Database Reference
In-Depth Information
• In addition to running models, a parallel initiative needs to be created to
improve basic Business Intelligence activities, such as dashboards,
reporting, and queries on research activities worldwide.
• A mechanism is needed to continually reevaluate the model after
deployment. Assessing the benefits is one of the main goals of this stage,
as is defining a process to retrain the model as needed.
In addition to the actions and findings listed, the team demonstrated how analytics
can drive new insights in projects that are traditionally difficult to measure and
quantify. This project informed investment decisions in university research
projects by the CTO office and identified hidden, high-value innovators. In
addition, the CTO office developed tools to help submitters improve ideas using
topic modeling as part of new recommender systems to help idea submitters find
similar ideas and refine their proposals for new intellectual property.
Table 2.3
outlines an analytics plan for the GINA case study example. Although this
project shows only three findings, there were many more. For instance, perhaps
the biggest overarching result from this project is that it demonstrated, in a
concrete way, that analytics can drive new insights in projects that deal with topics
that may seem difficult to measure, such as innovation.
