Posts tagged: Data

When you outsourced your data management, did you also add new risks to your business?

A recent Associated Press headline touted that a Study warns US must develop cyber intelligence.  Being that Information Security is one of the pillars of Information Governance, the article should raise alarm bells for some businesses. Many businesses have been so intent on containing costs, that in the rush to outsource more and more of [...]

Monday September 12th, 2011 in , , , , , , | No Comments »

Value Proposition: Why do I need to do Data Governance now?

Recently an associate commented that perhaps we could better gain buy-in by answering the question “why now?” Adding the dimension of time was an interesting twist on spelling out the value proposition. After all, many businesses operations have been running fine for years with only ad-hoc data governance processes.  What would be the risk of [...]

Monday December 13th, 2010 in , , , , , , , , , | No Comments »

Confusing What’s Urgent with What’s Important

Recently an acquaintance summed up data governance as “trying to do what is important, while be sidetracked by what is urgent.” To me this was an interesting observation, because it sums up a paradox associated with data governance. Resolving urgent data quality issues uses so many resources, there are often none left to implement the [...]

Monday December 7th, 2009 in , , , , , | No Comments »

Key Date-Time Stamps and Why They Matter

Have you ever considered how important the mundane time-stamp is to your BI operations? Think about it, every report includes the element of time in it. The report is a snapshot in time, or covers a range of time. Accurate and timely business intelligence requires good records of the history within your business processes. The [...]

Wednesday November 11th, 2009 in , , , , , | No Comments »

A Simple Choice

Right now many enterprise data producers behave like monopolies. They set the standards for what they produce and the downstream applications have no choice but to take what they get. This is a fundamental problem with most enterprise data architectures. This behavior encourages chaotic environments and cost business billions of dollars in wasted effort.

Wednesday March 18th, 2009 in , , , , , , | 2 Comments »

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