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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 […]

2019 DATAVERSITY Top 20

It is once again time to look back and evaluate the struggles and successes of the previous year and then build those lessons into the year to come. Part of how we do that here at DATAVERSITY is to look at the content consumed by the community over the year and evaluate what was hot […]

Building Data Definition Consensus

Data definitions are about a business creating a common vocabulary in a common language. They’re about how the organization thinks about itself. Take product data: The business needs to know what products it sells, how they can be categorized, what needs to be understood about that, who has financial responsibility for them, and why it […]

Ease into Data Governance with a Data Quality Pilot

In the banking or pharmacy industry where regulations compel companies to have good governance in place, in industries such as publishing and telecom Data Governance often seems complicated and theoretical. That’s according to Sara Willovit, Product Data Governance at Becton Dickenson. Speaking at the DATAVERSITY® Enterprise Data World Conference, during her presentation titled Using Data […]

Data Governance and Machine Learning

Top management are pressuring their organizations to adopt advanced AI-enabled solutions, so Data Management challenges continue to mount on technology teams. The technology decision-makers are increasingly realizing that without a firm Data Strategy provisioning enterprise-wide supply of data on demand, machine learning and AI adoption will remain just a buzz. For most businesses today, this […]