The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
These seven benchmarking statistics are drawn from a recent research titled "Search and Discovery: Exploiting Knowledge, Minimizing Risk." We surveyed 415 information professionals from organizations of all sizes. Larger organizations over 5,000 employees represent 30%, and mid-sized organizations of 500 to 5,000 employees 35%. Small-to-mid sized organizations with 10 to 500 employees constitute 35%. 67% of the participants are from North America, and 18% from Europe.
Share
Enterprise Search is a key part of helping you solve your organization’s biggest information-related problems and plan for its future. In this post, we’ve included five video sessions from AIIM’s Certified Information Professional preparatory series covering everything you need to know about Enterprise Search.
Share
Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.
With the explosion of content in the enterprise, findability has become a major concern for most organizations. Tens of millions of documents can be scattered between multiple file systems, databases and content management applications. Each application has a different access method and no common interface exists for a user who needs a piece of knowledge to get their job done. Putting all of this content in a common location and providing an interface to find this data is the job of enterprise search.
Share
Enterprise Content Management (ECM) | Enterprise Search | Metadata
1. No One Wants Unfettered Information Unless your IT budgets are growing faster than your enterprise content volumes, you need an approach to manage, surface, and control information that does not mandate adding more storage, staff, or restrictions. The systems responsible for content understand nothing about the subject or domain of information under their management. Search engines, content management systems, process engines are all blind to meaning and context. In real life, the meaning of a piece of information determines its usefulness, relevance, and treatment. Semantics add a layer of intelligence by describing what the content is about, using structured data – a.k.a. metadata. Metadata can be used to drive workflows, archiving policy, search, compliance, access control, and discovery.
Share
Analytics | Enterprise Content Management (ECM) | Enterprise Search
The term "Content Analytics" has been coined to cover a range of advanced search and content reporting technologies. In our new Industry Watch survey, we found that organizations could derive much higher business value from content analytics tools than from simple search-engines. Sophisticated content reporting across text documents and rich media file-types have created the opportunity to report and research across unstructured content, bringing the same capabilities of strategic insight and improved decision-making as Business Intelligence (BI) reporting brings to structured content.
Share
Search engines have come a long way in their ability to help users find desired information among electronic content within an enterprise. Technologies vary, but no matter the search method, all kinds of searches can be enhanced if a taxonomy is also brought into play. Regardless of how content is indexed (simple crawling, concept extraction, use of algorithms, use of rule sets, etc.), taxonomies can enhance the search, by boosting accuracy in retrieval results and by improving the user experience. More specifically, a taxonomy can support search in the following eight ways.
Share
