Editor’s Note: Data professional Tiankai Feng writes and performs songs about everything from lockdown to virtual meetings to analytics. We here at DATAVERSITY can’t stop humming “Governors of Data,” his catchy and clever ode to Data Governance – and we think you’ll enjoy it too. I started my role in Data Governance in January and realized quickly […]
What Is Data Leadership?
Data leadership refers to individuals implementing improved processes for coordinating and managing data within an enterprise. Although data-driven decisions are on the rise, business leaders still struggle to make accurate decisions because of issues such as data silos, poor data quality, and lack of data trust. More companies are focusing on hiring team members with extensive […]
Data Projects Should Start with Data Governance
The hallmark of any successful Data Governance implementation is awareness. In the context of a large system integration project, we are talking about awareness of: 1) Data Quality expectations and metrics, 2) Enterprise Data Management plan, 3) Data Governance best practices, 4) data risk factors, 5) Data Governance framework, 6) data owners/data consumers, 7) Data Architecture principles, 8) […]
Don’t Put Off Unstructured Data Risk Reduction
In today’s digital world, stockpiling data has become an unrelenting requirement across virtually every industry. While there are numerous reasons to do so, a primary driver is the invaluable insights it offers to business leaders, helping them to make smarter, faster data-driven decisions. Today, the majority of this stockpiled data is unstructured. In fact, unstructured […]
Today’s Decentralized World: Driving a Shift in Three Key Paradigms for Data Management
Pre-COVID data scaling, performance, and data services were largely manageable within the corporate data center. But the last several years have seen enterprises decentralize their data and IT systems, while employees now work remotely across different locations and geographies. This massive increase in remote work arrangements has created additional challenges around managing data access and […]
Cloud Data Management Challenges and Best Practices
Data sources are increasing at an accelerating pace, and so is the volume of data. In 2021, it was reported that 79 zettabytes of data were generated across the globe. The ceaseless growth in data volume has brought with it numerous challenges, with most of the challenges associated with access management, data security, and regulatory […]
The Ideal Data Fabric Architecture for Business Transformation
Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. Many enterprises are already extracting business-relevant intelligence by putting their data to work through an efficient data fabric architecture. This article gives an expert outlook on the key ingredients that go into building […]
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 Does Data Management Drive Efficiency for Organizations?
Data-driven analytics continue to deliver sophisticated solutions for manufacturing efficiency, early disease detection, and smart capabilities building in workplaces. Thus, industry operators and leaders continue raise their expectations and demands from data technologies with every passing year. Brent Gleeson of Forbes, who regularly contributes about organizational excellence, warns that in spite of having the best […]
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 […]