What is Enterprise Search?

Enterprise Search is a unified search system capable of indexing and retrieving information from a variety of sources within an organization: documents, e-mails, knowledge bases, CRM, collaborative platforms and so on. Unlike consumer search engines, it operates in a restricted, secure environment, often subject to strict confidentiality rules.

According to Gartner, "Enterprise Search enables employees to save up to 30% of their time by reducing the time spent searching for information". It's a direct lever for productivity and organizational efficiency.

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Why invest in an enterprise search tool?

A search engine for business comes mainly to relieve two problems:

1) The search performance of the tools we use is not sufficient to find the right information without spending hours on it.

2) The need to search all the tools at our disposal at once, without having to search independently in every cloud, mailbox or Sharepoint site.

This type of knowledge management tool has seen its use explode with the multiplication of tools used in business and the arrival of collaborative working on digital documents. The average employee today uses more than 10 different business applications - a source of dispersion that Forrester describes as "informational chaos".

This dispersal is detrimental to responsiveness, inter-team collaboration and the quality of decisions. Enterprise Search responds precisely to this challenge by centralizing access to knowledge distributed across tools such as SharePoint, Google Workspace, Slack, Dropbox, Notion, Salesforce...

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Examples of use cases

• Customer support: quickly find similar procedures or answers in a ticket database.
• HR teams: quick access to internal policies, contracts or administrative documents.
• Sales: retrieve similar proposals, past offers, product literature.
• Legal: search in large contractual corpora, with filtering by entity or date.

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How a corporate search engine works

An Enterprise Search engine rests on three pillars:

1. Indexing: using native connectors or APIs, the engine analyzes and structures content from different sources (documents, emails, chats, etc.).
2. Linguistic processing: modern search engines rely on NLP (Natural Language Processing) to understand search intent, correct mistakes, interpret synonyms and natural language queries.
3. Intelligent restitution: results are sorted by relevance, enriched with automatic summaries or contextual extracts. Some tools, such as Outmind, even offer AI-generated responses or synthetic visualizations.

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Outmind: An easy to configure Enterprise Search 🚀

Outmind is an enterprise search that you can connect to all your tools and applications in the company: servers, clouds, SharePoint, CRM, etc...

Its artificial intelligence allows you to quickly and easily find the right information wherever it is stored.

Outmind takes only a few minutes to set up, you just have to synchronise the tools of your choice.

Outmind is developed in France 🇫🇷, and is accessible from your browser or from its application.

> More about Outmind

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FAQ - Enterprise Search

What's the difference between a classic search engine and Enterprise Search?

A classic search engine (Google) indexes the public web. Enterprise Search centralizes internal data (SharePoint, emails, Drive...) while respecting access rights.

Is Enterprise Search compatible with the RGPD?

Yes, it must respect the rules of traceability, secure access and protection of personal data.

What kinds of tools can be connected to a unified search engine?

Tools such as Microsoft 365, file servers, Google Workspace, Slack, Salesforce, Dropbox, Notion and more.

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