Your current browser (Internet Explorer) is not supported.

While you may continue to use the website, please be aware that certain pages may appear different than intended and some functionality may not work. We built using modern technologies to give our users the best possible experience, which unfortunately meant no longer supporting Internet Explorer as it is currently in end-of-life and slated to be officially retired in 2022. If possible, we recommend viewing the site in a fully supported browser such as Chrome, Firefox, Safari or Microsoft Edge.

3 questions to ask when embracing an analytics model

Prioritizing the right things can help you create a strong foundation as your institution builds a successful analytics model

If you’ve attended an edtech conference at any point since 2012, then you’ve likely seen some variant of Gartner’s analytics maturity model.  While some fair criticism of the model exists, there are good reasons for its ubiquity.  It successfully maps out the growth trajectory institutions face in their efforts to move successively through four types of analytics–Descriptive, Diagnostic, Predictive, and Prescriptive–in a way that is intellectually intuitive.  The model regularly makes the rounds in Twitter and LinkedIn feeds because, like a good TED Talk, it takes the abstract concepts we interact with daily and wraps them in a tidy, understandable package.

Here’s the logic of the model: As an institution strives for increasingly sophisticated levels of analytics, the value of the information produced similarly increases.  If executed well, an institution steadily ascends from a place of hindsight, through insight, and into foresight – knowing what happened in the past and why it happened, what will likely happen in the future and how to influence this likelihood for the better. 

Read the full article

Choose your Region

This website uses cookies to enhance your experience on our site. To learn more about our cookie and privacy policy, please click here.