Countdown: Book Excerpt Chapter 4
Christine Haskell Christine Haskell

Countdown: Book Excerpt Chapter 4

People who work in data management are particularly dedicated problem solvers. They are committed to the mission in a way that makes them want to make the initiative successful. Most examples featured in the book reflect what happens in a specific type of data project -- a team-based project with stakeholders recruited from across the organization, including outside partnerships.

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Resistance and Mitigation Strategies
Christine Haskell Christine Haskell

Resistance and Mitigation Strategies

Change management wouldn’t be so hard if it weren’t for…the people. Open issues or objections left unresolved today cost time down the road. Suppose work starts before these concerns are mitigated. Stakeholders might get frustrated or begin to hold back their participation. Work produced might have difficulty getting implemented. Buy-in realizes impact.

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Countdown: Book Excerpt Chapter 1
Christine Haskell Christine Haskell

Countdown: Book Excerpt Chapter 1

Data has traditionally been managed by a combination of information technology (IT), Operations, and Finance. Over the last ten to fifteen years, the chief data officer (CDO) role has come onto the executive scene. While not yet a universal title, the role of the CDO started by reporting through these functions and is beginning to be considered separate.

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Linking Projects to Strategy
Christine Haskell Christine Haskell

Linking Projects to Strategy

It can be challenging when stakeholders cannot translate business questions into technical requirements or do not provide enough context for data teams to do so. From there, the data team is often left to maintain the status of a series of ad hoc projects rather than connect these business questions to a larger more defined data strategy.

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What does it take to become Data-Driven?
Christine Haskell Christine Haskell

What does it take to become Data-Driven?

Since most people don’t know a lot about IT organizations or data teams it’s important to understand why moving from ad hoc efforts to a mature approach to driving data projects makes sense. The timing might not be right (now). Becoming data driven through data as a service requires a serious investment of resources, finances, staff, equipment, services, etc.; scaling efforts will only increase those topline demands. It’s a serious ongoing commitment many organizations find themselves surprised by—even today.

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