Document Understandingfor

SharePoint

In 2012, companies reported that information access was the top technical

complaint by knowledge workers.

Source: IDC#227780, April 2012

25% of companies with document audits (GLBA, HIPPA, SOX) in 2012 FAILED due to poor organization of

content.

Source: AuditAnalytics.com

60% of companies surveyed, reported their SharePoint project FAILED due to

poor user adoption.

Source: VizIt & AIIM industry Surveys

The Problem:

Content is freely created, but not consumed. Poor metadata removes an

organizations ability to organize, manage and find content.

The Solution:

Improve the quality of metadata and make it easy to add.

This Presentation Tells You How!

Agenda

Who is Pingar What is Metadata Why is Metadata so Important How Pingar Improves SharePoint Metadata How it Works Demo and Trial

Who is ?

Pingar provides document understanding tools and technologies, improving the way organizations interact with content.

The technology tags documents so users don’t need to, increasing user adoption, bringing unstructured content into structured processes and improving search.

Pingar enabled organizations are finding content faster, making users lives easier, and improving business processes.

What is metadata?

Metadata: “Data about data” - What!?

The stuff that makes your content useful!

What is Metadata?

Everything has metadataSharePoint Sites have metadata

Documents have metadata

Even users have metadata

- Creation Date- Site Type- Disposition Date- Description- Administrator- Web Application

- Modified Date- Author- Version Number- Keywords- Record Status- Checked In/Out

- Department- Title- Manager- Phone Number- Address- Groups

There are two types of document metadata

1. Structured Metadata2. Unstructured Metadata

Structured MetadataUsually Populated by the system automaticallyNot found in the body of the documentsBest used in document editing and creationNot great for findability

EXAMPLETitle: “Power_Of_Metadata”Author: “Chris Riley”Lasted Modified Date: “10/13/12”

Companies do OK with structured metadata

Unstructured MetadataUsually populated manually by usersFound in the body ( the text ) of documentsBest used in views, and searchGreat for findability

EXAMPLEKeywords: “metadata, software, technology, improve”Countries: “USA, New Zealand”People: “Chris Riley, Don McMahan, Curtis Gion”

Companies fail at unstructured metadata

Why use unstructured metadata?

To organize documents

Improve search results and refiners

Ensures better compliance

Mandatory for Workflow and BigData

What does Pingar do?Pingar App for SharePoint reads the content of documents and automatically extracts keywords or phrases

Not only keywords also specific objects like people, places, times, dates, etc. 14 entities in total including 1 customizable one

Automatically Populates document libraries with the right metadata

This helps SharePoint users find the content they need faster, and organizations automate compliance

Why Pingar for SharePoint?

Increases user adoption Knowledge workers HATE entering metadata Make document contribution faster for users Information Architects, Content Managers, & Legal will thank you

Improves findability Know what a document is about without opening Automatic search refiners Greater data consistency and integrity

Why Pingar for SharePoint?

Increases complianceBecause you have more consistent metadataYour able to identify content by meaningJudges don’t accept “I searched” as a valid argument

Brings unstructured into the structured worldWithout metadata you can’t do BI or BigDataExecute workflow based on documentsUnlock the latent business value in documents

How does it work?

Pingar App for SharePoint is a Farm level solution that is enabled on document libraries

Automatically reads documents, extracts keywords and specific objects as documents are uploaded to a library

Allows companies to us an existing dictionary source such as a taxonomy for keyword matching, classification, and compliance

Demo

How does it work?

Advanced language technology reads any document with installed iFilter

The document text is sent to the Pingar Server

Software Robots ( experts ) decide what words relate to the meaning of the document

Each word gets assigned a score, and a type such as keyword, person, location, date, time etc.

The words are sent back to SharePoint for placement in columns

How does it work? Supports

Two VersionsPingar Server in the CloudPingar Server on-premise

Enabled on Document LibrariesPopulates MMS columns of your choice

Automatically Extracts Keywords When:A document is uploadedA document is updated Ad-hoc via the Ribbon

&

Try it! on your Farm Today

For SharePoint 2010pingar.com/SharePoint

For SharePoint 2013 (Office 365)bit.ly/MX-S13

Document Understandingfor

SharePoint

Document Understandingfor

SharePoint

pingar.com/SharePoint