The Governance Lab’s Post

Public sector organizations rely heavily on diverse data types ranging from case data to social media insights to make critical decisions, often with life and death implications. To effectively manage and leverage these data sets and to effectively integrate them with insights such as third-party datasets, community feedback notes, and social media scraping, regulators must deploy a nuanced approach. One of the hallmarks of this approach is the deployment of a cross-functional information governance steering team. A cross-functional information governance steering team brings together thought and team leaders such as subject matter experts, chief data officers, informatics leads, and privacy and ethics officers under one umbrella. Its goal is to incorporate diverse viewpoints and skill sets, such as data management, technology, privacy, compliance, and information security to ensure that data governance efforts both align with organizational goals and effectively mitigate risks. In one notable example cited by a recent McKinsey study this past March, the Maryland Department of Health formed a data governance council that was tasked with the strategic oversight and review of data management efforts and included members with deep expertise in relevant and diverse areas such as data, technology, privacy, compliance, and behavioral health. The McKinsey study noted that creating a council similar to the example above enhances data quality and integrity by establishing standardized processes for data collection, storage, and analysis. This, in turn, boosts confidence in decision-making processes reliant on this data, fosters transparency and accountability by clearly defining roles, responsibilities, and workflows related to data governance, and reduces ambiguity and potential conflicts. A cross-functional team also facilitates innovation and collaboration by encouraging the cross-pollination of ideas and expertise across disciplines. The result is that the organization can more easily formulate novel insights and solutions that can drive positive outcomes in public health initiatives while simultaneously improving its risk management capabilities by proactively addressing data security, privacy, and compliance challenges through robust policies, protocols, and training programs. #informationgovernance #stateandlocalgovernment

Responsible data management is key to driving sustainable growth. Companies that earn and maintain trust through transparent and ethical data practices can differentiate themselves in a crowded market. In a world where data breaches are all too common, trust becomes a competitive advantage. #iworkforComcast #DataManagement #BusinessGrowth #DataProtection https://lnkd.in/gcbzZDa8

Responsible data management is key to driving sustainable growth. Companies that earn and maintain trust through transparent and ethical data practices can differentiate themselves in a crowded market. In a world where data breaches are all too common, trust becomes a competitive advantage. #iworkforComcast #DataManagement #BusinessGrowth #DataProtection https://lnkd.in/gXmgmVFj

When data is the cornerstone of modern business operations, it's crucial for organisations to establish clear guidelines and responsibilities for its management. You wouldn’t open an office building without making someone responsible for overseeing it’s proper and secure operation, and the same must be said of your digital assets. Corporate Digital Responsibility (CDR) One set of strategies at the core of defining digital data responsibilities is Corporate Digital Responsibility (CDR). CDR goes beyond mere rhetoric; it's a fundamental principle under two main themes that underlies ethical business practices in the digital age. Corporate Digitized Responsibility: This includes unbiased data acquisition, data protection, and data maintenance. Corporate Digitalized Responsibility: This involves appropriate data interpretation, objective predicted results, and tackling value conflicts in data-driven decision-making. Some of the key risks you should be aware of when defining responsibility within your digital ecosystem: Unbiased Data Acquisition: The process of collecting data can be biased, which can lead to skewed or inaccurate results. Data Protection: Protecting the data collected is a significant challenge. Breaches can lead to loss of sensitive information. Data Maintenance: Ensuring the integrity and accuracy of data over time is a crucial responsibility. Appropriate Data Interpretation: Misinterpretation of data can lead to incorrect conclusions and decisions. Objective Predicted Results: Predictions based on data should be objective and unbiased. Tackling Value Conflicts in Data-Driven Decision-Making: Balancing different stakeholders’ values when making decisions based on data can be challenging. By embracing CDR as a framework for digital data responsibility, organisations can grow trust with customers and stakeholders while mitigating risks associated with data misuse or breaches. Learn more about strategies for defining digital data responsibilities: https://lnkd.in/eNZ5jfRs #DigitalDataManagement #CorporateResponsibility #DataGovernance #EthicalDataPractices #DataSecurity #DataProtection #DataIntegrity #DataInterpretation #DataDrivenDecisions #ValueConflicts #DataPrivacy #RiskMitigation #CDRFramework #TrustBuilding #StakeholderEngagement

