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Shinydocs brings documents into big data analysis through cognitive classification and entity extraction, providing interfaces and management consistent with modern Business Content Services goals. Analyze, understand, and leverage your unstructured data for improved business insights.
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About Shinydocs • 2016 and 2017 OpenText Global Technology Partner of the Year • Best selling OpenText 3rd Party Technology World Wide • CIO Review Top 20 Most Promising Document Management Providers 2015
Big Data is Big with Shinydocs • Ask a CEO: Did you know your “big data” only represents 15% or less of corporate knowledge? • 85% or more of data remains unstructured in file shares • Shinydocs fixes this problem • Brings documents into big data analysis through document cognitive classification and entity extraction • Provides the on-going interfaces and management consistent with modern Business Content Services goals
CIO’s Landscape • Only vendor to ensure 100% of users are working in the Managed system • All files fully classified and the data is eligible for Big Data analytics • First and only ISV to use AI across all files to classify files and drive workflow
2017 OpenText Financial Services Innovation Award Shinydocs among three reasons they won cited on the main stage at OpenText Enterprise World
Shinydrive Suite How do people use Business Content Services? Cognitive Analysis How do people understand their data using Business Content Services? Migration How do people get to modern Business Content Services?
Use Case: File Share Analysis • Scenario • Majority of data resides within File Shares • 85% of data within an organization is unstructured • Companies have minimal line of sight and management over this data • Contains significant amount of sensitive and critical data to the company • Solution • Shinydrive Cognitive will crawl all documents within the File Shares, providing back analysis based on all associated Metadata, content and type and location • Value • Organizations have a 360 degree view of their File Shares, allowing them to determine best strategy for Enterprise Information Management • Organizations can accurately assess costs and vulnerabilities associated with File Shares • First step in creating a strategy for Business Content Services
Use Case: Desktop Analysis • Scenario • Large, vastly unknown amount of corporate data resides on employee desktops/laptops • Documents on desktops/laptops tend to be files employees utilize most often, or require ease of access to, and often contain most pertinent/sensitive information • Organizations have little to no line of sight to documents that reside here • Solution • Shinydrive Cognitive will crawl all documents located on employee desktops/laptops regardless of location, providing back analysis based on all associated Metadata, content and type and location • Value • Organizations have a 360 degree view of employee laptop/desktop data, allowing them to determine best strategy for Enterprise Information Management • Organizations can accurately assess costs and vulnerabilities associated with desktop/laptop data • First step in creating a strategy for Business Content Services
Use Case: Migration Preparation • Scenario • Migrating large of amounts of data from File Shares and Desktops/Laptops to managed data repositories is a complex, costly exercise • Difficult to maintain all associated metadata, linked references/xrefs and taxonomy • Users forced to learn new interfaces and document location • Solution • Shinydrive Cognitive will analyze all unstructured data and apply correct classification to each document. • It will then migrate documents to appropriate data repository based on document classification and corporate policy – maintaining all metadata, taxonomy and linked references • Users continue to access documents from same Folder structures and interfaces they had previously, without having to learn anything new • Value • Organizations can move all unstructured, costly data into the most cost effective, secure backend repositories • With all documents now properly classified and searchable, organizations can gain full insight and value into all of their data
Use Case: Real-time Analysis and Classification • Scenario • Users create documents and save them, but important metadata is not captured to properly manage the document • Documents are saved in convenient folders that are not necessarily most applicable • Data becomes lost and under-utilized, as well as potentially vulnerable to security breaches • Solution • Shinydrive Cognitive will analyze each document created and saved by the user, classifying the document in real time • Based on document classification and company policies, document will be migrated into appropriate data repository • Value • Can guarantee every document within the organization is properly classified and stored • With all documents now properly classified and searchable, organizations can gain full insight and value into all of their data