As analytics, machine learning, social media feeds and high-powered, user-friendly platforms like Google transform the way we find and use information, the phrase "enterprise search" may elicit yawns. But there is no point in saving your data in a content management system if you can't find it. So locating the right information at the time right time has become more critical than ever, and enterprises need to wake up and pay attention.
Fortunately, companies can start incorporating emerging technologies like content analytics, predictive coding and search-based applications to rev up enterprise search. This guide provides an overview of those trends and how they are affecting companies today.
Of course, most organizations have a long way to go before their enterprise search engine can produce intelligent results that help power business decision-making. We'll also explore the architecture that supports enterprise search, which starts with an understanding of the business problems that search can solve, a holistic view of content and -- as always -- a detailed metadata strategy.
1Enterprise search trends-
Why does enterprise search need to change?
As the volume of information at our fingertips has grown and changed forms, it's become increasingly difficult to quickly pick out the information needed for business operations, regulatory compliance and business intelligence. Effective enterprise search is more important than ever, but information silos and unstructured data are rendering some traditional approaches nearly useless. Companies are turning to new methods to efficiently find value in the growing mire of corporate information.
The primary obstacle to efficient enterprise search is disorganized, siloed information. While companies often try to combat silos by using ECM systems as centralized repositories, ECM can also act as middleware that bridges the gaps between different information repositories and applications. Continue Reading
Unstructured data is notoriously difficult to manage, but companies need to find the seeds of value hidden in their stores of unstructured data -- or risk being outgrown by the competition. The key is adding structure to this data to make it searchable and accessible. Continue Reading
Technologies like content analytics, predictive coding and intelligent search may help companies sift through massive volumes of information, but establishing and showing the return on investment can be tricky. Continue Reading
Search-based applications can help aggregate content from various sources, modernizing and streamlining the search process so that it not only improves efficiency but drives smarter business decisions. To benefit from SBAs, however, companies will need to start the arduous process of tagging, analyzing and categorizing their content. Continue Reading
The on-premises version of SharePoint 2013 search often fails to produce relevant search results. This issue gets at the core of the enterprise search problem -- yes, an enterprise search engine finds content, but is that content timely, useful and drawn from all the necessary sources? Continue Reading
2Search best practices-
Take a modern approach to enterprise search
While analytics and search-based applications may seem like beacons of hope, they're useless unless companies re-architect their information. Here's how to build a more powerful search that will spotlight the most relevant results.
ECM systems often don't deliver on their purported search benefits. And while technologies like analytics and search-based applications may seem like the solution to enterprise search woes, organizations need to start with a few basic building blocks to develop a search engine that delivers the right results at the right time. Continue Reading
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3Real-world examples -
Solving business problems with enterprise search
For most companies, building more efficient, useful enterprise search will be a long, complex process. Find out how some companies are embarking on that journey using new technologies, as well as new perspectives on old practices like tagging and categorization.
Sid Probstein of Attivio has been instrumental in developing search engine technologies that mine data for business-driven decision making. Continue Reading
The Adler Planetarium reveals that digital assets such as historic documents, photos and videos present a growing challenge for companies that are trying to make all enterprise content searchable and accessible. Continue Reading
Records managers need to be able to locate information amidst large volumes of structured and unstructured content, for a variety of business and regulatory reasons. Some companies are addressing the problem with data analytics. Continue Reading