Culture Eats UX Strategy for Breakfast
The article summarizes 8 key programs that UX leaders employ in order to build and sustain strong UX cultures within their companies. These programs can be viewed as a “UX culture palette”. Each program in the palette is composed of activities which UX leaders can use to engage with the various stakeholders, teams, and business functions at their companies. The palette is a tool for thinking more broadly and systematically about practicing UX at scale within a business organization.
Culture Eats UX Strategy for Breakfast
The article summarizes 8 key programs that UX leaders employ in order to build and sustain strong UX cultures within their companies. These programs can be viewed as a “UX culture palette”. Each program in the palette is composed of activities which UX leaders can use to engage with the various stakeholders, teams, and business functions at their companies. The palette is a tool for thinking more broadly and systematically about practicing UX at scale within a business organization.
REV

REV is a product that was defined based on UX research and UX design innovation. REV allows business users to access, blend, cleanse, and manage all their data without help from an IT organization or the use of spreadsheets. The integral "data smarts" baked into REV helps users to find anomalies, outliers, and bad data quickly; and repair or eliminate them.
In REV, data is summarized visually to facilitate rapid understanding, while automated suggestions make short work of data repairs. Tedious, confusing operations like joins and unions are also made simple by a "recommender experience" that shows how currently disparate data sets would look once they're blended together.
Research



Story Map
Early-stage Concept
Late-stage Concept

Product

Just a few clicks to productive work...

Visualization is used to help users understand data and repair it
Visualizations update based on the data type of the selected column; in this case a distribution of values.

Here we see geographical data visualized. Suggestions are provided to repair data or confirm data types.

Value Proposition, Feedback: User + Analyst
Hayley Horn
Marketing Analyst
Interstate Batteries
Tony Baer
Principal Analyst
Ovum

With REV, I can combine competitor pricing data with our internal pricing quickly and easily and then gain market specific insights we are able to convert to revenue. All this adds up to new revenue for the company I couldn't generate before. With REV, I've really moved needle for our marketing organization. I love REV!
REV is a SaaS-based offering. The significance is that unlike traditional data profiling or data cleansing, the end user does not have to have explicit knowledge of database schema. That's important not only to lower the barriers to usage, but also because Informatica's service is intended to help users curate external as well as traditional source of internal data.