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Enterprise Search

Buyers' Guide

LucidWorks Big Data available Posted November 26, 2012

Coveo and Sitecore renew partnership for customer experience Posted November 19, 2012

Better organization, search and business insights Posted November 19, 2012

Metalogix introduces Content Matrix 6.0 Posted November 05, 2012

Revelant individual patients information Posted November 05, 2012

Ensures fully searchable backend systems withinin SharePoint Posted October 31, 2012

Early recognition, sensitive data assessment Posted October 29, 2012

Also available for Office 365 Posted October 24, 2012

Unveils new version of Text Miner Posted October 09, 2012

Consistent keyword extraction Posted October 05, 2012

"The bring-your-own-device model for work has added to the storage problem because work and personal services are becoming interwoven..." Posted September 29, 2012

Advanced enterprise indexing Posted September 10, 2012

"This marks the tenth anniversary of our Trend-Setting Products list..." Posted September 01, 2012

Enterprise application software solutions Posted August 13, 2012

Semantic metadata generation, auto-classification, taxonomy management Posted August 06, 2012

Redmond wants to focus on individual users, with the moniker, "The new way to work together." Posted July 30, 2012

Concept Searching and Triune Group collaborate Posted July 09, 2012

If you want to make knowledge management work for your agents, rather than the reverse, take a look at what's really going on as customer interactions unfold in the contact center. At KANA, we've seen how agents search for answers. And actually, we're very impressed by what some agents do to compensate for the insufficiencies of their KM tools. Unfortunately, these acrobatics are a sure sign that your search engine is stalling—a direct path to inconsistent service. . . . Posted July 09, 2012

"Seek and ye shall find..." Yeah, right. Maybe about half the time, if you're lucky. A recent MindMetre research report surveyed approximately 2,000 business directors and managers from all over the world. Their key conclusion? More than half (52%) said they "cannot find the information they are seeking using their own organization's enterprise search facility," within a reasonable amount of time. Posted July 01, 2012

Releases Version 9.0 of Katalyst platform Posted June 27, 2012

Decisiv Search-based application Posted June 20, 2012

LucidWorks Cloud engineered for scalable search applications Posted June 11, 2012

Semantic analysis of unstructured data, big data management Posted June 05, 2012

Concept Searching's framework for e-discovery, forensics suite Posted June 04, 2012

Enhancing TotalView applications for SharePoint Posted May 24, 2012

New LucidWorks platform in beta Posted May 10, 2012

Designed for expanding environments Posted May 08, 2012

Uniting Active Intelligence Engine and QlikView Posted May 03, 2012

Enterprise search is a touchy-feely service. If you have interviewed potential users of an enterprise information system, you probably have heard, "I prefer a system that works just like Google" or, "I want the system to provide just the information I need." Those types of statements make clear that search is a subjective concept. When search engine expert Steve Arnold expressed his concern with traditional surveys, a colleague suggested that he check in with Dr. Linda McIsaac, whose work involves a next-generation method of determining employee preferences. He asked McIsaac if she would update him on her methods for obtaining statistically valid data about an individual's or a group's preferences. Her company is Xyte, which uses her method described as "human behavior technology." Her work makes it possible to predict employee behavior and translate it into tangible business results. The Xyte approach, according to the company's Web site, is grounded in neuroscience and psychology. In this article, Arnold provides a review. Posted April 29, 2012

Q-Sensei releases Version 2.0 Posted April 26, 2012

We are well aware of the productive gains with faster search. The new frontier is to improve the quality and insights from search, achieved from integration of search with analytics.
Enterprise solutions are well practiced at extracting information from structured data. Search is designed to aggregate unstructured information from keywords and a wide variety of sources like emails, social blogs, etc. Merging structured stores with unstructured text derives meaningful, relevant summarizations as well as new insights. Analytics dissolves the barrier, providing integration founded on the data content itself—driving more complete and accurate intelligence for business users. . . .
Posted April 23, 2012

It is a true, yet frequently repeated, cliché to say that we are living in an age of total data overload. Individuals and businesses seem to be on a never-ending search to dig through this data to find meaningful information. Struggling with multiple silos of data, dealing with structured and unstructured sources, understanding their contents and finding and correlating data all remain key priorities. Today, most businesses constrain themselves to search along a single dimension or rely on keyword or pattern-based full text search.
A new chapter is emerging in search—turning the data overload into a mother lode of opportunities in boundless search for real information. . . .
Posted April 23, 2012

Search is a conversation. If you ask me a question and I don't understand, I can ask you for more information. With time you learn more about my interests, and can give better answers. Well-designed, intelligent search systems can do the same. We can facilitate this dialog by addressing three critical requirements for effective search. These are:
1. Search needs to feel like navigation;
2. Search needs to be personal; and
3. Search needs to be adaptive, improving over time. . . .
Posted April 23, 2012

Done right, KM can deliver tremendous value to customer service and support. Yet for all the benefits, the software category is marked by confusion—many very different solutions purport to be "KM." Knowledge is in people's heads, and it's hard to capture, even assuming they wanted to share. Knowledge is scattered in many places; it can be stale, and hard to find. To address these challenges, KM tools need to provide one-stop shopping for answers, wherever they are. Capturing knowledge must be easy. And managers need analytics to continually improve the knowledgebase and team performance. Different solution categories take very different approaches to these requirements. . . . Posted April 23, 2012

"Seek and ye shall find..." Yeah, right. Maybe about half the time, if you're lucky. It's true that most searches end in failure. And what's even more troubling is that the person making the search may never know that it was a failure. Let's say: A hypothetical knowledge worker enters a search query. May be a good one; may be a vague one. Doesn't (and shouldn't) matter. Then that person gets a results page. There is a long list of possible answers to his query, and there might even be some interesting stuff on it.
But the nagging doubt comes from "not knowing what you don't know"...
Posted April 23, 2012

Full Implementation, maintenance and support services Posted April 16, 2012

The U.S. Army Medical Command (MEDCOM) has selected a new software solution, Concept Searching's Smart Content Framework, to support its enterprise collaboration initiative. Posted April 16, 2012
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