Data Architecture Services

Data Architecture Services Overview
Data architecture considers and balances the potentially conflicting requirements of transaction systems, business intelligence, and reporting. To effectively manage data architecture components, enterprise-wide product standards need to be defined. These standards need to be binding to the whole enterprise and must not be redundant. Enterprise-wide asset management needs to be in place for the data Architecture component to enable resource sharing and to reduce equipment and operations costs.

As the data volume increases, data migration is necessary to move information from a transactional database to a data store or alternate storage device. Data storage usually represents the highest portion of an enterprise's hardware costs, yet the costs can be controlled with efficient storage and archiving schemes.

Our data architecture approach includes components that support the vision to improve data quality, productivity and operational efficiency as the organization grows. Jaggy has the expertise to help clients define and put into place the processes, people and technology to manage data effectively across its lifecycle.

Key Benefits

  • Effective resource sharing and reduced operational costs
  • Scalability
  • Improved productivity
  • Consistency through various data models
  • Align processes with resources
  • Standards-driven data modeling

Business Intelligence Data Architecture services
It is critical for a Business Intelligence solution to select a data architecture that fits organization's business objectives. Jaggy' business intelligence team can evaluate your business requirements and recommend best option for data architecture. This can be a customer-oriented Data Store, Data Mart or Data Warehouse

  • Operational Data Store: Operational Data Stores (ODS) integrate data from across traditional organizational and system boundaries to streamline transaction processing systems, rather than analytical environments (the focus of Data Marts and Data Warehouses). ODS solution provides consistent and consolidated data to an organization's strategic systems, significantly reducing duplicative data capture across the enterprise.
  • Data Mart: Data Mart enables ad hoc query of complex data. Facilitating this environment requires a highly intuitive set of data structures coupled with sophisticated analytical end-user tools. We'll recommend using data dimensional modeling where it makes sense, and build the data mart either as part of an overall Data Warehouse strategy or supply a new data mart from an existing Data Warehouse.
  • Data Warehouse: Data Warehouses are ideal for those who need a robust analytical environment that merges and integrates data from across traditional departmental and system boundaries.

Please contact us for additional information on Jaggy' Data Architecture services.