Log in or create a free Rosenverse account to watch this video.
Log in Create free account100s of community videos are available to free members. Conference talks are generally available to Gold members.
Enterprise Information Architecture
Summary
Key Insights
-
•
Information architecture evolved through three eras: technology, experience, and now the information era.
-
•
Early enterprise IA efforts were often undervalued, seen as an afterthought to implementing technology like CMS.
-
•
The information era recognizes information as a core organizational asset with real fiscal and strategic value.
-
•
Successful IA requires organizational alignment combining grassroots practitioners and senior champions.
-
•
Governance and a clear roadmap are critical to maintaining evolving information models within enterprises.
-
•
E-commerce taxonomy cannot simply be copied from merchandising structures; customer-facing navigation needs different taxonomies.
-
•
Many large organizations operate multiple unaligned information architectures across various systems causing costly data quality issues.
-
•
Enterprise IA maturity can be modeled in five stages from accidental silos to mastery with continuous improvement.
-
•
Taxonomy and ontology management tools like Synaptica, PoolParty, and Semaphore enable flexible, shared information models.
-
•
Fast-paced agile environments require parallel tracks for production and information strategy development with stable onboarding processes.
Notable Quotes
"There was a naive belief that just implementing content management systems would automatically make great experiences possible."
"We’re entering an information era because information itself is infrastructure and has actual monetary value."
"You need both a bottom-up and a top-down approach to achieve organizational alignment for information architecture."
"Customers can’t buy products they can’t find, and often that’s because product content isn’t related to non-product content."
"Organizational information models need to grow and be managed, not treated as static deliverables."
"Our role often feels like being information therapists – understanding pain and helping clients align their information."
"The first stage we see is the accidental stage with silos and no consistent information across the organization."
"Mastery means information is a strategic asset with quantifiable equity central to business identity and operations."
"You don’t need everyone to agree on every term, but you need governance to decide roles and approvals."
"In agile, you can’t move fast and break information strategy; you need a parallel track to feed changes into production."
Or choose a question:
More Videos
"Are you creative? Such a loaded question, isn't it?"
Dr. Karl JeffriesThe Science of Creativity for DesignOps
January 8, 2024
"Making your chief legal officer your best friend as a designer makes a lot of sense."
Amy MarquezINVEST: Discussion
June 15, 2018
"Building an internal research practice is critical for long-term value and integration of insights."
Steve Portigal Chris Chapo Kelly Goto Christian RohrerDiscussion
May 13, 2015
"Agency style staffing allows designers to bring learnings across multiple projects and grow through new challenges."
Alicia MootyDesign Staffing Models
September 30, 2021
"We may not have tech prowess but our sticky notes, card sorts, and test reports are our real superpowers."
Ana Maria Montero Barrantes Aditi Dhar Michelle Kaplan Nate Osborne Matt LaurenceThe Authentic UX Talent Show
January 8, 2024
"You can’t really advocate for UX or move an organization forward without interacting with your team and business colleagues."
Lada Gorlenko Sharbani Dhar Sébastien Malo Rob Mitzel Ivana Ng Michal Anne RogondinoTheme 1: Discussion
January 8, 2024
"It’s very difficult to align researcher goals with business growth, but that’s exactly what we try to do."
Sofia QuinteroThe Product Philosophy Behind EnjoyHQ
March 10, 2021
"The incentive structure at a big company is set up to reward people for entirely different stuff than innovation requires."
Laura KleinUnique challenges of innovation in enterprises
April 23, 2020
"Typically, data analytics teams are big and well-funded, while UX research teams are smaller and struggle for resources."
Andrew MichaelBuilding a Product Insights Team
March 10, 2022