We support clients in acquiring various types of data from internal and external sources like Veeva, HMS, IMS and WK, and then load it into the data management framework using client’s standard data loading methods including direct access, messaging queue, web services and secure FTP and file watchers.
We provide modelling services for various data management solutions to ensure the data is presented in the right context to improve usability for end users. We also support mapping the source data to the target data model, keeping ETL architecture in scope.
Our expertise in complex data integration tools allows us to integrate data from different sources based on whether the source data and target scheme are structured or unstructured. We bring industry standard best practices, key principles of data management and integration architecture into our solutions.
We provide data profiling services during several stages of the data management lifecycle. Data profiling services during onboarding helps confirm the scope of the solution and reduces the risk of incomplete data, while ongoing profiling will help evaluate the quality of existing data and prepare or validate metadata.
Data Warehouse and Master Data Management for Sales and Marketing Operations
We built a flexible and scalable commercial data warehouse and MDM system that integrated third party address validation and standardization solutions, we integrated various data sources and built complete audit trail to support the client’s highly regulated business.
Built Compliant Data Management Solution for World’s Leading Biotech Company
In order to help them comply with the Sunshine Act and submit accurate spend data, we created and deployed a knowledge bank and maker checker processes. We also used a master data management tool, data stewardship processes and appropriate secondary research activities on the National Provider Identifier and State License Boards to control data subjectivity.
Data Modeling for Accounting Warehouse
The client wanted to develop a standardized, multicurrency, multi-country accounting system. We took a phased approach to consolidate the accounting data from all the geographies. The project consisted of gathering business needs, map & gap analysis, development of the physical & logical data model, design of the business rules & finally the mapping.