Enterprise-Level Search addresses the challenges of turning large data resources amassed by an organization in hundreds of file formats, and on disparate platforms and systems, into usable information and highlights the solutions and methodologies for searching, finding and extracting value from departmental and enterprise-wide information. The types of information to be made searchable within an enterprise include (1) structured – Relational Databases, (2) unstructured – File systems, Email, and Web pages and, (3) semi-structured - XML.

Enterprise-Level Search should allow businesses to connect the dots between information assets spread across the multiple data silos, which include not only human resources, accounting, finance, sales, marketing, and R&D, but also across data types such as email, voice, and audio.  They need to do all of this while maintaining security and access rights to all information.

Enterprise Search and Information Access provide a clear competitive advantage to organizations for:

Keyword Search

Search engines look for keywords in the title, synopsis or abstract, body of a document, or the meta-tag (i.e., “data about data”) section. A program “crawls” through the subject document, and each instance of a keyword is put into an indexing database that describes how many times it found that particular word, and where that word was located within the paragraph, page or document.

Conceptual Search

Built on a unique pattern-recognition technology, search engines enable a manual or fully automated precise means of matching and identifying the similarity of pieces of information.

Content Classification, Categorization

The categorization features allows customers to precisely derive categories using concepts found within unstructured text. This ensures that all data is classified in the correct context

Clustering

Based on the actual content of the documents, many search engines form “virtual piles” where data from various sources are grouped together without the need for manual tags or manual taxonomies.

Taxonomy Management

The taxonomy generation feature allows users to see the spread and type of information. Most search engines understand and create deep hierarchical contextual taxonomies of information based on conceptual understanding.

e-Discovery (electronic discovery)

From a technologist’s perspective, search is conducted across structured and unstructured information. Structured information is the data residing in clearly delineated databases and easily retrieved, but constituting a mere 20% of an enterprise's data.  The other 80% is unstructured information such as email, instant messages, voicemail, audio, and video – data that exists outside of a database.  The challenge for corporations is how to decipher meaning, and ultimately, value from this information.

• Gemini Systems' Search & Information Practice
• intelligent Instant Messaging
• Search Tools & Technologies
• The Promise of UIMA

For more information on Gemini Systems and our Search and Information Access practice please contact us.