Responsible data management is key to driving sustainable growth. Companies that earn and maintain trust through transparent and ethical data practices can differentiate themselves in a crowded market. In a world where data breaches are all too common, trust becomes a competitive advantage. #iworkforComcast #DataManagement #BusinessGrowth #DataProtection https://lnkd.in/gAu-_uNQ

Responsible data management is key to driving sustainable growth. Companies that earn and maintain trust through transparent and ethical data practices can differentiate themselves in a crowded market. In a world where data breaches are all too common, trust becomes a competitive advantage. #iworkforComcast #DataManagement #BusinessGrowth #DataProtection https://lnkd.in/gqkS9njg

Responsible data management is key to driving sustainable growth. Companies that earn and maintain trust through transparent and ethical data practices can differentiate themselves in a crowded market. In a world where data breaches are all too common, trust becomes a competitive advantage. #iworkforComcast #DataManagement #BusinessGrowth #DataProtection https://lnkd.in/gRFYqBsz

🌐 Did you know? By 2025, the global data sphere is expected to reach a staggering 175 zettabytes. 📊 That’s more than the number of grains of sand on all the beaches on Earth combined! Yet, with this explosive data growth comes an equally explosive challenge: ensuring that all this data is properly governed, secure, and usable. Data governance isn’t just about compliance; it’s about turning data into a strategic asset. Without strong governance, companies risk drowning in a sea of unstructured and unreliable data, leading to poor decision-making, security breaches, and lost opportunities. Here’s why data governance should be at the top of your agenda: Trustworthy Data: Governance ensures that your data is accurate, consistent, and reliable, building trust across your organization. Compliance: With ever-evolving regulations, strong data governance helps you stay compliant and avoid costly fines. Efficiency: Well-governed data is easier to find, use, and analyze, leading to faster and more informed decisions. Risk Management: By identifying and mitigating data risks early, governance protects your organization from potential threats. In today’s data-driven world, how we manage and govern our data is just as important as the data itself. Are you confident that your data governance strategy is ready for the challenges ahead? 🔍 Let’s discuss how to turn your data governance into a competitive advantage. #DataGovernance #DataStrategy #DataSecurity #DigitalTransformation #Compliance

Last week was all about Data Literacy in the Workplace, where we explored: - The importance of making data accessible to everyone. - Tools and strategies for building a data-literate workforce. - Leadership's role in fostering a data-driven culture. Let’s shift gears: this week, we’re diving into Data Governance & Compliance, covering strategies to keep your data secure, compliant, and trustworthy. Data governance isn’t just a buzzword - it’s a foundation for ensuring that your company’s data is reliable, secure, and compliant. With the increasing amount of data being collected, it’s critical to establish clear rules around who owns the data, how it’s used, and how it’s protected. Effective data governance: - Ensures data accuracy and availability. - Protects against data breaches. - Helps businesses comply with laws like GDPR and CCPA. Is your company’s data governance built on a strong foundation? #Monday #BetterSafe #Governance #DataLegends

Data Lineage - Tracking Your Data’s Journey Data Lineage is simply knowing where your data comes from, how it moves, and how it’s transformed. It is ultimately the tracking of your data’s journey, and it is imperative because: 1. Trust Your Data: Knowing your data’s origin ensures its accuracy and reliability. No more guessing if your insights are based on clean, trustworthy data. We discussed the cost of bad data earlier this week. One means of ensuring quality and trusted data is Data Lineage. 2. Regulatory Compliance: Regulations like GDPR demand transparency. Data lineage helps you prove where sensitive data came from, who accessed it, and how it’s been used. One of the huge and common costs and implications of bad data (Regulatory fines) can be avoided with proper Data Lineage as required by concerned regulations. 3. Faster Troubleshooting: When data errors pop up, lineage allows you to quickly trace the issue back to its source, saving time and preventing costly mistakes. 4. Better Decision-Making: When you know the full journey of your data, you can make more informed, strategic decisions with confidence. 5. Risk Reduction: Uncover vulnerabilities in your data pipeline before they become major issues, protecting your organization from breaches and non-compliance. In today’s data-driven world, understanding your data’s story is crucial to staying ahead. #DataGovernance #DataLineage #DataQuality #Compliance #DigitalTransformation