Chapter 4. Are You Ready for Converged Analytics?
In Chapter 1, you learned how organizations across different industries assessed their current analytics strategies to take the right next steps. An analytics maturity model can be used to situate and track this progress. One such model comes from Thomas Davenport and Jeanne Harris’s book Competing on Analytics: The New Science of Winning (Updated, with a New Introduction).1 This model identifies five stages of analytical competition.
Earlier chapters described analytics strategies as a combination of people, processes, tools, and data. You will see the same factors at play in reaching each stage of analytical competition. As organizations progress through the stages in Figure 4-1, they tend to adopt more advanced analytics.
The lowest stage of analytics maturity is being analytically impaired. In this stage, analytics is left to the experts, who themselves only receive the data after lengthy requirements gathering processes, which are hard to modify once implemented. Any resulting data products tend to be siloed, with ad hoc reports and analyses based on purely historic data.
Figure 4-1. Five stages of analytical competition (Adapted from Davenport and Harris, 2017)
The next stage of analytics maturity, localized analytics, offers somewhat more reliable processes for collecting and reporting on data, but these efforts are still ...
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