Navigating the Labyrinth: Top 6 Compliance Mistakes Organizations Make

By |2024-04-03T09:19:01-04:00February 28th, 2024|Blog Archive, Data Compliance, Information Governance and Management, Technology|

In today’s complex regulatory landscape, staying compliant feels like negotiating a maze. One wrong turn can lead to hefty fines, reputational damage, and legal repercussions. However, when companies understand common compliance mistakes and take proactive steps, compliance becomes an organic part of doing business. 1. Ignorance is Not Bliss: Failing to Keep Up with Regulations GDPR took effect in 2018, initiating a cascade of regulations across the globe. New privacy laws and industry regulations appear on the scene every year, and governing bodies regularly make adjustments. If organizations neglect to stay on top of regulatory changes, they may mistakenly assume

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Why Companies Hate Data Compliance and How to Ease the Pain

By |2024-04-03T09:24:44-04:00February 7th, 2024|Data Compliance, Information Governance and Management|

No one wakes up in the morning thinking, “Wow, I just love regulatory compliance.” Multiple governments and industries each impose separate, complex, and sometimes conflicting regulations. And these data compliance regulations continue to evolve. Consequently, keeping track of the changing landscape can feel like playing a high-stakes game of Whac-a-Mole. Not playing the compliance game opens businesses up to a host of costly penalties, however, from fines to lawsuits and reputational damage. Consequently, businesses continue to invest in staff and equipment and pour time and resources into documentation, testing, and reporting. Meanwhile, data silos hinder efforts, and outdated technology struggles

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Information Governance Tips for eDiscovery Streamline the Process

By |2024-04-03T09:27:35-04:00December 28th, 2023|eDiscovery, Information Governance and Management|

One of the most time-consuming and labor-intensive stages of litigation, eDiscovery can cost millions of dollars and eat up valuable time. Massive amounts of data in widely varying formats make the process overwhelming. But these information governance tips for eDiscovery ease the process significantly. Complicated Data Landscape Digital evidence plays a pivotal role in litigation, and data requests can involve millions of documents. Relevant information lives in documents and emails, instant messages, voice mails, recorded meetings, customer input on websites, and more. Further, gathering this information requires accessing numerous data environments. For example, the organization may store data in multiple

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Considering SharePoint Premium? Business Benefits Offer Impressive ROI

By |2024-04-02T11:26:28-04:00December 20th, 2023|Information Governance and Management, Technology|

For businesses drowning in data, SharePoint Premium offers a lifeline. For instance, envision managing thousands of client contracts, each with many orders and invoices, varying expiration dates and needs. Premium makes the chaos manageable by delivering timely alerts, extracting actionable insights, and automating follow up. Uniting the AI-driven capabilities of Microsoft Syntex with the unparalleled document management features in SharePoint, Premium helps businesses unlock data value. With SharePoint original, users create compelling content and collaborate easily across the Microsoft 365 environment. Premium takes that several steps further. SharePoint Premium adds advanced AI capabilities to govern and secure critical data assets

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In-house eDiscovery Saves Time and Money, Delivers Increased Visibility

By |2024-04-02T11:24:56-04:00December 13th, 2023|eDiscovery, Information Governance and Management, Technology|

Traditionally, organizations have used outside vendors to handle their eDiscovery needs. Now, however, eDiscovery solutions have evolved to the point where even small to midsize organizations can bring eDiscovery in house. In-house eDiscovery brings significant benefits, but it requires the right tools and a strategic approach. Organizations considering in-house eDiscovery should think about the types of data they need to collect. For instance, many eDiscovery solutions can handle emails and documents. But more complex data types such as instant messages or social media will require more sophisticated solutions. Additional considerations include the amount of litigation the organization typically manages and

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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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