All in Data Governance

Data Standards and Data Dictionaries Need Data Governance

Given the likely impact of the coming U.S. DATA Act on access to federal spending data, and continued development of federal “open data” programs, I wanted to “pick the brain” of someone for whom data and metadata standardization is a “meat and potatoes” business.

On Managing Health Data Programs: Some Thoughts After the Health Datapalooza Conference

As an extension of my own research and consulting on big data project planning and management, I wanted to improve my understanding of how data governance and program management practices impact how medical and health data are used.

Can Government Regulations Drive Improvements in Enterprise Data Governance?

Government regulators need to be sensitive to the costs of complying with and overseeing the regulations they impose on data management, as do the organizations that are regulated. Costs related to data oversight, quality control, standardization, security, and privacy all need to be considered in comparison with the quantitative and qualitative benefits that will be generated.

The Tip of the Spear: Connecting Big Data Project Management with Enterprise Data Strategy

“If data analysis is Big Data’s “tip of the spear” when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target. We also want the processes associated with throwing that spear to be both effective and efficient.”

Needed: Better Integration of Project Management and Data Management

These days, still, when you read about big data or if you attend conferences or webinars you’re much more likely to read about products and tools. You don’t hear as much about “back room” management issues you need to address to make sure all the members of the project team are sharing information and marching in the same direction.

Risk, Uncertainty, and Managing Big Data Projects

Anyone who practices project management for a living will recognize this list. It’s certainly not unique to big data analytics project. It is however reasonable to ask whether “big data” projects are unique in some way that exacerbates the probability of failure.

Getting Real About “Open Data” Part II

When it comes to the “open” data associated with the program, some users will want raw data to do their own thing, some will be satisfied with self-service tools that allow them to interact with the data in various structured or defined ways, and others will be more comfortable relying on the services of intermediaries that understand the data, the tools, and are qualified to interpret the information requirements of those they serve.