Creating a shared environment to report and analyze across departmental silos, combining data from multiple sources into an integrated data set and establishing a single source of truth of trusted information is key to building a data warehouse or data mart. BIFACT has following datawarehouse practices:

  • ETL Architecture: The BIFACT ETL architects charge forward, creating the detail design (source-to-target mappings) for each of the processes, creating a stable, timely, maintainable and extensible framework for converging like, but disparate, data sources into homogenized entities.
  • Data Modeling: Key special requirements of the data warehouse focus on time, location, and dimensional aspects of data. BIFACT uses analytical & dimensional modelling technique so that data model consider data size and complexity; query composition and complexity; query load; and query concurrency.
  • ETL Development: Every ETL tool has limitations and requires hybrid methodology to get data from disparate system to staging and data warehouse. BIFACT provides consultants who have knowledge of various tools to optimize your development time.
  • Quality Management & Audit: BIFACT provides services to audit the source system and define a quality process to ensure that accurate data goes into your data warehouse after transformation.
  • Tools: Informatica, Oracle Warehouse Builder (OWB), SAP Data Services,SQL Server Integration Services (SSIS)
  • NAICS:541511, 541512, 541513, 541519, 541612, 541611, 511210, 561330