Tag: #Governance
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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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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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Flow Engineering Leverages Complexity Science to Better Manage Risks
The recently emerged Flow Engineering approach integrates Complexity Science to enhance the design and management of complex systems, particularly in environments where multiple variables interact dynamically. While Flow Engineering encompasses various techniques and methodologies aimed at enhancing flow within systems, it is best understood as an overarching approach rather than a singular method. Flow Engineering is…
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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…
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The Many Org Structures Companies Use for Compliance & Data Governance
GRC stands for Governance, Risk and Compliance and the acronym is being heard much more frequently recently. A GRC framework is a model for managing compliance and governance risks in a company. The framework has been named GRC because many business risks have been found to originate with how regulatory compliance is being managed or…
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New Company Roles Emerge for New Compliance & Data Governance Needs
New Regulatory Compliance Laws and Regulations are Emerging QuicklyNew risk management needs are constantly arising as regulatory compliance laws and regulations continue to evolve. To be successful business need to integrate responsible risk management practices into everyday operations, especially for emerging disruptive technologies such as AI. As these laws and regulations evolve businesses must be…
