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)
