FAQs Archive - Page 2 of 2 - IIM – Intelligent Information Management

Q: How can we reduce redundant, obsolete and trivial (ROT) data?

Removing ROT can feel like a herculean task, and many organizations often leave it up to users to manage their own cleanup. However, if users were truly effective at eliminating ROT, the problem would likely not exist in the first place. Even with a coordinated effort encouraging users to clean up their data, tackling ROT without the right tools can be a daunting task. Consider your own experience the last time you had to organize your old hard drives. At General Networks, a fit-for-purpose ROT tool is employed within an engagement process that systematically assists organizational units in identifying ROT and restructuring their data in a manner that is sustainable for future growth.

Q: How do we manage the lifecycles of our information effectively in M365?

The lifecycle management of content on M365 requires both container and file metadata tracking to effectively manage data at scale. The key to container management is establishing an information architecture that is both flexible and growth-oriented, allowing it to evolve with the organization. Metadata tracking of the files will allow accurate lifecycle management to keep data up-to-date in the system while adhering to compliance requirements. Overall, the information architecture will ensure resilience for effective long-term data management.

Q: How can we manage the growth complexity of our content across multiple collaboration platforms in M365?

The M365 collaboration platform, consisting of three distinct applications—SharePoint, Teams, and OneDrive—can be challenging for users to navigate. The key is a data placement strategy with an information architecture. The data placement strategy provides clarity to the users on what information goes where while the information architecture must be both flexible and robust, allowing it to evolve with the organization.

Q: How can AI be leveraged for content management?

AI language models available with SharePoint Premium can be utilized to automate document classification and metadata extraction, streamlining the creation of precise taxonomies and enhancing users' ability to search metadata. By harnessing the power of AI, sensitive data can be efficiently tagged and protected, business processes can be optimized, and overall content management system efficiency can be significantly improved. This results in improved searchability, stronger data protection, and more streamlined workflows.

Q: What are the risks associated with deploying Co-Pilot on M365 in the context of Enterprise Content Management (ECM)?

For many organizations, content in M365 SharePoint, Teams, and OneDrive has evolved organically since SharePoint's initial deployment. This organic growth presents two significant challenges. First, there is often a considerable amount of redundant, obsolete, and trivial (ROT) content that could provide Co-Pilot with outdated information, leading to inaccurate or misleading results. Second, permissions for content within these collaboration platforms are frequently not tightly managed, leading to over-sharing. This lack of control may inadvertently expose sensitive data through Co-Pilot. Organizations must address these two major risks when preparing for the deployment of Co-Pilot to ensure effective and secure use of the platform.

FAQs

How can we reduce redundant, obsolete and trivial (ROT) data?

How do we manage the lifecycles of our information effectively in M365?

How can we manage the growth complexity of our content across multiple collaboration platforms in M365?

How can AI be leveraged for content management?

What are the risks associated with deploying Co-Pilot on M365 in the context of Enterprise Content Management (ECM)?

Ready to find out more?

Optimize Your ECM Solutions, Enhance Organizational Efficiency.

Why Choose Us

Our Services

Contact Us