New technology is now making its way to the corporate domain to help execute an enterprise search strategy. It started in the consumer market and has become a staple of the American way of life; it is the search engine. Corporations are going to require their own version in order to survive and to overcome data fatigue.
The Enterprise Search offers:
Agility - implement less structured sales processes with the ability to respond to open product-architectures.
Universal search - allow searches for anything by anyone at anytime. A centralized search engine provides a single point of entry for all relationship and enterprise searches.
Intuitive in nature – the user need not know the workings of a particular application in order to access relevant information from the host systems.
Hidden business value – provide knowledge workers with the ability to look for undiscovered gaps in service by accessing the entire relationship without boundaries.
Personalization – one major difference between consumer searches conducted on the World Wide Web and internal searches conducted by employees is that consumers and their intent remain anonymous while employees are well-know. This allows the enterprise search to weight the potential needs of the internal user, improving the relevancy of the results.
Continuous improvement – matches the author’s thoughts with the searcher’s intent using a well-defined feedback loop for process improvement and search refinement. Tracking the search usage allows management to watch search patterns develop then adjust priority of future search results.
Context sensitive – direct links to the appropriate host application or data repository is provided by clicking on a search result item. The search engine maintains cross-references within the meta-data that provides links back to the underlying source material. Within the meta-layer resides domain information to direct the transfer of control to the host system.
Search abstract – the search engine provides an abstract of the underlying data to supply knowledge workers with enough content so that they can interpret the results for themselves. As subject matter experts, they are better qualified to determine the relevancy within their line of work since they know the specific intent of their research effort in the first place – they make the data informative.
Data organization – summarizes and prioritizes search results based on relevance with respect to the user and the client alike. Corporate information also has known properties denoted by the source application that is then applied when presenting search results back to a particular user type.
Responsiveness – the lights should not dim when the user clicks to search for something, data must be accessed through known indexes or pre-processed data from within the stored results to optimize response times. Only when necessary, realtime, on demand data is accessed to fulfill search requirements.
Security & visibility – as the search offers more open accessibility and visibility of information from across the enterprise, corporate privacy rules need to be applied. The search must scrub results removing unwarranted data in order to enforce compliance and security policies, based on user privileges, roles, departments, and geographies. Connectivity to underlying information and supporting systems also poses a risk that follows the same security rules.