All in Data Program Management

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.

Introduction to PLANNING AND MANAGING BIG DATA PROJECTS: SELECTED ARTICLES

I began researching “big data project management” when I started seeing publications and online discussions concerning big data project “failures” being attributed to the classic reasons for project failure such as scope creep, poor stakeholder engagement, and inadequately understood requirements.

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.”

Managing Data-Intensive Programs and Projects: Selected Articles

I’ve created this special compendium of posts that are relevant to planning and managing data related programs and projects. There are four groups: