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Understanding DataOps

DataOps (data operations) has its roots in the Agile philosophy. It relies heavily on automation, and focuses on improving the speed and accuracy of computer processing, including analytics, data access, integration, and quality control. DataOps started as a system of best practices, but has gradually matured to a fully functional approach for handling data analytics. […]

Data Architecture and Data Science: What is the Intersection?

Data Science, in practice, should ultimately combine the best practices of information technology, analytics, and business. On the other hand, Data Architecture enables data scientists to analyze and share data throughout the enterprise for strategic decision-making. Thus, without a sound Data Architecture in place, data scientists will remain severely handicapped in their abilities to develop […]

Data Strategy Trends in 2020

When it comes to having a Data Strategy, are you there yet? Remember, a real Data Strategy isn’t a road stop. It’s the destination. There’s optimism that Data Strategy in 2020 will be on the highway somewhere between those two points. Much of the good vibe is created by the fact that business stakeholders are […]

Data Strategy vs. Business Strategy

For any transformational Business Strategy, data-driven intelligence must be “readily accessible, interpretable, and actionable” whenever necessary. At the macro level, a data-driven culture has to be consciously propagated throughout the organization, end-to-end. Digital businesses have acknowledged the importance of data accessibility and have embraced this culture within their business model to remain competitive. The late […]

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