Every other post on LinkedIn these days seems to be about GDPR. Well, if you don’t count the ones complaining about recruiters, or the ones from recruiters complaining about candidates.
I’ve been keeping tabs on this subject so that I can provide sensible advice to my customers, and have had some interesting conversations about GDPR in that time (a highlight being a chat with Simon Morrissey from Lewis Silkin) and how the Information Commissioner is likely to operate once it is effective next year.
Chris reporting from the very last ship-bound IT Directors’ Forum. Including interviews with GDPR expert Simon Morrissey from Lewis Silkin, ITDF stalwart Richard Blandford from Fordway, and Kim van Rooyen from Turner & Townsend. More WB40 podcasts here
Something that has come up regularly is the idea that data, having been generally seen as an asset, is now also to be regarded as a liability. The logic is pretty straightforward, if you manage your data badly it can lead to a blow to reputation, a cost to fix the result of a data loss, and at worst action from the ICO. So maybe we should think of it like stock in a warehouse, great to have, and an asset on the balance sheet, but costly to maintain.
Most manufacturing businesses now see stock in this way and operate lean methods to keep their stock to a minimum, releasing cash and also reducing the risk of stock being damaged, lost or becoming devalued through commodity price changes.
Should organisations such as retailers and recruiters take the same view of the personal data they hold? How realistic is it to think in these terms?
So, borrowing from the poor, abused notion of the Minimum Viable Product, I wonder -could you define your Minimum Viable Dataset? And would it be a better business if you could learn to live with that standard?
Chris Bridgland: Mitigate risks and stay compliant – Practical strategies for meeting strict new data privacy regulations like GDPR. – 12th December 2017
As the regulatory landscape evolves and more data moves to the cloud, compliance has become an increasingly difficult, high-priority challenge. Meeting this challenge—and keeping legal, financial, and other risks in check—requires new levels of visibility into and control over all of your data regardless of where it’s located.
Attend this digital boardroom session to hear how Veritas can reduce data risks by providing you with a clear line of sight into all of your data, helping you quickly classify that data within the context of your established policies, and respond quickly and intelligently to data risks and regulatory requests. This includes practical strategies to help you add machine learning and an advanced classification engine to your compliance efforts, automatically manage and pre-determine the regulatory relevance of every document in your organization, gain the deep insights you need to quickly assess your data risks and make smart, informed decisions, and more.