceptance or rejection of enriched data without knowing the complex structure provided by the algorithms.
We always believe in giving 100% hand curated data to eliminate the false-positives on over 150+ data points in the B2B data arena in order to reduce the friction generated by these errors
What is Data Enrichment? Everything You Need to Know
Data enrichment refers to the process of supplementing an existing dataset with information from other sources. Any B2B data aggregator’s performance depends on maintaining a clean, complete, valid, improved, and accurate database.
Data augmentation techniques, as well as data verification and validation technology, have advanced, making the process easier. Any data enrichment effort, however, may fail to meet its objectives if it lacks expertise and a thorough understanding of the difficulties and solutions.
- Data Validation
- Data validation is the process of ensuring that the data obtained is clean, accurate, and reliable for certain purposes. It is a set of techniques and tools for verifying, preparing and transforming raw data into consistent, usable information.
- Email Validation – There is a way to determine the perfect email address for C-Level executives in the current or transferred organization.
- Contact Number Validation – Additional information such as company name, industry, and location can be added to contact numbers to extend the data structure and improve validation accuracy.
- DM Sourcing & Validation – Once data is collected, we use strong standardization techniques to ensure formatting and structure are consistent. This includes correcting errors in company names, addresses, contact information, and other key data points to preserve data integrity and reliability
- Business Insights Validation – We use certified and rich corporate data to extract useful insights and data through advanced analytics and visualization techniques.
- Address Validation – To maintain accurate and current address data, address verification is an ongoing process that requires constant monitoring and maintenance. This includes routine validation checks, data cleansing, and updating reference databases.
- Different data handling activities that require data cleaning:
- Data validation testing ensures that your data retains its integrity and quality during changes and transport from its original source to its destination Data validation testing uses rules and tests to verify if the data meets standards defined and for business requirements, thus eliminating data quality concerns and processing time.
- Validity – The information must not be out of date.
- Accuracy – Information must be current and closely aligned with its actual worth.
- Completeness – There should be no missing information in the data.
- Consistency – Data needs to be formatted consistently.
- Uniqueness – There shouldn’t be any duplicate entries in the data.
