VARS Consulting offers a broad spectrum of data management solutions that provide clients with the necessary insight into the volumes of data and empower them with valuable insights. To stay ahead of the competition this data can be used to make the right decisions at the right time.
An organization’s information and data are among one of the most important assets, and so we are committed to maintaining high security and confidentiality. Our Data Management services consolidate data to manage, retrieve, and maintain in a way that is easy. We cater to medium and large-scale businesses across all major industries in the USA, UK, India, and other European countries.
Mergers, acquisitions, and new developments in technology need data conversion to synchronize several processes and challenges. Also, downstream data processing applications such as mailings, financial systems, order processing, or other data mining tools use data captured in custom utilities.
VARS Consulting handles different data formats not just limited to the below:
- Paper document to computer ready files
- Magnetic tapes to CD
- TIFF files to paper documents and PDF
- Paper Documents/scanned images to MS Word
- Scanned paper reports/images to Excel
- Images to XHTML
Having successfully executed several data management projects, providing a hassle-free outsourcing experience for our customers is our key strength.
Our data cleansing service starts with understanding the current state of the data to discover what needs to be cleansed and standardized. Then a series of automated and manual steps are applied to complete the normalization and cleansing process.
VARS Consulting offers a complete range of data cleansing and normalization services by adopting industry best practices. Some of the operations include:
- Data normalization to eliminate data redundancy
- Identify and remove duplicates
- Standardize inconsistent data formats
- One-to-many and many-to-many relationships
VARS Consulting provide data enrichment services that involve mining content from various sources. Applying RDBMS and other data management principles we collect all possible key data elements to generate meaningful insights and relationships from the raw data.