Business Intelligence

Retailers, banks, and financial services firms, in particular, have made large investments in business intelligence product suites. The systems were purchased to help uncover customer trends, product development opportunities, and market gaps. Business intelligence solutions are complex, however, and companies have found that they need a great deal of support to manage and optimize. Excel has extensive experience in running and maximizing the major business intelligence solutions from vendors such as Cognos, BRIO, Microstrategy, Informatica, Hyperion, SAS, Information Builders, Business Objects, Applix, and Oracle.

Data Warehousing

Data warehousing is commonly used by businesses to analyze trends over time. In other words, companies may very well use data warehousing to visualize day-to-day operations, but its primary function is to facilitate strategic planning resulting from long-term data insights. From these overviews, business models, forecasts and other reports and projections can be built. Retailers, for example, can use data warehouses to uncover trends in spend, store traffic, product line, and other variables that will lead to smarter business decisions about what to sell, to whom and where Similar benefits also apply to manufacturers and carriers.

Building a data warehouse is essential for businesses in competitive industries. Data warehouses must be flexible and scalable to support millions of terabytes. Users should have quick and easy access to data to analyze trends and react quickly when opportunities arise.

Excel has extensive experience in designing, deploying and managing data warehouses for various industries. With significant domain and technology expertise, Excel helps create and manage data warehouses that can help uncover new customer opportunities and optimize end customer relationships.

Excel takes a strong pragmatic approach to design, deploy and manage a successful data warehouse and business intelligence strategy.

Le processus est:

Strategy development and review

Focuses around the strategic and tactical objectives of the organization, what each division needs, and data acquisition opportunities.

Logical and physical architecture design for decision support environments

This is based around building a consistent, useful repository. Excel ensures that the server platform elements, middleware, and client tools all fit in with the existing infrastructure.

Review all possible failure points and create a contingency plan

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