Last week, in a presentation titled "Big Data Is Not the Insight: The Language of Discovery" I had the opportunity to share our evolving perspective on discovery and its relationship to big data with the audience at the Enterprise Search Europe conference in London. Our point of view is rooted in our (ongoing) deep research into discovery needs and activities in both enterprise and consumer domains, and it is always exciting to share our latest understanding and insights.
We've published the slides and materials shared at the conference, and welcome dialog about everything we've shared; the big ideas and fundamental concepts, the detailed findings, the implications for people active in the discovery and business analytics space, our recommended best practices for creators of discovery tools and solutions, etc.
I've included the description of the presentation from the conference program to complement the slides.
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