Information Design for “Weak Signal” detection and processing in Economic Intelligence: A case study on Health resources

Sahbi Sidhom,Philippe Lambert

doi:10.37380/jisib.v1i1.13

Abstract

The topics of this research cover all phases of “Information Design” applied to detect and profit from weak signals in economic intelligence (EI) or business intelligence (BI). The field of the information design (ID) applies to the process of translating complex, unorganized or unstructured data into valuable and meaningful information. ID practice requires an interdisciplinary approach, which combines skills in graphic design (writing, analysis processing and editing), human performances technology and human factors. Applied in the context of information system, it allows end-users to easily detect implicit topics known as “weak signals” (WS). In our approach to implement the ID, the processes cover the development of a knowledge management (KM) process in the context of EI. A case study concerning information monitoring health resources is presented using ID processes to outline weak signals. Both French and American bibliographic databases were applied to make the connection to multilingual concepts in the health watch process.

Highlights

On November 2 6 t h . (2010), the University of California officially launched its laboratory project on “Information Design” (ID)
The experience shows that the techniques we used require automation to achieve a state of performance, robustness and an acceptable level of efficiency
The “Information Design” (Ansoff, 1995) process defined as the “art and science of preparing information so it can be used by humans with efficiency and effectiveness.”

Summary

Introduction

On November 2 6 t h . (2010), the University of California officially launched its laboratory project on “Information Design” (ID). Ansoff's: [in English]: A sign by “proactive” value: to capture WS by the decision-maker via the channel of intuition (i.e. spontaneous knowledge of the environment) to cause a request for additional information (i.e. explicit formulations) from these signals. Another contribution to the question of weak signals was made by Coffman who has worked on various aspects of the problem. The term “weak signal” is defined by “a high potential for new innovations” Due to this we propose to transform the term “sign” above as in “weak signal” to “Latent Warning Sign” (LWS) for designated information in a strategic context

Application framework

Health resources

From NLP to Information Visualization

Corpus study and indicator valorizations

Discussion and conclusion