Making company content accessible to employees is essential to increasing productivity and providing fast, accurate answers to customers. Maxcore Technologies allows you to find information in your company’s knowledge base by typing a simple question in natural language.
The enterprise search meaning is related to the possibility to search for information inside the company’s repositories and databases using an enterprise search engine. It is usually developed through enterprise search software, that allows employees to retrieve the knowledge they need to carry out their work.
We’ve seen how the concept of Enterprise Search has changed over time, from being a necessity for a few, to be a requirement for everyone. Enterprise Search, as we understand it today, is composed of a few fundamental features:
– content storage
– Content processing
– query processing
– Controlled access & ETC
After outlining the main Enterprise Search problems that companies face, let’s see how to solve them. At the base of all this is necessary a good Knowledge Management strategy in which the company is called to set guidelines on the creation and updating of content by employees, establishing how and when to do it. Only an up-to-date Knowledge Base will allow the answers to be found. Another key aspect, however, is the tools needed to ensure that this content can be easily queried and allows for quick, up-to-date answers.
Enterprise search software may go by several names, including cognitive search engine, insight engine, unified search, federated search (although for some, federated search may connote data warehouses and data lakes). However, for an enterprise search engine to become the primary search solution trusted across the organization, it needs to harness search technology that can scale across millions of documents, and multiple data types. The benefit of enterprise search is to provide digital workers with the most relevant information as quickly as possible. This helps improve proficiency, productivity, and employee satisfaction. It also can lead to greater profitability – as now critical customer-facing information can be found quickly.
When employees search, what they are looking for is usually buried in unstructured or semi-structured content. Think sentences – documents, PDFs, manuals, and call transcripts. The type of content that does not fit well in tables or rows.
Imagine searching for delicious recipes – and you have three choices. Ask three friends and they each hand you a stack of recipes. Ask one friend – who grabs several stacks of recipes. Or ask one friend – who aggregates all the recipes, ranks them according to your likes and dislikes, and hands you a relevant listing. Which would you prefer?
In order to search across your enterprise with unified search, you need to connect into data sources. And that’s done through connectors. A “connector” enables you to plug-in to a content source with either a crawler or a push mechanism. Crawler – As its name implies, a “crawler” crawls through all sources to extract data — regardless of whether that data is structured or unstructured.
Enterprise search can provide endless intelligent experiences for virtually any audience – internal or external to the company. Here are just a few sample use cases