Frank OhlhorstIndustry Analyst/CTO, Magnum Consulting

Digging Deep:Finding and Maximizing the Hidden Value of Data In Motion: Leveraging it for Compliance and Real-time Insights

With host, Steve FriedbergIo-Tahoe

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Speaker bios

Frank OhlhorstAn award-winning technology journalist, professional speaker and IT business consultant with more than 25 years of experience in the technology arena. He has written for several leading technology and business publications and was also executive technology editor at eWEEK. .Frank currently freelances for several leading technology publications and has worked with Enterprise Security Planet, Enterprise Networking Planet, CIO.COM, Desktop Engineering Magazine, SDTimes, IDG, Techrepublic and Peerlyst.

Steve FriedbergSteve Friedberg is a veteran corporate communications consultant and strategist who has worked on behalf of companies worldwide for more than a generation. He’s worked with multi-billion dollar publicly traded firms and privately held startups in the fields such as data analytics, data centers, information security, business continuity and more.

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The driving forces behind business insights

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What are business insights?

“A business insight combines data and analysis to find meaning in and increase understanding of a situation, resulting in some competitive advantage for your business.”

(Source: QuickBooks Canada)

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The importance of being insights-driven

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Bolster Organizational Agility

Business decisions no longer have to be made in the dark or based on gut

feeling. They can be made as quickly as meaningful insights and information

are acquired.

Targeted data analytics render key insights and play a paramount role in

executive decision making, and drive

business operations to a higher level.

Enhanced Efficiency/Effectiveness

A data-driven organization can

outsmart their competition and improve business innovation to unlock new revenue

streams and drive more revenue year-over-year

Foster more revenue

(Source: DZone.com)

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Data analytics as a key element in business insights

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• Improvements in in-memory computing• The rise of machine learning• Increased importance of data in motion• Growth of transactional data from IoT and IIoT

• Multiple sources• Immense amounts of data

• But where does the data reside?

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But…

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• You cannot search for that which you don’t know you have • You must discover before you can search

• Known data• Unknown (or “dark” data)

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Where are we now?

• The challenges of PII

• Data in motion: liabilities and challenges

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The challenges of PII

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The precision behind PII Processing

How do we track this information atall stages?

Biometrics, Behavior, Visual, Devices, Associations, Trends

The growth of the “Digital Shadow”

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Regulation and compliance: new dimensions of data

Securing privacy: the new

expectations

Dimension of compliance:

securing data in transit

Forthcoming problems with

behavioral analytics

Abide by standards.The Alphabet Soup of

Compliance• GDPR, CCPA, SOX,

HIPAA.• Other countries, like

Mexico, Canada, Australia, Singapore

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Data: at rest v. in motion

• Internal v. external sources

• The sheer volume: 175ZB by 2025,

according to IDC

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Data in Motion: liabilities and challenges

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• Data interception (“Man in the Middle” attacks)• AI-powered interception techniques• The quantum threat (Encryption Weakness)• Reduced time to react to threats• Data traverses numerous systems

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GRC: The need for real-time discovery

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• Data moves at the speed of business; e.g., too fast for manual processes

• Discovery: tools needed to surface and inventory data assets• Flow: identify data, its motion, sources and destinations• Payloads: what is the content/context of the data?• Definitions: identifying PII and non-PII information

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The solution

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Smart Data Discovery plays a role in being insights-driven

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Meeting the PII data in motion challenge

• Deploy automated tools to discover data through the enterprise

• Use Machine Learning to identify PII

• Leverage AI to uncover data relationships

• Build classification systems to gauge sensitivity

• Use intelligent algorithms for enhancing analysis

• Build data catalogs that exemplify sensitive information

• What is Smart Data Discovery?• ML, AI ease the journey• What is the goal of Smart Data

Discovery?• Why Smart Data Discovery

matters• Is Smart Data Discovery

attainable today?• Where to start with Smart Data

Discovery

Smart Data Discovery

• Incorporating solutions that address PII and sensitive data

• Structured, semi-structured and some unstructured formats

• Automatic tagging of PII via deep learning

• Timely identification for in-motion versus at rest

• Companies become better stewards of the information entrusted to them

Smart Streaming Discovery

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In summary

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• Real-time data analytics will continue to explode• Mastering PII will be a key element for companies in compliance

and building trust• Immense amounts of data will need to be accounted for at every

stage, at rest or in motion• Smart Data Discovery is mandatory; companies seeking a strategic

advantage will implement and take advantage of Smart Streaming Discovery

Thank you

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