BIG DATA ARCHITECTURE, REGULATIONS AND ETHICS

The Lumenous team developed a comprehensive approach to managing data privacy by necessity. For the owners of small businesses, almost nothing is more sacred and sensitive than the data used to determine whether or not they are worthy of credit and trust. Yet the best way to replace black box scoring in commercial credit was empowering them to share that sensitive data. 


For us, data privacy isn't theoretical. We have hands-on expertise we can tap to help clients with big data and data privacy strategies, policies and procedures, workshops, and project management. The following are some areas that benefit from our interdisciplinary, results-oriented approach:

Ian Oliver, On Finding Reasonable Measure To Bridge the Gap Between Privacy Engineers and Lawyers, Privacy Perspectives, 7/29/2014

DATA PRODUCTS AND SERVICES 

​A company's ability to develop new products and services from data it accumulates and/or hosts can be the basis for new revenues as well as a competitive advantage. But the question of whether to proceed is no small matter. We bring a healthy balance of respect for customer expectations with an innovator's passion for groundbreaking uses of data science. We not only help clients define parameters for new data offerings but also provide an analytical framework for assessing and implementing new opportunities going forward.

INTERDISCIPLINARY TEAM DEVELOPMENT AND MANAGEMENT

​Given the prominence placed on big data and privacy by the Federal Trade Commission and President's Council of Advisors in Science and Technology, it's no surprise that the number of job openings for privacy lawyers and professionals has skyrocketed. Many such positions continue to be unfilled. Whether we have a dearth of talent or aren't quite sure what to expect, there are ways to fill gaps with existing teams. We work with clients to design education and development programs focused on meeting the interdisciplinary characteristics of today's greatest data privacy challenges. 

Consulting

Cloud-based systems offer opportunities to capture and share data for great advantage. Enterprise-specific data may now be shared across lines of business to drive effective strategies and data-driven decisions. Customer data promise similar benefits -- from offering benchmarking to collective insights. We help clients define data privacy management guidelines for each class of data, with special experience at the intersection of vendor and customer interests.

ENTERPRISE AND CUSTOMER DATA PRIVACY

​Privacy policies are ubiquitous. From the very first corporate website to "Web 2.0" applications, that privacy policy link shows up in the footer of most screen.s But what was once a marketing communications task has been forever changed by the velocity, volume, and variety that is big data. We apply our understanding of the technical implications and potential of data usage to develop governance models for our clients. 

PRIVACY CONTROLS IN DEVELOPMENT LIFECYCLES AND BUSINESS PROCESSES

​The art and science of privacy controls has extensive history, just not with the pace and usage uncertainties we see in big data architectures today. Our team brings deep and hands-on experience defining requirements, setting development roadmaps, and deploying working code with deeply embedded access rights and controls.

​How does your company navigate this terrain when regulatory agencies, lawyers and engineers are struggling to reconcile it all? We work with clients to develop strategies and processes that not only address what's known today but also set a framework for emerging technologies and dilemmas not yet conceived. Our unique blend of expertise in law, policy, business ethics, and cloud and data science ensures our clients gain a broader perspective and ability to balance risks and opportunities. 

DATA USAGE AND GOVERNANCE

With recent advancements in data technologies, including storage and analysis, and emergence of powerful data brokers, privacy has become a hot topic. Increasingly, privacy professionals are citing concerns that it is hard to reconcile laws and regulations with the potential of big data architecture. 

​"We cannot keep addressing privacy from a top-down, legally driven perspective. No amount of additional processes and compliance checks is going to change the fact that software itself is so complex. Often, understanding ideas that are simple in one domain do not translate to the other."