All Kindato clients use Microsoft M365 and TEAMS for collaboration and data management (see Kindato’s Whitepaper on M365 Information Governance and eDiscovery). We’ve learned how several types of organizations use TEAMS in their environment and the adoption trends to create our proprietary TEAMS Adoption Assessment.  We evaluate the settings, policies, and usage in TEAMS through lens of governance to capture the risks and opportunities using M365.

First, thank you for considering Kindato’s TEAMS Adoption Assessment. We try to make the process as painless as possible. Typically, we interview M365 & TEAMS administrators, business stakeholders, and knowledge leaders in the organization to gather a complete picture of the organizations. The interviews can take place remotely or onsite.  

Once the information is gathered, Kindato will generate a report with recommendation along with an executive presentation in about 1-3 weeks depending on the complexity of the organization. We present those findings to the project stakeholders in-person or remote to clarify any questions.

Kindato uses embedded M365 and proprietary AI-powered tools to classify and tag content automatically based on its content, context, and metadata, which can improve data discoverability and help enforce retention and disposal policies. Secondly, AI algorithms can be used to monitor user behavior and detect anomalies that may signal data security risks or compliance violations. Thirdly, AI can be used to streamline eDiscovery processes by automating the identification, preservation, and collection of relevant data for legal purposes. Lastly, AI can also be used to analyze large volumes of data to identify trends and insights that can inform strategic decision-making related to information governance.

Kindato works closely with our clients building policies and taxonomies for information governance in M365 to help organizations create a structured approach to managing their data assets within the M365 environment.  

Our team of experts will work closely with you to understand your business requirements, objectives, and compliance obligations, and then create tailored policies and taxonomies that align with your unique needs. These policies and taxonomies will provide a consistent framework for classifying and managing data within M365, which will improve data discoverability, compliance, and security. Our service includes best practices for information governance, guidance on M365 features and capabilities, and ongoing support to ensure your policies and taxonomies remain up to date and effective.

Kindato has extensive experience with legacy data systems such as backup tapes, compliance archives, and other unstructured data repositories. Our service for legacy data remediation is designed to help organizations address the challenges associated with managing large volumes of legacy data that may be outdated, redundant, or irrelevant.  

Our team of experts will work with you to understand your data landscape, including data sources, types, and formats, and then develop a customized remediation plan that meets your specific needs. We use advanced technologies and tools to identify and classify legacy data, enabling you to make informed decisions about what data to keep, what to delete, and what to archive. Our approach is designed to help you reduce costs, improve data quality, and reduce risks associated with non-compliance or data breaches. Our service includes best practices for data remediation, guidance on data management policies, and ongoing support to ensure your data remains up to date and compliant.