Most data comes with issues like gaps, duplicates, missing values and other inconsistencies. Before data can be used, it needs to be verified, cleaned and made to conform to the acceptable standards of our clients. Our team helps to ensure that data cleansing and enrichment is a continuous, dynamic process rather than a one-time incidence so as to ensure accuracy at any given point in time.
As one of the leading data cleansing service providers, Vibrantprovides clean, consistent and up-to-date data. The professionals convert data into desired format, delete obsolete entries, index in assigned fields, perform RI checks, cleanse mailing lists, and more. We offer customized data cleansing and formatting services, data migration services, address cleansing services, CRM data cleansing services, and B2B data cleansing services at cost-effective rates. Every record is checked manually, cleaned, and updated at systematic intervals. Our data migration services aim to provide you a glitch-free experience.
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We conduct constant checks at regular intervals for the data formatted and information present in your databases to keep a check on its hygiene and integrity
Through our data formatting services, we help clients in formatting specific sets of information or converting them from one form to another. The formats in which we provide data are hard copies (CDs/DVDs, Database extracts (texts), excel sheets, MS office, PDF documents, emails, HTML, etc.
We help you ensure uniformity regarding typos, spelling errors, missing information such as postal codes, dialing codes and e-mail IDs by manually checking every entry. We also check for duplicate records and format data as per your business requirements.
Standardization in data cleansing is crucial for maintaining consistency and accuracy across various datasets. It involves formatting data uniformly according to predefined rules or standards. For example, standardizing addresses ensures that they follow a consistent format, regardless of how they were originally inputted.
De-duplication is a critical process in data management aimed at identifying and eliminating duplicate records within datasets. By removing redundant entries, organizations can ensure data accuracy, improve efficiency, and avoid inconsistencies in analysis or operations. This process enhances the reliability of databases and optimizes resource utilization.
Validation is integral to data quality assurance, verifying the accuracy and integrity of information through predefined rules or external sources. By confirming the correctness of data, organizations can minimize errors, enhance decision-making, and improve operational efficiency. Validation ensures that data is reliable and trustworthy for various business processes and analyses.
Enrichment involves enhancing existing data by adding supplementary information from external sources, such as demographic data or social media profiles. This process enhances the depth and usefulness of datasets, enabling more informed decision-making and targeted marketing strategies. Enrichment enriches the understanding of customer behavior and preferences, ultimately improving business outcomes.
Normalization is the process of organizing data to minimize redundancy and dependency, ensuring consistency and efficiency in database management. By standardizing data formats and structures, normalization facilitates accurate analysis, improves data integrity, and supports scalability in information systems. This method enhances data reliability and simplifies data retrieval and manipulation tasks.
