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 Business Intelligence (BI) refers to the practice of aggregating, assimilating, cleansing, analyzing, and presenting business information. Because the collection of enterprise data provides 'corporate memory' and mission-critical corporate insight, organizations rely on Business Intelligence techniques and tools to mine their data and support better business decision making.
CyberData is focused on Business Intelligence and we are staffed with experts in all facets of BI system development and deployment activities. Business Intelligence often uses a variety of tools and resources to build a methodology for educated and successful business decisions, such as:
- Data Warehousing - An enterprise data warehouse is a centralized data store that encompasses and aggregates many data sources within one single arena. The purpose of an enterprise data warehouse effort is to collect data from disparate data sources that have been transformed, cleansed and reformatted for consolidating corporate information across a wide range of subject areas.
- ETL Processing - Data warehouse projects use ETL (Extract, Transform, and Load) processes to move and manipulate data from Operational Data Stores to warehouse data marts for presentation. Because most organizations have numerous IT systems that serve different subject areas of the business, it is vitally important to develop a common, repeatable process for aggregating and assimilating large volumes of data from disparate systems. This process for ETL aggregation of data is a crucial piece of a successful data warehouse implementation.
- Business Intelligence Reporting - Many organizations have redundant reporting tools that retrieve key performance indicators (KPIs) from different enterprise data stores and stove-pipe applications. Often, the technological disparity at the database and reporting tools layers leads to discrepancy of enterprise level information reporting -- different systems and reports yield inconsistent results based on duplicative and/or contradictory data and business-rule algorithms across systems. In order for the 'corporate memory' to be trusted, a clean and well organized BI strategy must be employed to centralize information and provide useable metrics to define and measure progress toward organizational goals.
CyberData has accumulated unrivaled expertise in the storage, slicing and dicing, and mining of huge volumes of mission critical data. We are currently managing many development efforts utilizing major BI enterprise information management software tool suites, including Business Objects, Oracle Business Intelligence (Siebel Analytics), Cognos, and SAP. |
