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Data Quality Metrics: How to Measure Success

Data Quality metrics are a measuring system that allows the “quality of data” to be evaluated. Data Quality metrics can be used to determine how useful and relevant data is, and it helps to separate high-quality data from low-quality data. It is much easier—and safer—to make business decisions based on reliable information. Poor information (based […]

Data Management 101

Data has the potential to provide useful and necessary information when making important business decisions. To ensure management and staff have the right data for decision-making, companies must invest in Data Management solutions that improve visibility, reliability, security, and scalability. In today’s digital economy, organizations are collecting and accessing massive amounts of data. Storing accurate, […]

How Digital Twins Can Optimize Supply Chain Planning and Efficiency

From the ongoing backlog at Southern California’s ports to the national shortages totaling more than 80,000 truck drivers, the COVID-19 pandemic has created myriad supply-chain challenges. With all of the changes and increased variables influencing the supply chain today, companies need a stronger understanding of various scenarios, and how those scenarios can impact a shipment at any […]

Maturing Business Intelligence with Data Governance

Data Governance (DG) ensures that enterprise data, the most valuable business asset, is preserved and used in the most efficient and safest manner. That said, Data Governance puts immense demands on organizational policies, processes, technologies, and lastly on accountable staff to develop an executable framework, from its core architecture to implementation stages. Enterprise Data Governance […]

16 Internal Data Management Best Practices

In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively. This is where the following 16 internal Data Management best practices come […]