Posts Tagged ‘Data governance’
Data Management vs. Governance
Data and analytics technology is a benefit to all industries, even higher education. Data and analytics technology solutions and practices can position institutions for success. Campus Technology brought this interesting information to our attention in their article, “6 Technologies and Practices Impacting the Future of Data and Analytics in Higher Ed.“ The higher ed IT…
Read MorePursuing Digital Transformation
Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. It’s also a cultural change that requires organizations to continually challenge the status quo and be brave. Data is becoming the core corporate asset that will determine the success of your…
Read MoreData Governance and Taxonomies
The continuous push and pull of new regulations, projects and analytics investments create constant disruption for organizations. The volume of data created and managed is overwhelming. To address this, it feels like a refresher on data governance 101 is in order. Data governance refers to the set of laws, policies, regulations, authorities and decision-making structures that guide how…
Read MoreGetting the Full Benefit of Your Data
As data volumes, varieties, and velocities increase, securely storing, processing and governing your data becomes more challenging. This interesting topic came to our attention from CIO in their article, “Prevent your data lake from turning into data swamp.” The flexibility of schema in a data lake allows users from different operational silos of a business…
Read MoreUsing Data Governance for Findability
The emergence of data ecosystems with platform-based infrastructures continuously demonstrate the potential of value creation based on data. DataQuest brought this interesting topic to our attention in their article, “How data driven decision making leads to effective governance.” Data governance has become an emerging topic as organizations require a more sophisticated approach over the management…
Read MoreThe Importance of Data Governance
Data governance refers to the set of laws, policies, regulations, authorities and decision-making structures that guide how enterprises collect, share and use data to inform decisions. Failure to strengthen balanced data governance not only leads to harms and infringement of rights, but curtails innovation, restricts economic transformation and undermines using data to its greatest potential with…
Read MoreManaging Data
Data has never been more important for organizations to function. More and more data is being created every day and often in formats that make it difficult to use. The more data an organization creates, the more control it needs over it. This interesting topic came to us from The Economic Times in their article,…
Read MoreData Governance and Data Quality
Research highlights how data governance programs have a direct impact on data quality. Business Wire brought this interesting news to our attention in their article, “New Study Finds Data Governance Programs Are Critical to Trusting Data for Confident Decision-Making.” Findings from a recent data management survey highlights the potential rewards available to organizations starting to…
Read MoreMaking Data Accessible with Machine Learning
Machine learning is not new. Arthur Samuel coined the term in 1959 and defined it as a “Field of study that gives computers the capability to learn without being explicitly programmed”. The Machine Learning Times brought this topic to us in their article, “The First Rule of Machine Learning: Start without Machine Learning.” Machine learning is…
Read MoreAI and Data Governance
We already know that artificial intelligence (AI) can give structure to unstructured data and improve care delivery and management. This interesting topic came to us from Health IT Analytics in their article, “How AI Can Unlock the Full Potential of Clinical, Administrative Data.” While many organizations continue to use traditional approaches to data governance focused…
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