As organizations incorporate data scientists’ insights into their corporate strategies, they must harness these findings within a sustainable and practical approach to governance—and make sure data scientists are working within this system of governance.
Hadoop is great for storing and processing large data volumes, but its limits become clear when integrating ever-increasing volumes of data. A new solution—described in detail at the upcoming Strata+Hadoop World conference—can help organizations overcome this limitation.
The big data and analytics maturity model gives business-driven enterprises a framework for a flexible, coherent approach to big data and analytics. See what drives the evolution of this model to offer organizations insight through a real-time, actionable context.
Many organizations can take advantage of off-premises cloud environments or a hybrid approach. The key is a sound governance strategy to help ensure organizational data is secure and trustworthy in these environments.
Data is the new natural resource, and those who can harness it will be leaders. But, there are many myths about how to make data work for an organization.
During the Information Management Keynote at Insight 2014, IBM busts these myths. In her post, Harriet Fryman, vice president of Information
The emerging role of the chief data officer (CDO) was a key topic discussed at the UK Data Governance Forum’s second annual seminar held in London this September. At the seminar, representatives from organizations across many industry sectors addressed the increasing importance of data, the rise of