Tag: #DataGovernance
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The Risks of Shadow AI and How to Manage Them
‘Shadow AI’ refers to the unauthorized use of AI tools outside an organization’s control. Many AI tools are being used without the permission of company management. Companies should not allow ‘Shadow AI’ usage due to significant risks and potential consequences.
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Risks & Inefficiencies of Not Fully Integrating Acquired Companies
When a company acquires or merges with another company but fails to fully or properly integrate its tools and processes siloization occurs. Poor communication and decision-making during these integration efforts often lead to increased business risks and inefficiencies from what is called siloization. Siloization is often the outcome of poorly executed or incomplete integrations of…
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Core Requirements Shared by Compliance Laws & Regulations
While compliance laws may vary in terms of scope and enforcement mechanisms, they commonly focus on protecting individual privacy rights, ensuring transparency and accountability in data handling practices, granting rights to consumers, and emphasizing robust security measures. By focusing on meeting this core subset of common compliance law requirements described above a lot of business…
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How to Get Started with Data Catalogs & Data Tagging from Ground 0
Data catalogs are critical tools for managing and governing data. Data tagging focuses on adding contextual labels to individual datasets for better management and analysis, data catalogs provide a broader framework for organizing these datasets in a way that enhances usability and governance. Used together data catalogs and data tagging form a powerful combination that…
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NRM WP1 Q4 2024: NRM’s Unique Approach
We are excited to announce the release of our first white paper explaining our unique approach to Risk Management. We expect to produce a new white paper each quarter starting with this first one that explains our approach at a high level. Future white papers planned will go deep with each of the contributing factors…
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Best Practices for Establishing a Data Governance Council
Creating an effective Data Governance Council is essential for managing data assets and ensuring compliance with regulations. Here are best practices for creating a Council along with a list of good reasons to do so.
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Addressing the Increasing Needs of Third-Party Risk Management (TPRM)
The risks third-party entities pose to the organization can include operational, financial, reputational, and compliance risks. Every business with third-party vendors should define a TPRM strategy.
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Data Governance is Closely Linked to Business Risk Management
As explained earlier in the Nimble Risk Management Consulting ‘Crossroads of Business Efficiency & Risk & Data Governance’ article series: Effective data governance is essential for managing risks associated with data quality, security, and compliance. Data governance helps address many aspects of business risk, and data governance and risk management are closely linked. This is…
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What is Nimble Data Risk Management?
GRC stands for Governance, Risk, and Compliance, a new acronym being heard much more frequently lately. A GRC framework is a model for managing all compliance and governance risks in a company. Too often GRC and corporate governance in general have been unwieldy high overhead activities. Nimble Data Risk Management (NDRM) has evolved to bring…
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All Companies are Software Companies These Days
Today all companies are software companies, but many haven’t yet realized or fully understood the implications. This is because today’s software is used in almost all aspects of running a company no matter what type of business, even if a company doesn’t produce software as a product. In addition, almost all companies are producing and…
