Big Data Is Not the Insight: The Language Of Discovery:
by Joe Lamantia, UX Lead: Discovery Products at Endeca on May 15, 2013
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Designing Effective Search and Discovery Experiences for the Enterprise, Using the Language of Discovery ...
Designing Effective Search and Discovery Experiences for the Enterprise, Using the Language of Discovery
The oncoming tidal wave of Big Data, with its rapidly evolving ecosystem of multi-channel information saturated environments and services, brings profound challenges and opportunities for the design of effective user experiences that UX practitioners are just beginning to engage with in a meaningful fashion. In this coming Age of Insight, 'discovery' is not only the purview of specialized Data Scientists who create exotic visualizations of massive data sets, it is a fundamental category of human activity that is essential to everyday interactions between people, resources, and environments. Search is the gateway to discovery, and thus is indispensable as a capability.
To provide architects and designers with an effective starting point for creating satisfying search and discovery experiences this session presents a simple analytical and generative vocabulary for understanding how people conduct the broad range of discovery activities necessary in the information-permeated enterprise, and defining the search experiences they need.
Specifically, this session will present:
A simple, research-derived language for describing search and discovery needs and activities that spans domains, environments, media, and user types
Observed and reusable patterns of discovery activities in individual and collaborative settings
A practical model that defines actionable patterns of information engagement throughout the enterprise
Examples of the architecture of successful discovery experiences at small and large scales
A vocabulary and perspective for discovery as a critical individual and organizational capability
Guidance on using this vocabulary to drive large scale IT portfolio management as well as the design of individual search solutions
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