Are you a Data Hygienist?

By |2021-03-11T16:37:41+00:00March 11th, 2021|Categories: Data, eDiscovery, Information Governance, Knowledge, Privacy, Productivity|Tags: , , , , |

The first real job in my formative years was as a line cook at a Big Boy family restaurant in north-central Indiana.  I learned many lessons about working with people, teamwork, customer service, inventory management, and managing a business. In the kitchen, I remember the grizzled cook that had been there for many years telling me when there was a break in the dinner rush: “If you've got time to lean, you’ve got time to clean”.  That mantra stuck with me for the rest of my career.  In a conversation today with my partners, Jason Thompson and Michael Epstein, we were discussing the dusty data landscape of Microsoft Teams and other collaboration sites.  Every organization, including Kindato, struggles daily with ensuring their team members accidently don’t use erroneous chats and meeting notes. Naturally, the conversation then led towards how to manage SharePoint and shared folders across a myriad of cloud platforms.    My career in technology allows me to play with terabytes (and sometime petabytes) of unstructured data. Now I’m spending quite a bit of time in Microsoft Teams, Slack, Trello, and a few other collaboration technologies across the different projects we are engaged. These tools are amazing at providing the foundation for remote teams to continue working together especially in the middle of a pandemic.    The challenge is that collaboration technologies often become a “data dumping ground” for all sorts of data such as meeting notes, files, meeting recordings, and chats. This makes it very difficult to manage on a day-to-day basis as well as raises the risk of retaining large volumes of unknown data.    Building data hygiene and data management into the culture of your organization is a healthy way to manage the exploding volume of data that is stored across these [...]

Identification in eDiscovery and Information Governance

By |2021-03-04T16:27:39+00:00March 1st, 2021|Categories: Data, eDiscovery, Events, Information Governance|Tags: , , , , , , , |

Last week the Los Angeles Chapter of Women in eDiscovery invited me to moderate a discussion with some amazing women leaders in the Information Governance space about the challenges & solutions related in identifying users and data as part of the eDiscovery process.  In our conversation with Susan Bennett of Information Governance ANZ and Justine Phillips of Sheppard Mullin we covered topics around:  Securing and locating data with personally identifiable information (PII) for eDiscovery identification stage in relation to cross borders (e.g. tokenization and legal approaches)  Compliance and benchmarking within an organization for identifying relevant data  Using identity management for acceptable risk and understanding risk profiles  As part of this discussion, Justine and Susan provided materials to share with our broader audience.   Justine shared with us some great insight on the California Consumer Privacy Acct (CCPA) and California Privacy Rights Act (CPRA) as organizations continue to understand the different types of “Personal Information” (PI) required to be protected. She shared what is considered to be Personal Information by the CCPA and CPRA.    Susan supplied us with her knowledge related to data privacy in Australia and around the globe with the General Data Protection Regulation (GDPR) as the gold standard privacy protection regulation. Susan has written an article explaining the InfoGovANZ Information Governance model and framework that I suggest people review as part of their IG learnings:   Information Governance: optimising the lifeblood of organisations - InfoGovANZ  There is also a section on law and eDiscovery in the recently released InfoGovANZ Hindsights and Insights Report - Information governance reflections on 2020 and insights for 2021.  Thank you to the wonderful Women in eDiscovery — Los Angeles Chapter for the opportunity to learn and facilitate an interesting conversation with Justine and Susan. It can be overwhelming with the [...]

Knowledge & Intelligence through Data: The KinDato Innovation Lab

By |2020-12-03T17:53:46+00:00December 3rd, 2020|Categories: Announcements, eDiscovery, Technology|Tags: , , , , , |

One of the unique opportunities I have as an advisor working with organizations looking at data information governance and eDiscovery issues is that we have an opportunity to look at the strategic use of data within an organization. Over time what we have learned is that organizations get value and reduce risk from data by making sure there is a combination of Knowledge and Intelligence that is driven by Data, or as we call it…the state of “KinDato”. As part of that effort to improve the use of technology and gain value from data within an organization we built the KinDato Innovation Lab, allowing us to assess and leverage multiple technologies through integration and workflows. In the context of eDiscovery and data management, we look at integrating numerous tools in an agnostic way since we don't have a specific relationship with any specific tool or provider. Our goal is to create effective integrations within a client’s environment particular their technology stack. Every organization that we work with uses different types of technologies to manage both their knowledge and data across their organization. From an eDiscovery viewpoint, this is challenging especially when trying to identify sources of relevant information as well as understanding the value and risk of that data.  At the core of things, it is really all about data and understanding that data from various stakeholder perspectives. The KinDato Innovation Lab is completely agnostic to the technology used in our innovation.  For example, we work with mid-size organizations on leveraging the technology they have in-house specifically around Microsoft M365 Advanced eDiscovery solution. Many organizations can’t spend the money or effort on complex eDiscovery technologies.  They simply want to be able to have an easy to use and defensible workflow for things like third party requests and data subject access requests (DSARs).  The KinDato Innovation Lab worked with the built-in Microsoft tools using PowerShell, Graph API, SharePoint and other automation techniques to build a system within the Microsoft Teams environment to create a defensible workflow for these types of cases.  More complex eDiscovery matters that require a greater effort will of course have a different workflow, but this approach will save clients a significant amount of money and effort allowing them to [...]