1. The Content Intelligence Company
Eric Rossborough
Bytes, Basics and Beyond
March 2017

2. About us Haystac The Content Intelligence Company
Privately held & self-funded
Launched in 2014
Headquarters in Newton, Massachusetts
~ 20 employees
Working with Engineering and Operations, we identified and classified a large set of scanned documents to address regulatory compliance requirements around key topics.
We developed a County-wide solution to classify and extract data points for large volume of scanned images as well as electronic stored information (including s).
The Content Intelligence Company

3. Situation analysis – Some goofy math
For a sense of scale - Some goofy math (just for fun):
In shared files today at a large US Bank:
Estimates in PB = 10,000 TB = 10,000,000 GB = 150,000,000,000 pages of “Dark Data”
1 box of documents = ft high
150,000,000,000 pages = 75,000,000 boxes
Bank Building in Atlanta = 310 ft = 372 boxes
10PB = 75,000,000 boxes = 201,612 bank towers = 31 miles
Distance from surface of earth to stratosphere = 30 miles
The Content Intelligence Company

4. Why Content Analytics Reduce information security risk
Reduce potential hack “strike zone”
PII, PCI, HCI, etc.
Confidential or restricted content
Lower storage management costs
Reliably identify Relevant vs Redundant, Obsolete, and Trivial (ROT) content
Improve accuracy and speed of content searches
Consistently apply best practices for Information Governance.
Minimize end-user impact on content indexing
Eliminates ROT data
Accelerate document- based business processes
Commercial/retail loan origination
Forensic accounting
Dynamically classify content according to business value and events
Mergers and acquisitions
Litigations and e-discovery
Audits
Report on content for advanced analytics
The Content Intelligence Company

5. Cross-Industry Use Cases
Storage management and legacy information cleanup
IT cost reduction
Information governance
Corporate and regulatory compliance
Information Security
Sensitive PII/PCI/PHI content identification and remediation
Retention/disposition content
Data Monetization
Data Migration
Litigation and E-Discovery acceleration
Process improvement initiatives
Mergers and acquisitions
Document analytics
The Content Intelligence Company

6. Cross-Industry Use Cases - Examples
Large US Bank – Cost reduction and Information Security
25 PB of content in file shares - $100 M/year expenditure and growing
6 versions of File Net, SharePoint – expensive to maintain, poor user value
Large stream of digitized paper coming from business (retail banking in particular)
Large Electrical Utility – Info security and governance
6 PB of content in OpenText Content Server + x PB in FileShares
Under corporate mandate to universally develop and apply retention and disposition policies
Integrated Oil and Gas – Acquisition (Data Migration)
Mandate to migrate from ECM (OpenText, SharePoint) and file Shares to Corporate ECM (Documentum)
Large Canadian Bank – Migration and Governance
Over 3,000 applications running on Notes
Corporate mandate to migrate content to Corporate ECM (Documentum)
Over 5 PB of contents derived from acquisition
Unknown value and risk of content
Large volume of PST files
The Content Intelligence Company

7. Our discussion today – Large US Bank
Historically, long term storage of XXXX’s information assets (data and e-documents) has supported an environment where structured and unstructured information is over-retained, and disposed of infrequently and inconsistently.
User-created records can be stored anywhere
Little or no retention or Lifecycle Governance (value vs risk)
Lack of search findability
Not always secure – can contain PHI, PII orother sensitive information
Increased cost for e-discovery, storage, and backups
Increased RISK !
The Content Intelligence Company

8. Current Unstructured Content Environment
Problem Statement
Using Indāgō Content Analytics - Crawled and Indexed all NAS Drives – both personal and shared drives
Presented our findings from a high level review of the primary NAS storage environments:
Surfaced current storage size of ~1.9 PB and corresponding managed storage costs of ~$18 MM / yr.
Initial estimates have surfaced that operationalizing the disposal of unnecessary data could reduce storage expenses by ~$10MM in year one (with organic growth / ROT reduction assumptions).
In an effort to validate the size of the opportunity, there is a need to interrogate storage environments and quantify business benefits associated with disposing of “ROT” data (Redundant, Obsolete, Transient) as defined by corporate policies.
Current Unstructured Content Environment
The Content Intelligence Company

9. High Level Findings Environment ROT Summary – 6/08/2016
The Content Intelligence Company

10. Business Case Unstructured Cleansing * Financial Impact
1) Prohibited File Types 7%
Review File List
Haystac to ID Data
Mitigate
2) Non-Accountable Data 8%
Abandoned Home Shares
Orphaned Home Shares
N/A Data in Common Shares
3) Aging Data 25%
Home Share Data 2+ Years (85 TB)
Records past retention
Common Share or Shared Drives
4) Duplicate Data 10%
Home Shares
Shared Drives
Across Enterprise
Financial Impact
Using the same data that was originally presented:
$10M/y x 50% = $ 5M/y
Using 40% New Data Growth Rate (NDGR)
$25 M saved over 5 years
* Very Conservative percentages with Content Analytics
The Content Intelligence Company

11. What is Haystac Indāgō Comprehensive and scalable Content Analytics
Machine learning and Visual Content Intelligence
Searches, crawls, profiles and clusters unstructured data repositories
File-shares, , Google Drive, Enterprise Content Management (ECM), SharePoint, Office365, etc.
Identifies ROT and Sensitive data
Automatically profiles and clusters relevant data
Manages content and metadata in-place within ECM
Connectors to FileNet, Documentum, OpenText ContentServer, SharePoint, Google Drive, etc.
600+ files types, including scanned and pdf documents
Applies dynamically known or derived classification model
Applies visual classification to scanned and pdf content
Applies retention policies to content
Automatically extracts data points from content
Auto-indexes electronic documents
Targeted OCR (visual anchor) for scanned and pdf documents
The Content Intelligence Company

12. What is Move to Manage – Process
© 2012 Capgemini – All rights reserved
What is Move to Manage – Process
Identifies ROT, Non-records, Dups and Near-Dups to reduce volume of content to be moved
Tags sensitive content 1
File Share
File Share
File Share
File Share
FileNet
ROT
Non-records
Dups
SharePoint 2
Records
Leverage existing protocols, connectors and accelerators
File Share
File Share
File Share
File Share
The Content Intelligence Company
© 2012 Capgemini – All rights reserved

13. What is Manage in Place – Process
© 2012 Capgemini – All rights reserved
What is Manage in Place – Process
Crawl based inventory of content and meta-data
Google Drive
Aodocs
Likely daily syndication
Published reports of meta-data updates
Haystac Indago integrates with key ECM systems and classifies content, providing decision support
Disposition or management of content will happen at system of record
System of Management responsible for CRUD action (Create, Replace, Update, Delete)
The Content Intelligence Company
© 2012 Capgemini – All rights reserved

14. Unleash the Power of Content Understand, Classify, Act
Director of Sales: Eric Rossborough –
The Content Intelligence Company