Warren, NY (PRWEB) July 08, 2015
Knowledgent, the data and analytics firm, today announced a new white paper that explores best practices for enterprise search and provides insight into how to avoid the typical pitfall of the five-year replacement cycle.
Companies across all industries need to understand that web search is a very different from enterprise search. On the web most content is the same type (such as html pages), there are a limited set of query operations supported, and there is new content all the time. In the enterprise, content is highly variable, there are a huge range of query operations, and content is actually added relatively slowly.
There is also a critical difference in data type. Enterprises depend very heavily on structured data, typically stored in a database in normalized form. Such data is not instantly consumable by a search engine, and preparing structured data for search can require significant work.
“One thing both worlds have in common is… change. Inside or outside the enterprise, what people are looking for doesn’t stay in one place. Maintaining search takes a sustained effort,” said Sid Probstein, Chief Informationist, Knowledgent. “This is well known to technology vendors, but it can be hard for buyers to solve. Thus, search in particular tends to follow a value-destroying five-year cycle of under-investment, disillusionment and finally… replacement.”
Titled, “Best Practices for Enterprise Search: Breaking the Five-Year Replacement Cycle,” this white paper explores this unfortunate cycle in detail - defining the various phases, what to expect in each, and how to justify the needed investments to avoid it, along with guidelines and best practices to ensure your choice of search solution provides value for a decade or more.
To download a complimentary copy of the white paper, visit knowledgent.com.
Knowledgent is an industry information consultancy that helps organizations transform their information into business results through data and analytics innovation. Our expertise seamlessly integrates industry experience, data analyst and scientist capabilities, and data architecture and engineering skills to uncover actionable insights. We have not only the technical knowledge to deliver game-changing solutions at all phases of development, but also the business acumen to evolve data initiatives from ideation to operationalization, ensuring that organizations realize the full value of their information. For more information, visit knowledgent.com.