Prepare Now for Data Privacy Law Changes in 2024

By |2024-04-02T11:23:11-04:00December 6th, 2023|Data Compliance, Information Governance and Management, Privacy|

The privacy legislation trend shows no signs of slowing down. At least a dozen states have now enacted privacy laws, in addition to global laws already in place. And more states will inevitably pass privacy legislation in the coming year. Organizations should plan carefully to prepare for data privacy law changes in 2024 and beyond. New State Privacy Laws Taking Effect in 2024 Each year, a handful of states enact sweeping privacy legislation, and 2024 is no exception. The following new privacy laws will take effect in the coming months: Montana Consumer Data Privacy Act (MTCDPA) – This law goes

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5 Steps to Implementing an Effective Data Governance Strategy

By |2024-04-02T11:21:05-04:00November 29th, 2023|Information Governance and Management|

Most organizations by now recognize the importance of data governance in ensuring data value and achieving regulatory compliance. However, implementing an effective data governance strategy requires clear vision, cross-functional collaboration, a well-defined framework, and cultural adjustment. Ongoing evaluation and updates also prove essential. 1. Align Data Governance Goals with Business Priorities Successful data governance begins with assessing the current state of data governance, then building a strategy that aligns with business goals and needs. Technologies and trends can and should support data governance. However, strategic planning should focus first on identifying existing risks and business needs and establishing priorities. That

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Data Ethics and Responsibility Build Trust, Efficiency, and Competitive Advantage

By |2024-04-02T11:18:49-04:00November 21st, 2023|Data Compliance, Information Governance and Management, Privacy|

Data ethics and responsibility refer to the practice of using data in a fair, transparent, accountable, and trustworthy manner. Treating data responsibly extends far beyond simply achieving regulatory compliance. It involves carefully considering the impact of data on individuals and society. While it brings important business benefits, it requires strategy. For example, a university conducting social research on issues surrounding indigenous peoples has a responsibility to respect the cultural values of the indigenous community. This will involve first obtaining informed consent from the community and individuals involved. It also requires taking steps to ensure fairness and cultural accuracy in data

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Data Lineage Best Practices Enhance Data Quality and Usability

By |2024-04-02T11:16:35-04:00November 15th, 2023|Data Compliance, Information Governance and Management|

Organizations depend on quality data to drive strategy and innovation. To unlock data quality, data users need a better understanding of that data. This includes knowing where it originated, how it has been used, and how it has transformed over time. Enter data lineage, a type of metadata that traces the journey of data through the organization. Data lineage provides a visual map of data items from their origin through every access point. By helping users observe different touchpoints along the data journey, it enables data stewards to validate for accuracy and consistency. It also provides necessary context about historical

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Data-driven Business Cultures Spark Innovation and Power Decision Making

By |2024-04-03T10:59:01-04:00November 8th, 2023|Cyber-Security, Data Compliance, Information Governance and Management|

Successful businesses leverage data to create competitive advantage, inform decisions, optimize processes, and build customer satisfaction. But data-driven business cultures do not happen by chance. Data-driven cultures require both data democratization and data literacy. Data democratization involves the process of making data available to everyone in the organization, regardless of technical skills or roles. Data literacy, on the other hand, refers to the ability of those employees to understand, communicate, and use data effectively. Potential Roadblocks to Building Data-driven Business Cultures Despite having more data available than ever before, uncovering data value can prove difficult. For instance, because of data

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What US Businesses and Individuals Need to Know About GDPR Compliance

By |2024-04-03T10:57:31-04:00November 1st, 2023|Data Compliance, Privacy|

The General Data Protection Regulation (GDPR) took effect in 2018, increasing data protection for European Economic Area (EEA) citizens and residents. The GDPR impacts how organizations collect, process, store, and share personal data. While the law applies to individuals in the EEA, GDPR compliance also affects American citizens and businesses in certain situations. Failure to comply with GDPR can result in hefty fines, as well as reputational damage and legal action. For instance, Facebook’s parent company Meta was fined $1.3 billion this year for violating GDPR guidelines. Companies need to understand whether they fall under GDPR and how to achieve

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Navigate Manufacturing Compliance Landscape with Proactive Approach

By |2024-04-03T10:55:55-04:00October 25th, 2023|Data Compliance, Technology|

Today’s manufacturers face a complex and evolving landscape of cyber security and data privacy regulations. Managed effectively, manufacturing compliance can deliver a competitive advantage in addition to protecting sensitive data from unauthorized access and misuse. However, compliance can prove challenging for companies with limited resources and expertise. As manufacturing companies navigate the world of Industry 4.0, the amount of data they process grows exponentially. Data collected from customers, suppliers, and partners drives strategy and innovation. But it also presents an attractive target for cyber criminals. Manufacturers have a legal and ethical responsibility to carefully safeguard that data. Complex Regulatory Landscape

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Data Quality and Security in Manufacturing Essential to Unlocking Industry 4.0 Benefits

By |2024-04-03T10:54:23-04:00October 18th, 2023|Cyber-Security, Information Governance and Management|

Industry 4.0 has transformed manufacturing, reshaping the competitive landscape and powering innovation. By leveraging disruptive technologies such as AI and 3D printing, factories increase productivity while quickly adapting to customer demands. At the same time, the changing landscape underscores the importance of data quality and security in manufacturing. For example, a smart factory might use 3D printing to create complex customized products on demand. Additionally, smart sensors constantly monitor for minute changes in machine health, optimizing maintenance and minimizing downtime. These improved tools and processes both require and generate huge amounts of data that must be carefully managed and protected.

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Adopting IT Project Management Best Practices Ensures Project Success

By |2024-04-03T10:52:44-04:00October 11th, 2023|Technology|

IT project management includes planning, executing, and controlling software development projects, network installation, system integration, cloud migration, and similar projects. Often complex and dynamic, these projects may involve multiple stakeholders, technologies, and risks. Therefore, IT project managers should adopt best practices to ensure success. Best Practices for IT Project Management Organize Regular Meetings Meeting with the IT project team before starting a project helps prepare team members for completing the project. It also allows the project manager to clarify the project objectives, scope, deliverables, roles and responsibilities, expectations, and communication methods. Regular meetings keep the project team informed, aligned, and

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Best Practices for SDOH Data Collection and Use Improve Health Outcomes

By |2023-10-06T10:02:43-04:00October 4th, 2023|Data Compliance, Information Governance and Management, Trending|

The World Health Organization estimates that social and economic factors determine from 30 to 55 percent of health outcomes. Known as social determinants of health (SDOH), these factors include elements like education, safe housing, social support, and food security. Effective collection and use of SDOH data proves critical to health equity. The medical community recognizes the importance of SDOH. In fact, a recent study showed that 80 percent of organizations collect data about the conditions in which people live, work, learn, worship and play. However, lack of standardization and other challenges make it difficult for these organizations to leverage this

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