Business Intelligence Google Business intelligence is effectively the juncture point for connecting the interactivity universe with the vast amount of usable, real-time data that is now captured by the Internet. Estimates are that the digital capacity of this resource is growing at a rate of 30% annually, and yet for the most part few business interests are capable of handling such an opportunity (Cultureofperformance, 2010). Google and other forward-planning companies have

Customer centricity then can also have a significant impact on the perspective an organization has of its market and the opportunities inherent within it and other, tangential and territory market areas as well. This aspect of blue ocean strategies being driven by customer's perspectives, preferences, unmet needs and wants further underscores its inherent value and also its usefulness from a strategy perspective. The ability to find uncontested markets, which

As has been mentioned throughout this thesis, the entire aspect of mass customization as it relates to the development of a stable quote-to-order process throughout manufacturing is critical. In this specific area is where many manufacturers face the dilemma of being entirely project-based in their manufacturing and business strategy approach or move more towards functional manufacturing with the exception being mass customization and a more fluid, agile, quote-to-order process. Figure

Technology: Customer Relationship Management The lifeblood of any business are its customer relationships and the lifetime value of customers from one product or service generation to the next. As cost and time pressures impact a business however they often resort to dealing with customers on transactions only, not investing the time in fully understanding their needs. As the text and course have shown, the integration of technologies into customer relationship strategies

The results of this effort needs to be shared electronically online to ensure everyone is kept informed about its progress. Memo: With the data warehouse project entering the requirements definition phase, it's important to start setting the foundation for users across the network of retail stores to begin having ownership of the new system. Getting them interested in the new data warehouse, and to take ownership of it will require getting

This level of the maturity model is a transitory one and is focused more on either small, incremental gains from the first level, which is Reacting. In the Reacting layer of this proposed Branding Maturity Model, the majority of brand departments have a decidedly "every department for itself" approach to process maturity and have information flow that is purely dependent on personal productivity applications only. That is to say