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Same Data, Different Conclusions: It’s a Good Thing

  • In just a couple weeks, I will be on my way to Italy for a two-week vacation! Che bella! When I was deciding where to go with my husband, I experienced a bit of work-related decision-making déjà vu. Every option we considered was very different from the next, but all were possibilities chosen based on the same exact set of data (number of vacation days available, budget, etc.).

    I felt like I was back at the office working with a team, arguing about what decision to make, even though we’re usually reviewing the same data. The difficulty can be that different does not necessarily mean wrong in these situations.

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Defining the Problem – How Savvy Data Pros Get It Right

  • Ever hear the phrase, “The first step is the hardest”?

    While it may be a common phrase for motivational posters, it also applies to the first step in making data-driven decisions: defining the problem you’re trying to solve.

    Without a clearly or accurately defined problem, time and other resources will be wasted, and you’ll be left unable to make an effective decision. Often, nailing down exactly what you’re trying to solve is more difficult than the analysis itself.

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Report: Successful Change Management Practices in the Public Sector

  • The quest to improve management of change in public sector agencies is by no means a new one. In 2006, Frank Ostroff, writing in the Harvard Business Review comments, that “the greatest challenge in bringing about successful change and significant, sustained performance improvement in the public sphere is not so much identifying solutions, which are mostly straightforward, as working around the unique obstacles” that are found in the public sector organizations.

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