17/10/2012 Computer - Multimedia Classes
Business Intelligence and DataWarehousing
The goal of a Business Intelligence Analytics solution is to transform enterprise data into meaningful information. CMT has built a successful BI Analytics practice by helping our clients align key performance indicators with their strategic goals and objectives. This alignment is what successfully transforms data into meaningful information. In order to stay competitive, businesses need a current, consistent and comprehensive view of the markets they serve, the products and services they offer, and the effectiveness of their processes and organizations. These are the goals served by a data warehousing initiative.
CMT built a successful data warehousing practice around assisting our clients in deploying cost beneficial, re-usable data architectures including:
• Operational Data Stores - A storage area that contains transactional, subject-area specific information.
• Data Warehouses - he consolidated storage area for the enterprise, providing a single version of the truth across all subject areas and business units.
• Data Marts - A subject-area specific storage area created as a summarization from the data warehouse to meet the performance or delivery requirements of an analytic solution.
Processes and Tools
Extraction, Transformation and Loading
Etl is a process of Extracting data from heterogenous database to loading data into heterogenous database. Tools specialized for ETL are Informatica, Data Stage, Oracle ware house builder, Abinitio etc.
Reporting and OLAP
Reporting is the process of generating report from data warehousing, in the process of assisting the business user for decision making purpose. Valuable tools for OLAP are Business Objects, Cognos, Reportnet, Microstrategy, Brio etc.
Data modelling is the process of designing the data warehouse. Erwin is the tool involved in designing the ER diagram for a data warehouse.
Dinesh B.E., MIS (USA)., OCM
91 9840496320 / 044-43511623
11 first street Padmanabha nagar,
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