THE CHALLENGE: FINDING RELEVANT SEARCH RESULTS

Imagine if you could search for information without knowing if, or where, it exists.

The information we need in business comes in many formats—emails, articles, memos, printed letters, web pages. While searching so many different forms of communication has been a challenge for virtually every industry, government, security, legal and financial. Industries face this daunting task every day while working under extreme time constraints. The ability to search for information in any form, in any language and get results based on relevance to the concept searched, rather than key words is what Content Analyst delivers. It’s like a Conceptual Search.

THE SOLUTION: CONTENT ANALYST

Content Analyst is like a Conceptual Search.
Everybody knows how to search for information. In any search engine, just type a few key words into the search window and tens of thousands of results are likely to appear. In Microsoft applications, it’s a drop-down “Edit” selection called “Find” that delivers results based on key word matches.
Our difference? We provide the ability to navigate both structured and unstructured data to get to the information quickly without sorting through a sea of irrelevant results.

Solutions in Action:
Spam®, spam, and “I don’t even Like Spam”

Life before Content Analyst
Assume you had a legal case that required some “market information” on email spamming. Undoubtedly, there are tons of public information readily available on this subject. The tools you have available to search those public archives, however, return results based on the frequency” of the word “spam,” and can’t account for things like Hormel canned luncheon meat or Monty Python comedy sketches. The only way around this is to perform multiple searches, and keep remembering the search strings, as you try to go after more significant information. Your billing for research will be astronomical, and your researchers will be frazzled from the time wasted sorting through irrelevant results under a short time constraint.

Using Content Analyst
Let’s take that public archive of over two million pages; and allow Content Analyst to simply index the information in a batch scanning process. Afterwards, searches are accessed via a simple window into Content Analyst – it runs as a web services application.

Life after Content Analyst
You can now find in one afternoon what it would have taken two assistants two weeks to find previously. Your profit margins increase and you still beat the client’s deadline for eDiscovery. Secondly, you find almost 5% more responsive documents using Concept Search than you did previously.