---
title: "Turn SharePoint, Network Drives & More into Actionable Data"
description: "Most enterprise knowledge sits in documents nobody can query, which Gartner puts at 70-90% of all content."
url: "https://www.dataxray.io/blog/demo-turn-sharepoint-and-network-drives-into-actionable-data/"
language: "en-US"
---

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4. Turn SharePoint, Network Drives & More into Actionable Data

# Turn SharePoint, Network Drives & More into Actionable Data

Most enterprise knowledge sits in documents nobody can query, which Gartner puts at 70-90% of all content. Extractors pull structured fields out of those files in place, across SharePoint, network drives, Box and Google Drive, turning PDFs and reports into clean JSON without moving anything. This demo follows a credit report end to end.

**Kyle DuPont**

24 July 2025 · 2 min read

Contents

1. Before Extractors: The Cost of Doing Nothing
2. The New Play: Treat Your Documents Like a Database
3. Live Demo Example: From Credit Reports to Clean JSON
4. The Big Advantage: In Situ Extraction
5. Use Cases Across the Org
6. DataXray Extractors: Why This Isn’t Just a Feature
7. Book a Personalized Demo

Webinar: Turn SharePoint, Network Drives & More into Actionable Data

**70–90% of enterprise knowledge lives in documents you can’t query.**
What if you could flip that into clean, usable, structured data, right where the files already live?
Unstructured data such as documents, PDFs, images, and content scattered across SharePoint, network drives, Box, and Google Drive make up **the majority of your enterprise data**. According to Gartner, it’s estimated to be 70–90% of all enterprise content.
But here’s the problem:
You can’t search it. You can’t analyze it. And you definitely can’t automate workflows with it.

That’s where **DataXray’s Extractors** come in.

## **Before Extractors: The Cost of Doing Nothing**

When it comes to documents, the “do nothing” path looks like this:

Before Extractors: The Cost of Doing Nothing

You’re either relying heavily on manual review or building expensive pipelines that move sensitive files around just to get insights.

## **The New Play: Treat Your Documents Like a Database**

Forget centralizing or replatforming. Extractors let you ask questions of your documents and instantly get back structured answers:

- Risk clauses from 10,000 contracts
- Counterparties and durations from lease agreements
- Customer IDs from invoice folders
- Executive summaries from buried audit reports

That’s exactly what **DataXray Extractors** let you do.

Using a simple in-app interface, you can define what to extract like dates, names, clauses, or tags, and run it directly on your content **in situ**.

## **Live Demo Example: From Credit Reports to Clean JSON**

In the webinar, we showed how to extract key metadata from a credit risk report without moving a file:

**Document**: Credit_Assessment_FN1234.docx

**Fields Extracted**:

- Report Date: 2023-10-15
- Company Name: AlphaTech
- Credit Score: 745
- Revenue: 15M
- Risk Summary: _“Consistent revenue growth and effective cost management”_

And it doesn’t stop there. The output is structured as **searchable metadata**, usable in workflows, analytics tools, or data catalogs like Collibra .

## **The Big Advantage: In Situ Extraction**

Unlike traditional ETL or manual work, extractors:

- Run directly on your SharePoint, Box, or Drive content
- Require **no replatforming, no pipelines, no engineer dependency**
- Respect **existing entitlements** (so access stays governed)
- Output **structured data** like JSON, lists, booleans, or labels

This is metadata you can **search, filter, label, route, and act on**.

## **Use Cases Across the Org**

Use Cases Across the Org

Whether you’re training an LLM, enforcing a DLP rule, or flagging gaps in vendor contracts, Extractors make it instant.

## **DataXray Extractors: Why This Isn’t Just a Feature**

This is a shift.

- From passive file storage → to intelligent metadata extraction
- From “data chaos” → to “searchable knowledge”
- From **manual and slow** → to **automated and in-place**

## **Book a Personalized Demo**

See how DataXray can help you [extract value from your documents](https://www.dataxray.io/demo/). No pipelines, no re-platforming.

See what is actually in your files.

[Book a demo](https://www.dataxray.io/demo/#book)