All in Project Management
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.
Improved Data Access Requires More than Analytics and Technology
Whatever the environment, new data management and analysis technology may be important, but success and sustainability will also be driven by how we manage it and by how successful we are in putting data users and their priorities into the driver’s seat.
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.
What Kind of Management Structure Is Needed to Govern a Data Analytics Program?
I’m fairly “old-school” when it comes to planning and building information systems. That is, first you decide what your requirements are and what services you need to provide, then you decide which technologies you need to adapt, develop, or purchase to help you meet those requirements.
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.
How Important Is "Perfect Data" To Your Data Analytics Program?
If you’re doing exploratory data analysis to help you decide how much data prep might be needed to make your data public, that’s one thing.
Regarding Big Data One Manager's "Resistance" Is Another Manager's "Caution"
Given the wide variations that currently exist in most organizations in understanding the ins and outs of managing current data governance and analytics practices, it’s not surprising that bringing in potentially “disruptive” technologies will be even more of a challenge.