We at Berkshire Solution Ltd help enterprises with improve business models where each data make sense and maintain data history; Data Warehouse maintains a copy of information from the source transaction systems. This architectural complexity provides the opportunity to provide a single common data models for all the data of interest regardless of data source, by restructuring the data so that it make sense to the business users and delivers excellent query performance, even for complex analytic queries, without impacting the operational systems. Integrate data from multiple source systems, enabling a central view across the enterprise. This benefit is always valuable as it add values to operational business applications, CRM etc, also flagging or fixing the bad data.
The warehouse is distributed for load balancing, scalability, and higher availability. In such a distributed architecture, the metadata repository is usually replicated with each fragment of the warehouse, and the entire warehouse is administered centrally.
Enhanced Business Intelligence:
With an objective of providing a competitive advantage, we are focused on delivering business insight that originates from your source data. Our insistence in collecting this granular level source data and then presenting it in easy to use formats is what sets us apart. Source data is the foundation for informed decision support. Decisions that affect the strategy and operations of organizations will be based upon credible facts and will be backed up with evidence and actual organizational data.
Business Intelligence from Multiple Sources:
We use the transformation Join Data from Multiple Sources to join two different data sources with one or more common fields.
For our organizations, enterprise information systems are comprised of multiple subsystems, physically separated and built on different platforms. Moreover, merging data from multiple disparate data sources is a common need when conducting business intelligence. To solve this problem, the data warehouse performs integration of existing disparate data sources and makes them accessible in one place
Increased Query and System Performance:
Data warehouses are purposely designed and constructed with a focus on speed of data retrieval and analysis. Moreover, a data warehouse is designed for storing large volumes of data and being able to rapidly query the data
Enhanced Data Quality and Consistency:A data warehouse implementation typically includes the conversion of data from numerous source systems and data files and transformation of the disparate data into a common format. Data from the various business units and departments is standardized and the inconsistent nature of data from the unique source systems is removed.
Historical Intelligence:Data warehouses generally contain many years’ worth of data that can neither be stored within nor reported from a transactional system.Typically transactional systems satisfy most operating reporting requirements for a given time-period but without the inclusion of historical data.
Timely Access to Data:The data warehouse enables business users and decision makers to have access to data from many different sources as they need to have access to the data. Additionally, business users will spend little time in the data retrieval process.