Dale Heath - Data’s dark side turning your information governance nightmare into competitive advantage - FutureData 2017
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Data’s Dark Side:Turning Your Information Governance
Nightmare into Competitive Advantage
Dale HeathPrincipal Architect
Information Intelligence
INFORMATION IS THE MOST CRITICAL ASSET…
Copyright © 2017 Veritas Technologies LLC
The Truth About Enterprise Data: It’s Simply Unsustainable
26%
62%Dark Data
ROT
12%Clean
We don’t have a cluewhat most of it is.
Much of it goes untouchedand unleveraged.
Data Genomics Index, 2016The Global Databerg Report, 2016
But, we know a good chunkshould be deleted.
Copyright © 2017 Veritas Technologies LLC
Copyright © 2017 Veritas Technologies LLC
Data is Exploding…
Copyright © 2017 Veritas Technologies LLC
We Keep Everything. Forever…
Who is the owner of the data? Who is the inferred owner of this data? Who has access to the data?
What unstructured data do you have throughout the environment?
Why am I keeping this data? Is it redundant? What is the value of the data? Is it critical or sensitive?
Where is my data located? Is it on the correct tier of storage? Could it be migrated to Cloud? Could it be archived?
When is it being accessed? How frequently is it being accessed?
How is the data being used? Is it secured correctly? Does it contain sensitive information?
Who Where
When
HowWhy
Data
What
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The Unknows of Unstructured Data
What’s the big deal?
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Potential $130k in piracy penalties
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What about Piracy as a Business Risk?
File Name Copies Size (MB)
Bridge of Spies 14 47,367
Everest 12 39,000
Steve Jobs 6 19,488
Star Wars Episode 4 10 17,423
The Wolf of Wall Street 8 17,005
Movie Files By Size
Other Movies / TV Series include:
Gotham Mad Men The Big Bang Theory Game of Thrones
Pepper Pig House of Cards The Killing Homeland
Over 700GB of Home viewing on corporate file shares
$11,340Saving
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Some Simple Resourcing Examples…
Visibility
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Visibility: Information Map Connector Expansion
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Retention Management
May 25, 2018
• ‘Right To Be Forgotten’• No more data hoarding• Data accountability
Fines of €20M or 4% of Global Annual Turnover
Bill of Data Protection Act POPIProtection of Personal Information
28 LawsPersonal
Information Protection & Electronic Documents
Act
Australian Privacy
Principles
Data Protection Act• Personal data must be stored
on Russian databases• Register of ‘infringers’ drives
website blocks
Personal Data Protection Act• Do Not Call registry• Protection of data
collection
• Hundreds of laws at the Federal & State level & across industries
• 50 Laws In California alone• FOIIA
Copyright © 2017 Veritas Technologies LLC
Copyright © 2017 Veritas Technologies LLC
Free Tool: Veritas Risk Analyzer
Average total data breach cost is $2.51 million $139 is the average cost per lost or stolen record
Ponemon Institute, June 2017
Financial services per record cost is $232 and have 6% abnormal churn
as a data breach result
‘Improvements in data governance programs will reduce the cost of data breach.’
Cost of Data Breach Study: Australia (2017)
Copyright © 2017 Veritas Technologies LLC
Integrated Relative User Risk Score
Simple Risk Assessment
Understand High Risk Users and the Data They Interact With
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User Risk: Visualisation
Social Networking Map Combined with Risk Score Changes Insider Threat Tracking
Proactive Real Time Alerts to Mitigate Damage
Find the Risky Behavior Before it’s a Problem
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Insider Threat
Drivers forClassification
Gain insight – sales data, customer communications Knowledge Management
Locate information subject to regulationAutomate retention management Less Compliance Headaches
Less clutter to search Better e‐Discovery
Delete Personal Clutter ‐News Alerts, Social Media Notifications, Linked‐In Less Costly Management
Copyright © 2017 Veritas Technologies LLC
Classification Use Cases
Copyright © 2017 Veritas Technologies LLC
IntegratedClassification
Engine
Large amount of data across different business units.
>1 billion items
Items that contain Medical records, medicare numbers and medical information.
36.3 million items
Items containing Legal and regulatory content.
55.6 million items
Items containing non business data – social media notifications system alerts etc. 10% management & resource reduction
93 million items
Items containing sales and marketing content.
46 million items
Items classified as auto‐reply emails (Out of Office)
24 million items
Real World Classification Example (Large QLD Health Organisation)
Machine Learning based Classification Prioritization
Continuous growth of unstructured data creates a scale problem for inspecting file content
Predictive algorithm uses context to find the data most likely to contain tagged data
Find Personal data more quickly within Dark Data for a quicker time to value
Copyright © 2017 Veritas Technologies LLC
Automated Smart Classification via Machine Learning
Intelligent DataManagement
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Intelligent Data Management: Classification Policies
1. Gain Visibility
Determine valueReduce risk
2. Take ActionExecute decisions
Retention management
3. Assume ControlAutomated process
and policy
Copyright © 2017 Veritas Technologies LLC
Three Step Approach: From Nightmare to Competitive Advantage
Thank you!
Dale Heath
dale.heath@veritas.com
0418 424 777
“Insanity is doing the same thing over and over again and expecting different results.”
The Compliance Platform for the Intelligent Enterprise
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