Database Reference
In-Depth Information
Table 2.3
Analytic Plan from the EMC GINA Project
Components
of Analytic
Plan
GINA Case Study
Discovery
Business
Problem
Framed
Tracking global knowledge growth, ensuring effective knowledge
transfer, and quickly converting it into corporate assets.
Executing on these three elements should accelerate innovation.
Initial
Hypotheses
An increase in geographic knowledge transfer improves the
speed of idea delivery.
Data
Five years of innovation idea submissions and history; six
months of textual notes from global innovation and research
activities
Model
Planning
Analytic
Technique
Social network analysis, social graphs, clustering, and regression
analysis
Result and
Key
Findings
1.
Identified hidden, high-value innovators and found ways
to share their knowledge
2.
Informed investment decisions in university research
projects
3.
Created tools to help submitters improve ideas with idea
recommender systems
Innovation is an idea that every company wants to promote, but it can be difficult
to measure innovation or identify ways to increase innovation. This project
explored this issue from the standpoint of evaluating informal social networks to
identify boundary spanners and influential people within innovation subnetworks.
In essence, this project took a seemingly nebulous problem and applied advanced
analytical methods to tease out answers using an objective, fact-based approach.
Another outcome from the project included the need to supplement analytics
with a separate datastore for Business Intelligence reporting, accessible to search
innovation/research initiatives. Aside from supporting decision making, this will
provide a mechanism to be informed on discussions and research happening
worldwide among team members in disparate locations. Finally, it highlighted
