The data privacy and protection risks posed by data analytic projects are wide ranging. Even here at Immuta, where we make software that allows organisations to author and enforce data access policies at scale, we acknowledge that technology is currently only part of the solution.
That’s why we’ve written a new white paper, “How to Design and Implement a Governance, Risk, and Compliance Framework for Enterprise Data Analytics,” aimed at a broad audience spanning business, data protection, compliance, legal, and IT professionals within organisations undertaking data-centric initiatives, as well as consultants and systems integrators who may support such activities.
The document unpacks some of the most intractable challenges related to data analytic project risks that could be lurking beneath the waterline within your organisation. These include the familiar issues which determine how organisations face all risk-related challenges: culture, organisational design, resourcing, policy, and, most especially, prioritisation.
The white paper:
- addresses the factors one must consider when defining and articulating their organisation’s risk appetite related to data privacy and protection;
- tackles data protection and privacy from the top-down, specifically how organisations can recognise, identify, assess and manage risk;
- dives deep into access control and risk analysis techniques, and how these can be applied to managing risks from the bottom-up.
With this approach, organisations can manage risk holistically, and by doing so will get the best return from their investment in risk management programmes in support of data analytic initiatives.
Join me for a live webinar this Wednesday, September 18 at 11:00 a.m. ET. to discuss the above. I’ll guide you through the lifecycle of a data project, highlight areas that present the largest risks, and recommended risk management strategies for each. You’ll walk away from this webinar with a framework for identifying and assessing privacy risks within your organization.