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How Startups Can Preempt Big Data Problems By Addressing These 3 Issues Upfront

by Judy Selby•

Success!  You are about to embark on a Big Data project for your startup company.

Youve identified your business objective, made your business case, and developed a solid strategy.  Youve even managed to get the right people in place, including highly coveted and skilled data scientists.  But have you thought of everything?  Great technical and business results might not mean very much if your project lands you in court. Confronting these issues before you get started can help to keep you out of hot water and keep your Big Data initiatives on track.

1. Capture and Collection

Depending on where youre operating, capturing or collecting certain types of data may be subject to various laws and regulations. Methods of collection also may trigger legal issues and disclosure obligations.

2. Storage

Various laws control how long certain types of data can be stored. Simply hanging on to data indefinitely may not be an option. In addition, certain categories of data fall within the purview of various laws and regulations governing storage and security obligations.

3. Disclosure

Disclosures about your intended use of data need to be accurate. Does your disclosure accurately reflect what youre actually doing today? And how should changes in your Big Data strategy be addressed?

Taking a little time to confront these issues at the outset is infinitely easier and less costly than doing it after the fact.  Big Data projects can play a vital role in building value for your startup. But its important to be proactive in order to protect your bottom line, as well as your all-important brand and reputation.

I co-chair BakerHostetler’s Information Governance Team, founded the eDiscovery & Technology Management Team and counsel clients on ways to avoid information-related liability. I handle cutting edge privacy, data breach, information governance, cyber insurance and insurance coverage matters.

I frequently speak and write about information-related strategies and best practices. I have successfully completed a course on Tackling the Challenges of Big Data with the Massachusetts Institute of Technology (MIT), Professional Education and co-chair the Claims and Litigation Management Alliance (CLM) Cyber Liability Committee. I am a member of the ABA Big Data Committee and the Sedona Conference Data Security and Privacy Liability Working Group 11.
 

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