shutterstock_1062915260.jpg

Data Services

The management and monitoring of vast quantities of data are one of the central challenges for banks in their efforts to battle cyber-crime. Banks feed data from a diverse set of sources into centralized monitoring systems. Global banks obtain customer and transaction data from various systems and maintaining the quality of data in terms of accuracy, timeliness and other factors can be quite difficult.

ComplyGenics offers high-quality business solutions by first assessing the needs of end-users and the current architecture of the system. Then, our business intelligence experts apply appropriate methods for design, planning, information management, performance optimization, implementation, and integration. Our goal is to enhance each client with smart and friendly user interfaces, effective training, and efficient documentation of their compliance data management.

ETL Architecture


Determine Data Warehouse ETL Architecture to be used to effectively migrate data from ultimate source to target




ETL Framework


Define overall Extract, Transform and Load (ETL) Strategy, relevant data sources, mappings and data transformations




ETL Development


Design and develop ETL packages to carry out data transformation and loads




Data Mapping


Map Source to Target data mappings including required transformations




Testing


Conduct appropriate functional and performance testing to identify bottlenecks and data quality issues




Data Modeling


Develop the Conceptual and Logical Data Models Transform the Logical Data Model into the Physical Model and DDLs




Data Governance


Organization, process and tools to effectively manage data as a business asset




Data Quality Assessment


Provide an overarching data quality assessment to prioritize and direct investments in enhancing data quality




Data Cleansing


Executing on data transformations and standardization to grow Data Quality




Data Retention Planning


Evaluating data retention requirements around analytic needs, availability of historic data, eDiscovery risk, etc.





Our Services:

ETL Architecture


Determine Data Warehouse ETL Architecture to be used to effectively migrate data from ultimate source to target




ETL Framework


Define overall Extract, Transform and Load (ETL) Strategy, relevant data sources, mappings and data transformations




ETL Development


Design and develop ETL packages to carry out data transformation and loads




Data Mapping


Map Source to Target data mappings including required transformations




Testing


Conduct appropriate functional and performance testing to identify bottlenecks and data quality issues




Data Modeling


Develop the Conceptual and Logical Data Models Transform the Logical Data Model into the Physical Model and DDLs




Data Governance


Organization, process and tools to effectively manage data as a business asset




Data Quality Assessment


Provide an overarching data quality assessment to prioritize and direct investments in enhancing data quality




Data Cleansing


Executing on data transformations and standardization to grow Data Quality




Data Retention Planning


Evaluating data retention requirements around analytic needs, availability of historic data, eDiscovery risk, etc.





Our Activities:

Contact Us

1100 Cornwall Rd. Ste. 205, Monmouth Junction NJ 08852

609-924-3400

  • LinkedIn
  • Facebook
  • Twitter

© 2020 by ComplyGenics