Understand user intent to lead relevant search results
Enterprise search tools have become incredibly helpful for organizations that manage large amounts of data because they dramatically increase company productivity and internal coordination. While they are strong in this regard, they do lack the powerful capabilities of semantic search, such as understanding the user intent and the contextual meaning of terms.
The biggest challenges for organizations who haven’t upgraded to semantic search tools.
Difficult to analyze because it lacks a defined or organized data model, unstructured data makes up roughly 80 to 90 percent of organizations’ data. The usual text documents, emails, social media activity, etc. that organizations primarily work with are incredibly difficult for common search engines to sift through.
Metadata – the tags attached to specific documents to categorize them for search – is usually set manually and then forgotten. Later on, when someone needs those documents for a project, they either can’t find them or must manually update the metadata so that enterprise search can properly index the file. Inaccurate metadata creates large enterprise search challenges, wasting time and resources.
Webinar: Agile Taxonomy Management for Customer Satisfaction.
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The biggest changes organizations can leverage with PoolParty’s semantic search.
The power of semantic search lies in its ability to take user intent and meaning into account, leading to more meaningful results. It fetches results that match the meaning of a user query instead of focusing exclusively on the exact words and phrases. If a user enters the term “developer,” for example, the semantic search tool knows to also produce results for related concepts like “programmer,” “software engineer,” etc. Information is easily extracted from unorganized data by linking meaning together – something that is next to impossible using keyword search alone.
Experience the major benefits of semantic search with PoolParty Semantic Suite today.
Relevant results in less time
When data comes from varied unstructured sources, such as email, social media, documents, and PDFs, semantic search can deliver relevant results to users and reveal information they would not find otherwise. Organizations deal primarily with unstructured data, meaning they can really benefit from this approach.
Enhanced user experience
A semantic search platform enhances user experience as it understands user intent and fetches results that are relevant to the user’s query. The user gets access to results and information that they would not be able to find with a keyword-based search. For example, the end-user’s language can be precisely and automatically mapped to the jargon of technicians, marketers, or doctors.
Businesses need to leverage data for key insights. Information “hidden” in unstructured data can be strategic for decision-making that fuels business growth. A semantic search engine combines data from multiple sources, linking structured with unstructured data to create 360-degree views to gain insights that help businesses succeed. Decision makers thus gain a more comprehensive and accurate picture of all business objects and processes.
Watch the webinar with our customer Insider Intelligence to learn how they improved search with agile taxonomy management
Not in the mood to watch a webinar? Read the success story here!